Use Tags
Tag Products and Keywords to organize your catalog and target dashboards, Alerts, and Sherlock at any slice.
Tags are labels you attach to Products and Keywords so you can group, filter, and target them everywhere DataHawk reports. Every Product or Keyword can carry as many tags as you need, and tags work whether the item is tracked or untracked.
Tags apply to both tracked and untracked Products and Keywords, useful for organizing your catalog before you decide what to track.
Why use tags?
Tags become useful as soon as you have more than a handful of products or keywords. Concrete payoffs:
- Filter dashboards down to a meaningful slice: E.g. Only your
Top Performerproducts, or onlycat:HomeCarekeywords. - Scope Alerts to a group: Get pinged only when your premium SKUs lose Buy Box, instead of for every product.
- Slice ad performance by your own categories: Without having to restructure how things are organized in Amazon Seller Central.
- Surface the right context in Sherlock: When triaging an anomaly, your tags help you see which part of the catalog is affected.
Three types of tags
DataHawk gives you three flavors of tags. They cover different needs and can coexist on the same Product or Keyword.
| Type | Who creates them | When attached |
|---|---|---|
| Automated | DataHawk | Automatically, based on what we know about the item |
| Preset | DataHawk (curated list) | When you pick one from the suggested list |
| Custom | You | Whenever you add or edit a Product or Keyword |
Automated tags
DataHawk attaches these automatically based on what it knows about the item. You can't create or remove them. They reflect reality.
- FBA: Fulfilled by Amazon
- Prime: Prime-eligible
- Vendor: Sold by Amazon
- Tracked: Currently monitored in your workspace
- ASIN: The product's ASIN identifier
- Variation: Belongs to a parent/child variation family
- Owned Tags: Tags found in your Seller Central or Advertising Account, mirrored into DataHawk
Preset tags
DataHawk ships with a curated list of tags covering common needs. Use these when you don't want to invent your own naming.
- Direct Competitor
- Threat
- New Entrant
- Top Performer
- Short Tail / Mid Tail / Long Tail
- Low Volume / Medium Volume / High Volume
- Low Competition / Medium Competition / High Competition
- Core Keywords / Ancillary Keywords
Custom tags
You define them. The most frequently used ones surface as suggestions when you tag new items.
Common examples:
- Brand name
- Product category
- Marketing segment
- Supplier
- Internal SKU family
Structuring tags for scale
Once you have more than a few dozen tags, flat tag lists become hard to filter. DataHawk's tag field is a single string, but you can encode dimensions and hierarchies directly inside the tag name to keep things scalable.
Dimension prefixes (grouping tags)
Use a prefix:value format so every tag self-identifies which dimension it belongs to.
Format: [dimension]:[value]
Examples:
- Product category:
cat:HomeCare - Product group:
pg:Vacuum Cleaner - Product color:
color:Red
This makes filtering simple and consistent; search for cat: to see all category tags, pg: for all product groups, and so on.
Hierarchies (sub-levels within a dimension)
Use / to represent sub-levels within a dimension.
Format: [dimension]:[level1]/[level2]/…
Examples:
cat:HomeCare/Allcat:HomeCare/Accessorycat:HomeCare/Vacuum/Cordless
Formatting rules (recommended)
- Always include the dimension prefix (
cat:,pg:,color:etc.) - Keep prefix casing consistent: Convention is lowercase prefixes.
- No spaces around
/separators. - Trim trailing/leading whitespace before saving.
Adding tags
There are three ways to attach tags to Products or Keywords. Pick the one that matches your situation.
When you add a new Product or Keyword, you can attach tags in the same flow.
- URL or ASIN entry: you'll see a Tags field in the last step of the tracking process before clicking Add.
- CSV import: add an optional Tags column and separate multiple tags with semicolons (
;). Entries are case-sensitive.
See Track Products or Track Keywords for the full setup flow.
Useful when you're triaging a single SKU and want to add an On Watch or cat:NewSegment tag on the fly.
Open the items list
Go to Sources → Products or Sources → Keywords.
Pick the item to retag
Click the row of the item you want to update.
Edit the Tags field
Type new tags or pick from the suggestions DataHawk surfaces.
Save
Click Save to apply the change.
Recommended when you need to retag dozens or hundreds of items at once.
Open the tags importer
Navigate to Sources, scroll to Product Tags or Keyword Tags, and click + Add.
Pick the right CSV template
- Template CSV: Blank, pre-formatted file. Use this if you're starting fresh.
- Product/Keyword Catalog & Tags CSV: Pre-filled with your existing tagged items. Use this when updating tags you've already set. Note: This template does not include untagged items.
Fill in the template
Each row corresponds to one Product or Keyword. Add the relevant tags in the Tags column, separated by semicolons (;). Entries are case-sensitive.
Upload the file
Upload the completed CSV. DataHawk will validate it and flag any rows with errors.
Fix any flagged errors
Use the in-app Find and replace to fix bad rows quickly.
Choose the import mode
- Add New Only: Adds the tags in your file without touching tags already on each item. Safe default.
- Replace Matching: For items that appear in your file, replaces their existing tags with the ones in the file. Items not in the file are untouched.
- Replace All, wipes the existing tag set and replaces it with what's in your file. Destructive, be sure before running this.
Confirm
Click Add Product Tags or Add Keyword Tags to finalize.
After a tag upload, it can take up to 24 hours for the updated tags to surface in dashboards and downstream tools.
Manage tags
To rename, merge, or delete tags across your workspace, open the Tag Management module: click View Tags in the Sources header.
From the module you can:
- Add a new tag without attaching it to anything (useful for setting up a taxonomy in advance).
- Edit an existing tag's name: Assignments follow the rename.
- Remove a tag entirely from the workspace.
Tagging rules and limits
- Case sensitivity: tags are case-sensitive (
HomeCareandhomecareare two different tags). - Max tags per item: TBD: Confirm with support if you expect to attach more than ~50 per item.
- Tag name length: TBD.
- Allowed characters: TBD. The
prefix:value/sublevelpattern documented above works in practice; confirm whether other special characters are accepted.
How tags show up downstream
Tags propagate to every part of DataHawk where you can filter or scope:
- Dashboards (Power BI, Looker Studio): Every standard dashboard has a Tags filter. Apply one or more tags to narrow the view.
- Alerts: When creating an Alert, the recipient/scope picker lets you target items by tag instead of one ASIN at a time.
- Sherlock: Case-study triage groups items by their tags so you see catalog patterns rather than individual products.
- Data layer (Snowflake / BigQuery):