"melancholy" App Store Keywords Research Case | ASOTools
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"melancholy" 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 “melancholy” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “1 9”, “wmone”, “scanner”, “iclouds”, “магазина”, “dr. dre”. 

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 “melancholy” 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 melancholy from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
melancholy quotes 7 1 250+ 44
melancholy 2 ≤5 30 250+ 185
melancholy of cat ≤5 30 250+ 126
the melancholy of haruhi ≤5 26 250+ 242
melancholy app ≤5 9 250+ 145

The search volume of the core keyword melancholy in Google App Store reached 51, its difficulty level reached 39, and the number of apps related to it reached 250+, among them, there are 201 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
Melancholy melancholy app ≤5 9
2
Temperament melancholic 51 51
3
I Meet Myself misanthrope ≤5 30
4
Noonkey – Healing Tears tears 30 22
5
Loner loner 21 34
6
Sad Lonely Painful & Hurt Love breaking heart quotes 36 1
7
Sad Wallpapers sadness wallpapers 50 2
8
NoStranger nostranger ≤5 21
9
Temperaments temperaments 28 18
10
Depression: The Game sad games 18 24

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
fobuk 100 30 249 244
twiiit 93 73 249 247
tvitr 93 39 248 163
tvitrer 93 32 250+ 152
wappssap 90 71 249 245

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
Fleep - Free Team Messenger pescebok 100 5
2
Fruit Ninja® spiel 51 59
3
Candy Crush Soda Saga sodas 46 10
4
Facebook fassabook 100 64
5
DC Legends: Fight Superheroes bat-man 63 53
6
Roblox roblocxx 88 63
7
My Talking Angela angele 61 58
8
HSK Online — HSK Study and Exams hsk 30 31
9
Solitaire jeusc 53 30
10
Minecraft minecraft 80 95

These five keywords: “fobuk”, “twiiit”, “tvitr”, “tvitrer”, “wappssap”. 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: “Fleep - Free Team Messenger”, “Fruit Ninja®”, “Candy Crush Soda Saga”, “Facebook”, “DC Legends: Fight Superheroes”, “Roblox”, “My Talking Angela”, “HSK Online — HSK Study and Exams”, “Solitaire”, “Minecraft”, 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 “melancholy”. 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 “melancholy