Free Search Term Management
Sort through your search terms and find new negative keywords with ease.
- Easy management and reviewing process for incoming search terms.
- Provides AI-based suggestions for new negative keywords.
- Prepares list of newly discovered keywords, for easy copy-pasting into your Ads interface.
- Per-campaign learning mechanism that gets better as you use it.
- Completely FREE.
What's this?
A big part of managing a PPC campaign is in keeping an eye on the search terms it generates and adding bad ones to the list of negative keywords. That tends to be a laborious process, as it involves checking the search terms at regular intervals. If you don't do this, you end up generating low intent traffic, which can affect your campaign in various harmful ways.
This is an internal tool that was built to help with that, and it's being offered for free, so if it feels unpolished, it's because it is. While we don't have an incentive to make it flashy and appealing, we have nothing against making it better, so if you have any suggestions let us know at search@servervana.com.
Although it works just fine without it, the tool is AI-aided, so if you follow the instruction and the tips on the page, it should give you decent suggestions for negative keywords, which should speed things up quite a bit. It's not perfect, but it works. Your milage may vary.
Other ways in which you can find new negative keywords for high volume campaigns
1. Filter by match type
One effective approach is to filter your search terms by match type. Look at broad match keywords first, since they tend to include the most irrelevant searches, then phrase and then exact.
2. Focus on high-impression, low-CTR search terms
Look for search terms that have high impressions and low CTR (click-through rate), since that can indicate the user's intent isn't matching with your messaging. These search terms can be added as negative keywords to prevent increased costs due to low CTR.
3. Analyze the list of search terms in external tools
Export the list of search terms to csv and import them in Excel or LibraOffice Calc. Once there, you can sort and group them in various ways, so you can more easily find poor matches.