
Sign up to save your podcasts
Or


Most product data enrichment projects start the same way.
Which sounds like the right move but it’s usually why nothing improves.
In this episode, we break down why enriching products one-by-one (based on sales) leads to broken filters, patchy categories, and a frustrating customer experience.
We also share the approach we see actually working.
If your enrichment project isn’t moving the needle, this will explain why.
Episode Breakdown
00:00 – Why most enrichment projects start with bestsellers
01:10 – The problem with product-by-product enrichment
03:30 – How customers actually shop (and why this matters)
05:00 – What broken filters and facets look like in practice
06:30 – Why patchy data is worse than no data
08:15 – The category-led approach (what works instead)
10:30 – Real example: why nothing improved… then everything did
13:50 – How to choose your first category
By Ben AdamsMost product data enrichment projects start the same way.
Which sounds like the right move but it’s usually why nothing improves.
In this episode, we break down why enriching products one-by-one (based on sales) leads to broken filters, patchy categories, and a frustrating customer experience.
We also share the approach we see actually working.
If your enrichment project isn’t moving the needle, this will explain why.
Episode Breakdown
00:00 – Why most enrichment projects start with bestsellers
01:10 – The problem with product-by-product enrichment
03:30 – How customers actually shop (and why this matters)
05:00 – What broken filters and facets look like in practice
06:30 – Why patchy data is worse than no data
08:15 – The category-led approach (what works instead)
10:30 – Real example: why nothing improved… then everything did
13:50 – How to choose your first category