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😤 Stop Giving Meta Mixed Signals

🔍 Google Ads Now Runs on Intent, Not Keywords

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Together with Share Local Media

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😤 Stop Giving Meta Mixed Signals

When revenue starts getting noisy, the instinct is to blame the creative or CPMs. The quieter issue usually sits in the feedback loop.

If purchases, add-to-carts, and random promo redemptions all get treated the same, the system will chase whichever fires most often. That often means low AOV buyers, discount hunters, or one-time purchasers. The platform isn’t misbehaving. It’s following the incentives built into the account.

Meta optimizes labels, not intent.

1️⃣ AOV Blindness Creates Margin Problems

If every purchase is equal in the ad account, the model cannot distinguish between a $28 accessory buyer and a $240 core product buyer. Over time, it gravitates toward the faster, cheaper conversion.

That feels efficient at first. Then, blended AOV drops and contribution margin compresses. Value-based optimization or tiered purchase events teach the system which transactions actually matter.

Signal hierarchy shapes revenue quality.

2️⃣ Discount Events Can Poison Learning

Heavy promo periods often create a surge in cheap conversions. If those purchases get fed back without context, the system starts preferring price-sensitive audiences long after the sale ends.

The cost shows up weeks later: higher CAC at full price and weaker repeat behavior. Separating sale campaigns or tagging promo buyers differently prevents long-term distortion.

Short-term lifts can create long-term drift.

3️⃣ Bundles and High-Margin SKUs Need Isolation

Mixing high-margin bundles with low-margin impulse products under one ROAS target creates confusion. The algorithm will default to whichever path hits the target easiest, even if it erodes profit.

Segmenting by margin profile or price band gives the system a cleaner learning environment. Fewer conflicting signals lead to steadier scaling.

Data density only works when economics align.

4️⃣ Creative Filters the Buyer Before the Click

Broad lifestyle messaging invites everyone. Specific use-case messaging narrows the field before the auction even settles.

If the ad highlights a premium outcome or a distinct problem, it naturally filters out low-intent traffic. That improves downstream event quality and strengthens optimization over time.

Acquisition performance reflects upstream precision.

Scaling paid acquisition isn’t about pushing harder. It’s about tightening what gets rewarded.

When higher-value orders, healthier margins, and repeat behavior become the signals that feed back into the system, acquisition stops drifting toward volume for volume’s sake.

The platform compounds whatever behavior is reinforced. Feed it better outcomes, and it hunts better customers.

🔍 Google Ads Now Runs on Intent, Not Keywords

Google Ads no longer runs purely on keyword matching. The auction is triggered by inferred intent, shaped by conversational AI, query fan-out, and reasoning layers that decide which ads best support a user’s underlying goal.

The Breakdown:

1. Auction Logic Has Changed - Google now uses query fan-out to split complex searches into subtopics and infer intent before users finish typing. Ads match need states, not exact keywords, reshaping how eligibility works.

2. Intent Beats Match Types - Campaigns should be structured around user goals and decision stages rather than exact or phrase match. The same query can signal different intents, and Google’s AI increasingly interprets that nuance.

3. Eligibility Favors AI Formats - Showing in AI Overviews and AI Mode requires broad match, Performance Max, or AI Max. Exact and phrase match still protect brand terms but limit exposure in conversational placements.

4. Context and Data Win - Landing pages must address why a user needs something, not just what it is. Rich metadata, optimized feeds, and Customer Match data strengthen signals, while automation requires consistent conversion volume.

Keywords still matter, but they are no longer the blueprint. Intent-first thinking aligns campaigns with Google’s AI reasoning, making it the most resilient way to compete as conversational search expands.

Together with The Shift

The AI Newsletter Built For People Who Actually Use AI

Many AI newsletters are interesting. Very few are useful.

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