Prompt
How do I ensure my promotional messaging with a shopping assistant is compliant with retail marketing rules?
Latest observation
To keep promotional messaging from a shopping assistant compliant with retail marketing rules, build in clear disclosure, accuracy, consent, and control at every step.
Key practices
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Always identify promotional content
- Clearly label ads, offers, sponsored products, and affiliate recommendations.
- Don’t make promotional messages look like neutral shopping advice.
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Be truthful and specific
- Prices, discounts, availability, and deadlines must be current and accurate.
- If a claim is limited by size, location, membership, or quantity, say so.
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Disclose material relationships
- If you earn commissions, receive incentives, or prioritize paid placements, disclose that plainly.
- Keep disclosures close to the recommendation, not buried in terms.
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Use consent appropriately
- Get permission before sending marketing messages by email, SMS, push, or chat where required.
- Honor opt-out requests immediately and don’t keep retargeting after someone unsubscribes.
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Avoid deceptive urgency or scarcity
- Don’t fake “limited stock,” countdowns, or “last chance” alerts.
- Only use urgency if it’s verifiable.
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Respect audience protections
- Apply extra safeguards for children, regulated goods, and sensitive categories.
- Don’t target or personalize in ways prohibited by local law.
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Provide easy controls
- Let users distinguish promotions from recommendations.
- Offer settings to mute promos, adjust preferences, or stop marketing entirely.
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Keep records
- Log consent, message versions, offer terms, timestamps, and source data for claims.
- This helps prove compliance if challenged.
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Review local rules
- Follow the laws and platform policies that apply where the customer is located.
- Common regimes include FTC/consumer protection rules, CAN-SPAM, GDPR/ePrivacy, and local advertising standards.
Simple compliance checklist for each promo
- Is it clearly labeled as promotional?
- Are claims accurate and current?
- Are terms and exclusions visible?
- Do we have the right consent to send it?
- Is there a working opt-out?
- Are disclosures near the recommendation?
- Is the audience allowed to receive this kind of promotion?
- Is there an audit trail?
If you want, I can also help you create a compliant promo-message template or a policy checklist for your shopping assistant.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.