Community, Reviews and Moderation Policy

MyCleverly community features exist to support learning, constructive feedback, professional discussion, and creator-learner communication. Users must communicate respectfully and follow the Acceptable Use Policy.

Creators should respond to questions honestly and professionally. Learners should review courses based on genuine experience and avoid harassment, spam, or extortion.

Reviews must be honest, relevant, and based on real experience with the course, creator, live session, ebook, quiz, or product. Reviews may not be fake, paid, coerced, retaliatory, defamatory, spam, or posted by someone with an undisclosed conflict of interest.

MyCleverly may remove, label, reduce visibility of, or investigate reviews that appear manipulated, irrelevant, abusive, unlawful, or inconsistent with platform rules.

Marketplace ranking may consider relevance, keywords, category, language, price, rating, review quality, enrollment, completion, refund rate, freshness, creator reliability, policy compliance, personalization, advertising, and testing.

Sponsored or promoted placements should be labeled where required. MyCleverly may adjust ranking to protect users from low-quality, misleading, unsafe, illegal, or policy-violating content.

Users can report illegal content, copyright infringement, fraud, fake reviews, harassment, privacy violations, unsafe courses, child safety concerns, AI misuse, or other policy issues by contacting support@mycleverly.com.

MyCleverly may remove content, restrict access, add warnings, age-gate content, suspend accounts, reduce visibility, block payments, withhold payouts, revoke certificates, or notify users when a decision materially affects their content or account.

Users and creators may appeal moderation decisions by contacting support@mycleverly.com with the subject Moderation Appeal. Include the decision, account email, content URL, explanation, and supporting evidence.

Appeals should be reviewed by a person or team not solely relying on the original automated signal where feasible. Repeated abusive appeals may be limited.