"evil nun" App Store Keywords Research Case | ASOTools
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 “evil nun” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “spectrum.net”, “figura”, “deip.io”, “dominicanas”, “music videos”, “clare”.
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 “evil nun” 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 evil nun from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
evil nun 2 | 14 | 7 | 250+ | 90 |
the evil nun | 10 | 6 | 250+ | 95 |
horror granny · nun evil game | ≤5 | 2 | 250+ | 61 |
game evil nun miawaug | ≤5 | 23 | 250+ | 223 |
evil nun outwitt mod apk download | ≤5 | 23 | 250+ | 217 |
The search volume of the core keyword evil nun in Google App Store reached 34, its difficulty level reached 15, and the number of apps related to it reached 250+, among them, there are 114 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 | Evil Nun : Scary Horror Game Adventure | olivia munn | 50 | 58 | |
2 |
|
Evil Nun 2 : Stealth Scary Escape Game Adventure | evils | 43 | 11 |
3 |
|
Tips Evil Nun - The Nun Evil Nun | creepy nun close the door | ≤5 | 30 |
4 |
|
Evil Nun Ghost : Scary Horror Escape Game | evil nun ghost scary horror escape game | ≤5 | 30 |
5 |
|
Scary Evil nun : Horror Scary Game Adventure | evil g-ball | ≤5 | 30 |
6 |
|
Scary Evil Nun Escape-Scary Horror Adventure Games | evil nun game game | ≤5 | 7 |
7 |
|
Horror Game - Scary Nun İn Hospital | trò chơi bà xuân mai | ≤5 | 21 |
8 |
|
Evil Doll - The Horror Game | evil kid | 13 | 8 |
9 |
|
Evil Nun : Creepy Church Game | well-known | 26 | 25 |
10 |
|
Evil Nun Map for MCPE | evil nun skin for minecraft | ≤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 |
gamesaa | 75 | 68 | 250+ | 250 |
1 | 68 | 82 | 250+ | 140 |
euphoric | 68 | 47 | 250+ | 196 |
hellou | 68 | 46 | 250+ | 206 |
helll | 68 | 28 | 249 | 139 |
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 |
|
Granny | granny | 57 | 68 |
2 |
|
Flip Master | trampolin | 55 | 44 |
3 |
|
Flip Diving | diveing | 46 | 28 |
4 |
|
Geometry Dash Lite | geometry dash | 58 | 27 |
5 |
|
Gymnastics Superstar - Spin your way to gold! | jinasia | 53 | 41 |
6 |
|
Barbie™ Fashion Closet | barbe games | 43 | 37 |
7 |
|
Miraculous Ladybug & Cat Noir | mila kunis | 60 | 56 |
8 |
|
Wrestling Revolution 3D | resulting | 50 | 56 |
9 |
|
Race the Traffic | game download | 58 | 62 |
10 |
|
Among Us | among us | 87 | 75 |
These five keywords: “gamesaa”, “1”, “euphoric”, “hellou”, “helll”. 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: “Granny”, “Flip Master”, “Flip Diving”, “Geometry Dash Lite”, “Gymnastics Superstar - Spin your way to gold!”, “Barbie™ Fashion Closet”, “Miraculous Ladybug & Cat Noir”, “Wrestling Revolution 3D”, “Race the Traffic”, “Among Us”, 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 “evil nun”. 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: