"bicicleta" App Store Keywords Research Case | ASOTools
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"bicicleta" 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 “bicicleta” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “ice cream cake”, “lane bryant”, “antecedente criminal”, “housing”, “daring app”, “youtube vanced”. 

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 “bicicleta” 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 bicicleta from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
bicicletas 56 19 250+ 134
bicicletas eléctricas 41 8 249 90
bicicletas carreras 21 13 250+ 159
reparación de bicicletas 19 7 250+ 90
bicicletas ejercicio 14 10 250+ 106

The search volume of the core keyword bicicleta in Google App Store reached 46, its difficulty level reached 15, and the number of apps related to it reached 250+, among them, there are 122 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
Touchgrind BMX 2 bmx 57 66
2
Bike Mayhem Free cycle gear 38 12
3
BMX Freestyle Extreme 3D b m x freestyle 29 9
4
Bike Rush cycle game 22 16
5
MTB Hill Bike Rider bike cycle 28 9
6
Bike Blast- Bike Race Rush bennetts bike insurance 6 35
7
Bike Unchained 2 unchained 24 34
8
Bike Hop: Crazy BMX Bike Jump 3D mat hoffman 12 40
9
Wheelie Bike 3D - BMX stunts wheelie bike riding se bike 41 30
10
Happy Wheels happy 58 79

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
henm 83 65 249 241
adidas 70 27 245 153
uniquo 68 47 248 228
vans 64 56 249 214
speed meter 63 39 250+ 106

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
H&M - we love fashion hm 83 41
2
H&M One Team h u0026 m uae ≤5 30
3
adidas adidas 70 27
4
SHEIN-Fashion Shopping Online s h e i n 80 26
5
NORMAL - normale varer unormale priser normal 46 45
6
ZAFUL - My Fashion Story zafal 55 41
7
Poshmark - Buy & Sell Fashion poshmark 61 38
8
PULL&BEAR peek und cloppenburg 50 34
9
Planteles Militares Free aspirantes a planteles militares ≤5 30
10
Clothes shop - style fashion dresses, shoes, jeans clothing stores near me 46 19

These five keywords: “henm”, “adidas”, “uniquo”, “vans”, “speed meter”. 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: “H&M - we love fashion”, “H&M One Team”, “adidas”, “SHEIN-Fashion Shopping Online”, “NORMAL - normale varer unormale priser”, “ZAFUL - My Fashion Story”, “Poshmark - Buy & Sell Fashion”, “PULL&BEAR”, “Planteles Militares Free”, “Clothes shop - style fashion dresses, shoes, jeans”, 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 “bicicleta”. 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 “bicicleta