What we look for
Duplicate or near-duplicate products, orphaned categories, inconsistent attribute naming, empty or malformed fields, and legacy custom fields that no longer map to anything meaningful. We flag what we find and agree with you on what to fix, merge, or drop.
Mapping, not guessing
Every source field gets an explicit mapping to a target field — or an explicit decision that it doesn't map and needs a different home (a custom field, a tag, or nowhere). We document this mapping so it's auditable, not a black box.
Why this matters before launch
Cleaning and mapping data before migration is far cheaper than fixing it after launch, when customers and search engines are already relying on it. Skipping this step is one of the most common reasons migrations run into trouble later.
Frequently asked questions
Will you delete data without asking me?
No — we flag what looks like a problem and agree on the action with you before anything is merged or removed.
Can you deduplicate products across multiple old imports?
Yes, this is one of the more common cleanup requests — legacy stores that went through several supplier feed imports over the years often have real duplicates.
Do you handle custom fields with no clear purpose?
We investigate what a field was likely used for (based on data patterns and, where possible, your input) before deciding whether to map, repurpose, or retire it.