"path" 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 “path” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “end game”, “sither.io”, “elgato”, “tarkan”, “ejaculation”, “epic seven”. 

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 “path” 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 path from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
black pather 70 5 250+ 66
lucky pathers 63 46 249 210
apathetic 50 55 250+ 243
sympathy 50 27 250+ 106
pathologist 50 3 250+ 27

The search volume of the core keyword path in Google App Store reached 38, its difficulty level reached 47, and the number of apps related to it reached 250+, among them, there are 36 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
RidePATH path train 19 12
2
Path Guide guiding paths ≤5 30
3
Nitnem Audio nietname ≤5 11
4
Nitnem Audio cortica 16 23
5
Nitnem nitnem path in hindi ≤5 1
6
Sukhmani Sahib Path Audio sukhmani sahib 25 11
7
Japji Sahib Path Audio japji sahib 25 13
8
Trucker Path: Truck GPS Truck Stops Weigh Stations truck stops 42 15
9
Rehras Sahib Path Audio rehras sahib 28 9
10
Chaupai Sahib Path Audio chaupai sahib 29 22

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
tvitr 93 39 248 163
tvitrer 93 32 250+ 152
printreste 87 56 250+ 218
pinterrest 87 55 250+ 224
pinteres 87 55 250+ 196

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
Twitter twiiit 93 73
2
Txiicha Lite for Twitter: Best Chronological TL tiveter 93 40
3
Quitter for Twitter tueter ≤5 17
4
TwitPane twitterrific 20 38
5
Tumblr tumblr 68 48
6
Video Downloader for Twitter برنامج تحميل الفيديو من تويتر ≤5 12
7
Reddit redt 87 53
8
Twitch: Livestream Multiplayer Games & Esports twithr 93 30
9
Twidere for Twitter tweedle 6 22
10
Friendly For Twitter witter 3 ≤5 20

These five keywords: “tvitr”, “tvitrer”, “printreste”, “pinterrest”, “pinteres”. 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: “Twitter”, “Txiicha Lite for Twitter: Best Chronological TL”, “Quitter for Twitter”, “TwitPane”, “Tumblr”, “Video Downloader for Twitter”, “Reddit”, “Twitch: Livestream Multiplayer Games & Esports”, “Twidere for Twitter”, “Friendly For Twitter”, 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 “path”. 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 “path