"spyder" App Store Keywords Research Case | ASOTools
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"spyder" 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 “spyder” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “meth”, “record call”, “urdu dictionary to english”, “riddle”, “glasgow”, “earth day”. 

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 “spyder” 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 spyder from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
spyder solitaire 10 8 250+ 107
spyderco 6 28 249 221
spyderwash ≤5 30 250+ 143
spyderlynk ≤5 30 248 244
snap reader by spyderlynk ≤5 30 248 234

The search volume of the core keyword spyder in Google App Store reached 36, its difficulty level reached 19, and the number of apps related to it reached 249, among them, there are 140 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
Spider Solitaire spider solatare 61 14
2
Spider Solitaire falling spider plus ≤5 30
3
Spider Solitaire spider solitaire 24/7 34 30
4
Spider Solitaire top spider ≤5 9
5
Classic Spider Solitaire-Free Solitaire Card Games spider solitaire classic free ≤5 8
6
Spyder spyder pubgm ≤5 18
7
Spider Solitaire paciencia spider gratis 9 15
8
Spider Trouble miniscule 29 34
9
Spider Solitaire spider prime ≤5 30
10
MouseBot mouse traps 39 24

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
twittri 93 30 248 185
roblocxx 88 63 250+ 245
roblixox 88 30 250+ 230
redt 87 53 249 202
pinteretz 87 30 250+ 30

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
Albatross for Twitter albatross 29 38
2
Plume for Twitter plume for twitter ≤5 13
3
Janetter for Twitter janetter for twitter ≤5 30
4
TweetCaster Pro for Twitter tweetcaster pro for twitter ≤5 30
5
Dropbox: Cloud Storage to Backup, Sync, File Share drobook 72 54
6
Twidere for Twitter tweedle 6 22
7
Simple Tweet Reader for Twitter twitter thread reader app ≤5 13
8
UberSocial for Twitter ubersocial pro for iphone ≤5 33
9
TweetCaster for Twitter tweetdeck 43 30
10
Owly for Twitter owly 14 26

These five keywords: “twittri”, “roblocxx”, “roblixox”, “redt”, “pinteretz”. 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: “Albatross for Twitter”, “Plume for Twitter”, “Janetter for Twitter”, “TweetCaster Pro for Twitter”, “Dropbox: Cloud Storage to Backup, Sync, File Share”, “Twidere for Twitter”, “Simple Tweet Reader for Twitter”, “UberSocial for Twitter”, “TweetCaster for Twitter”, “Owly 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 “spyder”. 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 “spyder