Product Feed Audit

Product feed audits that show what to fix first

Grade catalogue and channel output quality, identify blocking errors and prioritise the data improvements most likely to reduce rejection or wasted feed coverage.

A feed audit should separate errors from opportunities

Blocking errors, invalid identifiers and missing required values are different from optimisation opportunities such as weak titles or thin product types. Treating them as one list makes prioritisation harder.

Audit the source and output separately

A clean source file can still become a weak channel feed because of mapping, transformation or destination rules. Feednetic grades the stages separately so teams can see where quality changed.

Look for patterns, not just individual rows

The useful output of an audit is often a repeatable rule. If 8,000 titles share the same structural weakness, the solution is a transformation pattern, not 8,000 manual edits.

Use the audit as a baseline

A before-and-after grade gives the team evidence that the feed changed materially and helps prevent the same issues returning after future source updates.

Example problems and fixes

Problem
Typical source value
Feednetic solution
Weak title
Trainer black
Build a structured title from brand, product type, colour and variant fields.
Missing identifier
blank or N/A
Join trusted manufacturer or supplier data and validate rather than inventing a GTIN.
Inconsistent stock
yes / 1 / available
Map source values into a controlled availability vocabulary for each destination.