Find and replace
Rename a tag everywhere it appears, with exact or partial matching, and a preview of affected record counts before anything is written.
Find and replace across product, customer and order tags, merge duplicates and misspellings, add or remove by filter, schedule recurring jobs, move tags in and out by CSV, and undo the last bulk action.
Tags accumulate. Three people spell the same brand four ways, a supplier import adds its own conventions, and a year later your collection rules and filters miss half the catalog. Tag Toolkit works on tags in bulk rather than record by record. Search across products, customers and orders, see how many records carry each tag, then merge, rename, add or strip in one job. If the result is wrong, the last action can be reversed.
Rename a tag everywhere it appears, with exact or partial matching, and a preview of affected record counts before anything is written.
Apply or strip tags across any filtered set: a collection, a vendor, a date range of orders, or customers above a spend threshold.
The app groups near-identical tags by case, spacing, hyphens and common misspellings, so you can collapse them into one canonical value.
A full tag inventory with usage counts and orphan tags used by nothing, so you can see the real shape of your tagging before restructuring it.
Run a recurring tagging job, for example tagging products that dropped below a stock level or customers who crossed a spend band.
Export current tags, edit in a spreadsheet, import the corrected file, and roll back the most recent bulk action if the result is wrong.
Open the tag inventory to see every tag in use across products, customers and orders with counts.
Select the records or filter you want to act on, then choose add, remove, replace or merge.
Review the preview showing exactly how many records change and what the resulting tags will be.
Run the job in the background. Check the result, and undo the action if something looks wrong.
Automated collections built on tag rules only work when the tags are consistent. Cleaning them puts missing products back in front of shoppers.
Storefront filtering built on messy tags shows duplicate options and empty results, which reads as a broken store to a first-time visitor.
A retag that would take a merchandiser two days of clicking runs as one job, so seasonal restructuring stops being postponed.
Customer and order tags feed marketing segments and Flow automations. Consistent tags mean campaigns hit the audience you intended.
[PRICE] per month. Product tag inventory, find and replace, bulk add and remove, and undo on the last action.
[PRICE] per month. Adds customer and order tags, duplicate merging, CSV import and export and larger job sizes.
[PRICE] per month. Scheduled recurring jobs, multi-store, taxonomy reporting, API access and cleanup support from our team.
Order Tag Rules applies tags automatically to new orders based on conditions you define. Tag Toolkit is manual and retrospective: it cleans and restructures tags that already exist, across products, customers and orders. One keeps data tidy going forward, the other fixes the backlog.
The most recent bulk action can be undone, restoring the previous tag state on the affected records. Older actions are not rolled back automatically, so export a CSV backup before any large restructuring job. Preview counts exist for the same reason.
Jobs run in the background against the Admin API and are paced to stay inside rate limits, so the storefront is unaffected. Very large jobs take longer rather than running harder, and you can keep working while they process.
Yes, and that is a common use. Migrated catalogs usually arrive with attribute values converted into tags in inconsistent formats. If you are planning the move, see our Magento to Shopify migration service.
We will audit your current tags and plan the merge order before anything is changed in bulk.