Funded idea
Founder ad
Blueprint TOF
Free Meta creative audit
Read the delivery signal. Check whether the business agrees.
Show me what to make next → Starts with your public ads. No account connection.
Funded idea
Blueprint TOF
Funded idea
Jones Road Beauty MOF
Funded idea
Jones Road Beauty MOF
Arrae TOF
Happy Mammoth MOF
WHOOP BOF
Pendulum TOF
Arrae TOF
Happy Mammoth TOF
Nutrisense TOF
Vital Proteins TOF
Huel TOF
How Meta decides what gets delivery
Creative, behavior, objective, context, and auction inputs work together. Five visual chapters show what happens inside Meta, what becomes visible, and what the audit can actually prove.
Person + ad + context
Meta turns creative signals and behavior history into vector representations, which are long lists of numbers that capture learned patterns. Models combine them with your objective, audience controls, bid strategy, and the current context.
Creative helps define relevance. It does not replace targeting, bidding, or measurement.Andromeda retrieval
Retrieval is the first stage. It narrows tens of millions of eligible ads to a few thousand relevant candidates for this person and moment.
Andromeda does not choose the final ad. It decides which ads deserve deeper evaluation.How the model stack changed
Meta’s ads system evolved through overlapping model architectures, retrieval, foundation-model learning, and live ranking. These are not four boxes every impression passes through.
The shift is toward richer signals, more shared learning, and deeper decisions at live-ad speed.One opportunity at a time
Ranking predicts value for the person and advertiser. The auction then weighs the advertiser bid, estimated action rate, and ad quality to choose what gets shown.
A different person, context, or moment can produce a different winner.From hidden decisions to visible evidence
Meta does not expose its embeddings, retrieval scores, or predicted action rates. The decisions accumulate into visible delivery and spend.
The Audit checks where spend concentrated, whether the business result agrees, and what creative to build next.Primary evidence Sequence learning Andromeda Lattice GEM ARM Ad auction
What the audit does with spend
One account becomes four operator decisions. The source evidence stays visible while the question changes.
Are you making enough different ideas?
The audit separates ideas from executions, then sets a production range your spend can actually test.
Why did these three receive most of the spend?
The audit tests whether those funded ideas also cleared the business target.
What is the account still missing?
The audit maps funded ideas across awareness stages. Empty cells become the next briefs.
Should the other four ads be turned off?
The audit checks delivery, time, spend, and the business target before it calls an ad failed.
2026 Meta Creative Library
See the format, the rule, a real Meta example, and how to rebuild the mechanism around your own customer and proof.
Real creative example. Public performance data is unavailable.
Teach before you pitch.
The founder earns attention with a useful category truth, then shows why the product had to exist.
Two evidence layers
The audit keeps those two sources separate until the evidence supports joining them.
We never pretend the public Meta Ad Library knows your private performance.
The person behind the audit
I’m Yehonatan “Johnny” Tav, a growth strategist, agency founder, and builder working across paid media, creative strategy, data, and AI.
I help companies understand more than which ads performed. I uncover what the market is responding to, where the business should place its next bet, and how the team can turn those signals into a repeatable creative and growth engine.
The Creative Audit is one part of that work. It connects media allocation, customer psychology, business performance, and creative execution so teams can make better decisions faster.
My operating belief An ad account is not just a dashboard. It is a live record of what the platform, the market, and the business are rewarding.
Start with one answer
We map how your live ads move from discovery to decision, then show which buying arguments are missing.