Buyology

The Gap No Creative Audit Catches

Fri, 01 May 2026 11:58:50 GMT

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😶‍🌫️ The Gap No Creative Audit Catches

📊 X and Meta Both Dropped Major Ad Platform Updates This Week

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😶‍🌫️ The Gap No Creative Audit Catches

Every ad account has a mechanism it over-relies on and at least one it has never touched. The over-reliance is invisible because it produced your first winner and nobody questioned it after that.

The blind spot is invisible because you cannot see the absence of a lever you have never pulled. No amount of new creative breaks that ceiling. The ceiling is not a creative problem. It is a psychological coverage problem.

Run the Mechanism Tag Audit

Pull every active asset and assign it one primary mechanism: fluency, emotional transportation, social proof, parasocial proximity, or pattern interruption. One tag per asset, no exceptions. The distribution will be lopsided.

Most accounts run 60% or more of spend through two mechanisms and zero through at least one. That zero is the gap, and the gap is where your next performance ceiling lives.

Mechanism hierarchy matters here. Fluency and social proof are the easiest to produce and the most saturated in any competitive category.

Pattern interruption and parasocial proximity are the hardest to fake, which is why they compound when competitors cannot replicate them. If your zero is in either of those two, that is where you build next.

Test the Gap Against Warm Traffic First

Cold testing a mechanism you have never run tells you almost nothing. Warm traffic tells you whether the mechanism is genuinely absent from your funnel or whether your audience simply does not respond to it.

Build three assets that trigger the missing mechanism and run them against your highest-converting segment.

Set a kill threshold before launch: if CPA exceeds your current blended average by more than 30% at 500 impressions per asset, pull it. If it clears the threshold, the mechanism was starved, not broken.

Most accounts discover the missing mechanism produces their next winner because warm buyers were never served that lever.

Fix Production Before You Fix Spend

Spend allocation follows production capacity. If 80% of your team’s output triggers one mechanism, no media-level rebalancing fixes the gap because the assets do not exist to rebalance toward.

Reassign 20% of creative output to the underrepresented mechanism each quarter. Accept the short CPA hit. That hit is the price of breaking a flat quarter, and it is cheaper than another month of optimizing inside the same psychological footprint.

The next level is not more creative. It is a wider footprint.

📊 X and Meta Both Dropped Major Ad Platform Updates This Week

X rebuilt its entire ad system using xAI’s models, while Meta launched connectors letting brands plug their preferred AI tools directly into Meta ads.

The Breakdown:

X Rebuilt Its Entire Ad System - X launched its biggest ever ad update, built around simplicity, control, and performance. New AI retrieval and ranking systems now understand user behavior more deeply to deliver more precise and relevant ads in real time.

The Bigger Vision Behind It - Musk has said Grok will eventually handle the entire ad creation process, upload an ad, and do nothing else. This update is the first real step toward that.

Meta Lets Brands Use Their Own AI - Meta launched connectors letting brands feed Meta ads data into external tools like Claude or ChatGPT to run queries, generate product catalogs, and manage campaigns using whichever AI they already use.

No Code or Setup Required - Meta’s connectors need no developer credentials or API setup, making them accessible to any agency or brand. The goal is to meet advertisers where they already work rather than pushing Meta AI on everyone.

X is betting better AI targeting revives its struggling ad business. Meta is betting openness wins advertiser loyalty. Both are using AI to make ads easier to run and harder to ignore.

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You’re Preparing Too Late

Thu, 30 Apr 2026 11:58:56 GMT

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👀The Receiving Dock Is Your Real Competitor This Summer

📱 Snapchat, Pinterest, and LinkedIn All Dropped Ad Updates This Week

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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 15 and get a $200 platform credit towards your first campaign.

👀The Receiving Dock Is Your Real Competitor This Summer

Amazon brands above £250k turnover are about to discover that H2 isn’t won in July. It’s lost in May. Prime Day sits nine weeks out, but the decisions that determine whether you scale or stall are being made right now, in the eight-week prep corridor most operators sleepwalk through.

Your competitors aren’t outspending you in peak. They’re outpreparing you in the off-season.

The three moves below aren’t tactics. They’re structural shifts that compound across every dollar you’ll spend between now and Black Friday.

Strategy 1: Treat Your Ad Account Like a Fossil Dig, Not a Dashboard

Wasted spend doesn’t announce itself. It calcifies. Campaigns you built around hero SKUs from six months ago are still bidding against keywords for products you’ve quietly demoted, deprecated, or stopped restocking.

Open every campaign and ask one question: would I build this from scratch today? If the answer is no, archive it. Refresh negatives against the last 90 days of search term data, not the lifetime view.

Re-bid against current contribution margin, not last quarter’s targets. When category CPCs lift 30 to 50% during Prime Day, inefficiency stops being a rounding error and becomes the difference between profitable scale and a panic pause.

Strategy 2: Read the Six-Month CTR Drift Before Peak Reads It For You

Most brands look at CTR and CVR as snapshots. The signal is in the drift. Pull each ASIN’s performance against its own baseline from six months ago. Anything that’s slipped two points or more is leaking, and Prime Day traffic turns slow leaks into hemorrhages.

Main image is your highest-leverage CTR fix because it fights for the click before the listing ever loads. For CVR drops, the cause is rarely the listing itself. It’s a competitor who quietly repriced, added a bundle, or refreshed their A+ while you weren’t looking. Diagnose during normal traffic. You can’t read signal through the noise of peak.

Strategy 3: Book Inbound Against the Worst-Case Calendar

Amazon’s receiving timelines stretch the moment Prime Day is announced. Stockouts during peak don’t just cost the sale. They reset organic rank and hand the slot to the brand directly below you, who keeps it through Q4.

Forecast July and August demand now, then inbound against the slowest-case receiving window, not the average. Your real competitor in June isn’t another seller. It’s the FBA check-in queue.

The brands compounding in 2026 aren’t reacting faster. They’re deciding earlier.

📱 Snapchat, Pinterest, and LinkedIn All Dropped Ad Updates This Week

Three platforms made meaningful ad moves this week, one putting AI in your DMs, one taking ads to your TV, and one opening LinkedIn’s event tools to the whole internet.

The Breakdown:

Snapchat Put AI Chatbots in DMs - Snapchat launched sponsored AI chatbots appearing directly in user inboxes alongside personal messages. Users can talk to branded bots and ask follow-up questions about products.

The Numbers Behind the Bet - Snapchatters sent over 950 billion chats in Q1 2026. Sponsored Snaps already drive 22% more conversions than other formats.

Pinterest Takes Ads to the TV - Pinterest launched CTV placement via tvScientific using its high-intent audience signals, delivering 27% more outcomes per $100 spent and 65% more purchases than standard CTV campaigns.

LinkedIn Opens Event Ads to Everyone - LinkedIn’s Event Ad format now supports webinars and hybrid experiences hosted outside LinkedIn, complete with lead gen objectives and direct links to brand registration pages.

Meta tried branded DM chatbots in 2016 and pulled them after user backlash. With Snapchat’s growth stalling and staff cuts recently announced, this feels as much like a revenue play as a product one. LG saw a 73% jump in unique households reached via Pinterest and CTV, US CTV spend is heading past $45 billion by 2028

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Breaking The Data Lie

Wed, 29 Apr 2026 11:58:01 GMT

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🧐Why Your Influencer Data Is Lying to You, And the Three Fixes That Make It Actionable

📱 Meta Says Life Stage Matters More Than Age for Brand Targeting

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🧐Why Your Influencer Data Is Lying to You, And the Three Fixes That Make It Actionable

Influencer decisions get made on noise disguised as data. Non-posters are misread as an audience misfit. Engagement rates mistaken for conversion signals. Retainer decisions were made on gut because attribution was never built before the first package shipped. The problem isn’t the creators. It’s the measurement infrastructure underneath them.

Fix 1: Clean your non-poster data before reading it as a signal

When 240 out of 300 seeded creators never post, the instinct is to conclude the niche doesn’t resonate. That’s a premature read. A non-post could mean genuine disinterest, a package that never arrived, or content buried in a PR pile.

Send a structured day-14 check-in to every non-poster asking for honest product feedback. Once that filter is applied, track posting rates by niche, follower size, and content category.

The breakdown reveals which audience segments have a real product-audience fit versus which ones looked right on paper. More honest than any focus group because it’s real behavior with real stakes.

Fix 2: Build attribution infrastructure before the first package ships

Seeding product, waiting for posts, then trying to reverse-engineer what drove the traffic spike makes attribution permanently impossible. Include a unique UTM link and discount code in every seeded package from day one.

Creator-level purchase attribution from the first post makes retainer decisions objective: two or more organic posts driving measurable attributed purchases within 60 days. Offer the retainer inside that window, or the creator signs elsewhere. You’re paying for proven ability to move product, not potential reach.

Fix 3: Filter seeded content by saves and shares before briefing paid creative

Handing the highest-view-count posts to a paid creative team is the wrong filter. Saves signal genuine intent to return. Shares signal peer recommendation psychology. The viewer trusted the content enough to attach their name to it. Both correlate far more strongly with paid conversion than views or likes do.

The posts scoring highest on saves and shares are your creative brief for the next 90 days of paid spend, and almost always outperform agency-produced creative when put behind spend because real audiences already validated them with zero paid amplification.

Insense makes the seeding volume that generates this data operationally viable. 80,000+ vetted creators, automated contracts, payments, and lifetime usage rights included. First creator applications within 48 hours. No retainer, no middleman.

You can book a free strategy call by May 15 and get a $200 platform credit towards your first campaign.

Bottom line

Clean your non-poster signal, attribute from day one, filter by saves and shares before touching paid. The data was always there. The right collection infrastructure just wasn’t.

Together with PrettyDamnQuick

Your Checkout Has Issues. It Just Won’t Tell You.

Most checkout tools tell you your CVR. Checkout Index tells you why it’s leaking and exactly where to fix it.

Jones Road Beauty ran their checkout through Checkout Index, expecting nothing. They found one critical issue and two friction points they’d completely missed, including upsells buried so deep in the flow that customers couldn’t act on them.

Checkout Index projected a 3-5% AOV lift from one placement change.

That’s the thing about checkout. The leaks are quiet. Shipping options that overlap so customers won’t upgrade. Upsells invisible on mobile. Progress bars are showing the wrong threshold. None of it trips an alarm. All of it costs you.

Checkout Index benchmarks your store against millions of orders across 500+ brands. Enter your URL, and in 60 seconds, you get a personalized score and projected revenue impact.

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📱 Meta Says Life Stage Matters More Than Age for Brand Targeting

Meta published a generational study this week covering nearly 10,000 people across eight markets, challenging how most brands think about audience targeting on social platforms.

The Breakdown:

Life Stage Beats Age - People going through key moments like graduating or getting married show up to 26% points higher purchase intent regardless of age.

Digital Pebbling Is Rising - 90% of people share photos, videos, or memes to stay connected, and 80% share Reels weekly. Brands should ask one question, is your content worth forwarding?

Expertise Beats Fame - 81% rated expert knowledge as the most important creator attribute, ahead of humor and fame, which came last. Honest reviews outperform paid promotions.

Social Beats Search for Discovery - 85% of Gen Z discover products on social versus 58% via search. AI chatbots within messaging platforms are emerging as the next discovery surface for brands.

Stop thinking in age brackets. Start thinking about life moments. Expertise and honesty outperform reach and fame, the data is clear.

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The 42-Cent Retention Hack

Tue, 28 Apr 2026 11:58:55 GMT

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🎯 The 42-Cent Retention Hack

📊 Google and YouTube Both Dropped Platform Updates This Week

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Your creator program is only as good as the system behind it

If your team is managing UGC in spreadsheets, tracking addresses, chasing creators over DM, and manually logging payments - you’re not running a program. You’re running a headache.

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

One place to receive creator matches from 80,000+ vetted profiles, brief templates, ship product via Shopify, automated contracts and payments, and own full lifetime content usage rights.

Trusted by Quince, Monster Energy, Paysend, and 3,500+ brands worldwide.

Brands using Insense save 40+ hours a month and get first creator applications within 48 hours.

Book a free strategy call by May 15 and get a $200 platform credit towards your first campaign

🎯 The 42-Cent Retention Hack

A haircare brand hits a 90-day repurchase rate of 62%.

Not subscription. Not forced auto-ship. Pure organic repurchase, where customers come back on their own and buy again. The average sits between 15% and 25%, so their number is roughly triple what a healthy brand pulls. The wild part is they aren’t running a fancy loyalty program or a 14-step post-purchase flow. They spend 42 cents per customer to do it.

Here’s the full playbook, plus three more retention plays that work on the same principle: the cheapest touchpoints almost always beat the expensive ones.

Install a usage-correction insert in every first order

The real reason customers don’t reorder isn’t price or competition, it’s that they used the product wrong and decided it didn’t work. A handwritten card with a QR code linking to a 90-second founder video walking through correct usage fixes this at the source. 73% of her first-time buyers scan it.

Film on your phone, host as an unlisted YouTube link so you can swap content later without reprinting, and add the card to your 3PL pick list as a default insert for first orders.

Time your second-purchase nudge to product depletion, not calendar dates

Most post-purchase email flows fire on day 30 or day 45 because that’s the default in Klaviyo. The smarter move is reverse-engineering when the customer actually runs out. If your shampoo lasts 38 days at average usage, your reorder email lands on day 32, not day 30 and not day 45.

This single change tends to lift reorder click rates by 40% to 60% because you’re hitting them in the exact window they’re thinking about it anyway.

Build a “results check-in” at the value-realization moment.

Pick the day your product visibly works (week 4 for skincare, week 2 for supplements, week 6 for haircare) and send a single SMS asking how it’s going. No discount, no pitch.

Customers who reply have just told themselves out loud that the product works, which makes the next purchase nearly automatic. Brands running this see reply rates of 18% to 25% on a channel that usually gets 2%.

Turn your packaging into the reorder mechanism. Print a small QR code on the inside of the box flap that links to a one-tap reorder page with their exact previous order pre-loaded. No login, no cart, no friction. Customers who would have churned because reordering felt like a chore now reorder in 11 seconds.

The 42-cent card works because it solves a real problem at the highest-attention moment you’ll ever get. Every play above follows the same logic, find the cheapest possible touchpoint at the moment of highest intent and remove every reason not to act.

📊 Google and YouTube Both Dropped Platform Updates This Week

Google gave Demand Gen access to retailer data while YouTube quietly changed how push notifications work for inactive subscribers, two updates that affect how brands reach audiences on both platforms.

The Breakdown:

Demand Gen Plugs Into Retailer Catalogs - Commerce Media Suite now supports Demand Gen inventory in Google Ads, giving advertisers access to retailers’ first-party catalog and conversion data to reach high-intent shoppers across YouTube, Discover, and Gmail.

YouTube Ads Can Now Optimize for Views Not Just Clicks - View-through conversion optimization is now available for Demand Gen on YouTube. Advertisers can optimize toward conversions that happen after someone watches an ad rather than clicks, driving faster results in passive environments.

Inactive Subscribers Will Get Fewer Push Alerts - YouTube will stop sending push notifications to subscribers who have not engaged with a channel for around one month, even if they selected all notifications. Updates still appear in the inbox, just no device push alert.

The Bar for Losing Push Notifications Is High - Only subscribers with zero engagement across Shorts, posts, comments, and videos qualify as inactive. Even incidental Shorts views keep someone on the active list. Channels that have not posted for a month are excluded entirely.

Demand Gen already delivers 18% higher new customer conversions versus the paid media average, and retailer data, plus view-through optimization, are designed to push that further. Google Marketing Live will have more Demand Gen announcements. For creators, YouTube’s year-long test showed fewer subscribers turning off notifications entirely when alerts felt relevant.

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Email Marketing That Doesn’t Need Your Attention.

You’re spending more time managing your email tool than it’s spending making you money. That’s the wrong way around.

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Make brand personality stick

Mon, 27 Apr 2026 11:58:22 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

🫣Your Brand Personality Has No Gravity

💰 ChatGPT Is Quietly Building a Serious Advertising Platform

👨‍💻 Tweet of the Day

🫣Your Brand Personality Has No Gravity

A creator-led brand can go slightly off-script and recover instantly. The creator’s actual personality is the correction mechanism. The audience stays because the thread is a person.

A retail brand has no such gravity. The personality lives in a style guide nobody reads, a Slack thread from eight months ago, and the heads of whoever is currently on payroll. When someone leaves, a piece of the brand leaves with them. Nobody notices until the feed looks generic and the team is quietly asking, “does this sound like us?” on every single post.

This is not a talent problem. It is a structural design flaw.

Most teams respond to brand drift by writing better guidelines. More adjectives. A tone section. A values page. A “we never say” list buried on page 11. None of it works at the scale it needs to, because guidelines describe the brand. They do not travel with the work.

Two things actually fix it:

Define the brand by its constraints, not its characteristics. What will it never sound like? What aesthetic will it never borrow from a competitor, no matter how well that competitor is performing? What topics will it never touch, even when every other brand in the space is jumping on them?

An adjective list tells people what to aim for. A constraint list tells people what to kill before it ships. The second list is more useful, more specific, and almost nobody has one. Write the constraint list first.

Move enforcement to the creation layer, not the review layer. Review catches drift after it has already entered the work. Enforcement prevents it from entering at all.

The difference compounds fast: every piece of content that skips review because it is already right is one less correction queued, one less “this doesn’t sound like us” conversation that slowly erodes the team’s shared sense of what the brand actually is.

This is especially urgent now. AI tools have accelerated content production to a speed where drift no longer happens over quarters. It happens across a single afternoon. Every deck, brief, and asset your team prompts without guardrails is a brand liability that ships before anyone can flag it.

Templafy works inside PowerPoint and enforces your brand rules automatically on every AI-generated presentation your team builds, no review cycle required. You can try Templafy here for free

Run the new intern test. Could someone in their first week reject a bad post without asking for permission? If the answer is no, your brand personality has not been operationalized. It has just been documented.

The brands that win in an interest-based algorithm environment will not be the loudest. They will be the most consistent.

Consistency at scale does not come from discipline. It comes from structure.

Build the structure.

Together with Tatari

Meta Didn’t Get Harder. You Just Hit the Ceiling.

You’ve been told TV is out of reach. What nobody mentioned is that the measurement gap closed, the minimums dropped, and the brands hitting their numbers right now didn’t stumble onto some new creative angle.

They opened a different channel entirely.

Tatari is a TV buying platform that lets you run across linear TV, streaming, and direct publisher buys, all from one place.

You see exactly where every ad aired, so nothing is hidden, and nothing is wasted. Every dollar ties back to actual site visits, signups, and purchases, not impressions that look good in a report and prove nothing in your books.

Aroma360 cut CPA by 80% and doubled ROAS from a $14K linear pilot
Knix hit a 70% lower CPA and 9,000 site visits within 5 minutes of a single TV spot airing
Calm cut CAC by 52% and drove 612K incremental installs running linear and streaming together

Over 400 brands already run TV this way. You’re either in that group, or you’re funding their growth with every Meta dollar you spend.

Book a free demo and see what your numbers look like on TV!

💰 ChatGPT Is Quietly Building a Serious Advertising Platform

OpenAI made three significant advertising moves this week, launching a real-time Ads Manager, adding cost-per-click pricing, and expanding ads to logged-out users, signaling a rapid push to turn ChatGPT into a full-scale ad platform.

The Breakdown:

A Real Ads Manager Is Finally Here - OpenAI is testing a proper Ads Manager dashboard, letting advertisers run, monitor, and optimize campaigns in real time. Until now advertisers were relying on weekly CSV files. Brands like Best Buy and Expedia are already appearing in early tests.

ChatGPT Now Has Pay Per Click - OpenAI is testing CPC ads with clicks priced between $3 and $5, letting advertisers pay only when users click. CPMs dropped from $60 to around $25 since launch, and CPC helps offset that decline by tying revenue to measurable outcomes.

Ads Are Now Reaching Logged-Out Users Too - ChatGPT is showing ads to unauthenticated users, quietly expanding available inventory without a formal announcement. Ads are integrated into conversation responses rather than displayed as banners and are described as relatively unobtrusive.

OpenAI is projecting $2.5 billion in ad revenue for 2026. Advertisers struggled to spend due to limited inventory despite the minimum dropping from $200,000 to $50,000; logged-out users fixed that. Proving intent remains the real challenge before serious budget follows.

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An hour a day for Free Traffic

Fri, 24 Apr 2026 11:59:55 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

🤩 One hour a day is all it takes to build free traffic that compounds

📊 Google Dropped Three Useful Ad Updates This Week

👨‍💻 Tweet of the Day

🤩 One hour a day is all it takes to build free traffic that compounds

Not ten hours. Not a full-time SEO hire. One focused hour, structured the right way, is enough to build rankings that grow on their own over time.

Here’s exactly how to spend it.

First 10 minutes: Pick your battle

Don’t open a blank doc and start writing. Spend the first ten minutes deciding what actually deserves your attention today.

Pick one keyword with a clear intent behind it. Run a quick scan on who’s ranking and why. Then make one decision: new page or existing update, and move forward with a clear brief. Ten minutes of sharp planning saves two hours of unfocused execution.

Next 20 minutes: Build something Google wants to rank

Five minutes to map the structure. H1, H2s, key sections, skeleton first, writing second. This alone cuts production time in half.

Ten minutes on the content itself. Lead every section with a direct answer before expanding into detail. Write headers the way someone actually types a query, not the way your internal team describes the product.

Five minutes on signals. Add internal links to and from the page with descriptive anchor text. Drop schema markup on any commercial page you touch. Two steps, five minutes, compounds every week, they sit there.

Next 15 minutes: Build authority one pitch at a time

Find three pages in your niche where a link to your content would genuinely help their readers. Not directories. Not generic roundups. Actual relevant content with a real audience.

Write three personalized pitches. Reference something specific. Make the value exchange obvious. Three targeted pitches per session done consistently builds a backlink profile that bulk outreach never will.

Last 15 minutes: Let the data tell you what’s working

Pull Search Console and Analytics. Look for pages that dropped in the last two weeks and connect the movement to anything you changed. Look for pages sitting positions four to fifteen, those have traction and a realistic path to page one with one focused update.

Layer in AI visibility while you’re here. SEMrush’s AI Visibility Toolkit shows how your content is being retrieved across ChatGPT and Google AI Mode alongside your traditional rankings, one pass covers both scoreboards. You can try it for free for 7 days.

You don’t even need to do this every day

Three sessions a week is enough. One keyword, one hour, done with this structure three times a week compounds into rankings that feel impossible to replicate from the outside.

Start the clock.

Together with Insense

The agency has 11 other clients. You’re not all of them.

You hired the agency for expertise. What you got was a shared Slack channel, a monthly report, and content that takes six weeks to turn around. That’s six weeks of dead test cycles while your competitors are already scaling winners.

Insense is the self-serve platform for brands ready to take this in-house. 80,000+ vetted creators waiting on your brief right now.

First creator applications in 48 hours while the agency is still writing your brief
Lifetime usage rights on every collaboration, locked in automatically
Run UGC, TikTok Spark Ads, Meta whitelisting, and product seeding from one dashboard

Trusted by 3,500+ brands including Quince, Monster Energy, and Paysend. Teams save 40+ hours every month, starting campaign one.

Book a free strategy call before May 8 and get $200 in platform credit toward your first campaign.

📊 Google Dropped Three Useful Ad Updates This Week

From smarter Demand Gen targeting to an experimental app features hub and a faster conversion tracking setup, Google had a productive week across its advertising tools.

The Breakdown:

Demand Gen Gets Commerce Data - Demand Gen is now integrated into Commerce Media Suite, letting advertisers use retailers’ first-party catalog and conversion data to reach high-intent shoppers across YouTube, Discover, and Gmail.

View-Through Conversions Now Optimized - New view-through conversion optimization lets campaigns prioritize conversions that happen after an ad is viewed, not just clicked, capturing high-intent users even in passive discovery environments like YouTube.

App Labs Gives Early Feature Access - Google is testing App Labs, a dedicated hub where app advertisers can try experimental campaign features before wider rollout. Features are short-term tests, but early adopters gain a real performance edge over competitors.

Conversion Tracking Just Got Simpler - Google Ads is testing a direct GTM integration that lets advertisers push conversion setups with one click instead of manually copying IDs and labels between platforms. Fewer steps, fewer errors, faster deployment.

Demand Gen announcements at Google Marketing Live are expected to build on this week’s updates as YouTube continues positioning itself as a full-funnel performance channel. App Labs and the GTM integration are both still in testing, so keep an eye on both.

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Breaking the Meta Ceiling

Thu, 23 Apr 2026 11:58:48 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

👀Breaking the Meta Ceiling

📊 LinkedIn and Google Are Both Betting Bigger on AI for Marketers

👨‍💻 Tweet of the Day

👀Breaking the Meta Ceiling

75% of performance marketers are reporting diminishing returns on social spend. Meta CPMs climbed 18% in 2025. The default response is to test more creative, restructure campaigns, and tighten audiences. That instinct is wrong, and here’s why.

Auction-based platforms have a physics problem. As spend scales, the highest-intent audience converts first. What remains costs exponentially more and converts less.

Marketing Mix Modeling confirms it: there’s a specific inflection point on every channel’s spend curve where efficiency breaks regardless of what the creative looks like. You’re not running bad ads. You’re past the curve.

Suppress before you scale. Before touching creative or budget, audit who’s inside your retargeting pool. Recent purchasers, lapsed visitors who didn’t convert after five or more exposures, and existing subscribers are all burning spend that should hit net-new audiences. Suppressing these cohorts alone frequently drops CPA 15 to 20% without changing a single ad.

Fix what you’re feeding the algorithm. Most teams optimize toward “add to cart” because purchase volume is too low to exit the learning phase. The result is an algorithm that gets better at finding cart abandoners, not buyers.

Server-side tracking via Conversion API recovers signal lost to browser restrictions and gives the platform purchase-level data to learn from, even at lower volumes. This is the single highest-leverage technical fix available to most performance teams right now.

The deeper problem is that Meta and paid search are demand capture channels. They convert people who already know they want something.

They cannot create net-new intent. Every dollar into them competes for a finite pool of existing demand. Growing that pool requires upstream investment in channels that reach people before they’re searching.

Add a demand creation layer and watch capture improve. When Jones Road Beauty added TV through Tatari, Meta efficiency improved within the first month.

Not because Meta changed, but because TV reached net-new audiences who then hit Meta already having encountered the brand. The algorithm received fresh unconditional signals from people with no prior brand interaction, which pushed the saturation ceiling outward.

TV now runs at 20 to 25% of their spend during peak. Tatari measures this cross-channel lift in real time alongside your digital channels. You can schedule a demo here.

The ceiling you keep hitting on Meta isn’t going to move while every dollar you own operates inside the same auction.

Together with Templafy

Your AI is generating content your brand team never approved.

That deck someone sent to a prospect last Tuesday. The proposal that went out with last year’s messaging. The pitch built from a template nobody updated. It happens every day, and marketing is the last to know.

Templafy fixes this at the source, before the wrong content ever gets built. Your brand rules, approved content, and compliance guardrails are built into the AI itself.

Every document your team generates follows them automatically, whether they’re in PowerPoint, Word, or Google Workspace.

Every AI-generated document follows your brand rules from the first slide
No rogue content, outdated messaging, or off-brand assets reaching clients
4M+ users at KPMG, PwC, Adobe, Cisco, and Pandora running on it

BDO saved $1.65M in a year. Adobe teams got back 72% of their time. The output your team generates tomorrow will look exactly the way your brand demands it to.

Try Templafy for free

📊 LinkedIn and Google Are Both Betting Bigger on AI for Marketers

Two platforms made meaningful moves this week: LinkedIn gave professionals a way to compare AI models head-to-head, and Google turned its Ads Advisor into something closer to an autonomous campaign manager.

The Breakdown:

Google’s Ads Advisor Is Getting Autonomous - Google updated Ads Advisor with Real-Time Policy Reviews that catch violations as campaigns are being built. The tool can now proactively scan for fixes and act on issues without waiting to be asked.

From Paperwork to One Click - Ads Advisor monitors accounts around the clock for suspicious activity and handles Google certifications automatically. What used to take weeks of paperwork now resolves in a single click with full change history maintained throughout.

LinkedIn Built an AI Taste Test - Crosscheck is LinkedIn’s new tool for Premium members in the US that pits AI models from OpenAI, Anthropic, Google, and Microsoft against each other anonymously. Submit a prompt, pick the better response without knowing which model produced it.

The Data Flows Both Ways - Every rating and conversation gets shared back with AI developers to improve their models. Leaderboards show which models consistently win across different professional verticals, giving teams a clearer signal when choosing between tools.

Microsoft has billions invested in OpenAI, raising fair questions about how neutral Crosscheck’s leaderboards really are. Separately, 89% of business executives across four countries reported no meaningful productivity gains from AI despite widespread adoption. The tools keep improving. The results are still catching up.

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Your landing page killed the personalization

Wed, 22 Apr 2026 11:58:53 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

🎯 Your Landing Page Is Where Personalization Goes to Die.

📊 Microsoft and Google Both Dropped Major Ad Updates This Week

👨‍💻 Tweet of the Day

🎯 Your Landing Page Is Where Personalization Goes to Die.

Here’s the uncomfortable truth about most conversion strategies. The ad gets obsessed over. The targeting gets refined. The creative gets tested to death. Then everyone lands on the same page, one built to speak to every possible buyer, and the conversion rate reflects exactly that.

Personalization that stops at the click isn’t personalization. It’s a theater.

The mechanism most brands misunderstand.

Visitors don’t read landing pages. They run a single subconscious check: “Is this built for someone like me?” The answer gets formed in seconds from the headline, the opening line, and whether the specific tension they arrived with is reflected back at them immediately.

A page that tries to cover every use case fails that check for everyone. Not because the copy is weak. Because the cognitive filtering it forces onto the visitor is friction, and friction kills conversion before the product ever gets a chance to sell itself.

The data that reframes everything.

AirOps analyzed 16,851 ChatGPT queries across 353,799 pages and found that pages with headlines directly matching the query get cited 41% of the time. Loosely related headlines get cited 29% of the time. A 12-point citation gap driven entirely by the specificity of the match.

Three findings from the research that most marketers would argue with until they see the numbers:

Comprehensive pages underperform targeted ones. Pages covering 26-50% of a query’s sub-topics get cited more frequently than pages covering 100%. Trying to address everything signals genericism, not authority.

Domain authority doesn’t predict citation. Pages that consistently get cited actually carry lower domain authority than pages that never do. Content quality and query match are the variables that matter.

Position compounds specificity. A page at position 1 gets cited 58% of the time. Position 10 drops to 14%. Specificity that earns top ranking creates a compounding citation advantage that broad pages can’t access regardless of how comprehensive they are.

The same principle driving AI citation drives human conversion. Specificity signals that the content was built for this exact person with this exact problem. You can read the full AirOps Fan-Out Report.

What avatar-specific pages actually require.

This isn’t a headline swap. It’s a full page reorder around one person’s specific tension, goal, and objection stack:

Lead with the problem they arrived with, not the product’s full benefit list
Pull testimonials that match their specific, context marathon runners see race performance, shift workers see sleep timing, busy parents see energy sustainability

Write FAQs that address their specific objections, not generic purchase hesitations
Remove any benefit that doesn’t apply to this avatar entirely

Same product. Completely different perceived reality. The second page feels engineered for one specific problem. The first feels like a label.

The conversion insight worth internalizing.

Perceived specialization drives perceived effectiveness. When a visitor sees their exact situation reflected in the page architecture, the product feels built for them even when it wasn’t. That’s not copywriting. That’s planned relevance operating at the structural level.

The brands winning conversion in 2026 aren’t building better generic pages. They’re building fewer pages that each feel like the only page that could possibly exist for one specific person.

That’s the gap. And it’s still wide open.

Together with Insense

You don’t need another agency. You need a better system.

More DTC brands are pulling creator marketing in-house because agency models are too slow, too rigid, and too expensive to test at the speed that paid social demands.

Insense is the self-serve platform built for that transition.

Source from 80,000+ vetted creators, interactive brief templates and approvals in one place, automated contracts and payments, and lifetime usage rights included on every piece of content.

Trusted by over 3500 brands like Quince, Paysend, SmileSet, and Monster Energy,

No retainer. No middleman. Full visibility and control from day one. Brands save 40+ hours a month and get first creator applications within 48 hours.

P.S. If you need occasional assistance with influencer scouting, post-production, or platform management, they offer customizable and hybrid managed services.

Book a free strategy call by May 8 and get a $200 platform credit towards your first campaign.

📊 Microsoft and Google Both Dropped Major Ad Updates This Week

Microsoft launched AI-powered ad tools for the agentic web era while Google upgraded call campaign measurement with AI qualification, both pushing advertisers toward smarter, more automated performance.

The Breakdown:

Microsoft Is Optimizing for AI selection - Microsoft launched AI Max for Search, expanding query matching and personalizing ad delivery across Copilot and Bing. The shift is from optimizing for clicks to being selected by AI systems, making decisions on the user’s behalf.

New Tools to Show Up in AI Conversations - Offer Highlights surface key selling points inside AI conversations. AI Visibility shows which content gets cited in AI answers. A new audience tool lets advertisers describe their ideal customer in plain language and builds targeting segments automatically.

Google is qualifying calls with AI - Google launched AI-qualified call leads, using machine learning to determine whether calls represent real business opportunities. Smart bidding now optimizes for lead quality rather than call length, filtering out spam and robocalls automatically.

Clearer Reporting, Less Wasted Spend - Advertisers get AI-generated call summaries and tags for every interaction. Call recording is on by default, but can be disabled. Healthcare and financial services are excluded. The feature is currently available only in the US and Canada.

Microsoft also launched Universal Commerce Protocol for AI agent transactions and Copilot Checkout for in-conversation purchases. Early data shows AI-driven traffic growing far faster than human traffic; the window to adapt early is now.

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Your Pmax is full of Spam

Tue, 21 Apr 2026 11:58:47 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

⚠️The Reason Your PMax Campaign Is Full of Spam

🤖 Claude Design, ChatGPT Ads, and the Stanford AI Report All Dropped This Week

👨‍💻Tweet of the Day

Together with Tatari

Your CAC problem isn’t in Meta. The fix isn’t either.

Most performance marketers keep optimizing inside the problem. Better creative, tighter audiences, more testing while CAC climbs and reach stalls quietly.

The brands still compounding aren’t finding a Meta fix. They’re getting off the ceiling entirely.

Jones Road Beauty added TV through Tatari. Within the first month:

Meta efficiency improved as net-new audiences hit the algorithm with fresh signals
Branded search climbed as TV drove discovery at the top of the funnel
In-store customers started citing TV as how they first found the brand

TV now runs at 20-25% of Jones Road’s spend during peak. Not a test budget. A core growth channel.

Fabletics saw the same shift. Once TV was in the mix, the point of diminishing returns on Facebook got pushed out. Same spend, more room to scale.

This is the halo effect. Tatari measures it in real time alongside your digital channels, so you can see what TV is unlocking across your whole stack.

Over 400 brands, including Chime, Calm, and Ro, have made TV their growth multiplier.

Every week you wait is a week someone in your category is pulling customers you could have reached first.

Want to see what it does for your channels? Schedule a demo here.

⚠️The Reason Your PMax Campaign Is Full of Spam

Most teams inherit a PMax problem and immediately go looking for a placement issue. They tighten negatives, restrict asset groups, kill Display. Reasonable instincts. Wrong diagnosis.

The real problem is almost always what you told the algorithm to find.

Why PMax amplifies bad signals faster than anything else

Standard Search is constrained by keywords. You control the query environment. PMax has no such guardrails. It runs across Search, Display, Gmail, YouTube, Discover, and Maps simultaneously, hunting for conversion volume across all of them at once. A weak conversion signal doesn’t produce mediocre results.

It produces spam at scale, fast, because the algorithm is exceptionally good at finding the cheapest people willing to complete whatever action you defined as a win.

We inherited an account recently. Eight call bookings in week one. Six were spam. Tracking healthy, negatives tight, audience signals current, asset groups clean. The problem was the objective. We were optimizing for “book a call.” PMax found the cheapest humans willing to click a calendar link. It did its job perfectly.

The signal quality hierarchy Not all conversion events are equal:

Form fill / book a call: High volume, fast learning, weak signal. Captures intent to engage, not intent to buy. Bots, job seekers, and curiosity-clickers all qualify.
Showed up to the call: Filters for genuine interest. Slower learning, meaningfully stronger signal. This was our fix: a custom event firing into Google Ads once the sales rep updates the CRM.
Closed deal / offline revenue import: The strongest signal. Trains the algorithm on actual buyers. Requires clean CRM matching and enough volume to feed the model.

Booking volume dropped after the switch. Every lead that came through attended.

The tradeoff you have to manage

Further-funnel events are stronger but lower volume. PMax needs roughly 30 to 50 conversions per month to learn effectively. If “showed up” or “closed deal” events fall below that threshold, the model starves.

The rule: use the furthest-funnel event that still hits volume. If closed deals give you 40 per month, use that. If they give you eight, use “showed up” and import closed deals as a secondary signal without optimizing toward it.

The question to ask before every PMax build

Is the conversion event you’re optimizing toward something a spam account could complete?

If yes, you’re not running a lead gen campaign. You’re running a spam magnet with a Google Ads invoice.

🤖 Claude Design, ChatGPT Ads, and the Stanford AI Report All Dropped Last Week

Anthropic launched a Figma rival, advertisers shared early ChatGPT ad results, and Stanford published its most comprehensive AI report yet, here is everything worth knowing.

The Breakdown:

Claude Design Is Live - Anthropic launched Claude Design this week, letting anyone build prototypes, decks, and marketing assets just by describing what they need. Your brand system gets integrated from the start and applies automatically to every project.

No Dev Queue Required - Finished pitch decks export directly to PPTX or Canva. Interactive prototypes need no code review. When a design is ready, Claude packages it into a handoff bundle that passes straight to Claude Code with one instruction.

ChatGPT Ads Are Still Very Early - Advertisers report six-figure minimums, high CPMs, and almost no transparency into performance. Sponsored retailers are already surfacing higher in recommendations, raising real questions about whether ads will eventually corrupt the answers ChatGPT is known for.

AI Everywhere, Clock Reading Optional - Stanford found generative AI hit 53% global adoption in three years, faster than PCs and the internet. Global AI investment hit $581 billion in 2025, up 130%, yet the same models still misread analog clocks.

Google’s AI Overviews and AI Mode recommend different URLs for the same query 87% of the time. Two products, one company, not much consensus. Starting April 21, new Google Ads API authentications require a second factor; update your workflows before it affects new credential generation.

Together with The Shift

Stop Reading About AI. Start Getting Results From It.

AI is everywhere, but practical, actionable ways to use it are really hard to find.

The Shift fixes this with focus on a single topic per edition. A real problem AI can solve today.

You’ll see real examples, short workflows, and proven prompts that help you work faster, think better, and automate intelligently under 5 minutes a day.

Once you subscribe, you get access to 3,000+ curated AI tools and 1000+ prompts, so nothing stays theoretical.

If you want AI to work for you in real practical ways, not just ideas, you’ll love The Shift.

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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Your Influencer system is failing

Mon, 20 Apr 2026 11:58:12 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

🥴Why Your Influencer Program Isn’t Scaling (It’s Not the Creators)

🤖 Here Is Why ChatGPT Cites Some Pages and Ignores Others

👨‍💻 Quick Hits

🥴Why Your Influencer Program Isn’t Scaling (It’s Not the Creators)

Brands hit the same wall six months into influencer marketing. The posts are going up. Some content is landing. But the program feels fragile, slow, and impossible to systematize. They blame the creators. The real problem is the infrastructure holding the program together.

Or more accurately, the lack of it.

Run a Dark Horse Seeding Round Before Your Main Campaign

Before you brief your primary creator list, seed five to eight micro creators with zero instructions. No talking points, no brand guidelines, just the product and a note saying you’d love to see what they do with it.

What comes back tells you which angles resonate naturally versus which ones you’ve been forcing. The creative directions that perform in that unscripted round become the brief for every creator after it.

Most brands write briefs based on what they want to say. This flips it. You’re letting the channel tell you what lands before you spend real budget finding out the hard way.

Map Your Creator Roster Against Your Paid Social Funnel

Your influencer content shouldn’t live in a separate channel. Every piece of creator content should have a predetermined role in your paid funnel before the creator is even briefed.

The top of the funnel gets the broad identity-driven storytellers. Mid-funnel gets the niche experts whose audiences are already problem-aware.

Retargeting gets the testimonial-style creators whose content feels like a peer recommendation rather than a post. When you brief with the funnel stage in mind, you stop producing content that has nowhere to go after it goes live.

Build a Creator Bench, Not a Creator List

Most brands treat influencer rosters like a fixed cast. Same creators, same cadence, same creative fatigue setting in around month three. The brands scaling past that build a bench.

Thirty to forty creators in various stages of relationship: some actively posting, some in a seeding phase, some dormant but warmed up and ready to activate when a new product drops or a campaign needs volume fast. The bench model means you’re never starting from zero. You’re always one brief away from output.

This is where infrastructure becomes the actual competitive advantage. Managing a bench of 30-plus creators across briefs, approvals, contracts, and payments manually is where programs collapse.

Insense removes that ceiling entirely. With 80,000+ vetted creators ready to brief, automated contracts and payments, lifetime usage rights on every collab, and first applications landing within 48 hours, you can run a bench program without adding headcount. You can book a free strategy call by May 8 and get a $200 platform credit toward your first campaign.

Let Losing Ads Pick Your Next Creators

Pull your bottom-performing paid social creatives from the last 90 days and find the pattern. Not in the creative itself, but in the audience segment where it underperformed.

That underperforming segment is a targeting gap, and a creator who speaks natively to that segment is worth more to you right now than another creator in a vertical that’s already working.

Most brands double down on what’s converting. The smarter play is using your paid data to find the pockets your current creator mix isn’t reaching.

The brands that scale influencer programs past six figures a month aren’t finding better creators. They’re building better systems around the ones they already have.

Together with AirOps

ChatGPT doesn’t cite simple content. It never did.

Most marketers are writing for readability. Shorter sentences, simpler words, easier skimming. ChatGPT is penalizing them for it.

AirOps studied 16,851 queries and 353,799 pages across 10 industries and tracked 20 signals to find out exactly what gets a page cited versus ignored.

Here’s what the data found:

Pages ranked in position 1 get cited 4x more than position 10. If you’re not on page one, you’re essentially invisible to AI.
Comprehensive guides are getting outperformed by focused 800-word pages. Everything you built for SEO may be working against you.
Pages aged 30-90 days hit the highest citation rate. Your older content is bleeding visibility silently.

The report breaks down all 20 signals with controlled comparisons across each. No theory. Just data on what ChatGPT actually responds to.

Read the full report

🤖 Here Is Why ChatGPT Cites Some Pages and Ignores Others

Ahrefs analyzed 1.4 million ChatGPT prompts to figure out what actually drives citation decisions, and the findings change how you should think about AI visibility.

The Breakdown:

Search Index Wins - ChatGPT only cites about 50% of the pages it retrieves. The search ref_type dominates with an 88.46% citation rate, accounting for 88% of all cited URLs. YouTube sits at 0.51% and academia at 0.40%.

Reddit Gets Ghosted - ChatGPT pulls over 16 million Reddit data points, but cites it at just 1.93%. It uses Reddit to understand topics and build context, then credits a different source entirely. 67.8% of all non-cited URLs are from Reddit.

Title Decides Before Content - Before opening any page, ChatGPT uses the title, snippet, and URL as a gatekeeping layer. Pages that clear this filter get read. Pages that do not get discarded before their content is ever seen.

Fanout Queries Decide Everything - ChatGPT generates internal sub-questions from every prompt. Cited pages scored 0.656 cosine similarity against these queries versus 0.484 for non-cited pages. Pages whose titles match what ChatGPT is asking behind the scenes get cited.

Rank in search, write titles that answer ChatGPT’s internal sub-questions, and keep URLs clean, natural language slugs had an 89.78% citation rate versus 81.11% for opaque ones. The median cited page is 500 days old, but for news queries, freshness becomes the tiebreaker, with cited news pages averaging around 200 days old. Relevance still wins.

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Your site is busy doing nothing

Fri, 17 Apr 2026 11:58:50 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

🚩Your GSC is flagging pages that don’t exist. Your content has no idea who it’s for.

📊 Meta Just Made Its Two Most Important Ad Tools Easier to Use

👨‍💻 Tweet of the Day

🚩Your GSC is flagging pages that don’t exist. Your content has no idea who it’s for.

Two problems show up together on almost every site audit. Coverage errors sitting unresolved for months. Pages ranking for traffic that will never convert because there’s no clear buyer intent behind them.

Separately they’re damaging. Together they’re quietly dismantling your entire SEO foundation while the publishing calendar keeps moving.

Here’s how to fix both.

Resolve coverage errors before they compound

A coverage error in Google Search Console means Google tried to index a page and couldn’t. Every day it sits unresolved, that page loses ground, and if it’s a revenue page, that’s direct ranking equity bleeding out while nothing gets done about it.

Three steps to clear the backlog cleanly:

First, triage by page type. Coverage errors on revenue pages get fixed immediately. Errors on informational content get scheduled. Errors on pages with no clear purpose get evaluated for consolidation or removal before fixing anything.

Second, identify the error category before touching anything. Not found errors, redirect errors, and crawl anomalies each have different root causes and different fixes. Applying the wrong solution wastes time and can introduce new errors on pages that were previously clean.

Third, set a 30-day resolution rule going forward. Any coverage error unresolved beyond 30 days gets escalated regardless of page type. The longer an error sits, the harder Google is to convince once it’s fixed.

Cut pages with no connection to buyer intent

Traffic without intent is a vanity metric with server costs attached. A page pulling 3,000 monthly visitors who read and leave contributes nothing to revenue and dilutes the topical focus of your entire domain.

Audit your index for intent alignment using three filters:

Zero conversion pages with high traffic: These are attracting the wrong audience. Either restructure the content toward a commercial angle or consolidate it into a page that already converts.
Informational pages targeting keywords with no commercial modifier: If someone searching this query has no realistic path to becoming a customer, the page shouldn’t exist in its current form.
Pages with no internal links to commercial content: If a page has no pathway to a revenue page, it’s operating as a dead end. Add contextual internal links or evaluate whether the page belongs in your index at all.

Where AI visibility connects both problems

Coverage errors and low-intent pages share a common consequence beyond traditional search, they both reduce your retrievability in AI-generated answers. AI systems pull from content that signals trust, structure, and clear topical relevance. A site with unresolved errors and intent-mismatched pages sends the opposite signal.

SEMrush’s AI Visibility Toolkit surfaces exactly where these gaps are affecting your AI presence, tracking your visibility score across ChatGPT and Google AI Mode, identifying prompts where competitors appear and you don’t, and flagging site issues specifically impacting AI retrievability. You can try it for free for 7 days.

One audit, two cleanups

Pull your GSC coverage report and your top 50 organic landing pages in the same sitting. Flag every unresolved error older than 30 days. Flag every high-traffic page with zero conversion path.

Fix the errors. Cut or restructure the intent mismatches. Your index gets leaner, your AI retrievability improves, and every page left standing is doing actual work.

Together with Insense

Your Audience Has Seen Your Best Ad 47 Times.

Your January ads carried you through Q1. They won’t carry you through Q2. Audiences have seen them, CPCs are climbing, and what felt like a creative win three months ago is actively hurting you now.

Every day you run the same creative, you’re training your audience to scroll past you.

Over 3,500 brands and agencies trust Insense to fix exactly that. Get matched with high-fit UGC creators from an 80,000+ vetted pool across 30+ industries in under 48 hours, with full lifetime usage rights on every asset.

No cold outreach. No back-and-forth. Creators who match your brief apply to you.

Here’s what that looks like in practice:

Revolut: 350+ UGC assets across 140+ creators in 10+ countries.
goPure: 150+ videos at zero cost through product seeding.
Maty’s: 12x higher reach via TikTok Spark Ads at $0.60 CPC.

The brands that book this week will have fresh creative running before May.

Book a free strategy call by April 24 and get a $200 platform credit towards your first campaign.

📊 Meta Just Made Its Two Most Important Ad Tools Easier to Use

Meta announced updates to its Pixel and Conversions API this week, using AI to automate the technical setup that has historically kept smaller businesses from getting the most out of their ad campaigns.

The Breakdown:

AI Now Handles Pixel Setup - Meta’s new AI-powered Pixel automatically pulls in product names, availability, and business details without manual coding, giving smaller businesses the same data advantages that larger teams with dedicated technical resources have always had.

Conversions API Goes One-Click - Meta simplified its Conversions API into a one-click setup requiring no technical expertise, no costs, and no ongoing maintenance. Businesses can now get the full server-side data pipeline running in minutes.

The Performance Gap Is Real - Businesses using both Meta Pixel and Conversions API together saw an average 17.8% lower cost per result compared to those running without Conversions API. That gap is now accessible to everyone.

For SMBs running Meta ads without a full technical team, these two updates remove the biggest friction points between basic ad setup and actually competitive targeting. The 17.8% cost per result improvement is the number worth paying attention to.

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Add more doors to the funnel

Thu, 16 Apr 2026 11:58:43 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

💸 Your Funnel Has One Moment to Convert. That’s Why It’s Hitting a Ceiling.

📲 TikTok, Threads, and Reddit All Dropped Platform Updates This Week

👨‍💻 Tweet of the Day

💸 Your Funnel Has One Moment to Convert. That’s Why It’s Hitting a Ceiling.

High-intent buyers are a finite pool. Algorithms find them first because they’re cheap and easy. Early campaign performance looks clean precisely because the platform is skimming the most convertible segment at the top of the market.

Then that pocket empties. The algorithm starts reaching people in evaluation mode, curious, comparing, not ready to commit. The offer doesn’t change. The conversion trigger stays fixed at checkout. Everyone who isn’t ready bounces because there was nowhere else for them to land.

You don’t run out of audience. You run out of offers.

The structural fix most brands never build.

A single conversion moment caps the addressable market by design. The fix is building economic touchpoints that work earlier in the decision cycle before the main offer enters the picture:

Entry-point products. A low-ticket intro offer gives evaluation-stage buyers somewhere to commit without the full purchase risk. The buyer who spends $15 first arrives at the $90 offer already invested.
Bundled upgrades. Giving buyers a reason to increase order value at checkout extracts more revenue from the same acquisition cost before scaling spend.
Subscription tiers. Recurring commitment changes the acquisition math entirely, LTV expands, CAC becomes more defensible, and the algorithm gets stronger purchase signals to optimize from.
Content-gated tools. Calculators, quizzes, and diagnostic tools create value exchange before purchase, warming evaluation-stage buyers into the funnel without requiring a transaction first.

When mid-funnel touchpoints exist, three things shift: acquisition costs get offset earlier, the algorithm receives cleaner signals from buyers who actually follow through, and buyers arrive at the main offer already committed.

Where creator content changes the conversion math.

Cold audiences carry a trust deficit that no ad creative can fully resolve. The brands closing that gap upstream use creator content as mid-funnel infrastructure rather than vanity distribution.

When a potential buyer encounters the product through a creator they already trust, conviction builds before the first ad impression. By the time retargeting hits, the credibility gap is already narrowed.

Insense is built for brands that have validated this and need to run it at volume. Source from 80,000 vetted creators, run parallel campaigns, automate contracts and payments through Shopify, and receive content within 14 days with full lifetime usage rights. Trusted by Monster Energy, Quince, and 3,500 brands.

You can book a free strategy call by April 24 and get a $200 platform credit toward the first campaign.

What the economics look like when this is built correctly.

The addressable market expands because the funnel no longer filters exclusively for people ready to buy today. Audiences that were previously too expensive become viable growth layers as mid-funnel economics offset acquisition costs.

CPA stabilizes. Spend scales without the blowout.

The ceiling was never the audience size. It was the number of ways the brand gave people to say yes.

Together with AirOps

ChatGPT judges a page by its cover.

Pages with headlines that directly answer the query get cited 41% of the time. Loosely related headlines? 29%.

AirOps studied 16,851 ChatGPT queries and 353,799 pages across 10 industries to find what separates cited pages from ignored ones. A few findings that stood out to me:

Retrieval rank is the top signal: A page at position 1 has a 58% chance of being cited. By position 10, that drops to 14%.
Comprehensive guides don’t always win: Pages covering 26-50% of ChatGPT’s sub-queries get cited more often than pages covering 100%.
Domain authority doesn’t predict citation: Always-cited pages actually have lower DA than never-cited ones. Content quality is what counts.

The full report covers 20+ signals with controlled comparisons across each.

Read the Fan-Out Report →

📲 TikTok, Threads, and Reddit All Dropped Platform Updates This Week

Three platforms rolled out new tools for creators, developers, and advertisers this week, here is what changed and what it means for brands already active on these platforms.

The Breakdown:

Reddit Reminder Ads Are Now Live Globally - Reddit’s Reminder Ads are now available to all advertisers worldwide. Users tap Remind Me, get push notifications 24 hours before and at launch, with intent tracked directly. Up to 36% of US Reddit users are not on Instagram.

Threads API Gets a Major Overhaul - Threads added ghost posts that auto-archive after 24 hours, spoiler tags, GIF support, and long-form text up to 10,000 characters. The follower threshold for profile discovery also dropped from 1,000 to 100.

TikTok’s Creative Studio Gets a Video Upgrade - TikTok’s Symphony Creative Studio now runs on Seedance 2.0, ByteDance’s latest AI video model. Visuals stay more consistent, motion is smoother, and fewer revision cycles mean lower production costs at scale.

Reddit’s audience reach is the most compelling number here, net new users that most campaigns never touch. Threads API updates are worth exploring if your team manages content at scale. TikTok’s video upgrade means production costs on Symphony just got lower.

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Ads are not to convince people

Wed, 15 Apr 2026 11:58:40 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

🤡Ads are not to convince people

🔍 Google Had Three Updates Worth Knowing This Week

🚀Tweet of the Day

🤡Ads are not to convince people

Here’s the assumption every performance marketer runs on: ads convince people to buy.

Wrong.

Buyers don’t get convinced. They get exhausted. They sit alone at midnight, tab open, arguing with themselves and eventually they stop fighting. The purchase happens not because your ad won. It happened because their resistance ran out.

The brands scaling right now aren’t the ones with the best arguments. They’re the ones whose ads left a residue that survived the silence.

Mine your worst reviews, not your best.

Your 5-star reviews speak to buyers already going to convert. Your 3 and 4-star reviews, left by people who almost didn’t buy, who tried it expecting to be let down, those are your actual sales team.

Find the review that sounds like the internal monologue of your coldest prospect. That is your hook, your headline, and the one thing your ad needs to say.

Sort those reviews by the objection they contain, not the rating. Price objection buyers need math. Trust objection buyers need someone who looked foolish for doubting and wasn’t. Effort objection buyers need “it was easier than I expected.”

Each objection is a different ad aimed at a different buyer at a different stage of their private argument.

Match the objection to the audience signal.

Cart abandoners get price-objection creative. Cold audiences who bounced from your product page get trust-objection creative.

Lapsed customers get effort-objection creative. You’re not running ads. You’re running targeted conversations with buyers already mid-argument with themselves.

Stop writing ads that push. Start writing ads that pre-load.

The buyer’s moment of maximum doubt happens in private. No algorithm reaches it. But the ad they saw three days ago either left something behind or it didn’t.

The ones that leave something behind plant a felt memory of someone who had the same doubt and moved anyway. That memory is what closes the sale at midnight. Build for that moment, not the click.

Kill the creative that convinces. Test the creative that outlasts.

Stop asking which ad argued better. Start asking: which ad left the buyer’s resistance lower three days after seeing it? Measure post-view conversion windows, not click-through.

The ad that wins the click often loses the sale. The ad that loses the click sometimes closes it four days later in a private tab at midnight.

Never lead with the product. Lead with the doubt.

The best ad you will ever run feels like the buyer finally hearing their own hesitation spoken out loud by someone who had it, kept going, and didn’t regret it.

That’s not persuasion. That’s permission. And permission is what actually converts.

Together with Templafy

Your team is prompting AI decks. Your brand has no idea.

Every presentation your team generates without guardrails is a brand liability waiting to happen.

Templafy works inside PowerPoint. You set the brand rules, approved assets, and content guardrails once. Every AI-generated deck your team builds after that follows them automatically.

Brand rules are enforced on every AI-generated deck
Client-ready presentations that are on-message by default
4M+ users at Adobe, KPMG, and Pandora are already running on it

BDO saved $1.65M in a year. Adobe teams got back 72% of their time. Your brand shows up right, every time, without you having to police it.

Try Templafy for free

🔍 Google Had Three Updates Worth Knowing This Week

From a consent overhaul to reviving a familiar tool and clearing up a page size myth, Google dropped several updates that directly affect how marketers track, report, and optimize.

The Breakdown:

Google Ads Consent Is Getting Simpler and Stricter - From June 15th, Google Ads will rely solely on the ad_storage consent signal, removing its dependency on Google Analytics configurations. Grant consent and all ad signals flow. Deny it and Google falls back to URL parameters only.

Data Studio Is Back - Google is reviving Data Studio three years after rebranding it as Looker Studio. The free version covers quick analysis for individuals and small teams. Data Studio Pro adds security, compliance, and AI capabilities for larger organizations.

Googlebot File Size Limits Are Per File Not Per Page - Google’s 2MB Search limit and 15MB general limit apply to individual files, not the entire page. Most sites will never come close to hitting them, this affects less than 0.1% of pages.

Heavy Pages Hurt Real Users - Average mobile homepages have grown from 845KB in 2015 to 2.3MB today. Users do not care about file breakdowns, they care about load speed, and heavy pages directly cost you conversions.

The June consent deadline is the most time-sensitive update here. Data Studio is worth exploring if your team relies on analysts for basic reporting. Heavy mobile pages are a performance conversation worth having now.

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Stop making everything a CRO Problem

Tue, 14 Apr 2026 11:58:41 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

🫠You have a conversion problem but calling it a CRO problem.

📱 Facebook, Instagram, and Meta All Had Updates Worth Knowing This Week

🚀Tweet of the Day

Together with Insense

You know UGC works for you. Now build the machine.

You know creator content works for your brand. The challenge now isn’t whether to do it; it’s how to do it at volume without the process falling apart.

Insense is the self-serve platform for DTC brands that have outgrown manual UGC.

Source from 80,000+ vetted creators, run multiple campaigns in parallel, automate contracts and payments via Shopify integration, and receive content in 14 days, with full lifetime usage rights included.

Trusted by SmileSet, Paysend, Bending Spoons, Quince, Monster Energy, and 3,500+ brands using Insense to turn what works into a repeatable production system.

Book a free strategy call by April 24 and get a $200 platform credit towards your first campaign.

🫠You have a conversion problem but calling it a CRO problem.

They’re not the same thing.

A CRO problem lives on the product page. A conversion problem can start three touchpoints earlier, in the ad, before the click, before the customer has seen a single word of your carefully optimized copy.

Here’s what’s actually happening. When your ad leads with a sale price and no reference point, the customer’s brain files that number as normal. Not discounted. Normal.

By the time they reach your product page, your strikethrough pricing isn’t creating value perception, it’s arguing with an anchor your own creative already set. The product page never had a chance.

This is why smart CRO changes produce disappointing lifts. You’re optimizing downstream of the real problem.

Three Strategies That Fix Anchoring Before the Click

1. Sequence the price reveal, original price first, discount second. Leading with the discount sets the sale price as the customer’s mental reference point before they’ve formed any value perception.

Show the full price first, demonstrate the product at that price, then reveal the saving. The discount lands harder because the anchor is correct before the reveal, and your product page strikethrough confirms what the ad set up instead of fighting it.

2. Replace percentage discounts with absolute dollar savings. “20% off” requires mental arithmetic most people don’t complete in two seconds of feed scrolling. “$40 off” requires none, it anchors to a concrete number that registers as a loss avoided rather than a ratio to calculate.

Dollar-denominated savings activate loss aversion and anchoring simultaneously. Percentages activate neither reliably for cold audiences.

3. Separate the anchor from the offer across two sequential exposures. Ad one: full price, pure value demonstration, no promotional framing. Ad two, 24 to 48 hours later: the discount against the full price anchor the first ad built.

Perceived value has to be established before perceived savings can land, collapsing both into a single discount-first creative skips that step, and rising CAC is the consistent result.

The Uncomfortable Truth About On-Site Testing

Every test you run on the product page operates downstream of whatever the ad already decided. Fix the anchor first. Then test everything else.

📱 Facebook, Instagram, and Meta All Had Updates Worth Knowing This Week

From engagement tactics on Facebook to comment editing on Instagram and Meta’s push into proprietary AI, here is everything that dropped across the family of apps this week.

The Breakdown:

Replying to Comments Pays Off - A Buffer study of over one million Facebook posts found that replying to comments delivers a 9.5% lift in reactions. Small number, big implication, the algorithm rewards engagement patterns, and the lift compounds over time.

Instagram Now Lets You Edit Comments - Users can now edit any comment within 15 minutes of posting, with no limit on revisions inside that window. Text-only edits, and other users will see the comment was changed, but not what it said before.

Stories Might Become a Discovery Surface - Instagram is testing a dedicated Stories tab with discovery carousels, highlights, and expiring content. Still not live yet, but if it rolls out it could make Stories a meaningful visibility surface beyond just close connections.

Muse Spark Is Meta’s Bet Beyond Ads - Meta launched Muse Spark, its first major AI model in over a year, and unlike Llama, it is proprietary. The company is pointing it squarely at better ad targeting and creative tools across Facebook, Instagram, and WhatsApp, with paid API access also on the table.

Replying to comments, editing them within 15 minutes, and a potential new Stories discovery tab, Facebook and Instagram are quietly building better tools for creators and community managers. Meanwhile, Meta is betting Muse Spark can open new revenue streams beyond the ads business it has always depended on.

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You’re Optimizing the Wrong Signal

Mon, 13 Apr 2026 11:58:39 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

📺 Completion Rate Is CTV’s Biggest Lie

💰 OpenAI Just Launched an Ads Manager and It Has Very Big Plans

🚀Tweet of the Day

📺 Completion Rate Is CTV’s Biggest Lie

Every campaign report shows it. Clean. High. Consistent.

Your CTV completion rate looks great. Your revenue attribution doesn’t know why.

That’s the problem. Completion rate became CTV’s default success signal the same way open rates defined email, not because it’s meaningful, but because it’s measurable. It tells you the ad has finished playing.

It says nothing about what came after. And when a meaningful share of open market inventory lacks basic program-level data, that number becomes even less reliable as a performance indicator.

Why Completion Rate Fails as a Primary Signal

An ad completing inside a premium newscast and an ad auto-playing on an unattended screen at 2am register identically in most dashboards. Same metric. Completely different reality.

Without program-level visibility, you can’t distinguish between the two. You end up optimizing toward the appearance of performance rather than actual business outcomes. Budgets shift toward inventory that completes well, not inventory that converts. That’s a structural problem, and completion rate alone won’t surface it.

Three Strategies to Measure What Actually Matters

1. Rebuild your success hierarchy. Completion rate stays on the dashboard, but it gets demoted. Lead with downstream signals: site visits, product page activity, purchase rate, return behavior. These tell you whether the impression created intent, not just whether the file played through.

2. Pressure-test environments, not just delivery. Start separating performance by content context, not app name or deal ID, but actual environment type. Premium local news, for instance, carries significantly stronger signal density and verified viewing behavior than generic open market supply.

If your reporting can’t make that distinction, your optimization can’t either. Identify which environments are generating downstream activity and concentrate spend there deliberately.

3. Map exposure to outcome at the placement level. This is where platforms like Tatari change the equation. Instead of reporting on delivery, Tatari connects TV ad exposure directly to consumer behavior, giving performance marketers the same outcome accountability on CTV that they expect from Meta or Google. When you can see which placements drove action, budget allocation stops being a gut call. You can schedule your free demo today and scale beyond digital!

That Separates Scaling Brands

Completion rate will always be part of the picture. But it can’t answer the only question that matters at budget review: is this working?

Brands scaling on CTV right now aren’t chasing high completion numbers. They’re building measurement frameworks that connect the impression to the outcome, and using that data to make the next buy smarter than the last one.

That’s the standard digital channels have always been held to. CTV needs to catch up.

Together with Omnisend

150,000 brands can’t be wrong about email marketing

Your email tool should be making money. Right now, it’s probably just making work.

Omnisend changes that. Campaigns that actually pay off, a platform so intuitive it feels like you built it, and a real support team on call around the clock - brands average $79 back for every $1 spent on Omnisend.

Here’s what that looks like in practice:

Dukier grew revenue 525%, with 55% of it coming from automations they set once
Kate Backdrop hit a 1:300 ROI across omnichannel campaigns
Vagari Bags pulled a 1:121 ROI from SMS alone

Over 150,000 brands already trust Omnisend - and 69% of their revenue runs on autopilot through automations they set once, with 17.3% higher CTRs to show for it.

You’re up and running in 30 minutes. Fully migrated in 5 days.

Try Omnisend for free

💰 OpenAI Just Launched an Ads Manager and It Has Very Big Plans

OpenAI quietly launched a self-serve ads manager this week, projects $100 billion in ad revenue by 2030, and has conversion tracking already coded into its infrastructure, here is everything that is happening.

The Breakdown:

1. Self-Serve Is Now Live - Advertisers can monitor impressions and clicks in real time without going through OpenAI or an agency. The minimum spend dropped from $250,000 to $50,000, with advertisers only paying for inventory actually bought.

2. The Revenue Projections Are Enormous - The ad pilot hit $100M in annualized revenue in under two months. OpenAI projects $2.5B in ad revenue this year, scaling to $11B in 2027 and $100B by 2030, numbers being pitched directly to IPO investors.

3. ChatGPT Ads Behave Like Search - OpenAI is pricing its $60 CPM on the basis that ChatGPT users are in an active decision-making mindset, closer to high-intent search than passive social browsing. Ad tech partnerships with Criteo and Smartly are already in place.

4. Conversion Tracking Is Coming - Code inside the ads manager already points to click and conversion-based campaigns beyond the current impression-only setup. App installs and commerce order tracking appear to be in the pipeline, positioning ChatGPT as a Google and Meta rival.

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Hook worked but everything else failed

Fri, 10 Apr 2026 11:59:05 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

👎 You Spent 45 Minutes on the Hook. The Middle Killed the Post in 10 Seconds.

📱 Snapchat, Instagram, and Pinterest All Made Moves on Engagement This Week

🚀Quick Hits

Together with Tatari

The Brands Winning Right Now Didn’t Crack Meta. They Moved Past It.

You’ve seen the case studies. You know TV works for the big guys. What nobody told you is the barrier to entry dropped, the measurement got real, and the brands hitting their CAC targets right now aren’t enterprise, they’re DTC brands your size.

Tatari is a TV buying platform that lets you run across linear TV, streaming, and direct publisher buys, all from one place.

You see exactly where every ad aired, so nothing is hidden, and nothing is wasted. And every dollar ties back to actual site visits, signups, and revenue not impressions that look good and prove nothing.

Aroma360 cut CPA by 80% and doubled ROAS from a $14K linear pilot
Fiverr retargeted Super Bowl viewers on streaming and slashed CAC by 75%
Saatva saw a 40% lift in branded search from their very first Tatari test

Over 400 brands already run TV this way. The ones who waited are still running the same Meta playbook, wondering why CAC keeps climbing.

Book a free demo and get a launch-ready TV plan built around your numbers.

👎 You Spent 45 Minutes on the Hook. The Middle Killed the Post in 10 Seconds.

Here’s the quiet performance killer nobody in the content room is diagnosing correctly.

The hook gets workshopped. Tested against three variations. Rewritten four times until it’s sharp enough to stop a scroll. Then the body gets written in one sitting, treated like a hallway between the opener and the CTA, something to get through, not somewhere to actually take people.

That hallway is where the post dies. Not dramatically. Just quietly, somewhere around paragraph three, when the reader realises nothing after that brilliant opener had a reason to exist.

Why does the middle keep failing?

The body isn’t filler. It’s where the trust transaction either completes or collapses. A hook creates a debt, an implicit promise that what follows is worth the attention it just demanded. The middle is where that debt gets paid or defaulted on.

Strong body copy does three things simultaneously:

Inherits the tension from the hook and keeps pulling it forward rather than releasing it too early
Moves, each point creates a small question, the next one answers, never letting the reader feel like they’ve arrived somewhere final
Makes the CTA feel like a conclusion the content was always building toward, rather than an interruption that showed up uninvited

Five things worth doing differently.

Write the middle first. When thinking is sharpest, write the body. Then write a hook specifically for that body. The result is an opener that makes the specific content underneath it unavoidable rather than a generic hook attached to generic content.

Give every paragraph one job. Introduce tension, build it, or release it. If a paragraph isn’t doing one of those three things explicitly, it’s decoration. Cut it or reassign it before publishing.

Run the “so what” test on every point. After each point, ask, ‘What does this mean for the reader right now?’ If the answer takes more than one sentence, the point isn’t ready. This single question kills the vague insight problem that makes educational content forgettable.

Manufacture micro-tension deliberately. The best body copy doesn’t resolve everything at once. It opens a small loop, closes it, and opens another. Readers don’t exit mid-paragraph when they’re waiting for a resolution. This isn’t manipulation; it’s how narrative works at the sentence level.

Match the body’s energy to the hook’s promise. A provocative hook followed by a cautious, caveat-heavy body makes readers feel misled even when nothing was technically false. A data-led hook followed by vibe-driven reasoning produces the same effect. Mismatch between hook energy and body energy is a trust violation the reader feels before they can name it.

The edit that reveals everything.

After finishing the next draft, ignore the hook entirely on the first reread. Start from the second paragraph. Ask three questions: does each point move the reader somewhere new, can any section be skipped without losing the thread, and does the CTA feel earned by everything that came before it?

A yes to the second question anywhere is the edit. The hook was never the problem.

The middle just never did its job.

📱 Snapchat, Instagram, and Pinterest All Made Moves on Engagement This Week

Three platforms dropped updates around how users connect, consume, and interact. each pointing to a different theory of what keeps people coming back.

The Breakdown:

1. Instagram Is Expanding Notes to All Followers – Instagram is testing Notes visibility beyond mutual follows, opening them up to your full follower list. Think tiny Post-it speech bubbles in the inbox; more reach could make them a lightweight broadcast tool, or they just get ignored harder.

2. Reposting to Stories Does Nothing - Adam Mosseri confirmed that resharing a feed post to Stories does not boost reach. Feed already outperforms Stories, so reposting changes nothing. Pattern-match what already works and lean into it harder instead.

3. Snapchat’s March Madness Chat Went Massive – The March Madness Topic Chat drew 45,000 Snapchatters, with 40,000 active simultaneously at peak and over 90,000 messages sent. Fans gathered in one shared space instead of scattering reactions across feeds and comment sections.

4. Pinterest Avoids Repetitive Feeds on Purpose - Pinterest’s recommendation engine deliberately avoids showing too much of the same content. Show people one interest on repeat, and the feed goes stale, so diversification is an intentional engineering decision, not a side effect.

Snapchat’s Topic Chat data is the most interesting signal here. Real-time, moderated group conversation around live events is clearly something users want, and if it sticks, it changes how brands think about placement on the platform.

Together with The Shift

The AI Newsletter Built For People Who Actually Use AI

Many AI newsletters are interesting. Very few are useful.

The Shift is built for execution, not curiosity.

Every edition shows you exactly how you can use AI right now to save hours, reduce costs, or replace entire workflows. No theory, no tool dumps, no trend watching.

You get practical breakdowns, daily copy-paste prompts, simple systems, and access to over 3,000+ vetted AI tools and a tried and tested Prompts Library (500+ Prompts)

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AI doesn’t hate your site

Thu, 09 Apr 2026 11:58:36 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

😬 AI Crawled Your Site Three Times This Week. It Found Nothing Worth Citing.

📺 YouTube and Snapchat Are Both Pushing Harder on Ad Formats This Week

🚀Tweet of the Day

😬 AI Crawled Your Site Three Times This Week. It Found Nothing Worth Citing.

Picture two versions of the same webpage loading simultaneously.

A human opens it and sees everything, product descriptions, social proof, and a hero section, making the core value proposition impossible to miss. An AI crawler arrives at the exact same URL a fraction of a second earlier and sees a navigation bar, a footer, and empty containers where the content was supposed to be.

Same domain. Same URL. Completely different experience. And the version determining whether the brand gets cited in AI-generated answers is the one the team has never actually looked at.

The execution gap nobody on the dev team was told to worry about.

AI crawlers operate differently from human browsers in one critical way: they don’t wait. JavaScript executes after the initial HTML loads, which means anything rendered dynamically, product descriptions, hero copy, pricing, and reviews pulled from third-party widgets simply don’t exist at the moment the crawler reads the page and leaves.

The crawler didn’t miss the content. The content hadn’t arrived yet.

This isn’t an edge case affecting a handful of outdated sites. Roughly 30% of sites have business-critical content living exclusively in the post-JavaScript execution layer. Every one of those sites is effectively invisible to AI systems for the queries that matter most, the buying-intent searches, where getting cited means getting chosen.

Competitors aren’t winning those citations through better content or stronger authority. They’re winning because their content was physically present when the crawler came looking.

Where to start without rebuilding anything from scratch.

The fix is more targeted than the problem sounds. A full technical overhaul isn’t necessary, what’s needed is a precise audit of which pages are affected and which content types are living in the execution gap.

Three categories consistently show up as the highest-impact fixes:

Product and category pages, the pages AI pulls from when constructing answers to commercial queries, often built entirely in JS frameworks that render nothing at crawl time
Hero sections and value propositions, the content that should be doing the heaviest lifting in establishing what the brand does and why it matters, frequently invisible to crawlers
Social proof and reviews, third-party widgets that load after render, meaning the crawler finds a placeholder div and none of the trust signals it was supposed to contain
Moving these specific content types to static HTML closes the visibility gap permanently. Not a rebuild. A targeted migration of the content that matters most to the format crawlers can actually read.

Getting seen is step one. Getting cited is a different problem entirely.

A technically accessible site gets crawled. A citable site gets retrieved and referenced in AI-generated answers, and those two outcomes require completely different strategies.

AI answers don’t surface pages that rank well. They retrieve passages that signal trust, topical authority, and relevance at a granular level.

Join AirOps on April 15 at 2 PM EST for a live session with Eli Schwartz, Growth Advisor, Author of Product-Led SEO, and the strategist behind billions in organic revenue for Coinbase, LinkedIn, and Tinder, breaking down the exact framework for how AI retrieval works in 2026 and the four pillars determining whether content gets cited or skipped.

You can register it for free. Recording available within 24 hours.

The brand wasn’t forgotten. AI visited, found empty containers, and cited whoever had something worth reading.

The question is what it finds the next time it arrives.

Together with Omnisend

Email marketing that doesn’t need your attention.

Email marketing doesn’t need to take your breath away. Actually, it shouldn’t. As a business owner, you have enough “exciting” stuff happening.

Let Omnisend be the reliable, stable, and effective platform you don’t need to worry about.

No guessing if that campaign pays off. Brands using Omnisend on average make $79 for every $1 spent.
No need to learn anything new. It’s a platform so intuitive, it’s like you designed it.
No unwanted adventures. Their support team is available 24/7 to help you.

Over 150,000 brands already trust Omnisend - and 69% of their revenue runs on autopilot through automations they set once, with 17.3% higher CTRs to show for it.

You’re up and running in 30 minutes. Fully migrated in 5 days.

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📺 YouTube and Snapchat Are Both Pushing Harder on Ad Formats This Week

Both platforms made moves around ad experiences this week. YouTube is quietly testing 90-second unskippable ads on connected TV screens, while Snapchat is making a renewed push for Snapcodes as a serious marketing tool for brands.

The Breakdown:

1. YouTube Tests 90-Second CTV Ads - YouTube is testing 90-second unskippable ads on connected TV sets, spotted inside a 40-minute video by a Reddit user. The current official maximum sits at 60 seconds, and YouTube has not commented on the test.

2. A Separate Format From Ad Blocker Penalties - This is not YouTube’s punishment ad blocks that trigger on ad blocker detection. These 90-second ads are a standalone experiment measuring how much CTV viewers will actually tolerate.

3. Snapchat Is Pitching Snapcodes Again - Snapchat is actively promoting Snapcodes, its branded QR codes available since 2017, as a stronger alternative to generic QR generators. Brands can embed logos, link to AR experiences, and access deeper analytics.

4. Real World Use Cases Already Exist - Snap shared examples including retail storefronts offering AR try-ons on scan, product packaging linking to interactive content, and TV commercials directing viewers straight to trailers or sign-up pages.

YouTube watches over a billion hours of content on TV sets daily, making longer ad breaks a natural next step if users don’t push back. Snapcodes are the more niche play, but worth a look for brands targeting younger audiences.

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The Ad that wouldn’t die

Wed, 08 Apr 2026 11:58:39 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

🥹The Ad That Wouldn’t Die

📊 YouTube Hands Creators Better Audience Data While Pinterest Explains Why Variety Wins

🚀Tweet of the Day

🥹The Ad That Wouldn’t Die

Thirty-one days. Same asset. Same segment. The kind of run that makes a media buyer feel like a genius.

Then the segment went quiet.

Not a cliff. No dramatic drop that flags in the dashboard. Just a slow, imperceptible closing-off, the highest-LTV cohort in the account, the intentional buyers with the longest sales cycle and the lowest churn, stopped responding. To anything. New creative. Fresh angles. Different hooks. Nothing landed the way it used to.

Nobody looked back at the ad that ran for 31 days. Nobody connected the silence to the signal they’d run into the ground three months earlier. Why would they? The dashboard never flagged it. The ROAS held. The asset looked fine right up until the moment the damage was already done.

You’ve done this. Maybe not with those exact numbers, but you’ve kept something live because the dashboard didn’t give you a clear reason to stop. Because pulling a converting asset feels like leaving money on the table. The rule in performance marketing is: if it’s working, don’t touch it.

That rule is costing you buyers you don’t know you’ve lost.

Here’s the part that doesn’t show up anywhere you can measure it. Creative doesn’t just stop working. It crosses a threshold , quietly, without flagging , where continued exposure moves through three distinct stages:

Signal. The hook lands. The emotional trigger hasn’t been pattern-matched yet. Conversion reflects genuine resonance.
Wallpaper. The buyer has unconsciously categorized it. Performance erodes slowly enough to read as normal variance. Most accounts never catch this in time.
Scar Tissue. Continued exposure stops producing neutrality and starts producing aversion. Not the kind a buyer could articulate. Something lower-grade and more permanent , a quiet negative association filed away without their awareness.

They don’t hide the ad. They don’t click to complain. They scroll past it with a micro-response so subtle it registers as nothing. CTR reads stable. ROAS holds within range. The account looks healthy.

The damage is already done.

The shift isn’t dramatic. It doesn’t require a new strategy or a bigger creative budget. It requires one question asked before launch, not after:

How long is too long for this specific person , not this campaign, not this account, this person , to see this emotional signal before it stops feeling relevant and starts feeling like noise?

That question changes three things immediately:

The brief. You stop writing to a broad persona and start writing to a decay window.
The pull decision. You stop waiting for the dashboard and start pulling on a schedule built around the buyer.
What you count as a win. A 14-day run that exits clean beats a 31-day run that ends in Scar Tissue every time.

The belief most performance marketers carry is that creative failure is a volume problem. You didn’t make enough. You didn’t test enough variants. You ran out of fresh material.

But the accounts quietly outperforming their peers aren’t producing more. They’re stopping sooner. They’ve accepted that the most expensive creative decision isn’t what you launch , it’s what you refuse to let run one week past its expiration.

Your best-performing ad right now might already be your biggest liability. The dashboard won’t tell you. It never does.

Together with Funnelish

90% more conversions. Same product. Different funnel.

Liquid Death didn’t reformulate the water. They rebuilt what happened after the click, and the conversion rate jumped 90%. That’s not a marketing story. That’s a funnel story.

Most brands optimize the ad and ignore the rest. Pages drag. Checkouts leak. Abandoned carts go quiet. The revenue disappears before it ever lands.

Funnelish is built for everything the ad can’t fix. And if you’re already running a funnel somewhere else, their team will migrate it for you, free.

Sub-1-second load times. Half of your traffic won’t wait longer than 3 seconds
Drag-and-drop builder covering every stage: landing pages, upsells, cart recovery, confirmation
70% of visitors abandon cart. Built-in email and SMS sequences pull them back
Shopify, Stripe, Klarna, Google Sheets, Facebook Pixel, and 27+ integrations total

$2B+ processed. 33 million purchases. 4,600+ users who stopped patching and started scaling.

The traffic is already there. The funnel just needs to do its job.

Start free for 14 days. No card needed.

📊 YouTube Hands Creators Better Audience Data While Pinterest Explains Why Variety Wins

YouTube added Family Status and Household Income metrics to its Media Kit feature and brought Google’s Nano Banana into its video creation app. Pinterest revealed why showing users similar content actually backfires and what it does instead.

The Breakdown:

YouTube Adds Income and Family Data - The Media Kit now shows what percentage of a creator’s audience are parents and breaks down household income, giving YouTube creators sharper data to pitch to brands when negotiating sponsorship deals.

Nano Banana Hits YouTube Create - YouTube Create, the platform’s standalone editing app, now lets users generate images with Google’s Nano Banana model using text prompts and up to three reference images uploaded directly from the device gallery.

Pinterest Says Repetitive Content Hurts Engagement - Visually similar Pins reduce session length and return visits even when they match a user’s past searches. Pinterest now diversifies feeds intentionally because clinging to direct engagement signals ends up making the app less interesting over time.

Smarter Signals Beyond What You Click - Pinterest expanded its recommendation system to include visual and text embeddings, co-engagement patterns, and actions from other similar users. The result is broader, more relevant feeds across its 619 million monthly active users.

YouTube is making it easier for creators to land brand deals and giving them more AI-powered creative tools. Pinterest is proving that algorithmic variety beats algorithmic repetition. Both updates point to platforms refining how they connect users to content and creators to revenue.

Together with The Shift

The AI Newsletter Built For People Who Actually Use AI

Many AI newsletters are interesting. Very few are useful.

The Shift is built for execution, not curiosity.

Every edition shows you exactly how you can use AI right now to save hours, reduce costs, or replace entire workflows. No theory, no tool dumps, no trend watching.

You get practical breakdowns, daily copy-paste prompts, simple systems, and access to over 3,000+ vetted AI tools and a tried and tested Prompts Library (500+ Prompts)

So you can apply everything immediately. If AI is part of your work, but still feels underutilized, this newsletter fixes that.

Subscribe to The Shift. It’s free!

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The best post-purchase flow ever

Tue, 07 Apr 2026 11:58:41 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

💪 A Post-Purchase Flow Built for LTV, Not Receipts

🔍 Bing shapes ChatGPT while humans still win Google

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💪 A Post-Purchase Flow Built for LTV, Not Receipts

The average ecommerce brand sends two emails after a purchase. One confirms the order. One says thank you. Both read like a receipt. Neither does it do anything for retention.

The problem isn’t volume. Brands that graduate to seven-email sequences make the same mistake at scale: every email is the brand talking to the customer, optimizing for its own anxiety about churn.

The pre-fulfilment upsell thirty minutes after checkout is the clearest symptom. The customer just committed their money. The brand’s response is to immediately ask for more.

What actually drives LTV isn’t follow-up frequency. It’s certain. A buyer who feels certain they made the right call doesn’t need to be retained. They retain themselves.

Certainty, not engagement, is the real retention lever

Buyer’s remorse starts within minutes of purchase and compounds at every point of silence. Every customer moves through a predictable sequence of internal doubts: Did I spend my money right? Will this work for me? What if I’m the exception? Most brands leave those questions unanswered and wonder why repeat purchase rates sit below 20%.

The Certainty Ladder is a seven-email sequence where each touchpoint has a specific psychological job tied to the customer’s internal state at that moment, not a revenue target tied to the brand’s calendar.

Seven emails. Seven psychological jobs.

The Confirmation sends immediately and does one thing: tells the customer they didn’t make a mistake.
The Social Proof Preload goes out an hour later, not an upsell, but a real customer story mirroring the buyer’s situation. Identity installation before the product arrives.
The Founder Note follows two to four hours in, not to say thanks, but to explain why the product exists. Story at this stage creates irrational loyalty.
The Expectation Setter on day one proactively answers “is this working?” before the customer asks, removing the single biggest trigger for returns.
The Enemy Frame on day two reframes what the customer was doing before they bought as the actual problem. When returning to old behavior feels like regression, that’s identity-level retention. No discount required.
The Ritual Install ships at fulfilment alongside the tracking link, turning the unboxing moment into active first use. If you’re running sequences like this, Omnisend makes the automation side effortless, $79 revenue per $1 spent, with 69% running on autopilot. You can try Omnisend for free
The Progress Anchor arrives two days post-delivery with one direct question. Replies identify loyalists. The act of answering is itself a commitment.

What the sequence is actually doing

Repeat purchase is the output of loyalty, not a well-timed push. Every email in a standard flow asks a question about the brand’s future with the customer. Every email in the Certainty Ladder answers a question the customer is already asking themselves.

Together with AirOps

Google rankings won’t save you in AI search.

Google rankings don’t matter if AI never pulls your content. And most brands have no idea why they’re being skipped or how to change it.

On April 15th, Eli Schwartz is breaking down the exact framework he’s taken into board rooms and VC meetings.

Eli has generated billions in organic search revenue for companies like Coinbase, LinkedIn, and Tinder. This is what he’s telling them right now about AI search in 2026.

You’ll walk away knowing:

The 4 pillars that determine whether AI retrieves your content
How to spot the highest-leverage SEO stages to fix first
Why customer research is still the most underused edge in AI visibility

One live session. A framework you can action the same week.

Secure your free spot now

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

🔍 Bing shapes ChatGPT while humans still win Google

Two studies reveal how visibility works differently across AI and search. One shows ChatGPT depends heavily on Bing for brand recommendations. The other proves human-written content still dominates top Google rankings despite widespread AI adoption.

The Breakdown:

1) ChatGPT visibility depends more on Bing than Google - The study found that even strong brands can disappear from ChatGPT responses if they lack presence in Bing. Google rankings alone do not guarantee visibility in AI-generated recommendations.

2) Third-party content and Bing mentions drive AI exposure - Brands that appear in Bing articles and third-party content are more likely to be recommended by ChatGPT. Visibility depends on broader digital presence, not just direct website rankings.

3) Human content dominates top Google rankings - Semrush data shows human-written content ranks #1 far more often than AI content, with humans holding the top spot around 80% of the time compared to just 9% for AI pages.

4) AI helps scale content but does not guarantee quality - Most teams still rely on humans alongside AI, using it mainly for research and drafting. While AI speeds up production, it rarely improves content quality or replaces human judgment.

Search and AI are now playing by different rules. If you want to win Google, you need strong human content. If you want to win ChatGPT, you need visibility where the model is actually looking.

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The Auction is killing your retargeting

Mon, 06 Apr 2026 11:58:12 GMT

Howdy Readers 🥰

In this newsletter, you’ll find:

👨‍💻 The Auction Is Pricing You Out of Your Own Retargeting

🎬 Google and Meta Both Want You Paying for New Features

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👨‍💻 The Auction Is Pricing You Out of Your Own Retargeting

When you build a 180-day retargeting audience, you’re pooling people who abandoned a cart yesterday with people who browsed once in Q3 and forgot you exist. Meta prices the entire pool based on its most competitive slice, your recent, high-intent visitors.

The cold majority rides along at that inflated rate, converting at almost nothing while your CPMs absorb a 20–40% penalty you never see itemized.

That’s audience pollution. And it’s one of the most expensive invisible problems in your account.

Three signals it’s already happening:

Frequency climbing while CVR stays flat, you’re lapping the same low-intent people
Strong CTR paired with high bounce rates, clicks from curiosity, not purchase intent
ROAS that holds in aggregate but collapses when you isolate new customer revenue

Fix it with intent velocity segmentation.

Break retargeting into three windows, 0–7 days, 7–30, 30–90, each running as a separate campaign with its own creative, bid strategy, and frequency cap. You stop letting the cold segment set the auction price for the warm one.

0–7 days: Urgency-led creative. Direct offer. Minimal friction. This window converts or exits fast, treat it accordingly.

7–30 days: Active consideration. Lead with proof. Testimonials, comparisons, use-case specificity. They remember you. Give them a reason to move.

30–90 days: Decaying intent. Re-establish relevance before you re-introduce the offer. A discount shown here can resurrect a prospect. The same discount shown in the 0–7 window trains your best buyers to wait.

Smaller, cleaner audiences outperform bloated blended pools, not on reach, on efficiency.

Then fix what the traffic lands on.

Higher-intent traffic hitting a funnel built for messier visitors is recovered margin leaking right back out. The ads got the upgrade. The funnel never did. Funnelish closes that gap, sub-second load times, full funnel from landing page to confirmation, native cart recovery without patching in a third tool. The infrastructure your cleaned-up traffic actually deserves.

Build your first funnel for free. No credit card needed. Cancel whenever. You can try it for free for 14 days

Polluted audiences are a low-quality signal. The system works with them, it just costs more and returns less.

Segment by intent velocity. Match the creative to the window. Close the funnel gap. That’s not an optimization. That’s the compounding advantage sitting one audit away from most accounts running retargeting right now.

Stop checking your creative first. Check what you’re actually paying to reach.

Together with Tatari

When Meta hits a ceiling, the smartest brands look beyond it.

Scaling digital used to be straightforward. Now brands hit a Meta Ceiling where reach stalls and CAC skyrockets.

The brands still compounding aren’t fixing it inside Meta. They’re diversifying.

Seed Health did exactly this. They turned to TV with Tatari as a performance channel. Hard CAC targets, daily optimization, and budget moving to what worked.

The results weren’t gradual:

TV matched their digital CAC within 6 weeks
Conversions doubled week over week on a single campaign
TV as a cited discovery channel increased 6–7x

Tatari shows you exactly where every dollar ran and what it produced. Linear, streaming, direct inventory, attribution that holds up at scale.

Over 400 brands like Jones Road Beauty, Fabletics, and Calm built TV into their core growth stack with Tatari.

Every week you wait is a week someone in your category is pulling customers you could have reached first.

Schedule your free demo today and scale beyond digital!

🎬 Google and Meta Both Want You Paying for New Features

Google added AI-powered avatars, custom music generation, and higher-quality video export to Google Vids. Instagram confirmed it’s testing Instagram Plus, a paid subscription for everyday users in three markets.

The Breakdown:

AI Avatars and Music - Google Vids now lets you create AI characters that narrate your videos with customisable outfits, backgrounds, and consistent voice, plus Lyria 3 powers custom soundtracks from 30-second clips to full 3-minute tracks.

Better Video Quality Free - All personal accounts get 10 free video generations monthly using Google’s Veo 3.1 model with a new Chrome extension for screen recording and direct YouTube publishing built in.

Instagram Plus Confirmed - Meta is testing a paid subscription in Mexico, Japan, and the Philippines with features like anonymous Story viewing, rewatch counts, Story spotlighting once per week, animated Superlikes, and extended 24-hour Story duration.

Separate From Meta Verified - Instagram Plus targets regular users not creators or businesses. Meta Verified already has roughly 35 million subscribers generating around $2B in annual revenue, which explains why Meta wants more subscription products.

Google is making professional video production accessible to anyone with a Vids account. Meta is testing whether everyday users will pay for small engagement boosts. TikTok already proved AI avatars can sell products around the clock in China, and Google just made that possible for everyone.

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