Case studies

Proof, in the numbers.

We diagnose D2C stores from their public data alone. Each store below was diagnosed; the diagnosis itself stays private to the brand. What’s public is the aggregate proof.

0
Case studies
Public data, cited sources
0
Distinct niches
Beyond the D2C baseline
0
Catalog variants measured
Out-of-stock denominators, sum
0%
Public data
No internal data. No estimates.

Diagnosed stores120 companies

each opens a private agent page

Method

01

Catalog feed

The storefront’s own catalog feed.

02

Reviews & policies

The brand’s review platform (their public API) and their published policy pages.

03

Ad transparency

The ads they run on Meta’s ad transparency tool.

Where the data comes from: the storefront’s own catalog feed, the brand’s review platform (their public API), the ads they run on Meta’s ad transparency tool, and their published policy pages. Everything is cited to its source, and every number carries the date we pulled it. No internal data, no estimates passed off as fact.

More stores as engagements complete. Questions? karthik@kardata.co

Case studies