Why are some Facebook BM disabled, but others are not? Facebook's algorithm explained

1. Facebook uses a “Trust Score” model to evaluate each Business Manager (BM)​

• Behavioral history
• Policy violation history
• User feedback frequency
• Auto-flagging by Facebook’s AI systems

2. Multi-layer detection algorithm​

Layer 1: Automated behavioral checks​

• Number of disapproved ads in a short period
• Sudden spikes in ad spending
• Suspicious login IPs or devices (via accounts or VPNs)
• Repeated payment failures

Layer 2: Graph analysis​

• Whether any users in the BM have previous policy violations
• If the BM is connected to other penalized BMs (via pixel, page, domain, etc.)

Layer 3: Ad content machine learning (ML)​

• Ad copy semantics (e.g. false claims, exaggerated wording, medical or financial terms)
• Landing pages for scam flags or redirect patterns
• User feedback such as "I don’t like this ad" or "Misleading ad"

Why do some BMs stay active?​

1. Long-term, healthy ad history​

• Facebook tends to preserve BMs with consistent, high spending and low violation rates.

2. Verified business accounts​

• BMs that have completed Facebook’s business verification process get extra protection.

3. Clean admin accounts​

• Admins with long-standing, stable Facebook accounts without suspicious activity help reduce risk.

Evaluation Factor	Can it trigger BM disablement?
Ad policy violations
Misleading or sensitive content
“Dirty” user accounts (e.g. via, clones)
Unverified business
Linked to other bad BMs
Low trust score from negative feedback

Huni said:

1. Facebook uses a “Trust Score” model to evaluate each Business Manager (BM)​

Each BM and ad account is assigned an internal trust score, based on:

• Behavioral history
• Policy violation history
• User feedback frequency
• Auto-flagging by Facebook’s AI systems

If the trust score drops too low → the system may automatically disable the BM or request verification.

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2. Multi-layer detection algorithm​

Layer 1: Automated behavioral checks​

Facebook uses AI to monitor:

• Number of disapproved ads in a short period
• Sudden spikes in ad spending
• Suspicious login IPs or devices (via accounts or VPNs)
• Repeated payment failures

If behavior exceeds risk thresholds, the account is flagged for further review.

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Layer 2: Graph analysis​

Facebook analyzes:

• Whether any users in the BM have previous policy violations
• If the BM is connected to other penalized BMs (via pixel, page, domain, etc.)

High-risk associations can lower the new BM's trust score.

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Layer 3: Ad content machine learning (ML)​

Facebook’s ML models analyze:

• Ad copy semantics (e.g. false claims, exaggerated wording, medical or financial terms)
• Landing pages for scam flags or redirect patterns
• User feedback such as "I don’t like this ad" or "Misleading ad"

The more sensitive the content, the higher the risk score.

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Why do some BMs stay active?​

1. Long-term, healthy ad history​

• Facebook tends to preserve BMs with consistent, high spending and low violation rates.

2. Verified business accounts​

• BMs that have completed Facebook’s business verification process get extra protection.

3. Clean admin accounts​

• Admins with long-standing, stable Facebook accounts without suspicious activity help reduce risk.

Facebook’s algorithm doesn’t treat all BMs the same. Each BM is a node in a large graph, evaluated through:

Evaluation Factor	Can it trigger BM disablement?
Ad policy violations
Misleading or sensitive content
“Dirty” user accounts (e.g. via, clones)
Unverified business
Linked to other bad BMs
Low trust score from negative feedback

View attachment 444424

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Donald Duck Agency said:

There are currently many ways to avoid bans when sharing BM advertising accounts.

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Huni said:

Can you share the ways you know?

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