Listing rejections are expensive because they are discovered at the far end of the process. In Pimberly, products are run against the destination’s own rules and returned with two scores: listing readiness, reflecting what will stop a product being listed at all, and content quality, which will not block a listing but shows where the data is thin. Data, content and asset readiness each filter down to the products needing work, and values can be corrected from the same view.
With Pimberly’s pre-flight checks, you can:
- Score products against listing readiness and content quality, rules specific to each destination
- See what will block a listing outright, versus what’s just a recommended improvement
- Adjust the scoring metrics and weighting where a channel demands it, rather than relying on the defaults alone
- Filter the grid to missing required data, conditionally required data, or recommended changes, and jump straight to the products that need work
- Correct values from the same view where the gap was identified
- Check that every product’s assets meet the destination’s own image requirements, since specs differ by marketplace
See how it works in the video below:








