- Oct 17, 2023
- 2,089
- 1,031
Not “myth version”. Real logic of how Meta evaluates your creatives, accounts, links, and behavior - and why some ads get banned instantly while others fly for months.
Stage 1 - Risk Assessment of the Account (before creative matters)
The moment you upload an ad, Facebook does NOT start from your creative.
It starts from you:
Facebook checks:
• age of account
• lifetime spend
• refund history
• share of rejected ads
• number of policy violations
• GEO patterns
• historical complaint rate
• how often you change assets, BM, billing, proxies, etc.
This creates an internal trust score.
This is why new accounts always suffer and old accounts feel magically easier.
Stage 2 - Technical + Metadata Fingerprint
Before even scanning the creative visually, Meta fingerprints the setup:
• advertiser category (sensitive / normal / risky vertical)
• campaign objective (traffic? leads? conversions?)
• suspicious patterns (same domain reused by many advertisers, cloaking history, redirects)
• GEO-risk (some countries trigger stronger review)
• billing behavior
• whether the account type historically required manual moderation (as Reuters reported)
Even tricks like Antarctica targeting sometimes influence moderation because they distort perceived GEO risk, which can push ads into a different review path.
Stage 3 - AI Text & Visual Analysis
Now Meta analyzes the creative itself. It’s multimodal AI analyzing:
Text in image & video frames
Spoken audio converted to text
On-screen claims and visual metaphors
Sensitive themes
“Emotional manipulation patterns”
Unrealistic promises (ROI scams, miracle cures, guaranteed earnings, etc.)
Meta’s internal system:
• flags
• scores severity
• compares with past scam datasets
• predicts user harm probability
It doesn’t ban for sure, it assigns risk probability.
If you find it useful, let's wait for the next part.
Stage 1 - Risk Assessment of the Account (before creative matters)
The moment you upload an ad, Facebook does NOT start from your creative.
It starts from you:
Facebook checks:
• age of account
• lifetime spend
• refund history
• share of rejected ads
• number of policy violations
• GEO patterns
• historical complaint rate
• how often you change assets, BM, billing, proxies, etc.
This creates an internal trust score.
This is why new accounts always suffer and old accounts feel magically easier.
Stage 2 - Technical + Metadata Fingerprint
Before even scanning the creative visually, Meta fingerprints the setup:
• advertiser category (sensitive / normal / risky vertical)
• campaign objective (traffic? leads? conversions?)
• suspicious patterns (same domain reused by many advertisers, cloaking history, redirects)
• GEO-risk (some countries trigger stronger review)
• billing behavior
• whether the account type historically required manual moderation (as Reuters reported)
Even tricks like Antarctica targeting sometimes influence moderation because they distort perceived GEO risk, which can push ads into a different review path.
Stage 3 - AI Text & Visual Analysis
Now Meta analyzes the creative itself. It’s multimodal AI analyzing:
Text in image & video frames Spoken audio converted to text On-screen claims and visual metaphors Sensitive themes “Emotional manipulation patterns” Unrealistic promises (ROI scams, miracle cures, guaranteed earnings, etc.)Meta’s internal system:
• flags
• scores severity
• compares with past scam datasets
• predicts user harm probability
It doesn’t ban for sure, it assigns risk probability.
If you find it useful, let's wait for the next part.
