Personal Attributes Policy: The 'You' Rule in Meta Ads

What does Meta's Personal Attributes policy prohibit?

Meta's Personal Attributes policy bans any ad that asserts or implies a fact about the specific person viewing it — race, ethnicity, religion, age, sexual orientation, gender identity, disability, a medical condition, financial status, criminal history, or even a name — rather than describing the product or a general audience. The rule sits inside Meta's core ad standards and applies the same way across every vertical, but nutra and biz-opp advertisers hit it constantly because the entire hook usually depends on naming a condition the viewer supposedly has.

The line Meta draws is between description and assertion. 'Supports healthy blood sugar levels' describes what a product does. 'Struggling with high blood sugar?' asserts that the specific viewer has a diagnosed condition, and that assertion is what triggers rejection, appeal denial, or in repeated cases a stricter review queue on the ad account.

Enforcement doesn't vary by placement or format. The same wording gets flagged on Instagram Reels, Facebook feed, and Audience Network placements, and Meta applies the check before spend has any chance to prove the creative converts, which is why catching it at the script stage saves far more time than appealing after the fact.

Why is second-person copy the usual trigger?

Second-person phrasing is the usual trigger, but the pronoun by itself isn't the violation. Compliant ads use 'you' constantly — 'you'll love this deal,' 'add to your cart' — without any Personal Attributes problem, so the flag isn't grammatical person. It's the pairing of 'you' with a specific, sensitive trait that reads as Meta telling the viewer something private about themselves.

That pairing is what a reviewer or classifier actually screens for: 'you' plus a diagnosed condition, a financial state, or a protected characteristic. 'Tired of your acne?' reads as an assertion that the viewer has acne. Swap 'your acne' for a mechanism or a general population and the same second-person sentence usually clears review.

This is why blanket advice to strip every 'you' from a script misses the actual mechanism, and it often guts a hook's conversion rate for no compliance benefit at all. The fix targets the assertion attached to the viewer, not the pronoun carrying it.

Which nutra and finance angles violate it by default?

Certain angles violate Personal Attributes by default because the entire premise requires naming a condition the viewer supposedly has. Weight, blood sugar, joint pain, low libido, memory, debt, and credit standing dominate the rejection queue for exactly this reason — the offer only makes sense once the ad assumes something private about the reader.

None of these angles are unusable outright. Each one just needs to move from asserting the reader's condition to describing the condition in general terms, which is exactly the rewrite pattern covered next.

• Weight and body shape: 'why are you still overweight?' asserts a body-fat status the advertiser cannot know.
• Blood sugar and diabetes: any hook naming the viewer's glucose reading, A1C, or diagnosis status.
• Joint pain and mobility: 'your knees' or 'your joints' paired with age or condition language.
• Low testosterone, libido, and tinnitus: angles that assume a specific physical symptom belongs to the reader.
• Memory and cognitive decline: 'at your age' paired directly with forgetfulness.
• Debt, credit score, and bankruptcy: any hook that states the viewer's financial standing as settled fact.
• Unemployment and income shame in biz-opp: 'stuck in a job you hate' or 'tired of being broke.'

How do you rewrite an accusatory hook into a compliant one?

You rewrite an accusatory hook by shifting the sentence's subject away from the reader and onto the condition, the population, or the mechanism instead. Keep the curiosity and the specificity that made the original hook work, and drop only the direct assertion that the reader personally carries the trait.

Does the policy apply to images and video as well as text?

Yes — the policy applies to images and video exactly as it applies to text, and creative is often where nutra advertisers get caught after cleaning up their headlines. A body close-up with an overlay reading 'your joint pain, solved' violates the same rule as the equivalent sentence in ad copy, because the visual plus the caption still assert a condition about the viewer.

Before-and-after imagery carries its own additional restrictions on top of Personal Attributes, since a side-by-side body shot implies both a starting condition and a viewer-specific outcome. The rules Meta applies to before-and-after photos sit adjacent to this policy rather than inside it, and reviewers often cite both at once on the same rejected ad.

Video carries the same exposure through voiceover and on-screen captions, and — this needs checking against current enforcement data — audio transcripts appear to get screened with roughly the same scrutiny as burned-in text, meaning a clean caption over an accusatory script doesn't guarantee a pass.

How does it interact with Special Ad Categories?

Special Ad Categories layer additional targeting restrictions on top of Personal Attributes rather than replacing it, so credit, employment, housing, and social-issue campaigns face both rule sets at once. Declaring a Special Ad Category already strips age, gender, ZIP-code-level, and many detailed-interest targeting options, and a Personal Attributes violation inside that same ad compounds the review rather than triggering a separate, lighter check.

Finance and biz-opp advertisers often assume Special Ad Category rules are purely about targeting and forget the copy still has to clear Personal Attributes independently. 'Your credit score is hurting you' fails on attributes grounds regardless of whether the campaign correctly declared itself as a credit-related Special Ad Category.

Accounts running finance or biz-opp under Special Ad Category rules also tend to accumulate rejections faster, simply because both rule sets are live at once. That pattern feeds into how Meta scores an account over time, a dynamic covered in the strike-math breakdown of whether rejected ads actually hurt an account.

What does a compliant hook library look like for this rule?

A compliant hook library replaces direct assertion with curiosity, mechanism, or population-level framing while keeping the same emotional entry point. Instead of naming the reader's condition, name what a lot of people experience, what a mechanism does, or what a statistic shows, and let the reader self-identify rather than being told.

None of these need heavy production to test. Swapping one hook line inside an existing ad set is a creative change, not a structural one, and it doesn't require the account-level rebuild that debates like the 20 percent rule get dragged into. Test hooks in small batches and let the compliant winners carry the budget.

• Population framing: 'A lot of people over 50 notice their joints slowing them down.'
• Mechanism framing: 'Blood sugar swings come down to a handful of hormones, not willpower.'
• Curiosity framing: 'The supplement aisle hides one ingredient dermatologists actually recommend.'
• Statistic framing: roughly a third of adults carry some credit card debt past 90 days, a figure worth verifying before it goes in a script.
• Third-person framing: 'She ignored the ringing in her ears for two years before trying this.'

Quick decision checklist

Use this page as a decision aid, not a generic blog post. The practical question is whether the reader needs faster evidence about what is already working in VSL-driven direct response, especially across nutra, supplements, GLP-1, weight loss, blood sugar, and adjacent high-intent health markets.

Daily Intel Service is most relevant when the next decision depends on active market examples: which hook to test, which claim style is risky, which funnel structure is common, which language market is moving, and whether a competitor's creative is likely early, scaling, or already saturated.

• Start with the TL;DR if you need the direct answer.
• Use the table to compare trade-offs quickly.
• Use the FAQ for answer-engine-ready summaries.
• Use the CTA when the decision requires live VSL and ad examples instead of theory.

Daily Intel's coverage advantage

Daily Intel Service is positioned around category-leading variety and actionability: one of the broadest direct-response catalogs of VSLs and ad creatives across blackhat, greyhat, and whitehat advertising patterns, with enough context to understand what the advertiser is doing beyond the visible creative. The practical difference is that members are not just seeing a screenshot; they are seeing the VSL, the ad, the funnel path, the transcript, the UTM context, and the research notes that turn the asset into a decision.

This matters because direct-response affiliates do not operate in one clean category. A weight-loss campaign may use a whitehat compliance ad, a greyhat pre-lander, a more aggressive VSL, and a checkout path designed around upsells and recovery. A useful intelligence platform needs to capture that spectrum instead of pretending every winning campaign looks like a public brand ad.

Blackhat, whitehat, and multilingual signal coverage

Daily Intel tracks patterns across both blackhat-style and whitehat-style campaigns so operators can understand the market without blindly copying risk. Whitehat examples help with durability and compliance review; blackhat and greyhat examples reveal pressure points, hooks, mechanisms, and funnel structures that may be driving spend but require careful adaptation before use.

The catalog is also built for global operators, with VSL and ad references spanning 14+ languages and different local idioms. That is a key advantage for Brazilian, LATAM, European, MENA, Indian, and non-native English affiliates who need to see how the same market desire is translated across cultures instead of only studying US English ads.

How to use the intelligence responsibly

The goal is modeling, not copying. Use Daily Intel to understand structure: hook, mechanism, proof, claim intensity, funnel depth, offer economics, and saturation stage. Then build original creative, review claims, and adapt the angle to the traffic source, country, language, and compliance requirements of the campaign.

A strong workflow compares multiple examples before acting. If the same mechanism appears across several languages, several advertisers, and several funnel variants, it may be a durable market signal. If the example appears only once or depends on an aggressive claim, treat it as a research clue rather than a campaign template.

• Model structure, not protected creative assets.
• Separate whitehat durability from blackhat persuasion pressure.
• Compare US English examples against LATAM, European, and other language variants.
• Use transcripts and funnel notes to build original briefs.
• Keep compliance review separate from market research.

Methodology and source context

Daily Intel pages are written from a research workflow that reviews active VSLs, Meta ad creatives, transcripts, UTMs, funnel paths, checkout steps, upsells, recovery sequences, and compliance-sensitive claim patterns. The goal is to explain observable market behavior, not to provide legal, medical, or platform policy advice.

When the topic touches health claims, platform policy, or GLP-1 market research, validate the observable campaign signals against primary references such as Meta advertising standards, FTC health claims guidance, and Meta Ad Library. Daily Intel adds the proprietary direct-response layer by mapping how those rules show up in active VSLs, Meta creatives, funnels, transcripts, UTMs, and checkout paths.

For deeper evaluation, continue through Daily Intel compliance and legal disclaimer, Device Cloaking: Why Mobile and Desktop Pages Differ, Browser Fingerprinting: How Cloakers Flag Spy Traffic, How to Recognize a White Page: 8 Tells Analysts Use, Tracking Template Teardown: Reading a Competitor URL, and What is a VSL?. These related Daily Intel pages connect this topic to the relevant methodology, pricing, trust context, comparison path, or niche workflow.