Use keyword data for large, similar areas.

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So what happens when you see a bunch of keyword suggestions? You enter "Sequim". For example, Sequim is a small town on the Washington Peninsula across the Puget Sound from Seattle, where we are. Sequim has a very small population of about 6,500 people. Therefore, most Sequim-related searches do not have volumetric data in these tools. So you don't see a lot of information about "How do I target these keywords?" Which ones are correct to go back to? It's really hard to not know if a keyword is getting zero searches a month, or if it's four searches a month, and those four searchers are exactly the people you want to attract.

There are three solutions that we see professional SEOs using, as well as some folks at Moz and the Moz Local team, and they might be really useful for you.

Solution 1:
So the first method is basically to copy the data using keyword information estonia whatsapp data from nearby areas. Let's say we're in Sequim, Washington, population 6,669. But Port Angeles is only a few miles away. I think it's probably dozens of miles away. But its population exceeds 20,000. So for most searches, our keyword volume is four to five times larger. This will include some outdoor areas. Now we can start getting the data. Not everything is going to have zero searches per month, and we can look back and see what Sequim’s numbers would look like.

The same was true for Ruidoso against Santa Fe. Ruidoso, about 8,000 people. But Santa Fe’s population is about 10 times that number, at 70,000. Or Stowe, Vermont, a town of 4,300. Burlington isn't that far off, with 10 times the population at 42,000. Great, now I can use the numbers to get an idea of ​​the relative quantities, since people in Burlington are probably similar to people in Stowe. There will be some differences, but for most types of local searches this will work.