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Now how do you come up with these key words in the first place?
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Well, an easy starting point is going into the app store and going into the search tab.
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Now for example, if you search for Ninja, the App Store will automatically suggest to you some of the
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variations that users have used when they're looking for things that are related to the word Ninja.
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So some of these words might be good keywords for you to jump on.
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So this is basically the easiest and the least effort intensive way of coming up with keywords.
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Now I'm going to show you a slightly more refined workflow for coming up with app store keywords.
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The first thing you have to do is go and find a reverse dictionary online.
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So one of my favorite is a dictionary called OneLook and it's free to use and it's basically at one
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look.com.
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Now don't go into that dictionary search because this only gives you definitions and don't go into the
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theasaurus.
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Instead what you want is the reverse dictionary.
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Now a reverse dictionary is different from a thesaurus.
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So whereas a thesaurus gives you all the synonyms of a particular word, the reverse dictionary gives
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you words that are used in conjunction with your word.
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So for example, if we type in coffee then we'll get a whole bunch of words that are used when people
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use the word coffee.
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So for example, Java or coffee bean or chocolate or coffee berry, espresso, latte, tea. And the words that
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come out a reverse dictionary are pretty much perfect for use as keywords.
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Now you do have to do a little bit of sifting through this because some of these are not ever going
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to be searched like umber, burnt umber.
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I have a feeling there's probably one search for that on the App Store per month.
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So how so then the question is how do you figure out which of all of these words,
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I mean there's pages and pages of this, are worth using as your keyword?
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Well there's a very easy workflow for this.
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Now this is where a service like Sensor Tower or App Annie comes into play.
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So there's many of these such services out there and you can try and figure out which one you prefer
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or which one has a better pricing model.
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Personally, we use Sensor Tower. And what you can do with Sensor Tower is that if you go into the
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products tab you can go to the App Store optimisation feature and what you can do is you can research
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a whole bunch of keywords.
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Now this is where those words from the reverse dictionary comes into use.
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You can either go ahead and just copy these words one by one into your keyword space or if you're looking
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for a little bit more efficiency than what I use is a free Chrome plugin code scraper.
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Now once you've added that to Chrome, what you can do is you can highlight the type of data that you're
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looking for.
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So in this case is actually this piece of data and then you can right click and you can click on this
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scrape similar button.
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Now what that does is that it looks through the website and looks for data that's structured similarly
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to that word Java.
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Now then the next thing that you can do is you can hit copy to clipboard and copy all of that data and
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paste it into here. So you will have the curate and add some commas between these word and maybe get
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rid of some of these because they're not really going to help you.
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Okay. So now we've added commas in between all the different words
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and I've gotten rid of some of the words which I think probably are never going to be searched.
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So now that we've got all our key words, all you have to do is hit track keyword and you'll get a number
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of really important metrics.
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Now the first thing that you want to look at is this column called traffic.
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So as they say, this is an estimate of how many people are actively searching for this particular keyword.
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So the higher the score, then the more traffic there is.
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And the other important column is difficulty.
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So this index lets you know how difficult it is to rank in the App Store for this particular keywords.
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So that means the higher the score, the more apps are targeting that particular keyword.
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So you're basically going to be in a large pool of a large number of apps.
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So the sweet spot that I find is when the traffic score now the scores are different for different services.
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But a sense of how what we found is that once the traffic score is above 3 and the difficulty is
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below 3, then that is usually a pretty solid keyword.
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And what you want to do is to create a Excel file or Google sheet to keep track of those keywords that
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you have selected. And once you've made a full list of all the keywords, so this is usually 100 or 150,
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then you can sort them and figure out what are your top keywords that you will cram into that 100 character
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keyword field.
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So this is pretty much our work flow
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and in my opinion it's the best way of going about this. Instead of employing a ASO expert who is probably
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going to do something very similar to this,
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you can in fact just DIY and do it yourself. And you can optimize your keywords this way.