UGC content — customer photos and videos — needs different moderation rules than text reviews. Photos can contain inappropriate content, brand-damaging imagery, or completely unrelated images. Videos have the same risks plus audio concerns. But overly aggressive moderation creates bottlenecks that delay your best social proof content.
The optimal approach uses tiered auto-approval: customers who have previously submitted approved UGC get auto-approved for future submissions (they have proven trustworthy). First-time UGC submitters go through a quick manual review. Photos from verified purchases get priority in the moderation queue.
For photo moderation, check for: product relevance (is the product actually visible?), image quality (is it usable for display?), and appropriateness (no explicit content, personal information, or competitor products). For video, add an audio check for offensive language.
Eevy AI supports UGC moderation workflows that let you quickly approve or reject customer photos and videos. Approved content immediately enters the genetic algorithm optimization pool, where it is tested in different display positions and formats to find the highest-converting placement.
Key Takeaways
- Auto-approve UGC from customers with previously approved submissions
- Route first-time UGC submitters through manual review
- Prioritize verified-purchase UGC in the moderation queue
- Check photos for product relevance, quality, and appropriateness
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