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3 Tactics for Hyperlocal Keywords – Whiteboard Friday

February 23, 2017

By randfish

Hyper Local Keyword Research

Posted by randfish

Trying to target a small, specific region with your keywords can prove frustrating. While reaching a high-intent local audience is incredibly valuable, without volume data to inform your keyword research, you’ll find yourself hitting a wall. In this Whiteboard Friday, Rand shares how to uncover powerful, laser-focused keywords that will reach exactly the right people.

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Video Transcription

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we’re going to chat about hyperlocal keyword research. Now, this is a big challenge, not only for hyperlocal-focused businesses, but also for all kinds of websites that are trying to target very small regions, and many of them, with their keyword research and keyword targeting, on-page optimization.

The problem:

So the problem tends to be that most keyword research tools, and this includes things like the Google AdWords Tool, it includes Moz’s Keyword Explorer, or KeywordTool.io, or Übersuggest, or anybody you want to use, most of them are relying on volume data.

So what happens is when you see a bunch of keyword suggestions, you type in “Sequim,” for example, Sequim is a tiny town on Washington’s peninsula, so across the Puget Sound from where we are here in Seattle. Sequim has a population of like 6,500 people or something like that, so very tiny. So most searches related to Sequim have no volume data in any of these tools. As a result, you don’t see a lot of information about: How can I target these keywords? What are the right ones to go after? You don’t know whether a keyword has zero searches a month, or whether it has four searches a month, and those four searchers are exactly who you want to get in front of, and this is really problematic.

There are three solutions that we’ve seen professional SEOs use and that some of us here at Moz use and the Moz Local team uses, and these can be real handy for you.

Solution 1: Use keyword data for larger, similar regions

So the first one is to basically replicate the data by using keyword information that comes from similar regions nearby. So let’s say, okay, here we are in Sequim, Washington, population 6,669. But Port Angeles is only a few miles away. I think maybe a couple dozen miles away. But its population is more like 20,000. So we’ve got four or five times the keyword volume for most searches probably. This is going to include some outlying areas. So now we can start to get data. Not everything is going to be zero searches per month, and we can probably backtrack that to figure out what Sequim’s data is going to be like.

The same thing goes for Ruidoso versus Santa Fe. Ruidoso, almost 8,000. But Santa Fe’s population is almost 10 times larger at 70,000. Or Stowe, …read more

Source:: Moz Blog

      

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