"skim" App Store Keywords Research Case | ASOTools
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"skim" 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 “skim” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “crop”, “wallpaper fire”, “physical map”, “kim kardashian”, “revisar”, “grids”. 

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 “skim” 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 skim from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
minecraft skims 61 10 250+ 101
skims 50 51 249 227
skimming 50 39 250+ 198
eskimo 43 46 250+ 222
skimboarding 36 38 250+ 191

The search volume of the core keyword skim in Google App Store reached 37, its difficulty level reached 12, and the number of apps related to it reached 250+, among them, there are 106 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
Skinseed for Minecraft minecratfs 78 30
2
Skin Editor 3D for Minecraft minctaft skins 61 10
3
Skins for Minecraft PE minecraftskins 46 10
4
Custom Skin Creator For Minecraft minecraft skins 61 11
5
World of Skins (2020) wolfskin 23 11
6
Boys Skins For Minecraft PE mimecraft skins 61 10
7
Boys Skins иные 12 27
8
SkinLand - skins for Minecraft майна 6 28
9
Boys Skins boyss 58 7
10
Skins for Minecraft monecraft skins 61 10

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
almart 88 42 249 203
ealmart 88 38 249 191
walmate 88 31 250+ 162
wallmart 88 31 249 165

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”, “almart”, “ealmart”, “walmate”, “wallmart”. 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 “skim”. 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 “skim