"runner" App Store Keywords Research Case | ASOTools
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"runner" App Store Keywords Research Case | ASOTools

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1.Preparing Research App Store Keywords 

When you are working on App Store Optimization Services, in order to help you choose the best App Store keywords in Google Play or Apple App Store , it is worth studying this report carefully. This keyword research report about “runner” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “store app store”, “hover board”, “true blue”, “turkce ingilizce ceviri”, “adult game”, “lazy”. 

If you are doing App Store keyword research with the keyword inspector, we recommend that you create a specification for your app store keyword optimization.  For instance:

Question
Keywords
User
Keywords
The action
Keywords
Function
Keywords
The location
Keywords
Question keywords describe why users search for applications. User Keywords represent the role your target audience plays when using the application. The action keyword specifies how to handle your application and use it.
 
Function keywords are basic functions of an application. The location keyword describes where people use your application.

Well, after establishing the theoretical basis of App Store optimization, let’s make a case analytic and study the specific data performance of this keyword in Google Store and Apple App store with app store optimization tools.

2.Research Keyword “runner” with Google Play Data

Extended Long tail words

Obviously, once the root of the core keyword is determined, you need to expand more long tail words. For example, I have collected the top 5 long tail words related to the keyword runner from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
bladerunner 53 51 247 227
temple runner 2 48 16 249 121
maze runner 46 27 247 86
pricerunner 46 26 249 136
maze-runner 46 10 247 77

The search volume of the core keyword runner in Google App Store reached 39, its difficulty level reached 63, and the number of apps related to it reached 250+, among them, there are 89 apps with more than 1,000 comments, and the top 10 apps are selected. They are:

# App Icon App Name Top1 Keyword Search Volume KD
1
Runner - Food Delivery city delivery app ≤5 6
2
Favor Runner runner app 21 12
3
Subway Gold Boy Runner: Endless running game arcade kid runner ≤5 11
4
Subway Surfers sabuway 73 27
5
Temple Run الألعاب 61 60
6
6ix9ine Runner 6ix9ine 57 46
7
Subway Princess Runner suffice 46 33
8
Flip Runner freerunner 28 19
9
Cat Runner: Decorate Home kite runner 38 14
10
Sonic Dash - Endless Running & Racing Game somic 68 18

The top 5 keywords mentioned above are just one of the selected cases. You can select keywords in any range according to your own criteria. Generally, the search volume for keywords should be between 20 and 80, the difficulty should be less than 50, and then analyze the keyword data of the competing App according to the keywords.

ASOTools Suggested Keyword

Top 5 Keywords Search Volume KD Search results Head apps
fobuk 100 30 249 244
nike 76 31 250+ 108
sabuway 73 27 249 138
subway 72 76 250+ 67
apinoide 72 65 250+ 237

In the era of big data analysis of app store keywords, computers are sometimes smarter than us. Therefore, ASOTools provides us with a new function, that is, based on your search target keywords, it is extremely intelligent to recommend accurate keywords for potential traffic. 

Top 10 apps related to the App Store keywords:

# App Icon App Name Top1 Keyword Search Volume KD
1
Fleep - Free Team Messenger pescebok 100 5
2
Fruit Ninja® spiel 51 59
3
Candy Crush Soda Saga sagas 50 33
4
Facebook faceb 100 79
5
DC Legends: Fight Superheroes bat-man 63 54
6
Roblox roblocxx 88 63
7
My Talking Angela angele 61 61
8
HSK Online — HSK Study and Exams hsk 30 32
9
Solitaire jeusc 53 30
10
Minecraft minecraft 80 95

These five keywords: “fobuk”, “nike”, “sabuway”, “subway”, “apinoide”. If you think the traffic is good, you can seriously consider optimizing it into your App store. You can also carefully study these ten apps: “Fleep - Free Team Messenger”, “Fruit Ninja®”, “Candy Crush Soda Saga”, “Facebook”, “DC Legends: Fight Superheroes”, “Roblox”, “My Talking Angela”, “HSK Online — HSK Study and Exams”, “Solitaire”, “Minecraft”, look at their optimized core words.

3.Conclusion

Now, do you know how to find the best keywords? The above is a case of my research keyword “runner”. You can also research keywords according to this idea in the process of the app store optimization, and then use the intelligent services provided by ASOTools.

There are many App store keyword tool, which can be used together to ensure the accuracy of keyword data. I recommend these ASOTools:

4.More Case Analytics Similar to The Keyword “runner