BuyerID.ai | Feed the Algorithm What It's Missing
Intent Signal Injection for Meta & Google

Feed the Algorithm What It's Missing

iOS14 broke Meta's targeting. We fix it. Capture real-time search intent from your market and inject it directly into Meta's algorithm. Stop guessing. Start converting.

62%
Lower CPA in 7 days
198%
ROAS Improvement
59%
Higher Conversion Rate

Meta's Algorithm Is Starving

iOS14 killed the signal Meta needs to find buyers. Now you're paying premium prices for guesswork.

📉

The Tracking Loss

Apple's privacy updates blocked Meta from seeing user behavior across the web. The data pipeline that powered precise targeting? Gone.

🎲

The Guessing Game

Without behavioral signals, Meta's algorithm is making educated guesses. Your interest targeting and lookalikes are built on incomplete data.

🔥

The Burn Rate

You're paying for 100% of clicks but converting a fraction. Every visitor who bounces is money spent on someone Meta's algorithm thought might buy—but didn't. The signal gap is costing you 2-3x what you should be paying per acquisition.

Inject Real Intent Data Into Meta's Learning System

We capture who's searching for what you sell—right now—and feed that signal directly to Meta's algorithm.

01

Capture Search Intent

We identify people in your target markets actively searching for your category keywords. Not site visitors—people searching on Google right now.

Keywords: "emergency plumber near me" → 847 matches this week
02

Build Your Seed Audience

We resolve identities against a 250M+ verified profile graph and upload them to Meta as a Custom Audience. This is your seed of real, verified intent.

Custom Audience: "High-Intent Plumbing Searchers" → 2,341 profiles
03

Create Lookalikes That Actually Work

Meta builds a 3% Lookalike from your seed audience. But now it's learning from actual buyer intent—not behavioral guesses.

LLA 3% Source: Real search intent → Algorithm trains on buyers
04

Watch Your CPAs Drop

Meta's algorithm has real signal again. It stops guessing and starts finding. Your acquisition costs fall while conversion rates climb.

Result: CPA $199 → $76 in 7 days

7-Day Case Study: Search Intent Audiences vs. Broad Targeting

Performance Comparison
Same budget. Same creative. Different signal source.
-62%
↓ Lower
Cost Per Acquisition
+198%
↑ Higher
Return on Ad Spend
+59%
↑ Higher
Conversion Rate
7
Days
Time to Results
285 Seed Audience Size
That's it. 285 high-intent search records seeded the lookalike that drove these results. You don't need a massive list—you need the right signal.
Results from internal testing comparing BuyerID Search Intent audiences against standard broad targeting with identical creative and budget allocation.

How Brands Use Search Intent Injection

Three ways to weaponize real-time search data for lower CPAs.

🎯

Category Capture

Identify everyone searching for your product category in your target markets. Build lookalikes from actual demand signals.

Keyword: "best running shoes 2024"
Match: 12,847 profiles in target DMAs
Action: Seed audience → 3% LLA
⚔️

Competitor Conquesting

Capture the identity of prospects the moment they search for your competitor's name—before they even click their site.

Keyword: "[Competitor] reviews"
Match: 3,291 active shoppers
Action: Retarget with comparison ads
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Signal Restoration

Feed continuous intent data to Meta's algorithm, training it on real buyers month over month. The algorithm compounds.

Monthly: 5,000+ new intent signals
Effect: Algorithm accuracy improves
Result: CPAs decrease over time

Stop Feeding Meta Guesses.
Start Feeding It Buyers.

See how search intent injection can cut your acquisition costs in the next 7 days.