In this newsletter, you’ll find:

👀Read the performance right

🎁 Meta And Reddit Make Their Holiday Advertising Pitch

👨‍💻 Quick Hits

If you’re new to Buyology then a hearty welcome to you, You’ve reached the right place alongside 50k+ amazing people, Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

👀Read the performance right

Creator ad traffic is 94 to 98 percent mobile. Mobile is where iOS App Tracking Transparency blocks 85 percent of users from being tracked. Safari’s Intelligent Tracking Prevention kills cookie data within seven days.

In January 2026, Meta deprecated its 7-day view and 28-day view attribution windows. Stack those four facts and you get a creator campaign driving real conversions while the dashboard shows a fraction of them, and a media buyer pulling spend from a channel that’s actually profitable.

What Actually Broke in January 2026

When Meta removed 7-day view and 28-day view attribution in January, reported conversions dropped 15 to 30 percent overnight for accounts running standard pixel tracking. Not because performance dropped. Because measurement got worse.

Creator content specifically suffers here: it often drives someone to browse on Instagram, think for a day, and convert later on desktop. Without a view window long enough to capture that journey, the entire sequence goes unattributed.

Attribution accuracy for Meta ads has deteriorated 40 to 60 percent since iOS 14.5. If your creator campaigns are pixel-only in 2026, you’re optimizing on roughly half the actual conversion data.

The Technical Fix

Run Conversion API alongside the pixel, not instead of it. CAPI sends conversion data server-side, bypassing browser restrictions and iOS blocks entirely. For one account running CAPI cold in early 2026, add-to-cart tracking improved by over 250 percent in the first week with no change to campaign structure. The conversions were happening. They just weren’t visible.

Set your attribution window to 7-day click, 1-day view. It’s now the most reliable window available and captures the majority of conversions for short- to medium-purchase cycles without over-crediting.

The Measurement Framework

Platform reporting is now one input, not the answer. Run incrementality tests: compare revenue during creator ad-on versus ad-off periods against a holdout group. Track new customer acquisition rate and revenue lift independently from what Meta reports. When platform numbers and incrementality diverge, the experimental result is more reliable.

Creator campaigns that look like they’re underperforming often aren’t. Before pulling budget, confirm the tracking is actually working.

Together with Insense

Meta Just Broke Your Look-Alike Ads. Here’s the Fix.

Meta’s new Andromeda update is silently killing look-alike ads before they even enter the auction. If your creatives share too many visual cues, your ads collapse overnight.

With Insense, each collab gives you a full bank of raw footage you can mix, match, and turn into multiple scroll-stopping ads. One creator can fuel an entire round of testing without draining your team’s bandwidth.

• 20+ raw assets per creator you can spin into countless variations.

• Fast 14-day turnaround so you stay ahead

• Lifetime usage rights, so every winning asset keeps paying off.

Over 3500+ brands and agencies are already scaling 3× faster with 40% lower fatigue rates using Insense’s modular system.

Cost-effective UGC with lifetime usage rights? Yes please!!

Book your free strategy call and claim $200 toward your first creator collab!

🎁 Meta And Reddit Make Their Holiday Advertising Pitch

Christmas might still be months away, but Meta says the brands that win the holiday season are already laying the groundwork. New insights from Meta and Reddit show that successful Q4 campaigns are built through early creator partnerships, social discovery, and community influence long before shoppers start filling their carts.

The Breakdown:

Community-Led Discovery - Reddit says people increasingly rely on authentic discussions when deciding what to watch, buy, or engage with. According to its research, 82% of Reddit users trust human recommendations more than AI-generated summaries.

Measurable Ad Impact - A TransUnion study found Reddit entertainment campaigns generated an average 6.85x ROAS. Additional Samba TV data showed Reddit ads drove an 18% incremental tune-in lift and 15% higher viewing time than competing benchmarks.

Holiday Planning Blueprint - Meta’s 34-page holiday guide argues that winning Q4 starts months earlier. It recommends building creator partnerships and briefs in Q2, launching and testing campaigns in Q3, then scaling proven winners in Q4, with Reels driving awareness, creators expanding reach, and frictionless checkout boosting conversions.

Shopper Behavior Insights - Meta says 85% of global holiday shoppers use its apps weekly and spend 1.2x more than average shoppers. The company also reports that 78% have purchased directly in-app, highlighting the growing role of social commerce.

Brands are no longer competing only for clicks. Meta is pushing a long-term holiday strategy built around creators, Reels, and AI-powered campaigns, while Reddit is proving that trusted community conversations can translate directly into business results.

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

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In this newsletter, you’ll find:

🥲 Google Is About to Force an Upgrade You’re Not Ready For

🚀 Google and Pinterest See the Same Opportunity

👨‍💻 Tweet of the Day

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Together with Dreem

Fashion AI that turns one product image into model shots, product shots, and video.

Buyers don’t buy clothes. They buy the version of themselves wearing them. When the model on the page doesn’t look like the person browsing, the mental picture breaks; they leave. Or they buy, realize it doesn’t match, and return it.

Until now, showing your products on diverse models cost more than the conversion lift could justify. So every visitor saw the same model. One body type, one age, one skin tone. One chance to connect.

Dreem changes that.

Upload one product image:

• Model shots, product shots, and video from one upload

• 400+ virtual talents across body type, age, and skin tone (or create your own)

• ~$2 per image, matched to each segment

• Works from a phone photo

The person browsing sees themselves in your product. The mental picture holds. They buy. They keep it.

Buyology readers get 600 free credits before July 30.

Get started for free today

🥲 Google Is About to Force an Upgrade You’re Not Ready For

In September 2026, Google begins forced migration of all remaining Search campaigns to AI Max. The voluntary window closes then. The accounts that won’t feel it are the ones that already have a negative keyword governance system built, because AI Max’s matching is aggressive enough that without one, it will find budget to spend on queries you’d never consciously target. Here’s the system.

Three-Tier Negative Keyword Structure

Account level: Universal exclusions applied across every campaign. Job intent (careers, salary, hiring), DIY and informational modifiers (how-to, free, tutorial), and any query category that structurally never converts for your business. Set these once and forget them.

Campaign level: Intent exclusions specific to that campaign’s commercial goal. A campaign targeting buyers doesn’t need competitor brand terms or comparison queries unless you’re actively bidding on them elsewhere.

Ad group level: Conflict prevention. If you’re running multiple keywords in the same account, add each as a negative in every other ad group to prevent cannibalization and split delivery.

The Weekly Review That Keeps It Clean

AI Max tests irrelevant searches for weeks before learning they don’t convert, unless you manually prevent it. Weekly review for high-spend campaigns, bi-weekly for lower-spend:

→ Queries with high impressions and zero conversions: add as negatives immediately
→ Close variants with wrong intent: AI Max will keep testing them until you tell it not to
→ Thematically related but commercially irrelevant queries: the most common AI Max budget leak

Pay special attention to phrase match. A campaign targeting “project management software” now regularly surfaces for “project management certification” and “project management job openings” in 2026. Those don’t add themselves to your negative list.

The September Deadline

Accounts with 100 to 500 negatives across shared lists, campaign-level, and ad group-level are the ones that absorb the AI Max migration without a CPA spike. Accounts without that infrastructure hand the algorithm a blank check and call the first two months of results a learning phase.

September is closer than it looks.

🚀 Google and Pinterest See the Same Opportunity

Pinterest and Google are rolling out new AI-powered advertising tools designed to help marketers find new customers and scale campaigns more efficiently. The updates focus on automation, smarter targeting, and giving advertisers more ways to capture demand without rebuilding campaigns from scratch.

The Breakdown:

Demand Discovery Features - Google expanded Smart Bidding Exploration, giving campaigns more flexibility to pursue untapped search demand. Advertisers using the feature saw an average 18% increase in unique converting search categories and a 19% increase in conversions.

Seasonal Scaling Controls - Google’s new Promotion Mode lets advertisers temporarily increase budgets and adjust ROAS targets during launches, holidays, and sales, while improving performance consistency for budget-limited campaigns.

Customer Growth Tools - Pinterest launched Performance+ New Customer Acquisition, allowing advertisers to prioritize finding new buyers by uploading customer lists and assigning higher values to first-time customers. In testing, the feature drove a 64% increase in new-customer conversions.

Faster Campaign Launches - Pinterest also introduced one-click Performance+ Shopping campaigns for eligible Shopify merchants. Brands can now launch AI-optimized Pinterest campaigns directly from Shopify with best practices automatically applied.

Pinterest is making customer acquisition easier for smaller businesses, while Google is giving advertisers more ways to discover demand and scale during key sales periods. The common theme is simple: less manual setup, more automated growth.

💃Events

🔥 What Google’s AI Search Update Means For Your Content

Tomorrow | 60 Minutes | Virtual Event

The biggest takeaway from I/O 2026 isn’t a new feature. It’s a new discovery model. Learn how AI Mode chooses sources, why some content earns citations while other pages get ignored, and the workflows helping brands stay visible as traditional search behavior continues to change.

✅ Register For Free

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

🫠 Why Whitelisting Fails Before the Camera Ever Rolls

🛒 OpenAI Expands Retail Ads As New Claude Search Data Emerges

👨‍💻 Quick Hits

If you’re new to Buyology then a hearty welcome to you, You’ve reached the right place alongside 50k+ amazing people, Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🫠 Why Whitelisting Fails Before the Camera Ever Rolls

Here’s the uncomfortable part about creator-originated ads in 2026: the same fifteen seconds of footage can either beat your best brand creative by up to 50 percent, or quietly burn budget for two weeks before anyone admits it was never built for this job.

The gap isn’t the creator, the platform, or the spend. It comes down to three decisions made before anyone presses record.

Brief Two Videos, Not One: Most briefs ask for one deliverable and hope it works twice. It rarely does. What lands on a creator’s feed, where the audience knows them, often dies in the first two seconds of a cold scroll, where nobody does. Brief both cuts from day one:

• The feed cut: their pacing, voice, and edit instincts, left untouched.

• The paid cut: hook rebuilt for zero context, CTA placed for a cold viewer, aspect ratio matched to where it runs (vertical for Reels and TikTok, horizontal for feed). One shoot, two completely different jobs.

Settle the Rights Question Before the Camera Rolls

Picture this: a creator’s post is spiking, you want $5,000 behind it by Friday, and someone notices the soundtrack is a copyrighted song. Under 2026’s Partnership Ads and Spark Ads rules, that asset is dead on arrival. The accounts that never hit this wall lock the usage window, spend cap, and raw file delivery, music-free, before filming, not after the post takes off.

Increasingly, that means sourcing through networks where contracts and lifetime usage rights ship with the booking itself, Insense’s 80,000-plus vetted creators being one example. You can book a free strategy call and get $200 for your first campaign

Write a Brief a Creator Would Actually Want to Follow

Hand a creator a thirty-page shot list, and you kill the exact instinct that makes their content work.

Brief the outcome instead: the message, a window for the CTA, disclosure requirements, the platform’s pacing norms. Then step back. If their natural hook runs three seconds long for paid standards, that’s a quick trim, not a reshoot.

Briefed this way, the content still feels native once it’s running as an ad, which is the entire reason whitelisting works.

Three decisions, made once, before the camera rolls: brief for two jobs, lock the rights, and trust the creator enough to let the ad still feel like content.

Together with AirOps

Google I/O Just Changed Search. This Session Breaks It Down.

Your rankings look fine. Your traffic is quietly disappearing.

AI Mode no longer sends clicks. It just answers, and whoever gets cited wins the buyer.

Chris Long co-founded Nectiv and has reverse-engineered AI citation patterns across hundreds of B2B content audits. He knows exactly why some content surfaces in AI answers while identical pages sitting above it in rankings get nothing.

On June 17th, he’s breaking it down live in 60 minutes:

• The content signals AI Mode actually uses to decide what gets cited

• How to audit your existing pages for AI visibility gaps before Q3

• The refresh workflow that moves content from ignored to referenced

• How to measure real search presence when rankings stop telling the truth

The old rules are gone. This session covers what replaced them.

Secure your free spot

Can’t make it live? Register anyway and get the recording in your inbox within 24 hours.

🛒 OpenAI Expands Retail Ads As New Claude Search Data Emerges

OpenAI and Anthropic-related research offered a closer look at two important trends shaping AI platforms: monetization and discovery. One update focuses on scaling retail advertising inside ChatGPT, while the other reveals how Claude searches and sources information from the web.

The Breakdown:

Product Feed Ads - OpenAI is bringing catalog-based advertising to ChatGPT. Retailers can now upload entire product feeds and automatically generate ads, making it easier to promote large inventories without building campaigns product by product.

Retail Ad Expansion - The company says feed-based ads have already become one of the strongest-performing formats in its Ads Beta. Brands can now connect product catalogs directly to ChatGPT and scale campaigns much more efficiently.

Claude Searches Selectively - Data shared by Jonathan Clark found Claude searched the web in just 36.6% of prompts, compared to roughly 90% for ChatGPT. Searches were most likely when users asked ranking, comparison, local, or freshness-focused questions.

Brave Search Patterns - Recency-focused prompts triggered searches 81% of the time, ranking-related queries 67%, location queries 55%, and comparison searches 51%. Clark also found Claude’s citations overlapped with Google results 64% of the time, but only 8% with ChatGPT’s.

OpenAI is building more sophisticated advertising tools for retailers, while new Claude research offers rare visibility into how one of the industry’s leading AI assistants searches, cites, and surfaces information from the web.

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💃Events

🔥 The New Search Signals That Matter More Than Rankings

June 17 | 60 Minutes | Virtual Event

Your rankings can hold steady while your visibility declines. Learn how AI search evaluates content, what drives references in decision-stage queries, and the refresh frameworks helping marketers adapt to Google’s biggest search shift in decades. Chris Long, VP of Marketing at Nectiv, breaks down what belongs on your roadmap now.

✅ Reserve Your Free Seat

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

🫠 Your search traffic dropped. Your social reach dropped the same week. Same cause, no fallback left.

🛒 Amazon, Pinterest, and OpenAI deepen AI-powered shopping

👨‍💻 Tweet of the Day

If you’re new to Buyology then a hearty welcome to you, You’ve reached the right place alongside 50k+ amazing people, Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🫠 Your search traffic dropped. Your social reach dropped the same week. Same cause, no fallback left.

For two years the contingency was straightforward. Search drops, push social. Social drops, push search. Two channels, two escape valves, one always open.

That plan ended quietly. Google’s core update is suppressing scaled AI content. Social platforms deployed their own quality classifiers to detect and suppress generic AI posts. Brands that automated both with undifferentiated content are now bleeding from both simultaneously with nothing left to redirect to.

What the classifiers are actually detecting

Not AI-generated text. The absence of genuine signal.

Generic information aggregation. Sentences that could apply to any brand in any industry. Perspectives so safe they communicate nothing. These patterns get suppressed because they are what real users find worthless and scroll past.

A post written entirely by a human that says nothing original fails a quality classifier as reliably as an AI post does. A piece of AI-assisted content built around a genuine first-person observation, a specific operational result, or a contrarian position backed by real evidence passes because the signal is real regardless of what produced the words around it.

Production method is not the variable. Signal presence is.

The one change that survives every classifier at once

Before any AI tool touches content destined for external distribution, identify the one thing your brand knows from direct experience that a generic prompt cannot surface:

• A specific number from your own operations

• A client result with enough detail to be verifiable

• An observation from your category that contradicts the conventional advice

That input becomes the foundation. AI handles the structure and language around it. The output passes every classifier because the signal at the center is real. Without that input, AI produces content that sounds authoritative, covers the topic correctly, and gets suppressed anyway. The words are not the problem. The absence of anything behind them is.

Two production tracks, permanently separated

Not every content need carries classifier risk. Internal documentation, templated responses, operational summaries do not face suppression.

External distribution always does.

Build two explicit tracks: undifferentiated content for internal use only, differentiated content for any channel where a classifier evaluates it. The quality gate goes at track selection, not as a post-production review that slows everything downstream.

Once differentiated content is in distribution, track whether it is gaining ground across surfaces. SEMrush’s AI Visibility Toolkit monitors visibility across ChatGPT and Google AI Mode so you can confirm differentiated content is gaining AI retrieval while organic rankings recover simultaneously. You can try it free for 7 days.

Two classifiers. One fix. The signal has to be real.

Together with Insense

1 UGC creator = 20+ ad variations to scale your ad creatives

Insense makes UGC ads insanely cost-effective - and Andromeda-approved!

From one brief, get numerous raw footage clips to mix, match, and turn into multiple scroll-stopping creatives for your paid social ads.

Source 20+ pieces of raw content (per creator) with lifetime usage rights, all delivered in 14 days or less.

That’s how over 3500+ brands and agencies like Beauty Pie, Bones Coffee, Flo Health, and Aceable scale UGC without killing team bandwidth.

Cost-effective UGC with lifetime usage rights? Yes please!!

Book a free strategy call and get $200 for your first campaign.

Book Your Free Strategy Call

🛒 Amazon, Pinterest, and OpenAI deepen AI-powered shopping

Amazon, Pinterest, and OpenAI announced new commerce and advertising features designed to connect shoppers with products more efficiently. The updates show how AI assistants, social discovery platforms, and conversational interfaces are increasingly becoming shopping destinations.

The Breakdown:

Shopping conversations become ad inventory - Amazon has combined Rufus and Alexa+ into Alexa for Shopping, allowing users to research products, compare options, build carts, and make purchases while exposing them to Sponsored Products, Sponsored Brands, and conversational ad formats.

Intent signals become more valuable - Amazon says more than 300 million customers used Rufus in 2025, while nearly 20% of shoppers who engage with Sponsored Brands prompts continue conversations about those brands, contributing to a 6% lift in conversions.

Affiliate promotion becomes easier - Pinterest is introducing Amazon Storefront linking, allowing creators to showcase their Amazon Storefronts on profiles and automatically apply affiliate tracking when tagging Amazon products in Pins.

Retail catalog advertising scales up - OpenAI’s new Ads Manager beta feature lets retailers upload product catalogs and automatically generate ads from feed data, helping brands match inventory to high-intent shopping conversations without building campaigns product by product.

Amazon is embedding ads directly into purchase conversations, Pinterest is simplifying affiliate commerce, and OpenAI is bringing retail product feeds into ChatGPT. Together, these moves point toward a future where product discovery, recommendations, and purchases happen inside AI-driven experiences rather than traditional search and browsing journeys.

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

⏸️Pausing TikTok and pausing Meta are not the same decision. Most brands treat them like they are.

🔍 Google tests bigger ad placements while YouTube tweaks Shorts

👨‍💻 Tweet of the Day

If you’re new to Buyology then a hearty welcome to you, You’ve reached the right place alongside 50k+ amazing people, Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

Together with AirOps

Google didn’t update Search at I/O 2026. It replaced it.

AI Mode is expanding. The Search box just got its biggest AI upgrade in decades. Search agents now crawl the web and answer for users in the background, before anyone reaches your page.

If you’re still grading yourself on rankings and traffic, you’re scoring a game that no longer exists.

On June 17th, Chris Long, co-founder of Nectiv, breaks down what changed, what it means for B2B visibility, and how to build the workflows that get you cited in AI search.

In 60 minutes, you’ll get:

• The I/O 2026 updates that belong on your roadmap now

• How to measure visibility past rankings: citations, prompt coverage, mentions

• What makes content surface in fan-out and decision-stage queries

• The workflows to audit, refresh, and publish content built for AI search

The old rules are gone. This session covers what replaced them.

Secure your free spot

Can’t make it live? Register anyway and get the recording in your inbox within 24 hours.

⏸️Pausing TikTok and pausing Meta are not the same decision. Most brands treat them like they are.

TikTok GMV Max restarts to baseline within 24 hours of a pause. Meta puts you back in learning phase. Same pause duration, completely different recovery cost. A 7-day pause on TikTok costs you 7 days of revenue. A 7-day pause on Meta costs you 7 days plus another 7-14 days of degraded performance while the algorithm rebuilds signal from scratch.

The Meta pause is 2-3x more expensive than the TikTok pause for the same calendar duration. Every brand applying the same caution to both is leaving flexibility unused on one platform and understating cost on the other.

What this actually changes about how you operate

TikTok’s cheap restart unlocks testing strategies that are too expensive on Meta: diagnostic pauses to measure organic demand floor, seasonal pullbacks during low-margin windows, temporary budget concentration without paying a recovery penalty elsewhere.

The calendar most brands haven’t built

Seasonal slowdowns should pause TikTok and concentrate budget on Meta to protect Meta’s algorithmic signal through the quiet period. Launch windows can run the inverse: pull Meta back while a product gains organic traction on TikTok, then resume Meta once the launch is mature and the algorithm has real signal to work with.

The annual calendar currently treats both platforms as interchangeable channels with interchangeable pause economics. They are not. One restarts in a day. The other bills you for two weeks of underperformance every time you touch the off switch.

Build the calendar around restart economics. The asymmetry is free money if you use it and a hidden tax if you don’t.

🔍 Google tests bigger ad placements while YouTube tweaks Shorts

Google and YouTube are experimenting with changes that could affect both advertisers and users. Google is testing a new way to highlight important pages in search ads, while YouTube continues refining the Shorts experience with updated engagement controls.

The Breakdown:

A new ad format is being tested - Google’s “Top Pages” format highlights important pages within sponsored listings, giving them more space and prominence than traditional sitelinks while helping users discover key sections of a website.

Editorial policies still matter - The company highlighted common reasons ads get disapproved, including inconsistent business names, excessive punctuation or capitalization, poor-quality images, and unclear identification of products or services.

The thumbs-up becomes a heart - YouTube is testing a redesigned Shorts interface that replaces the traditional like button with a heart icon, bringing the experience closer to other social platforms.

Feedback signals may be affected - In the test, YouTube moves the dislike button into the three-dot menu instead of displaying it directly on the sidebar, potentially reducing how often users provide negative feedback on content.

Google’s new ad format could influence how advertisers think about landing pages and sponsored listings, while YouTube’s redesign may affect how viewers interact with content and provide signals that help shape future recommendations.

Together with MasterClass

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Introducing a new kind of meeting tool that transforms how you work.

Transform how you work with light, live guidance on every call, and feedback after every call that helps you identify your blind spots and find clear, specific ways to improve your performance.

Make excellence a habit when you see your growth across meetings first-hand in the insights tab. Build confidence at work and turn every meeting into an opportunity to improve, influence, and lead. Available only for Mac at this time.

Unlock free access to the On Call desktop app.

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🔥Events

🔥 The Agentic Playbook Udemy Uses to Scale AI Search Without Adding Headcount

Today | Virtual Event | Free

Nicholas King manages SEO and digital experience at Udemy at a scale most teams never reach. He’s not adding people to keep up. He built a system that scales without them. Today, he’s showing exactly how, alongside Bridget Nelson, who built the same thing at Chime.

✅ Reserve Your Free Spot

🔥 Most Influencer Audits Happen After a Bad Launch. This Session Teaches You to Run One Before.

Today | Virtual Event | Free

Waiting for numbers to come back empty is the most expensive way to learn your roster was wrong. Cadence Melendez from Moroccanoil and Brooks Miller, EVP of Creator Marketing at Edelman, walk through exactly how brand-side teams pressure-test a roster before it goes live.

✅ Reserve Your Free Spot

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

🥲 Your TikTok Shop ROAS Is Enormous. That’s The Problem.

🤖 Bots take over while Google reshapes search

👨‍💻 Tweet of the Day

If you’re new to Buyology then a hearty welcome to you, You’ve reached the right place alongside 50k+ amazing people, Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🥲 Your TikTok Shop ROAS Is Enormous. That’s The Problem.

GMV Max is efficient at finding people who will convert. What the dashboard does not tell you is that a significant portion of those people were already going to buy through your email list, your retargeting pool, or your owned channels.

The algorithm cannot exclude existing customers because TikTok Shop does not allow targeting exclusions. It finds the easiest conversions available and reports them all as wins.

The brand pays twice. Once in affiliate commission. Again in the slow conditioning of customers who now expect a discount code before completing a purchase they would have made at full price six months ago.

The audit that shows you the real number:

Pull your email and SMS-driven purchase rate from the 90 days before TikTok Shop activity ramped up. Compare it against the 90 days after. The drop in owned-channel revenue is the cannibalization tax.

TikTok Shop revenue minus that tax is your actual incremental lift. For most brands the gap between reported ROAS and incremental ROAS sits somewhere between 40 and 70 percent. The dashboard was not lying. It was measuring the wrong thing.

The affiliate screen most programs skip:

The affiliates producing the highest reported ROAS are usually the ones running the most discount-dependent content, because that is exactly what GMV Max rewards. Pull the last 20 posts from every applicant before approving them. Tag the percentage that lead with a discount, coupon, or urgency-based price hook.

Anything above 40 percent gets flagged. High reported conversion rate from a discount-heavy affiliate is not a signal to approve them faster. It is a signal that they are converting your existing demand at a margin cost while training your buyers that your brand lives in the deal economy.

Modash is hosting a free 3-hour session tomorrow with brand-side teams from Moroccanoil, Edelman, and L’Oréal on the criteria that separates creators who build brand equity from ones who extract it. You can secure your free spot here.

The fix most affiliate agreements do not include:

Content guardrails. Most agreements specify deliverables, timing, and payment terms. Almost none specify that discount-led hooks, urgency tactics, and price-framing language are not permitted. Add them. Enforce them with a quarterly review of every active affiliate’s last 20 posts against the original approval criteria.

The reported ROAS is a one-quarter number. The discount conditioning is a five-year problem.

Together with AirOps

AI search doesn’t wait for teams still figuring out prompts.

The shift from traditional search to AI search happened fast. What didn’t follow was execution. Most teams are still figuring out the workflow while their AI search visibility slips.

On June 11, SEO leaders from Chime, Bitly, and Udemy are showing exactly how they use Quill to move past one-off prompts into agentic Playbooks that execute and scale without manual intervention.

You’ll walk away with:

• What to say to leadership to get AI initiatives approved fast

• What’s working in AI search right now, straight from teams doing it at scale

• Where to start with agentic Playbooks and what to prioritize first

Tyler Roehmholdt (Director of SEO Strategy, Bitly), Nicholas King (Sr. SEO and Digital Experience Manager, Udemy), and Bridget Nelson (AI Search Strategist, Chime) are walking through what they’ve built and what’s moving the needle right now.

One session. A system you can start building the same week.

Secure your free spot

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🤖 Bots take over while Google reshapes search

Cloudflare and Google both highlighted major shifts in how the web works this week. AI agents are now generating more web traffic than humans, while Google’s latest search updates continue rewarding pages that best match user intent rather than relying solely on authority.

The Breakdown:

AI traffic reaches a major milestone - Cloudflare CEO Matthew Prince revealed that bots now generate 57.3% of global webpage requests, surpassing human traffic years earlier than expected as AI agents increasingly browse the web on users’ behalf.

Intent matters more than authority - SEO analyst Aleyda Solis found that Google’s May Core Update favored pages that closely matched a query’s intent, market, and result type, even when larger, more authoritative sites were competing.

The right destination won visibility - Some major sites such as NYTimes and NIH lost rankings, while original sources, local retailers, and country-specific domains gained visibility when they better matched what users were actually looking for.

Official guidance remains the benchmark - Google published new documentation reminding marketers that third-party SEO tools do not have access to internal ranking data, warning against services claiming to be approved, endorsed, or guaranteed to improve rankings.

AI agents are becoming a primary source of traffic, while Google’s ranking systems are getting better at identifying the most appropriate destination for a search rather than simply rewarding the biggest or most authoritative website.

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In this newsletter, you’ll find:

🥺The Battle For Your Traffic Is Being Lost Before Anyone Clicks.

📈 Google and OpenAI expand advertiser tools

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🥺The Battle For Your Traffic Is Being Lost Before Anyone Clicks.

Google’s search agents now synthesize answers before the user reaches any page. The user sees the answer, sees the cited sources, and clicks only if they want more depth. Citation comes first. The click is downstream of it. Most brands are optimizing the second step while losing the first.

Two Metrics. Most Teams Only Measure One.

Citation rate is the percentage of relevant AI queries where your brand gets surfaced in the answer, regardless of whether the user clicks. Most accounts sit at 5-15% on queries where their content ranks well in Google. Citation rate predicts next quarter’s traffic. Traffic rate confirms last quarter’s citations.

Run The Audit Today

Pull your top 50 buyer queries and run each through AI Mode, ChatGPT, and Perplexity. For every query, track three things: how often your content gets cited, how often a competitor gets cited instead, and how often the engine answers without citing anyone.

The pattern that surfaces tells you whether you have a citation problem, a competitor problem, or a content structure problem. Each has a different fix.

Restructure Content For The Citation Moment, Not The Click

Content optimized for clicks prioritizes the headline and the hook. Content optimized for citation prioritizes the cleanly extractable claim that an AI engine can lift without ambiguity.

Every key piece needs 3-5 standalone claims built for extraction: specific numbers, named frameworks, definitional sentences, comparison statements with named alternatives. These get cited. Long narrative prose does not.

The Citation Is The Funnel Now

On June 17th, Chris Long, co-founder of Nectiv, breaks down what changed at Google I/O 2026, what it means for B2B visibility, and how to build the workflows that get you cited in AI search. You can secure your free spot here.

The team obsessing over click-through while citation rate sits at 8% is solving the second problem before the first one is named.

Together with Modash

Your influencer picks are costing you launches.

Not the content. Not the brief. The roster.

You can nail the strategy, brief the creators perfectly, and still watch a launch flatline. Because the problem isn’t execution. It’s that the wrong people are on your roster, and you won’t know it until the numbers come back empty.

On June 11th, Modash is running a free 3-hour session with the brand-side teams who’ve cracked this.

Cadence Melendez, Influencer Marketing at Moroccanoil, Brooks Miller, EVP of Creator Marketing at Edelman, and Eric Ford, formerly Global Communications at L’Oréal, are sharing exactly how they build rosters that move product, not just impressions.

→ The selection signals Edelman uses to separate creators who shift perception from those who just rack up views
→ Why your highest-reach creators are often your lowest-trust ones, and how L’Oréal’s team handles that tradeoff
→ How Moroccanoil evaluates creator-brand fit beyond niche and audience size, and why most teams skip it

You’ll leave knowing exactly which creators don’t belong on your list, and what to do about it before it costs you.

Secure your free spot now

Can’t make it live? Register anyway and get the recording in your inbox within 24 hours.

📈 Google and OpenAI expand advertiser tools

Google and OpenAI announced new advertising features aimed at giving marketers more control over testing, optimization, and campaign management. The updates highlight how both companies are evolving their ad platforms as AI becomes a bigger part of digital marketing.

The Breakdown:

Performance Max gets new experiments - Advertisers can now test entire asset groups, compare seasonal and evergreen creatives, evaluate individual assets, and measure the impact of AI-generated content before rolling changes out broadly.

Testing goes beyond a single KPI - Google is also introducing support for multiple success metrics, while bringing conversion lift studies and experiments together under a centralized Experiments hub.

One placement can show several advertisers - OpenAI has started testing ad units that display multiple relevant advertisers within a single sponsored placement, using a second-price auction model to determine visibility.

More markets and campaign tools launch - OpenAI is expanding ad targeting into the UK, Japan, South Korea, Brazil, and Mexico while adding features such as budget conversions, bulk editing, custom CPM bidding, and campaign cloning.

Both companies are moving beyond basic AI-powered advertising. Google is giving marketers more confidence to test creative changes before spending budget, while OpenAI is steadily building the infrastructure needed to turn ChatGPT into a more mature advertising platform.

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💃Events

🔥 BreakingSilos 2026 Is the Only Event Built Entirely Around How Marketers Win in an AI-Driven Buyer Journey

Today | Virtual Event | Free

30 sessions. 70+ practitioners. Zero vendor pitches. Rand Fishkin, Co-Founder, SparkToro; Bogdan Babiak, CMO, SE Ranking; and Crystal Carter, Head of AI Search at Wix, are among the speakers showing exactly how AI shapes brand decisions and what marketers need to build to control that.

✅ Reserve Your Free Spot

Can’t make it live? Register anyway, you’ll get the recordings within 24hours.

🔥 The Workflow That Replaced Manual AI Use at Bitly, Udemy, and Chime. Shown Live for the First Time.

June 11 | Virtual Event | Free

Three marketing teams at three different scales all made the same decision. Stop prompting manually and build a system that runs itself. June 11, Tyler Roehmholdt, Bridget Nelson, and Nicholas King are on stage, showing every layer of what they built and where to start.

✅ Reserve Your Free Spot

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

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In this newsletter, you’ll find:

🥳 You’re getting three ads. You should be getting twenty-five.

🔎 Google and Bing are testing new ways to stand out in search

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🥳You’re Getting Three Ads. You Should Be Getting Twenty-Five.

The difference between a creator program that plateaus and one that compounds is not spend. It is how many variants one brief produces.

Most brands are at a 1:3 ratio without knowing it. The brands pulling away are at 1:20.

Check Your Ratio First

Pull your last 10 creator briefs. Count the finished ad variants each one produced.

Same budget. Same briefs. Twenty times the algorithm testing surface. The ratio is the leverage, and most programs have never measured it.

The Brief Is Where The Multiplication Starts

A brief asking for “one ad about the product” produces one ad. A brief asking for raw footage across specified scene types produces the asset pool from which 15-25 finished ads get built.

The restructure is one change: make the deliverable the asset library, not the finished ad.

Every brief specifies raw material requirements instead:

• 5-7 product close-ups

• 3-4 lifestyle angles

• 2-3 testimonial framings

• B-roll across 3 different contexts

Insense makes this structure cost-effective at scale. One brief gets you numerous raw footage clips with lifetime usage rights, delivered in 14 days or less, built to produce the asset pool the multiplication requires. You can book a free strategy call and get $200 for your first campaign.

The Post-Production Workflow That Builds The Twenty-Five

The multiplication happens in editing, not in shooting. Most brands skip this step because the brief never asked for the raw material.

Three editing dimensions. Same footage. Twenty-plus structurally distinct ads.

Hook variation: 3-5 different first frames cut from the same footage. Each tells the algorithm something different about who the ad is for.

Pacing variation: 15s, 30s, and 60s cuts. Different placements, different audience states, different funnel stages.

Angle variation: product-led, creator-led, and problem-led versions of the same script. Three different trust currencies from one shoot.

The variant-to-brief ratio is the multiplier on every dollar spent on creators. Most programs have never calculated it. Calculate it today.

Together with Planable

The AI event for marketing leaders: BreakingSilos 2026 Tomorrow

AI is answering for your brand. You didn’t write those answers.

AI tools are already forming opinions about your brand using signals you never curated. Recommending competitors. Shaping buyer decisions before your funnel even starts.

BreakingSilos 2026 brings together the practitioners who’ve cracked this. Free. Online. Tomorrow.

The sessions go deep on why AI forms brand opinions from signals you never controlled, where attribution is silently bleeding your BOFU performance, and what a cross-channel signal strategy actually looks like in 2026.

You’ll leave with:

• A clear map of how AI decides which brands to surface and what inputs actually move the needle

• A cross-channel framework connecting your SEO, social, PR, and content signals into one strategy

• The language and data to get your org aligned around ecosystem thinking

30+ sessions. 70+ speakers. Zero vendor pitches.

Reserve your free spot today and find out where the signal breaks.

🔎 Google and Bing are testing new ways to stand out in search

Google and Microsoft both rolled out search-focused experiments this week. Google is giving creators and publishers their own profile pages inside Search, while Bing is testing a visual change designed to make top ads more prominent.

The Breakdown:

Creators get their own Search presence - Google introduced Search Profiles, a dedicated space where eligible creators and publishers can showcase articles, videos, social content, websites, and other key information directly in Search.

Google adds a new audience-building tool - Users can follow creators directly from these profiles, increasing the chances of seeing their content in Google Discover and creating a new distribution channel beyond traditional search rankings.

Access starts with large audiences - Search Profiles are launching in the U.S. first and currently require at least 100,000 followers on YouTube, Instagram, or X, or 300,000 followers on TikTok to qualify.

Top sponsored results get more attention - Microsoft Bing is experimenting with larger favicons for the first sponsored ad position, making paid listings visually stand out more than lower ads and organic results.

Search results are becoming more visual and identity-driven. Google is giving creators new ways to build audiences directly inside Search and Discover, while Bing is testing subtle design changes that could make paid placements more noticeable and potentially more effective.

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

🥸Your Channels Aren’t Broken. They’re Playing The Wrong Position.

🔍 Google builds the reporting and ad stack for AI Search

👨‍💻 Tweet of the Day

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🥸Your Channels Aren’t Broken. They’re Playing The Wrong Position.

Most brands plan channels in isolation. Paid social runs as paid social. SEO runs as SEO. Each channel owns its own metric, its own quarterly review, and its own definition of success.

The brands compounding at scale do something different. They operate channels as a single funnel where every channel has one specific job: recruitment, graduation, or revenue. The role assignment is the strategic move. Everything else is optimization inside it.

Three Roles. Every Channel Fits One.

Pull every active channel and tag it against this framework. Most teams find at least one playing the wrong role.

TikTok being judged on direct-conversion ROAS when its job is recruitment looks like a failure. It is not failing. It is being measured against a job it was never meant to do. Email asked to generate cold awareness when its job is closing warm intent is burning budget on the wrong audience. The channel is not the problem. The role assignment is.

The Conversation Most Quarterly Plans Never Have

Channel silos produce channel optimization. The funnel leaks at every handoff because nobody owns the handoff.

The fix is starting quarterly planning with one cross-channel briefing where each channel’s job for the quarter is set against what the other channels need from it. Upstream decisions get made with downstream consequences in mind. The recruitment channel gets briefed knowing the graduation channel needs a certain volume of warm audience to hit its targets.

BreakingSilos 2026 is free, online, June 9th, with 30+ sessions on cross-channel signal strategy and getting organizations aligned around ecosystem thinking rather than channel-by-channel reporting. Worth the calendar block. You can reserve your free spot today and find out where the signal breaks.

Match The Metric To The Role, Not To Account-Wide CPA

Judging every channel on CPA is the structural cause of funnel starvation.

Recruitment channels should be measured on net new audience growth, brand search lift, and downstream channel response. Graduation channels on intent signals: add-to-carts, account creation, return visits. Revenue channels on CPA and ROAS.

When all three get judged on the same conversion metric, recruitment channels look weak and get cut. The graduation channel loses its incoming audience. The revenue channel runs out of warm traffic three months later and the team blames creative or seasonality.

The funnel was always cross-channel. Most teams just never optimized it that way.

Together with HubSpot

Quick gut check: how many of your marketing tools actually talk to each other?

If the answer is “not enough,” you’re losing context every time a signal moves between platforms.

HubSpot’s updated Essential Apps for Marketers collection pulls together key apps from TikTok Lead Syncing to Canva to Amplitude that connect directly to your CRM, so insights, leads, and creative all live in one place.

Less tab-switching, more context, and AI that actually knows your business.

Explore the collection

🔍 Google builds the reporting and ad stack for AI Search

Google announced new Search Console reporting for AI-powered search experiences while also beginning to test healthcare ads inside AI Mode. Together, the updates show how Google is building both the measurement and monetization layers for AI Search.

The Breakdown:

Search Console adds AI reporting - Google launched dedicated Search Generative AI reports that let publishers track visibility across AI Overviews, AI Mode, and AI-powered Discover experiences directly inside Search Console.

Publishers get deeper insights - The new reports include impressions, pages, countries, devices, and time-based performance trends, giving site owners a clearer view of how their content appears in AI-generated results.

AI Mode gets its first ad pilot - Google confirmed a limited U.S. test of healthcare advertising inside AI Mode, marking one of the first steps toward monetizing its AI-powered search experience.

Advertisers won’t need new formats - Performance Max, AI Max with search term matching, Shopping campaigns, and broad match campaigns are all eligible for the healthcare pilot, though creative restrictions currently apply.

Google is laying the foundation for the future of AI Search. Publishers are finally getting visibility into how their content performs inside AI experiences, while advertisers are getting an early look at how paid placements may eventually work inside AI-generated search results.

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💃Events

🔥 70 Practitioners Including Rand Fishkin and Bogdan Babiak Are Teaching the AI Visibility Playbook Live on June 9

June 9 | Virtual Event | Free

SEO, social, PR, and content are sending separate signals to AI. BreakingSilos 2026 shows you how to connect them. Rand Fishkin, Co-Founder of SparkToro, and Bogdan Babiak, CMO at SE Ranking, are among 70+ practitioners across 30 sessions.

✅ Reserve Your Free Spot

Can’t make it live? Register anyway, you’ll get the recordings within 24hours.

🔥 How the Creator Marketing Lead at Edelman Predicts Whether a Creator Will Drive Sales or Just Impressions

June 11 | Virtual Event | Free

Most brands only find out a creator was wrong for them after the budget is spent. Brooks Miller, EVP of Creator Marketing at Edelman, and Eric Ford, formerly Global Communications at L’Oréal, share the exact framework brand-side teams use to call that before the contract is signed.

✅ Reserve Your Free Spot

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

📊 GA4 Can Now See AI Traffic. It Still Can’t See The Part That Actually Matters.

💬 Meta expands AI tools for businesses

👨‍💻 Tweet of the Day

If you’re new to Buyology then a hearty welcome to you, You’ve reached the right place alongside 50k+ amazing people, Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

📊 GA4 Can Now See AI Traffic. It Still Can’t See The Part That Actually Matters.

Google normalizing AI referral traffic as a dedicated channel group is a real step forward. Sessions from ChatGPT, Perplexity, and other AI assistants now land somewhere visible instead of disappearing into direct or unassigned. The channel is real and worth tracking.

The problem: GA4 only measures what happened after the click. The strategically important question is what is happening in AI answers before the click, and that is something GA4 structurally cannot answer.

Optimizing from this data alone is like managing a sales funnel by only reading closed deals.

Don’t Touch The Data For 90 Days

The AI Assistant channel is too new for pattern recognition without a baseline. Annotate the implementation date and commit to 90 days of collection before drawing any strategic conclusions.

During that window, watch for one specific signal: sessions arriving through the AI Assistant channel that do not match your top-performing pages in traditional search. AI assistants are citing pages Google does not rank highly, and those pages are the fastest signal into what AI retrieval systems are actually rewarding independently of rankings.

Three Patterns. Three Different Problems.

GA4’s AI channel data produces a diagnostic when read against citation tracking. Each combination points to a different fix.

GA4 alone cannot tell you which pattern you are dealing with. It only shows one end of the funnel.

Pair GA4’s AI referral data with cross-platform citation tracking to close the gap. SEMrush’s AI Visibility Toolkit tracks citation frequency across ChatGPT, Perplexity, and Google AI Mode so you can match what is happening before the click to what is converting after it. You can try it free for 7 days.

Show Both Ends In Every Performance Review

GA4’s AI Assistant channel covers the bottom of the AI funnel. Citation visibility covers the top. Stakeholders seeing only GA4 are making content and optimization decisions based on the portion of AI-influenced behavior that is easiest to measure, which is reliably not the portion most worth influencing.

One tool shows you who arrived. The other shows you who was sent. You need both to know what is actually working.

Together with Modash

The creators you’re betting on might be the wrong ones.

Most influencer programs don’t fail on execution. They fail on selection. The roster looked right, the content went out, and the numbers still didn’t move.

On June 11th, Modash is hosting a free 3-hour session with the brand-side teams behind some of the most closely watched creator programs in the industry.

→ Why the creators who look perfect for your brand are often the worst fit for your launch
→ 3 rules Edelman uses to predict whether a creator will move perception or just move impressions
→ Why your highest-reach creators are often your lowest-trust ones, and what L’Oréal’s team does instead

Cadence Melendez, Influencer Marketing at Moroccanoil, Brooks Miller, EVP of Creator Marketing at Edelman, and Eric Ford, formerly Global Communications at L’Oréal, are all on stage.

You’ll walk away knowing exactly which creators on your current roster don’t belong there, and how to fix that before your next launch costs you.

Secure your free spot now

Can’t make it live? Register anyway, and they’ll send you the replay.

💬 Meta expands AI tools for businesses

Meta announced a major expansion of its AI-powered business messaging products at its Conversations event in London. The updates focus on customer support automation, business discovery, operational assistance, and new tools for building AI agents at scale.

The Breakdown:

Meta expands automated support - Meta is rolling out its AI business agents globally across WhatsApp and Messenger after limited testing, allowing businesses to answer customer questions and collect information automatically around the clock.

AI agents expand further - Meta confirmed that business agents are also coming to Instagram, though access will eventually move into paid subscription plans designed for businesses of different sizes.

Finding businesses gets easier - Meta is adding new search and sharing features that help users discover businesses with AI agents on WhatsApp, making it easier for customers to start conversations and receive immediate responses.

Business operations get automated - Meta launched a new Business Agent Platform that connects with tools like Shopify, Zendesk, and Shopee, while future agents will help with research, insights, scheduling, reminders, and competitive intelligence.

Meta is positioning AI agents as more than customer service chatbots. The company wants them to become operational assistants that help businesses manage conversations, gather insights, automate workflows, and reduce manual work across its apps.

🗝️ Tweet of the Day

💃Events

🔥 BreakingSilos 2026 Is the Only Event Built Entirely Around How Marketers Win in an AI-Driven Buyer Journey

June 9 | Virtual Event | Free

30 sessions. 70+ practitioners. Zero vendor pitches. Rand Fishkin, Co-Founder, SparkToro; Bogdan Babiak, CMO, SE Ranking; and Crystal Carter, Head of AI Search at Wix, are among the speakers showing exactly how AI shapes brand decisions and what marketers need to build to control that.

✅ Reserve Your Free Spot

Can’t attend every session live? Register anyway, you’ll get the recordings within 24hours.

🔥 The Agentic Playbook Udemy Uses to Scale AI Search Without Adding Headcount

June 11 | Virtual Event | Free

Nicholas King manages SEO and digital experience at Udemy at a scale most teams never reach. He’s not adding people to keep up. He built a system that scales without them. On June 11, he’s showing exactly how, alongside Bridget Nelson, who built the same thing at Chime.

✅ Reserve Your Free Spot

Can’t attend every session live? Register anyway, you’ll get the recordings within 24hours.

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

🥲Q3 Is Paying For Lessons Q1 Already Learned

🔍 Google adds more transparency to AI Search and Ads

👨‍💻Tweet of the Day

If you’re new to Buyology then a hearty welcome to you, You’ve reached the right place alongside 50k+ amazing people, Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🥲Q3 Is Paying For Lessons Q1 Already Learned

The most expensive context loss is not between tools. It is between time periods.

Nobody documents what was learned in a format that survives past the team’s short-term memory.

By Q3, the same audience segment killed in February gets retested. The creative variant that lost in March gets rebuilt. The media budget pays for the same education twice and nobody notices because the original lesson never became an artifact.

The recap discipline does not exist because nobody is accountable for institutional memory.

The One-Page Format That Actually Survives

Most post-mortems either do not happen or happen as a meeting that produces no document. The meeting is not the point. The artifact is.

Three sections. One page. Non-negotiable.

Filed in a consistent location. Tagged so it surfaces when the next related campaign is being planned. If it takes longer than 20 minutes to write, it is being overcomplicated.

Make It A Gate, Not A Nice-To-Have

Optional recaps get rescheduled until they disappear. The fix is structural.

No new campaign brief gets approved without the recap from the most recent adjacent campaign attached to it.

That single rule makes the recap happen because the next campaign cannot start without it. It also makes the recap useful because the team writing the next brief is the team reading it.

The incentive structure changes completely. The recap stops being administrative overhead and starts being the thing that unblocks the next sprint.

An Archive Nobody Searches Is Not An Archive

HubSpot’s 2026 Essential Apps for Marketers brings together 14 apps across creative, ads, events, and more so context travels with every campaign, decision, and handoff.

The cross-quarter memory problem is structural, and the archive needs to be searchable by campaign type, audience, channel, and outcome before it earns the name. Browse apps

A folder of PDFs titled by date is not institutional memory. It is a graveyard.

Build the archive so future briefs reference it by default, not by heroic effort from whoever happens to remember a test existed. The Q3 team should not be paying to relearn what Q1 already proved.

Together with AirOps

Stop running AI like it’s 2023

Most growth teams using AI are still doing the same work, just faster. The prompts exist, but the system holding them together doesn’t.

On June 11, growth leaders from Chime, Bitly, and Udemy are showing exactly how they moved past one-off prompts into agentic Playbooks that run, improve, and maintain themselves.

You’ll walk away with:

• The exact path from one-off prompts to agentic Playbooks that run on autopilot

• How to build oversight into your workflow without slowing execution down

• What to say to leadership to get AI initiatives approved fast

Tyler Roehmholdt (Director of SEO Strategy, Bitly), Nicholas King (Sr. SEO and Digital Experience Manager, Udemy), and Bridget Nelson (AI Search Strategist, Chime) are walking through what they’ve built and what’s moving the needle right now.

If you’re still patching AI into your workflow manually, this is the session that changes that.

Secure your free spot

Can’t make it live? Register anyway and get the recording in your inbox within 24 hours.

🔍 Google adds more transparency to AI Search and Ads

Google announced new reporting and control features across Search Console and Google Ads, giving publishers more visibility into AI Search performance while helping advertisers better track invalid traffic and refunded ad spend.

The Breakdown:

Publishers get new visibility - Google is rolling out Search Console reports for AI Overviews and AI Mode, showing impressions, pages, countries, devices, and performance trends, though click data remains unavailable.

Publishers gain AI controls - Google is testing a new Search Console toggle that lets site owners block content from appearing in AI Overviews and AI Mode without affecting traditional Search rankings.

Google surfaces invalid traffic credits - Advertisers can now access detailed reporting showing refunded spend from invalid clicks and interactions, including campaign-level impact and adjusted performance after credits are applied.

Traffic quality becomes clearer - The Invalid Activity Credit Report helps advertisers reconcile billing credits, evaluate traffic quality, and understand how Google’s fraud detection systems affect campaign performance.

Google is gradually opening the black box around AI Search visibility and advertising quality metrics. Publishers are getting more control over how AI uses their content, while advertisers gain better insight into where campaign spend is actually going.

🗝️ Tweet of the Day

🥳Events

🔥 Rand Fishkin, Co-Founder of SparkToro, Is Revealing How AI Forms Brand Opinions From Signals Most Marketers Never Controlled

June 9 | Virtual Event | Free

AI already has an opinion about your brand, and you didn’t write it. Rand Fishkin, Co-Founder of SparkToro, and Crystal Carter, Head of AI Search at Wix, show you exactly which signals shape it and how to own them across 30 sessions zero vendor pitches. Can’t make it live? Every session lands in your inbox.

✅ Reserve Your Free Spot

Can’t attend every session live? Register anyway, you’ll get the recodings withn 24hours.

🔥 L’Oréal’s Former Global Communications Lead Is Explaining the High-Reach Low-Trust Trap Live

June 11 | Virtual Event | Free

Eric Ford spent years managing creator relationships at one of the most influential beauty brands on the planet. This session, he’s breaking down the reach versus trust tradeoff that quietly derails most influencer programs and how his team learned to navigate it.

✅ Reserve Your Free Spot

Can’t attend every session live? Register anyway, you’ll get the recodings withn 24hours.

Advertise with Us

Wanna put out your message in front of over 50,000 best marketers and decision makers?

Checkout our Partner Kit here🤝

At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

🥲Stop running the same old logic

⭐ Reviews are becoming business infrastructure, not marketing

👨‍💻 Tweet of the Day

If you’re new to Buyology then a hearty welcome to you, You’ve reached the right place alongside 50k+ amazing people, Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🥲Stop running the same old logic

Here is what Andromeda needed from you: wait seven days, let historical signal accumulate, read the conversion data, decide. The logic was sound because the system was blind. It could not see your creative. It could only measure what happened after someone saw it.

Muse Spark is not blind.

The multimodal layer reads your frames on day one. It forms an opinion about who your ad is for before a single person converts. Then it acts on that opinion. By the time your seven-day window opens, the algorithm has already made its targeting decision, run with it, and handed you results shaped by a read you never knew happened.

You are not running a test anymore. You are auditing a decision that already got made.

The Window Moved, And Nobody Told You

Day-one data used to be noise. Now it is the most honest signal in your account.

What to read on day one, and what it actually means:

A creative reaching the wrong audience on day one was not unlucky. It was misread. The frame sent a signal the algorithm acted on, and the signal was wrong. No amount of budget or patience fixes a targeting decision that happened before your morning coffee.

Two Ads With Different Headlines Are The Same Ad Now

The multimodal layer does not read headlines first. It reads frames. Two creatives with identical visuals and different copy produce nearly identical reads and nearly identical performance, because to the algorithm they are the same ad wearing different shoes.

The variants worth testing are structurally different: first frame, creator presence, setting, product framing. If the frames look the same, you are not running a split test. You are running the same ad twice and waiting for a signal that will never come.

The Question You Should Be Asking Has Changed

It is no longer: did this creative convert?

It is: did this creative reach the people it was built for?

Wrong audience on day one means the frame is broken, not the targeting setting. Fix the frame. The algorithm already told you what it saw. Most teams just never thought to ask.

⭐ Reviews are becoming business infrastructure, not marketing

New research suggests that actively managing reviews and online reputation has a stronger connection to business performance than star ratings alone, while AI-powered discovery is making reputation signals even more important.

The Breakdown:

Management matters more - Researchers found businesses practicing active online reputation management consistently reported stronger performance, while Google star ratings alone showed no meaningful relationship with business outcomes.

Execution becomes an advantage - The study found reputation management delivered bigger benefits in highly competitive markets, suggesting ORM is evolving from a marketing activity into a core business capability.

Discovery is becoming selective - BrightLocal found 45% of consumers now use AI tools for local recommendations, while SOCi reported AI platforms recommend far fewer businesses than traditional Google local search.

Multi-location brands struggle most - Review volume continues growing, but response speed and consistency vary widely, with high-visibility brands responding significantly faster than lower-performing competitors across multiple locations.

The study suggests reviews are no longer just reputation signals for customers. As AI increasingly acts as the gatekeeper for recommendations, businesses may need to treat reputation management as operational infrastructure that supports visibility, trust, and long-term growth.

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💃Events

🔥 How the Creator Marketing Lead at Edelman Predicts Whether a Creator Will Drive Sales or Just Impressions

June 11 | Virtual Event | Free

Most brands only find out a creator was wrong for them after the budget is spent. Brooks Miller, EVP of Creator Marketing at Edelman, and Eric Ford, formerly Global Communications at L’Oréal, share the exact framework brand-side teams use to call that before the contract is signed.

✅ Reserve Your Free Spot

🔥 The AI System Chime Built That Runs Their Entire Search Workflow Without a Single Daily Prompt

June 11 | Virtual Event | Free

Most marketing teams are still manually running every AI task they have. Bridget Nelson built something different at Chime, and it runs without daily input. June 11, she’s on stage with Tyler Roehmholdt from Bitly, showing exactly what that system looks like inside a real org.

✅ Reserve Your Free Spot

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

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In this newsletter, you’ll find:

😏 Stop Building Trust, Spend It

📊 Google Is Deleting Your Ad Data, Speeding Up Approvals, and OpenAI Just Turned On Performance Ads

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😏 Stop Building Trust, Spend It

Every category has a trust hierarchy that existed before your brand did. The lab coat in supplement ads doesn’t create credibility. It cashes a check that the buyer already wrote to the clinical authority years ago. Your ad just has to present the right denomination.

Most brands think they’re in the trust-building business. The ones compounding on paid figured out they’re in the trust-spending business. Different job entirely.

The Map You Haven’t Drawn

Before your next creative brief opens, answer one question: who does your buyer already trust by default, before any ad runs?

Not who you want them to trust. Who they already do.

This map exists independent of your brand. You didn’t build these hierarchies. You inherited them. The only question is whether your creative is spending the right currency or trying to mint a new one.

The Structural Tax You’re Paying Without Knowing It

A supplement brand running founder-on-camera creative is trying to manufacture trust currency in a category where clinical authority is the accepted denomination.

That ad has to do two jobs simultaneously: build founder credibility, then transfer it to product credibility. A brand using clinical authority signals only has to do one: present the credential and collect the trust the buyer already extended to that structure.

Same category. Same product. One ad is structurally harder. It underperforms even when it’s better produced.

This is not a creative quality problem. It is a currency mismatch problem.

What The First Three Seconds Actually Need To Do

The first frame is not a hook. It is a trust signal. It should tell the buyer’s subconscious which account this ad is drawing from before any conscious processing happens.

Clinical category: credential, lab coat, ingredient in frame one. Transformation category: before state visible in frame one. Product-evidence category: product working in frame one, not a logo. Peer category: a recognisable peer in frame one, not a spokesperson.

The frame isn’t selling. It’s authenticating.

Get the currency right and the rest of the ad spends it. Get it wrong and the rest of the ad fights it.

Together with Hubspot

Stay connected to the context that matters.

You have more tools than ever. So why does it feel like critical context is still missing?

HubSpot’s 2026 Essential Apps for Marketers collection brings together 14 apps across creative, ads, events, and more, so the context you need travels with every campaign, decision, and handoff.

Browse apps

📊 Google Is Deleting Your Ad Data, Speeding Up Approvals, and OpenAI Just Turned On Performance Ads

Three updates this week that every performance marketer needs to act on. Google is setting expiry dates on historical ad data, rolling out instant ad approvals and, OpenAI just made ChatGPT ads measurable by outcome for the first time.

The Breakdown:

Google Is Deleting Historical Ad Data Starting June 2026 - Daily and weekly reporting data disappears after 37 months. Reach and frequency metrics go after three years. Build an automated export pipeline now if you rely on this data for forecasting or media mix modeling.

Real-Time Policy Reviews Change How You Should Build Ads - Google now flags violations during creation, not after submission. Fixable issues get caught on the spot. Compliance needs to be part of your creative process from the start, not an afterthought.

New Prospects Mode Filters Out Anyone Who Already Knows You - Google’s new targeting mode excludes anyone who has searched, visited, or engaged with your brand across Google and YouTube. Your budget chases genuinely new audiences instead of recycling warm ones.

OpenAI Just Switched On Cost-Per-Action Ads Inside ChatGPT - Select advertisers now pay only on clicks, signups, or purchases. Pixel and conversion tracking are already in place. If you have been watching from the sidelines, this warrants a test budget now.

OpenAI has hired aggressively from Meta and Snap to build out its ads team and is projecting $102 billion in ad revenue by 2030. Monthly and annual Google Ads data remains accessible for 11 years, so long-term reporting is safe.

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🥳Events

🔥 How to Know If a Creator Will Move Perception or Just Move Impressions Before You Sign Them

June 11 | Virtual Event | Free

Reach and fit are two different things, and most rosters confuse them. Eric Ford, formerly Global Communications at L’Oréal, and Brooks Miller, EVP of Creator Marketing at Edelman, show exactly how brand-side teams predict creator performance before a launch, not after.

✅ Reserve Your Free Spot

🔥 The Workflow That Replaced Manual AI Use at Bitly, Udemy, and Chime. Shown Live for the First Time.

June 11 | Virtual Event | Free

Three marketing teams at three different scales all made the same decision. Stop prompting manually and build a system that runs itself. On June 11, Tyler Roehmholdt, Bridget Nelson, and Nicholas King are on stage, showing every layer of what they built and where to start.

✅ Reserve Your Free Spot

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

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In this newsletter, you’ll find:

😤 Stop Writing SEO Content Like This

🛍️ Google Just Gave Retailers Two New Tools to Win Customers They Have Never Reached Before

👨‍💻 Tweet of the Day

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😤 Stop Writing SEO Content Like This

Every SEO “Expert” says: Pick 3-5 core topics and dominate them first. The advice is right for Google. It’s incomplete for AI engines. Google determines topic authority through internal linking, backlinks, and content depth on your own domain.

AI engines determine topic authority through off-site mention density, comparative content frequency, and citation patterns across third-party sources. The same topic you’ve worked years to dominate in Google can be invisible in AI engines.

Audit Your Topic Authority On Each Surface Separately, Not As One Number

Pull your top 3 core topics and audit each against both surfaces independently.

For Google: rankings, traffic, backlink profile, and internal linking density. For AI engines: citation share across ChatGPT, Perplexity, and Claude, mention density on off-site sources, and presence in comparative content across the category.

Most brands find that their Google authority is strong while their AI engine authority is weak.

Build The Off-Site Signal Stack That AI Engines Read As Topic Authority

Google rewards the authority you build on your own domain. AI engines reward authority that exists across the web.

The signals: forum and community presence, third-party comparison content that mentions you, podcast appearances with indexed transcripts, review aggregators, and Reddit threads that surface your brand naturally.

Building this stack manually is the patchwork approach. The brands moving past it have systematized off-site signal generation as a playbook that runs without daily attention. On June 11, growth leaders from Chime, Bitly, and Udemy are walking through what they’ve built and what’s moving the needle. You can secure your free spot here.

Restructure Topic Clusters For AI Query Patterns

Google authority compounds through hub-and-spoke topic clusters. AI engine authority compounds through query-pattern coverage.

The patterns AI engines respond to: comparison content (”X vs Y for Z scenario”), use-case content (”best X for Y outcome”), and definitional content (”what is X”). A topic cluster built only around long-tail keyword variants misses these patterns.

The clusters need both layers. Long-tail keyword content for Google, query-pattern content for AI engines.

Topic authority isn’t one metric. It’s two metrics on two surfaces.

Together with Pounce

Your ads are being mislabeled. And you’d never know.

When AI mislabels your creative, it reads a humor angle as emotional, a gameplay hook as a tutorial. Your analytics treats those as real signals. Everything built on top is off.

Wrong patterns. Wrong briefs. The budget behind ads that were never working.

Pounce uses real human judgment baked into every label. 98.5% accuracy on the April 2026 Mobile Gaming Video Ads Understanding Benchmark, versus 76.9% for the best frontier model.

From there, Pounce runs your creative strategy, brief generation, competitor intelligence, and performance optimization autonomously. The work a full performance team does, without the headcount.

This intelligence was built for Supercell, Wildlife Studios, and DeNA. Studios. 4 in 5 ads beat control, and it takes 80% less time on creative research.

Pounce is the first time that the same system is available to any brand that runs ads.

Get started for free with Pounce today.

🛍️ Google Just Gave Retailers Two New Tools to Win Customers They Have Never Reached Before

Google quietly dropped two updates this week that change how brands get found and how they find new customers. One gives retailers a window into how AI is surfacing their products. The other helps brands reach people who have never seen their name before.

The Breakdown:

Merchant Center Gets AI Shopping Insights - Four new reports are coming, covering share of voice, funnel performance, conversational queries, and missing product attributes. Retailers can now see exactly where their feeds lose discoverability inside AI results.

Incomplete Attributes Are Now a Visibility Problem - Google will flag missing specs like color, material, and style inside Merchant Center. In conversational AI shopping, incomplete product data means your products simply will not surface for the right queries.

New Prospects Mode Targets Brand-Unaware Audiences - Unlike standard new customer targeting, this mode excludes anyone who has purchased, searched your brand, visited your site, or engaged with your content across Google and YouTube.

Valuing New Customers Higher Improves ROAS - Brands using New Customer Acquisition Value Mode and valuing new buyers at twice the average order value already saw a 9% ROAS improvement in early testing.

Merchant Center is quietly evolving from a feed management tool into an AI commerce optimization platform. Retailers who treat product data with the same rigor as SEO content will have a clear edge as AI shopping expands.

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In this newsletter, you’ll find:

🥲AI Overviews Are Eating Your Best Content. Here’s How To Fight Back.

📱 Meta, Reddit, and X Are All Making the Same Bet on Human Data This Week

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🥲AI Overviews Are Eating Your Best Content. Here’s How To Fight Back.

Informational content is taking the hardest hit from AI search. Nothing looks broken until you check conversions, which is why most teams catch this six months too late.

Static visuals face the same threat. An infographic summarising a process gets absorbed into an AI Overview the same way a paragraph does. The only asset AI-generated answers cannot replace is one that requires the reader to do something with their own inputs.

Find What’s Already Being Cannibalised

Open Search Console and filter for pages where impressions are stable or growing but clicks are declining. Then manually search each query in Google and check whether an AI Overview is firing.

Pages losing clicks on informational queries with high conversion intent are your highest-priority targets. Proven demand exists. Google is serving the page. The click is just getting absorbed before it reaches you.

Build Tools At The Decision Point, Not The Informational Layer

The most effective interactive tools sit at the end of the informational journey, the moment a reader has absorbed the concept and now needs to apply it to their specific situation.

A pricing strategy page does not need a tool that re-explains pricing. It needs a calculator that takes the reader’s specific margins, costs, and targets and produces a number they can act on. That output is personalised, dynamic, and impossible for an AI Overview to generate in advance.

Map your highest-traffic informational pages to the decision or calculation that naturally follows the content. That gap between information and application is where every tool brief starts.

Track whether tool additions are shifting visibility across both traditional and AI surfaces. SEMrush’s AI Visibility Toolkit shows citation movement across ChatGPT and Google AI Mode so you can measure click recovery and retrievability in one place. You can try it for free for 7 days.

Solve The Credibility Problem On Arrival

Interactive tool pages have one specific problem: readers arrive skeptical about whether the tool is worth their time. A custom featured image built around the tool’s output, not its input, reduces that skepticism before a single word is read.

Show the reader what they will get. Not what they will have to fill in. That single visual decision cuts bounce faster than any copy change.

The click is worth fighting for. Build something AI cannot answer.

Together with Stack Influence

This Channel Delivers 5X ROAS and Gets You to Page One in 60 Days

Ancient Nutrition had a real product. Strong formulation. Decent listing. What they didn’t have was sales velocity that the algorithm could work with. So they stopped throwing money at bids and started sending product to micro-influencers instead.

The result: 15x sales growth, a 7.2x rank boost, all from creators their customers actually trusted.

Stack Influence automates the motion. Their AI matches your brand with creators from a network of 11M+ micro-influencers, and you simply pay them only with your products, so every dollar maps to a real purchase and a real piece of content.

• Neutralyze hit $233K in revenue at a 3.8x ROI on product seeding alone

• Lenny & Larry’s activated 1,560 creators and hit 11x monthly sales

• Aunt Fannie’s gave free product to 189 creators, and 8x’d Amazon sales in 90 days

Now you can run the same motion, and save 10% in your first campaign if you sign up this week.

Book Your Free Strategy Call

📱 Meta, Reddit, and X Are All Making the Same Bet on Human Data This Week

Three separate platform moves this week point to the same underlying trend. Meta, Reddit, and X are all restructuring how they capture, protect, and monetize human-generated content, and AI is the reason behind all three.

The Breakdown:

Meta Built Forum to Generate AI Training Data - Forum pulls Facebook groups into a Reddit-style Q&A experience with upvoted answers. The real goal is generating vetted human responses that AI chatbots can reference, not just better community discovery.

Reddit Is the Most Cited Platform Across All AI Models - Reddit CEO Steve Huffman says LLMs could not exist without Reddit data. The company now charges AI firms for commercial access and has sued Anthropic and Perplexity for using it without paying.

Brand Discussions on Reddit Now Directly Influence AI Answers - Reddit content surfaces regularly in AI responses. Authentic community engagement around your brand on Reddit is now a legitimate visibility strategy, one that keyword stuffing cannot replicate.

X Is Rewarding Original Creators and Cleaning Its Data Stream - Aggregator accounts reuploading content without adding value are losing impressions to original creators. Cleaner content means better data feeding Grok. Repurposed posts without genuine commentary will see their reach shrink.

Only 20% of X users ever post anything, so reducing aggregator activity could meaningfully impact overall platform engagement. Across all three platforms, quality human conversation at scale is now the most valuable asset in social media.

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

🔪The TACOS killing your Margins

🔍 AI Overviews are changing how people use Google

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🔪The TACOS killing your Margins

There’s a move most Amazon sellers make at least once, usually when ACoS climbs past an uncomfortable threshold. They log in, see a 38% ACoS on a Sponsored Products campaign, decide it’s wasteful, and cut bids. ACoS drops.

They feel like they’ve solved something. Then, 45 to 60 days later, organic revenue is down 30%, their BSR has slipped two pages, and their total revenue is lower than before they “fixed” the problem.

This is the TACoS trap. And it destroys more Amazon businesses than the competition ever will.

ACoS measures one thing: the efficiency of your paid traffic on a last-click basis. It completely ignores the organic halo your ads generate when they drive purchase velocity and push your listing up the keyword rankings.

TACoS (total advertising cost of sale) divides your total ad spend by your total revenue, both paid and organic. It’s the only metric that tells you whether your advertising is actually building something or just renting attention.

Here’s what the data actually says. A healthy launch phase TACoS of 30% to 50% is completely normal for a new ASIN in months one through three. That spend is buying sales velocity, which improves BSR, which improves keyword rank, which starts generating organic sales.

When that flywheel is running, TACoS naturally compresses over 6 to 12 months as organic revenue grows while ad spend stays flat. A TACoS trending from 40% down to 14% over 8 months means your ads did exactly what they were supposed to do.

A seller who cuts aggressively at 40% ACoS in month two never builds the velocity. Their TACoS stays high not because the ads are inefficient but because the organic side never accelerates. They’ve been optimizing the wrong number.

The tactical implication: track TACoS at the ASIN level, not just the account level. An ASIN with a 32% TACoS after 18 months is a structural problem, likely a weak listing, poor reviews, or wrong category targeting.

An ASIN with a 32% TACoS after 60 days is doing exactly what it should. The same number means completely different things depending on context, and flattening them into one account-level ACoS metric hides both problems and opportunities.

The second implication: when you layer in external traffic that generates organic purchase signals, TACoS compresses faster than paid spend alone can achieve. External purchases that come in through creator content or influencer channels don’t register in your ad spend denominator, but they do increase your total revenue numerator.

Every $5,000 in influencer-driven sales you add to the denominator drops your TACoS by a measurable amount without touching a single bid.

This is why Stack Influence belongs in the same stack. Their AI matches micro-influencer campaigns from a network of 11M+ micro-influencers, and you simply pay them only with your products.

Trusted by brands like Martha Stewart and Unilever to reach 5X average platform ROAS, generate the kind of organic velocity that compresses TACoS from the revenue side rather than the spend side. You can sign up this week and save 10% on your first campaign.

Together with HubSpot

Stay connected to the context that matters.

You have more tools than ever. So why does it feel like critical context is still missing?

HubSpot’s 2026 Essential Apps for Marketers collection brings together 14 apps across creative, ads, events, and more, so the context you need travels with every campaign, decision, and handoff.

Browse apps

🔍 AI Overviews are changing how people use Google

A new study analyzing 846,000 Google searches found AI Overviews are fundamentally changing user behavior, keeping people on search pages longer and pushing users into slower, more comparison-focused decision-making patterns.

The Breakdown:

AI Overviews slow decisions - Researchers found users spent significantly more time on Google when AI Overviews appeared, regardless of search intent, with engagement patterns becoming far more consistent across all query types.

Navigational behavior shifted heavily - Users searching directly for brands or websites no longer clicked immediately, with AI Overviews pulling even highly intentional users into broader page exploration before visiting destinations.

Users started reading differently - Cursor tracking showed users paused more often while covering larger areas of the page, suggesting people increasingly read, evaluate, and compare listings instead of quickly selecting top results.

Users revisited listings repeatedly - Researchers found users scrolled back upward far more frequently on AI Overview pages, signaling active reconsideration and comparison behavior instead of one-direction scanning toward immediate clicks.

Google search is increasingly becoming a decision environment instead of just a traffic gateway. Brands now need search listings built for scrutiny and comparison, not simply visibility or ranking position alone.

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

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In this newsletter, you’ll find:

🥲Your AI SEO workflow is incomplete

📺 YouTube in 2026: The Numbers Every Marketer Needs to Know

👨‍💻 Tweet of the Day

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🥲Your AI SEO workflow is incomplete

Every SEO workflow being shared right now is built on the same logic: use Claude or ChatGPT to do keyword research, generate outlines, write meta descriptions, draft outreach emails. The work gets faster.

The blind spot is that the same engines being used as productivity tools are also becoming the search surface buyers use. Founders are optimizing content for Google with AI while their buyers are increasingly asking ChatGPT instead, and content built for Google ranking doesn’t automatically get cited in AI answers.

Audit What Percentage Of Your Category’s Search Is Shifting To AI Engines

Run the same buyer queries through Google and through ChatGPT, Perplexity, and Claude. Document which surface returns your brand, which returns competitors, and which returns neither.

For most B2B and considered-purchase B2C categories, AI engines now handle 20-40% of research-stage queries, climbing fast. If your brand is invisible on those surfaces, you’re losing 20-40% of the consideration set before the funnel begins.

Separate The AI-Tool Workflow From The AI-Engine Workflow Explicitly

These are two different programs and should be treated that way.

The AI-tool workflow uses Claude and ChatGPT as productivity multipliers for SEO work that still optimizes for Google. The AI-engine workflow optimizes the content itself for citation in AI engines, which requires structural patterns that Google doesn’t reward. Most teams collapse these into one workflow and lose on both surfaces. AirOps analyzed 15M+ AI queries and built the exact playbook Ramp, Carta, and Webflow are running right now, including structural patterns, refresh cadences, off-site signals, and a 90-day action plan. You can get the playbook here!

Build A Content Strategy That Wins Both Surfaces

Content can earn Google rankings and AI citations simultaneously, but only if the structural requirements of both are designed in from the start. Retrofitting AI-engine optimization onto Google-first content is harder than building for both upfront.

The dual-surface checklist: Google-first elements (keyword density, internal linking, meta descriptions) layered with AI-engine elements (clear heading hierarchies, comparative claims, structured Q&A sections, quarterly refresh). The two layers coexist on the same page, but require different inputs at the brief stage.

Most founders are using AI to write content. The brands compounding are using AI engines as a search surface their content needs to win.

📺 YouTube in 2026: The Numbers Every Marketer Needs to Know

YouTube now has 2.58 billion monthly active users, sessions average 14 minutes and 29 seconds, nearly double TikTok’s 9 minutes, and it is the top platform for product reviews across every generation. For marketers, this is where purchase decisions get made.

The Breakdown:

Shorts Is a Massive Discovery Engine - 200 billion daily views on Shorts, with trending ones running 50-60 seconds. 51% of Gen Z boys and 43% of Gen Z girls made a purchase after seeing a YouTube Shorts ad.

Gen Z Lives Here and Buys Here - 84% of Gen Z have a YouTube account. YouTube ads drove purchases more than TikTok or Facebook, with 67% of Gen Z teens seeing ads for products they asked parents to buy on YouTube.

In-Feed Ads Outperform Everything Else - In-feed ads hit a 1-3% CTR against a platform average of 0.65%. Average CPM sits between $5-$10, with the cheapest windows being January-February and July-August.

Brands Are Increasing Spend in 2026 - 56% of companies plan to put more budget into YouTube this year, making it the fifth most prioritized platform for marketer investment globally.

With ad revenue crossing $40 billion in 2025 and 24% of users going to YouTube specifically to find new products, the platform has moved well beyond entertainment. For brands not yet treating YouTube as a full-funnel channel, the window to get ahead of the spend wave is closing fast.

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

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In this newsletter, you’ll find:

🧠The Only Way To Build Viral Hooks

🔧 Microsoft Upgrades Ad Campaign Management and Launches AI Citations Tracking

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🧠The Only Way To Build Viral Hooks

Generic hook frameworks (call out the problem, lead with the result, contrarian claim) are too abstract to brief against. A hook pattern library extracted from one competitor’s actual ads, categorized by structure, opening 3 seconds, emotional register, and claim type, is operational.

The higher-leverage move is extracting the library from the competitor doing 10-20x your revenue, because their winning patterns reveal what’s working in your category right now.

Pull The Top 20 Ads From The Target Competitor And Tag Each Hook Against A Structured Taxonomy ( Yes Taxonomy For the lack of a better word. Not Because this is completely AI 🥲)

The taxonomy needs at least five dimensions:

• Hook structure (problem-led, result-led, contrarian, demonstration, question)

• Opening 3-second visual

• Emotional register

• Claim type

• Creator-led vs brand-led delivery

Manual tagging across 20 ads is doable. The breakdown happens when you scale this across multiple competitors or time windows, because the work multiplies faster than the team can handle.

Generic AI tools mis-tag 1 in 4 ads, which means the library gets contaminated the moment you scale beyond manual.

Pounce hits 98.5% accuracy on the April 2026 Mobile Gaming Video Ads Understanding Benchmark, versus 76.9% for the best frontier model, with real human judgment baked into every label.

The accuracy is what makes the library trustworthy enough to brief against.You can get started for free with Pounce today.

Identify The Patterns That Recur Across The Highest-Spending Ads

Once the 20 ads are tagged, the analysis surfaces recurring patterns. A hook structure appearing in 6 of 20 is a pattern.

A combination of hook structure and emotional register appearing in 4 is higher confidence. A specific opening-3-second visual in 3 of the top 5 highest-spending ads is a near-certainty signal.

The output isn’t “they use hooks.” It’s “70% of their top-spending ads open with a creator-led demonstration in the first 2 seconds, with a contrarian claim in seconds 3-5.” That specificity is briefable.

Brief Your Next 10 Creative Variants Against The Patterns That Recurred Most

The library is only valuable if it produces a brief queue. The next 10 briefs should be structured against the recurring patterns, with one variable changed per brief.

The result is a creative pipeline that compounds against proven category patterns, instead of one that resets each cycle on theory.

The hooks aren’t theoretical. They’re already running in your category.

Together with AirOps

Your buyers moved to AI search. Your content didn’t follow.

52% of adults now research on ChatGPT, Gemini, and Perplexity. Those visitors convert at 4.4x the rate of organic search, and 83% of the citations they see go to pages updated in the last 12 months.

You’re not losing to better content. You’re losing to better structure, fresher pages, and off-site signals you haven’t touched yet.

AirOps analyzed 15M+ AI queries and built the playbook content teams are using to close that gap right now. Inside you’ll find:

• Structural patterns that make your content easy for AI engines to extract and cite

• Refresh cadences and off-site signals that keep you visible as algorithms shift

• Team models and a 90-day action plan you can run this Quarter.

Teams at Carta, Ramp, Webflow, and Klaviyo are already running this playbook to win AI search visibility and pipeline.

Get the playbook

🔧 Microsoft Upgrades Ad Campaign Management and Launches AI Citations Tracking

Microsoft rolled out new import, bidding, and reporting tools for advertisers while making its Clarity Citations dashboard generally available so marketers can finally see how their content shows up in AI-generated answers.

The Breakdown:

Importing Campaigns Just Got Easier - A new Import Center lets advertisers bring Google Ads and Meta campaigns into Microsoft Advertising with search, filter, edit, and troubleshooting built in, plus performance recommendations after imports complete.

Cross-Account Bidding Goes Live - Portfolio bid strategies now work across multiple accounts for Search and Shopping campaigns, with new reporting metrics for Avg Target ROAS, Avg Target CPA, and Avg Target Impression Share visible directly in the platform.

Reporting Gets More Flexible - Custom columns now support all conversion metrics with goal name segmentation and CPA, ROAS, and All Conversions analysis, alongside data-driven attribution for automated bid strategies now rolling out broadly.

You Can Now Track AI Citations in Clarity - The Citations dashboard shows how often your pages get cited in AI-generated answers, your share of authority versus competitors, what queries AI used to find you, and how much traffic AI assistants are actually sending your way.

Microsoft is making multi-platform campaign management less painful while giving marketers visibility into a metric most platforms still ignore: how AI systems reference your content. If you’re not tracking AI citations yet, Clarity just made it free and easy to start.

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In this newsletter, you’ll find:

👀 The metric that reveals cracks

🧠 Google Marketing Live 2026: Gemini is now running the entire ad stack

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Together with Insense

You don’t have a creator problem. You have a workflow problem.

A creator goes quiet. A package gets lost. Someone forgot the contract. You’re two weeks behind on the content your paid team is waiting on. The fix isn’t hiring another person. It’s not doing it manually anymore.

Insense is the self-serve platform built to replace that chaos.

One place to receive creator matches from 80,000+ vetted profiles, run briefs, ship product, automate contracts and payments, and own full lifetime content rights.

The results speak for themselves:

• Nurture Life cut turnaround time from 2 months to 2 weeks using just one marketer and Insense

• Solawave received 180+ ad-ready assets in a single month by simply shipping products

• Matys Health achieved 12× reach through Spark Ads on TikTok

Over 3,500+ brands, like Quince, Monster Energy, and Paysend, get first applications in 48 hours and save 40+ hours a month. That’s what fixing the workflow looks like.

Book a free strategy call by May 31st and get a $200 platform credit towards your first campaign.

👀 The Metric That Reveals Cracks

Customer service teams measure tickets resolved per hour, average handle time, and CSAT. None of these answers the question that actually matters: which post-purchase email should have prevented the ticket in the first place?

Tickets per 100 orders, broken down by the upstream email that failed to communicate the answer, is the metric most teams aren’t running. It turns customer service from a cost center into a diagnostic for the entire post-purchase program.

Tag Every Inbound Ticket By Which Email Should Have Prevented It

Audit the last 30 days of customer service tickets and tag each by the upstream email that should have answered the question.

“Where’s my order” tickets trace back to the shipping notification. “How do I use this” tickets trace back to the how-to email or the order insert. “When will my subscription ship” tickets trace back to the subscription confirmation. “What’s your return policy” tickets trace back to the order confirmation or the FAQ link inside it.

The tagging is the diagnostic. Each high-volume tag points to a specific email that’s underperforming.

Calculate Preventable Ticket Volume As A Percentage Of Orders

Most brands measure CS volume in absolute terms (tickets per week, tickets per agent). The smarter metric is preventable tickets per 100 orders.

A healthy DTC brand sits at 2-4 preventable tickets per 100 orders. Above 6 indicates the post-purchase email program is structurally failing.

The number is comparable across time and across brand size, unlike absolute ticket volume, which scales with order volume regardless of whether the program is improving or degrading.

Use The Per-Email Tag Distribution To Prioritize Rebuilds

Tag distribution tells you which email to fix first. If 40% of preventable tickets come from “where’s my order” questions, the shipping notification is the priority rebuild. If 30% come from “how do I use this,” the how-to email needs work.

Most teams rebuild post-purchase emails based on what they think is broken. The tag distribution shows what’s actually broken, ranked by ticket volume. The rebuild prioritization is operational and self-funding, because each prevented ticket saves CS labor.

Customer service is a downstream symptom of the post-purchase program. The tickets are telling you which email failed.

🧠 Google Marketing Live 2026: Gemini Is Now Running the Entire Ad Stack

Google Marketing Live 2026 had one clear message: Gemini is no longer a feature; it’s the engine behind search, ads, shopping, and measurement. Here’s everything that was announced.

The Breakdown:

Search Ads Are Now Conversational - New Gemini-powered formats for AI Mode include Conversational Discovery ads, Highlighted Answers, AI Shopping ads, and Business Agent for Leads.

Ask Advisor Connects the Entire Ad Stack - One AI assistant across Google Ads, Analytics, and Merchant Center, build campaigns, analyze performance, and get recommendations without switching tools.

Shopping Got a Full AI Overhaul - Universal Cart now supports AI checkout, Klarna and Affirm integrations, and cross-retailer experiences across Search, YouTube, and AI Mode.

Asset Studio Now Generates Creative From Prompts - Gemini Omni powers image, video, and text generation inside Asset Studio, plus 1-Click Creative Testing for faster asset optimization.

Demand Gen Expanded Across More Surfaces - YouTube creator tools, Google Maps inventory, dynamic product videos, and AI-assisted campaign setup all added to Demand Gen.

Measurement Gets Smarter With Meridian and QFCs -Meridian marketing mix modeling is now inside Analytics 360, alongside Qualified Future Conversions, a new Gemini-powered predictive revenue metric.

Merchant Center Gets AI Discovery Tools - AI Performance Insights, Conversational Attributes, and Ask Advisor integration help retailers optimize feeds for conversational shopping across Search and AI Mode.

Gemini now touches every part of the Google marketing stack, from how ads are built to how performance is measured and how products get discovered.

Together with The Shift

Most AI content is fascinating. None of it is useful.

You’ve read the AI breakdowns. Watched the million AI explainers. Nodded along to the hot takes.

And then opened a blank doc and had no idea what to actually do.

The Shift is a newsletter built to help you in moments like this. Every tool covered works in the real world, and every prompt in the 1000+ library solves something you’ll actually hit.

3,000+ vetted tools. 1000+ tested prompts. Daily newsletter.

And right now, 3 subscribers win a free 1-year Claude Pro subscription. One click to enter.

Subscribe to The Shift

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳

In this newsletter, you’ll find:

👀 Why certain brands start occupying space in your head

📌 Snapchat unifies app measurement while Pinterest says start your Christmas campaigns now

👨‍💻 Tweet of the Day

If you’re new to Buyology then a hearty welcome to you, You’ve reached the right place alongside 50k+ amazing people, Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

👀 Why Certain Brands Start Occupying Space In Your Head

A woman films herself frosting the exact same cake every Friday night. Someone else keeps asking strangers in New York absurdly specific questions about their outfits. There is a founder on your feed right now whose entire internet presence appears to consist of opening boxes with a pocket knife while breathing heavily into a microphone.

None of this should work as well as it does.

And yet after a while, your brain begins waiting for these people without formally deciding to. Not because the videos are technically brilliant. The repetition itself starts creating emotional traction.

That is the shift a lot of brands still misunderstand.

Attention online no longer behaves like a billboard economy where every impression starts from zero. Repeated formats accumulate familiarity. Familiarity changes resistance. Once resistance drops enough, the audience stops evaluating each piece of content independently and starts re-entering a world they already recognize.

That is a completely different psychological experience.

1. Predictability became valuable again

For years, creative strategy revolved around surprise. New hooks. New edits. Constant reinvention.

But highly scalable content often behaves more like ritual than novelty.

The audience begins recognizing the emotional architecture before the video fully unfolds. They know roughly how the interaction feels, which lowers processing friction dramatically. That matters because the feed is exhausting now. Familiar structures conserve attention.

A recognizable format also creates stronger memory encoding. Not because one episode was extraordinary, but because the repetition stitched the episodes together into a larger pattern the brain could retrieve later.

2. Audiences attach to behavioral texture, not polish

This is where beautifully produced brand content quietly dies. People remember odd little consistencies:

• the founder who pauses too long before answering

• the employee who always breaks character first

• the creator whose apartment lighting never changes

• the recurring joke that keeps mutating every episode

Those details create psychological permanence because they feel socially real. Human memory stores texture far more aggressively than polished messaging.

After enough exposure, the audience no longer feels like they are consuming branded media. They feel like they are revisiting familiar people.

That distinction has enormous commercial consequences.

3. Episodic content usually collapses operationally before creatively

Keeping recurring creator systems alive gets chaotic fast. Rights management fragments. Approvals pile up. The same creator suddenly becomes unavailable mid-series.

Internal teams lose consistency trying to coordinate production manually across scattered workflows.

Insense helps brands sustain creator-led formats without the operational drag killing momentum underneath them, from sourcing creators and managing briefs to automated payments and lifetime usage rights. You can book a free strategy call by tomorrow and get a $200 platform credit towards your first campaign.

A one-off post can generate reach. A recognizable format can slowly become part of someone’s routine, language, memory, and even identity.

That is a far more durable growth engine than chasing the next viral spike every week.

Together with Pounce

Most AI is wrong 1 in 4 times. Pounce is wrong 1 in 50.

Creative analytics tools that run on off-the-shelf AI mis-tag your ads nearly a quarter of the time. Every bad tag is a false pattern, a misleading insight, a wasted brief. Your whole performance function ends up working off bad data.

Pounce fixes it at the source with real human judgment baked into every label. 98.5% accuracy on the April 2026 Mobile Gaming Video Ads Understanding Benchmark, versus 76.9% for the best frontier model.

And accurate data is just the start. Pounce runs your creative strategy, brief generation, competitor intelligence, and performance optimization autonomously, without adding headcount.

The same intelligence behind Supercell, Wildlife Studios, and DeNA. Now available to any brand that runs ads.

Get started for free with Pounce today.

📌 Snapchat Unifies App Measurement While Pinterest Says Start Your Christmas Campaigns Now

Snapchat launched unified attribution for app marketers. Pinterest is telling brands that Q4 success starts months before November. Both updates are about making ad spend smarter through better data.

The Breakdown:

Snapchat Combines All Metrics in One View - Unified Attribution merges Snap platform metrics with mobile measurement partner data, and SKAdNetwork signals into one dashboard so app marketers can see real cross-channel performance without piecing together separate reports.

It Helps Justify Snap Ad Spend - The combined view connects in-app and external response signals to show actual campaign impact, giving app developers a clearer direction on what’s working among Snapchat’s influential younger audience.

Pinterest Says Start Planning Q4 Now - 31 weeks until Christmas. Users come to Pinterest to plan months ahead, and advertisers running shopping campaigns for six months or more see 33% higher ROAS than those running under three months.

Always-On Campaigns Win on Pinterest - Performance+ catalog campaigns powered by Conversions API deliver 20% lower cost per action. Pinterest recommends 75% of the platform budget going to always-on initiatives because longer runs produce better optimisation data.

Snapchat is making it easier to prove app campaign ROI across channels. Pinterest is making the case that Q4 winners are decided in Q2. Both reward marketers who plan ahead and invest in measurement.

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At Buyology, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. It would be amazing if you could hit us up with feedback about our content or absolutely anything, we are always up for a chat 🥰

Thanks for your support, We'll be back with more such content 🥳