The first filter you should never use is Sales Rank Drops. Sales Rank Drops DO NOT equal the number of sales. In this first image, I found a shoe with Sales Rank Drops equaling 3 over the past 30 days. It's a shoe with a BSR under 25 for the last 30 days.

In this second image, I found a shoe with Sales Rank Drops equaling 3 over the last 30 days. It's also a shoe with a BSR averaging over 4,000,000 during the last 30 days.

Sales rank drops are not meant to be deceiving. But, they are a bad metric to use for sales velocity. Rather, you need to learn to read the "EKG" of the heartbeat of a Keepa graph.

The second KPF filter you should NEVER use? Bought in the past month. I set up filters to show all ASINs with a 30-day average BSR under 1,000 AND a current BSR under 5,000. KPF gave me 405,000+ results. These are all ASINs that should be moving serious volume.

When I add in the "Bought in the past month" filter to show up to 100,000 sales in the past month it drops the number of results precipitously. 170,550 results, to be exact. This leaves hundreds of thousands of ASINs that sell very well out of your filters.

Again, this is not a nefarious act. It's just that the data: - isn't shared across all ASINs - isn't always accurate even though it comes from Amazon So, if you use these filters I would suggest either stopping or being very careful with them.

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@cleartheshelf This is a great thread, starting out I used to think rank drops = sales 😬

@GanimCorey Everyone does.

@cleartheshelf Being skilled at Keepa is what separates average from great sellers

@cleartheshelf Do you select “show only one variation per product” or do you prefer to see all sizes/variations?

@ATUNNN___ I prefer to see all.