I'd pay a lot more for an Amazon product's 5th review than its 100th. That's how
By Robinlobo · October 17, 2026 · Curated by George's Blog
I'd pay a lot more for an Amazon product's 5th review than its 100th. That's how I'd approach Amazon's Review Requests ads.
The option to advertise review invitations to recent buyers could be useful for a new listing. But Amazon's eligibility limit of 1,000 ratings and reviews is much higher than the point where I'd start questioning the spend.
The first 20 reviews are where I'd put the most value, especially the first 5-10, where I expect much of the conversion lift to happen. By around 50-100, you're mostly matching competitors and protecting your star rating. Another review can still help, but I wouldn't keep paying the same amount for it.
Products stuck at 3.9-4.1 stars are also worth a look. Prompted reviews can skew positive, so getting above 4.2 is an outcome I'd test for. The rating needs to improve, and that improvement needs to actually help conversion.
For me, the budget comes down to how much additional profit the next review could generate.
Estimated conversion lift × expected sessions over a defined period × contribution margin per unit.
That gives me a breakeven amount to compare with the cost of getting another review. As the conversion lift gets smaller, the amount I'm willing to pay should fall too.
Before increasing spend, I'd check:
- How many ratings and reviews the product normally gets each week, and where its star rating is heading.
- Unit Session Percentage and return rate, alongside a similar ASIN that isn't in the campaign.
- Cost per incremental rating or review, dividing spend by the number collected above the expected baseline over the same period.
Counting every review that arrives during the campaign would make the results look better than they are. Some would've come in anyway.
I don't think ROAS is a useful way to judge this. A review can help convert shoppers who arrive months later and never saw the ad. The incremental cost still needs to stay below the estimated profit those reviews create.
I'd start small. Wouldn't raise the budget just because reviews are coming in faster.