"cluster" App Store Keywords Research Case | ASOTools
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"cluster" 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 “cluster” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “lakers game”, “mimo tv”, “b i p”, “taqueria”, “5th”, “instagram free follower”. 

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 “cluster” 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 cluster from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
clustered 48 49 249 225
clustering 48 10 250+ 65
cluster headache 41 30 250+ 145
cluster university jammu 34 45 250+ 229
cluster truck 31 42 250+ 240

The search volume of the core keyword cluster in Google App Store reached 42, its difficulty level reached 41, and the number of apps related to it reached 248, among them, there are 109 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
Cluster clustering 48 10
2
cluster (クラスター) cluster クラスター ≤5 30
3
DxFun Cluster HAM Radio v04 dx cluster for android ≤5 30
4
Ham DX Cluster & Spots Finder icluster - dx-cluster database ≤5 30
5
Cluster cluster クラスター ≤5 30
6
Cluster Watch Face cluster app ≤5 8
7
Mircules DX Cluster Lite dx cluster 18 36
8
My Cluster Headache cluster headache 41 30
9
Cluster Contacts clustered 48 49
10
NKCCluster nkccluster ≤5 23

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
ficpok 100 72 250+ 245
youtubetm 100 70 249 241
youtuoob 100 68 249 238
fassabook 100 64 249 231
fece book 100 63 249 223

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
Facebook fassabook 100 64
2
Wattpad - Read & Write Stories wattpad 73 45
3
Twitch: Livestream Multiplayer Games & Esports twithr 93 30
4
Epic: Kids' Books & Educational Reading Library epic 65 79
5
Fruit Ninja® spiel 51 59
6
Monster Legends monsters 53 35
7
Brawl Stars brawl stars 67 58
8
Hulu: Stream TV shows & watch the latest movies hulu 75 36
9
Google Duo - High Quality Video Calls apinoide 72 65
10
Twitter twiiit 93 73

These five keywords: “ficpok”, “youtubetm”, “youtuoob”, “fassabook”, “fece book”. 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: “Facebook”, “Wattpad - Read & Write Stories”, “Twitch: Livestream Multiplayer Games & Esports”, “Epic: Kids' Books & Educational Reading Library”, “Fruit Ninja®”, “Monster Legends”, “Brawl Stars”, “Hulu: Stream TV shows & watch the latest movies”, “Google Duo - High Quality Video Calls”, “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 “cluster”. 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 “cluster