"dab" 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 “dab” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “psiphon”, “аптека ру”, “restorer”, “street food”, “selma”, “mentira”. 

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 “dab” 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 dab from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
dabooo 80 35 250+ 196
downloadable music 60 26 250+ 178
downloadable ringtones 56 13 250+ 115
jetsadabet 53 48 249 200
anandabazar patrika 53 24 250+ 147

The search volume of the core keyword dab in Google App Store reached 37, its difficulty level reached 56, and the number of apps related to it reached 250+, among them, there are 28 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
DAB-Z – Player for DAB/DAB+ USB adapters tristan auron ≤5 21
2
Dab Timer - Free Custom Heatup and Cooldown Timer dabs 30 11
3
Daily Audio Bible Mobile App daily audio bible 17 7
4
DAB Radio for Android player free app AM FM dab+ radio app nl ≤5 5
5
Errl's Dab Timer webonyx ≤5 30
6
Dab Wallpapers HD dab diplo ≤5 25
7
Dab Radio Germany: Player, Free radio dab radio app schlagerparadies ≤5 12
8
DConnect DAB dab app usb adapter ≤5 10
9
Addon Dab Animation bailes para minecraft pe ≤5 30
10
Dab Simulator 2K17 dabbing games ≤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
traset 100 29 250+ 186
wzap 90 66 250+ 240
tktotk 83 34 250+ 165
air b&b 80 23 247 156
airbnb 78 26 247 149

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
Transit: Bus & Subway Times tranportation 53 42
2
MyTransit NYC Subway, MTA Bus, LIRR & Metro North staten island railroad 6 15
3
NextBus next bus 37 11
4
OneBusAway one bus away 13 12
5
myStop® Mobile sunline 18 37
6
Whiz • Live Subway & Bus Times whiz 25 39
7
NJ TRANSIT Mobile App newjersey 53 2
8
Metro Transit metro transit 32 5
9
Rocketman – Bus & Train Times rocketman 30 32
10
TransLoc Rider rider app 13 10

These five keywords: “traset”, “wzap”, “tktotk”, “air b&b”, “airbnb”. 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: “Transit: Bus & Subway Times”, “MyTransit NYC Subway, MTA Bus, LIRR & Metro North”, “NextBus”, “OneBusAway”, “myStop® Mobile”, “Whiz • Live Subway & Bus Times”, “NJ TRANSIT Mobile App”, “Metro Transit”, “Rocketman – Bus & Train Times”, “TransLoc Rider”, 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 “dab”. 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 “dab