How to Set Up Review Moderation Rules

As your review volume grows, manual moderation becomes unsustainable. Reading every review, checking for spam, verifying content quality, and deciding whether to publish — this process that takes five minutes a day with 10 reviews takes an hour a day with 100. Automated moderation rules handle the routine decisions so you only spend time on the edge cases that genuinely need human judgment.

Beyond efficiency, automated rules ensure consistency. When moderation depends on whoever happens to check the dashboard, standards drift. One team member publishes a borderline review, another rejects a similar one. Automated rules apply the same criteria to every review, every time. This consistency protects your brand — you never accidentally publish a review with inappropriate content or spam links, and you never accidentally reject a legitimate review that could help convert shoppers.

The most effective moderation setup uses a tiered approach: auto-approve reviews that meet clear quality criteria (verified purchase, three stars or above, minimum word count), auto-reject reviews that trigger spam signals (suspicious links, profanity, competitor mentions), and flag everything in between for manual review. This means 60-80% of reviews are handled automatically, and your manual effort is focused on the 20-40% that need human judgment.