Meta Ads Deep Analysis
Andromeda + GEM + Lattice (2026)
Meta's delivery stack was rebuilt across three releases:
- Andromeda (Oct 2025) — ad-retrieval ranking model with 10,000× more
model capacity than the previous funnel (Meta Engineering, Dec 2024). Filters the candidate creative set before the auction layer ever sees it.
- GEM (Generative Embedding Model, late 2025) — replaces the feature
pipeline. Creative content embeds directly into the targeting space, which is why "creative is the new targeting" is now mechanical truth not slogan.
- Lattice (rolled out late 2025 / early 2026) — sequence-aware optimizer
on top of GEM that uses user-action sequences to rank candidate ads.
Net effect: creative diversity is now the #1 performance lever. Ads with Similarity Score >60% (per Confect's measured threshold) get retrieval suppression — the algorithm clusters near-identical creatives and silently limits their delivery. 100 minor variations perform no better than 10 genuinely distinct ones. Prioritize concept / angle / format diversity over variant volume.
Creative-as-targeting scoring rubric
When auditing a creative library against Andromeda's retrieval logic, score across these 5 axes (each 0-2, total 0-10):
| Axis | 0 (Risk) | 1 (OK) | 2 (Strong) | |------|----------|--------|------------| | Concept diversity | Single core message / value prop across all assets | 2 distinct messages | 3+ distinct angles (problem-led, social proof, comparison, …) | | Format diversity | One format (e.g. all static image) | 2 formats | 3+ (image, video, carousel, collection) | | Visual diversity | One palette / one model / one composition | 2 distinct visual treatments | 3+ visually distinct treatments | | Hook diversity (video) | All hooks ≤3s look alike | 2 hook patterns | 3+ hook patterns (UGC POV, question, claim, demo, …) | | Headline diversity | All headlines paraphrase the same line | 2 headline structures | 3+ structures (number-led, question, claim, comparison) |
Score 8-10 = LOW Entity-ID clustering risk. Score 4-7 = MEDIUM risk (some suppression likely). Score 0-3 = HIGH risk (significant retrieval ticket loss).
Entity-ID Clustering Predictor (pre-launch)
Before launch, predict which creatives Meta will cluster. Cluster-mates share retrieval tickets — only one wins per impression opportunity.
Predictor heuristics (apply to every pair of creatives in the launch set):
- Visual fingerprint — same product hero, same model, same backdrop,
same lighting → likely cluster. Different products or different visual identities → likely not a cluster.
- Headline fingerprint — same first 4 tokens → likely cluster
(e.g. "Save 30% on" + "Save 30% off" + "Save 30% — limited time").
- Body copy fingerprint — same opening sentence, same CTA verb → likely
cluster regardless of middle-body differences.
- Video hook fingerprint — same 0-3s shot, same voiceover pattern →
likely cluster even if the rest of the video diverges.
- Format mismatch wins — if pair is (static + video) AND visual fingerprint
differs, they are not clustered. Crossing format AND visual is a strong diversity signal.
Output: produce a creative-cluster-risk.md deliverable that groups the launch set into predicted clusters, recommends which creative in each cluster should ship and which should be cut or rebuilt, and reports the final pre- launch diversity score (target ≥8/10).
MAPI v25 ASC/AAC Deprecation Detector
Meta Marketing API v25 deprecates the explicit Advantage Shopping Campaigns (ASC) and Advantage App Campaigns (AAC) creation paths — those campaign types are folded into standard Sales / Leads / App objectives where ASC behavior becomes the default configuration. Detection:
- If the account uses MAPI v23 or earlier: ASC/AAC API endpoints will return
deprecation warnings before the v25 cutover. Capture and flag them.
- If the account uses MAPI v25+: confirm that previously-ASC campaigns have
been migrated to the new objective-default model with the equivalent catalog + budget + existing-customer cap settings preserved.
- If creating new campaigns: use the Sales / Leads / App objective + ASC
defaults rather than the legacy ASC/AAC endpoints.
ASC defaults for Sales / Leads / App (2026 behavior)
When Sales / Leads / App objectives are selected, ASC behaviors are now the default. Audit confirms:
- Catalog connection (Sales): product catalog linked and feed health green
- Existing customer cap (Sales): set to 10-25% (default may be too high
for high-LTV brands)
- Advantage+ Audience (all three objectives): on by default; only override
with manual interest stacks for highly restricted categories
- Advantage+ Creative (all three): text / brightness / music enhancements
on by default; if your brand-safety policy requires off, document the exception per ad set
Process
- Collect Meta Ads data (Ads Manager export, Events Manager screenshot, EMQ scores)
- Read
ads/references/meta-audit.mdfor full 50-check audit - Read
ads/references/benchmarks.mdfor Meta-specific benchmarks - Read
ads/references/scoring-system.mdfor weighted scoring - Evaluate all applicable checks as PASS, WARNING, or FAIL
- Calculate Meta Ads Health Score (0-100)
- Generate findings report with action plan
What to Analyze
Pixel / CAPI Health (30% weight)
- Meta Pixel installed and firing on all pages
- Conversions API (CAPI) active (30-40% data loss without it post-iOS 14.5)
- Event deduplication configured (event_id matching, ≥90% dedup rate)
- Event Match Quality (EMQ) ≥8.0 for Purchase event
- All standard events configured (ViewContent, AddToCart, Purchase, Lead)
- Custom conversions created for non-standard events
- Aggregated Event Measurement (AEM) configured for iOS
- Domain verification completed
- Server-side events include customer_information parameters
- Pixel fires with correct currency and value parameters
Creative (30% weight)
- ≥3 creative formats active (image, video, carousel, collection)
- ≥5 creatives per ad set (Meta recommendation)
- Creative fatigue detection: CTR drop >20% over 14 days = FAIL
- Video creative: 15s max for Stories/Reels, 30s max for Feed
- UGC/testimonial creative tested
- Dynamic Creative Optimization (DCO) tested
- Ad copy: headline under 40 chars, primary text under 125 chars
- Creative refresh cadence: every 2-4 weeks for high-spend
Account Structure (20% weight)
- Campaign Budget Optimization (CBO) vs Ad Set Budget (ABO) intentional
- Campaign consolidation: 1-3 campaigns total recommended
- Learning phase health: <30% ad sets in "Learning Limited" (FAIL >50%)
- Budget per ad set: ≥5x target CPA (minimum for learning phase exit)
- Ad set audience overlap <30% (Audience Overlap tool)
- Campaign naming conventions consistent and descriptive
- Advantage+ Sales Campaigns active for e-commerce
- Simplified campaign structure: 1-3 campaigns total (fewer, larger ad sets preferred)
Audience & Targeting (20% weight)
- Prospecting frequency (7-day): <3.0 (WARNING 3-5, FAIL >5)
- Retargeting frequency (7-day): <8.0 (WARNING 8-12, FAIL >12)
- Custom Audiences: website visitors, customer lists, engagement
- Lookalike Audiences: multiple seed sizes tested (1%, 3%, 5%)
- Advantage+ Audience tested vs manual targeting
- Interest targeting: broad enough for algorithm optimization
- Exclusions: purchasers excluded from prospecting, overlap managed
- Location targeting reviewed for relevance
Advantage+ Assessment
If Advantage+ features are in use:
- Advantage+ Sales Campaigns: catalog connected, existing customer cap set
- Advantage+ Audience: performance vs manual audience compared
- Advantage+ Creative: e