STAT (formerly Getstat) offers two ways to tag keywords: you can manually apply standard tags through the interface or set up dynamic tags that automatically populate based on filter rules. There is no dedicated “tag upload” file format, but you can tag keywords in bulk directly within the platform using its filtering and tagging tools.
Standard Tags vs. Dynamic Tags
Before you start tagging, it helps to understand the two tag types STAT offers, since they work very differently.
Standard tags are static labels you manually assign to keywords. They group keywords by shared characteristics like brand terms, product categories, locations, or device types. The keywords in a standard tag stay put unless you manually add or remove them. Think of these like folders you sort files into yourself.
Dynamic tags work like smart playlists. You set filter criteria, and STAT automatically populates the tag with every keyword that matches. As your SERP data changes day to day, keywords filter in and out of the tag on their own. This is useful for segments based on volatile data, like “all keywords ranking on page one with search volume over 500,” where manually keeping up with daily fluctuations would be impossible.
How to Tag Keywords in the STAT Interface
The fastest way to apply tags to existing keywords is through the Keywords tab at the site level. Here is the step-by-step process:
- Navigate to the site you want to work with and open the Keywords tab.
- Click the down arrow on any table column header and select Filter keywords.
- Set your filter criteria. You can choose from pre-populated options or enter your own metrics. For example, you could filter by keywords containing a specific word, keywords above a certain search volume, or keywords ranking in a particular position range.
- Once your filtered list shows the keywords you want to group, click Tag All Filtered Keywords.
- Enter a tag name and choose whether to create a standard or dynamic tag.
If you choose standard, STAT takes a snapshot of those filtered keywords and locks them into the tag. If you choose dynamic, STAT saves the filter rules themselves, so the tag’s keyword list will automatically update whenever data changes.
Bulk Tagging Large Keyword Sets
STAT does not have a standalone CSV upload feature specifically for tags. Instead, bulk tagging is handled through the filtering workflow described above. If you need to tag hundreds or thousands of keywords at once, the approach is to use filters that capture the right group in one pass.
For example, if you want to tag all keywords containing “running shoes,” filter the keyword column for that phrase, then tag the entire filtered set at once. You can combine multiple filter conditions to get precise. Dynamic tags are especially efficient here because you define the rules once and never have to revisit them.
If your tagging logic is based on an external spreadsheet (say, a list of branded terms your team maintains), you have a couple of options. You can filter by partial keyword text matches to capture groups that share common words. For more complex groupings that do not follow a text pattern, you may need to apply standard tags in smaller batches using different filter combinations.
What Dynamic Tags Can Filter On
Dynamic tags can be built from any data point or combination of metrics available in STAT. The full list of available filter criteria includes:
- Search term: full or partial text matches
- Location: country, language, state, province, city, postal code, or neighborhood
- Device: desktop or smartphone
- Rankings: position data from Google, Yahoo, and Bing, including ranking URLs
- Search volume and CPC: filter by volume thresholds or cost-per-click ranges
- Google universal results: result types, their rankings, and associated URLs
- Existing tags: cross-reference with other tags you have already created
You can combine multiple criteria in a single dynamic tag. For instance, you could create a tag that captures all smartphone keywords in a specific city with search volume above 1,000 that currently rank in positions 4 through 10. That tag updates automatically as rankings and search volumes shift.
When to Use Each Tag Type
Use standard tags when your groupings are stable and based on characteristics that will not change. Brand vs. non-brand keyword segments, product category labels, and campaign-specific groupings are all good candidates. You tag them once and they stay organized.
Use dynamic tags when the grouping depends on performance data or any metric that fluctuates. Tracking which keywords just moved onto page one, which terms have rising search volume, or which URLs are ranking for unexpected queries are all scenarios where dynamic tags save significant manual effort. Since the keywords within a dynamic tag update as new SERP data rolls in, your segments evolve alongside your actual search performance rather than going stale.
You can also layer the two types together. Start with standard tags for your core taxonomy (brand, product lines, content topics), then build dynamic tags on top that cross-reference those standard tags with performance filters. This gives you both a stable organizational structure and real-time performance segments.