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Field normalization

Feature · Ingest & catalog

Clean fields, on entry.

Not after the fact.

Sources bring their own habits - inch marks in titles, shouting caps, mixed currencies, stray encodings. Field normalization standardizes values as data enters the catalog, so every rule and channel downstream starts from consistent fields.

The difference

Standardized on entry vs. cleaned up later

Without GoDataFeed

  • Every source arrives with its own formats
  • The same cleanup rule gets rebuilt per feed
  • Encoding artifacts surface as channel errors
  • Downstream rules fight inconsistent inputs

With GoDataFeed

  • Values standardize as they enter the catalog
  • Cleanup logic lives once, not per feed
  • Encodings and characters resolve before channels see them
  • Every downstream rule starts from consistent data

See it work on your own catalog.

Run a free feed audit

How it works

Units, casing, encodings and currencies standardized on entry.

Benefits

One cleanup, catalog-wide

Standardization applies to every product that matches, on every import.

Fewer channel errors

Malformed values get corrected before validation ever sees them.

Readable listings

Titles and descriptions arrive in retail case, not database case.

Stable rules

Downstream logic reads consistent values instead of guessing formats.

Portable sources

A new source's quirks get normalized the same way as the last one's.

Less rework

Cleanup persists across imports instead of being redone.

Capabilities

Value standardization

Units, currency formats and measurements normalize to consistent forms the whole catalog shares.

Casing and character cleanup

ALL-CAPS titles, stray HTML and encoding artifacts get corrected by rule instead of by hand.

Consistent inputs downstream

Rules, templates and validation all work better when the fields they read are predictable.

Feature · Ingest & catalog

Product Data Normalization | GoDataFeed

Standardize units, casing, currencies and encodings as data enters the catalog - one set of cleanup rules that runs on every import.

Field normalization

Field normalization is stage one

of six.

Standardize units, casing, and encodings.

Every feature works from the same catalog. This is where it enters - and everything downstream inherits what lands here.

Questions

Feature · Ingest & catalog

What kinds of values get normalized?

Units, currencies, casing, encodings and character-level artifacts - the formatting drift that creeps in from different sources.

Does this change my store data?

No. Normalization applies inside GoDataFeed - the source systems stay untouched.

Does it run on every import?

Yes. Standardization is rule-driven, so it applies each time the catalog imports - new products included.

Start clean. Stay clean.

Start a 14-day trial or book a demo — we'll audit your feed free and show you your diagnostics baseline.

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Also in the box

Everything the monitoring loop

needs.

Alerting

Eligibility drops and sync failures to email or Slack, thresholds yours.

Feed history

Every published version diffable — what changed, when, by which rule.

Pre-submission validation

The same rulebook checks, run before publishing instead of after.

Error playbooks

Each channel error mapped to its fix, linked from the row.

Scheduled reports

Weekly eligibility digest per store, for the people who don't log in.

API access

Diagnostics data in your own BI, if that's where your team lives.