Both are free because their companies also have paid tools which they promote . But Unicorn Smasher and Sonar are definitely not free trials, because there are no paid plans to sign up to. You can also export the list of words and their scores to a CSV file, but must register a free account first. Refreshingly, this is a completely free tool, with no pushy ads or constant reminders about upgrades. It feels like a programmer’s pet project, but it is by no means clunky or basic.
The different match types for negative keywords allow you to engage with negative keyword selection more flexibly. “Exact match” is probably the best choice for both advanced and beginner users. This feature would allow us to store different “blacklist” sets of negative exact or phrase keywords to be added during the construction of a campaign or ad group by simply selecting it during the workflow or through a bulk upload identifier of some sort.
In 2012, Google introduced a Knowledge Graph semantic search feature. Just because you’re indexing for a keyword phrase now doesn’t mean you will forever. For whatever reason, keywords can suddenly de-index, meaning your product is nowhere to be found on any page of the search results for that keyword. You shouldn’t just dump all of these keywords into the listing, most of them won’t be relevant enough. Next step is to use Frankenstein Keyword Processor to process out the bulk of the bad ones.
Be ruthless with the deletions, we want ONLY the most relevant keywords to maintain top relevancy for the algorithm. I first sort results by length which shows me all the super short single letters or other random 1 word phrases that aren’t relevant, allowing me to easily bulk delete them. Then I do the same for the long ones so big long URLs are easily deleted. Finding and including them somewhere in the listing greatly increases the amount of phrases we can potentially index and rank for.
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