Review Freshness Analyzer

Review recency is a critical trust factor that most merchants overlook. Research shows that 85% of consumers consider reviews older than 3 months to be irrelevant, and 40% will only consider reviews written within the last 2 weeks. A product page showing reviews from 6 months ago sends a signal that either nobody is buying the product or the store does not care about collecting feedback.

This analyzer evaluates the age distribution of your reviews across your catalog and flags products where freshness is likely hurting conversion. It helps you identify which products need immediate review collection attention and estimates the conversion impact of improving review recency across your store.

If more than 50% of your reviews are older than 3 months, you have a freshness problem. The fix is usually a combination of better post-purchase email timing and more frequent review collection campaigns. Seasonal products need special attention — a winter coat with only summer reviews looks neglected.

Eevy AI can help with the display side of freshness by testing whether showing the most recent reviews first or the most helpful reviews first converts better for your audience. The genetic algorithm may find that a mix — one recent review followed by highly-rated older reviews — outperforms either extreme.