"staff" App Store Keywords Research Case | ASOTools
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"staff" 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 “staff” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “kata kata romantis”, “black butler”, “nissa”, “el observador”, “ootd”, “escreva”. 

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 “staff” 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 staff from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
staffs 48 11 250+ 81
flagstaff 41 47 249 205
staffordshire 41 46 248 211
staffordshire terrier 39 40 250+ 191
staffing agencies 36 6 250+ 50

The search volume of the core keyword staff in Google App Store reached 48, its difficulty level reached 61, and the number of apps related to it reached 250+, among them, there are 27 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
Staff! - Job Game | Real Life Simulator staffs 48 11
2
Patrolity for Staff estaff 9 29
3
Cerner Staff Manager cerner staff manager ≤5 30
4
Exerp Staff excerpt 41 37
5
Staff.am biglemon 13 30
6
GIR Staff gristaff ≤5 30
7
Zen Planner Staff App zen planner staff app ≤5 31
8
Staff-Trendy - одежда и обувь женская одежда украина ≤5 15
9
iClassPro Staff Portal iclass pro 15 38
10
Staff nmcsd staff app ≤5 30

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
pokey mann 68 61 250+ 240
slack 66 40 250+ 165
restaurantes 65 23 250+ 156
elisabeth shue 63 63 250+ 246
trelli 63 38 250+ 177

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
Pokey Ball picket ball 46 29
2
Ball Hook balls hook ≤5 19
3
PAC-MAN pack man 66 36
4
Ms. PAC-MAN Demo bbtman 63 55
5
Will It Shred? Satisfying ASMR Shredding Game satisfying 40 35
6
Voodoo - Cube Surfer voodoo 48 43
7
Faily Brakes braking 45 21
8
Pokey Jump pokey jump ≤5 23
9
Stickman Hook stichman 45 27
10
Stack Jump doggi jump 16 38

These five keywords: “pokey mann”, “slack”, “restaurantes”, “elisabeth shue”, “trelli”. 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: “Pokey Ball”, “Ball Hook”, “PAC-MAN”, “Ms. PAC-MAN Demo”, “Will It Shred? Satisfying ASMR Shredding Game”, “Voodoo - Cube Surfer”, “Faily Brakes”, “Pokey Jump”, “Stickman Hook”, “Stack Jump”, 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 “staff”. 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 “staff