"esp" App Store Keywords Research Case | ASOTools
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"esp" 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 “esp” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “handicapp”, “screencast”, “bibles”, “impressora”, “afip”, “strava”. 

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 “esp” 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 esp from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
traducir de ingles a español 87 23 250+ 145
traslador de ingles a español 87 20 250+ 157
traducción de inglés a español 87 19 250+ 137
traducción del inglés al español 87 18 250+ 128
tradición de inglés a español 87 18 250+ 128

The search volume of the core keyword esp in Google App Store reached 41, its difficulty level reached 43, and the number of apps related to it reached 247, among them, there are 90 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
ESP Trainer esp trainer 12 29
2
Zener ESP Simulator - Trainer and Tester zener 19 34
3
ESP Project - Psychic Test Zener Cards fireflies esp apk ≤5 9
4
ESPN espns 80 18
5
ESP - PowerUp Ur Intuition esp menu ≤5 19
6
ESP menu esp aimbot ≤5 26
7
ESP Mobile + esp menu ≤5 19
8
Enterprise Spend Platform fraedom company ≤5 30
9
ESP Test zener , the original esp test ≤5 30
10
ESP Capture dhl global forwarding ≤5 21

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
yotoob 100 30 250+ 132
nèlix 93 68 248 242
netflicpx 93 51 249 212
nètlix 93 44 248 188

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 transportaion 53 34
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”, “yotoob”, “nèlix”, “netflicpx”, “nètlix”. 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 “esp”. 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 “esp