Free Amazon Revenue Risk Report: your levers scored from public Amazon data

Analyze your brand
Revenue Risk Report

Part 1

Start with the weakest lever the report names

Do this first

  1. Read the lever the report names weakest, and the signal behind it in the table below.
  2. Replace the default units and price with your own from Business Reports for a sharper dollar figure.
  3. Ratings weakest? Count the 5-star reviews a fix takes in the Star Rating Calculator.
  4. Sales already fell? Run the Sales Drop Diagnostic on your Seller Central numbers.
LeverWeightWhat it reads
Operations22Share of the last 30 days you held the Buy Box, and time out of stock
Pricing22Price within its own 90-day range, the monthly move in average selling price, discount against list, and seller count
Assortment14Listings in the variant family, and how many carry reviews and the Buy Box
Visibility20Best Seller Rank trajectory over 90 and 30 days
Ratings22Current rating, its 30 and 90 day move, and review velocity

The headline Flywheel Score (0 to 100) is the weighted mean of the levers it could measure. With fewer than 3 measured, it shows the levers without a headline score.

Part 2

How the dollars are calculated, and the limits

  • Revenue at risk = units × price × the conversion lost between the old and new rating. Units default to Amazon's monthly-sold estimate and price to your Buy Box modal price.
  • Conversion peaks around 4.5 stars and declines toward 5.0, from Spiegel Research Center's 2017 study1 and Pattern's Amazon analysis.2 The Star Rating Calculator uses the same index.
  • Buy Box loss assumes competing sellers capture 40% of sales in the windows you don't hold it. The rest splits between loyal direct buys, off-Amazon purchase and no purchase.
  • Limits: the estimates are observational, and lift varies by category, price point and competition. Products under 25 reviews sit in the Watch List outside the brand score, and the score caps at "At Risk" when it finds an active rating drop or a lost Buy Box.

Sources

  1. Spiegel Research Center, Northwestern University Medill (2017). How Online Reviews Influence Sales. Built with PowerReviews data, not peer-reviewed. Link
  2. Pattern (2019-12-06). Pattern Analysis on Amazon Star Rating Featured in New York Times, Buzzfeed. Link

Now find out
what's driving it.

The Revenue Risk Report reads one ASIN or seller from public Amazon data. The free first month shows the whole business: your own exports from every channel, each likely cause tested, and the fixes ranked with an owner and a date.

  • ✓ Built from your own exports, never a login
  • ✓ Every channel added up before any one is explained
  • ✓ Each cause tested and marked ruled out or open
  • ✓ A reply within 1 business day, the report within 5 business days of your exports
  • ✓ Your data is used only for your report, and never shared
Built by Oliver Silen, 7 years at Amazon, and An Luong, formerly of Walmart Labs and Masan Group. About us.
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