"улице" 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 “улице” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “legrand”, “shaman king”, “feeders”, “best restaurants”, “quotes best”, “오늘의집”.
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 “улице” 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 улице from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
на улице | 12 | 21 | 250+ | 201 |
на улице вязов | ≤5 | 24 | 249 | 235 |
чем заняться на улице | ≤5 | 21 | 250+ | 211 |
на улице игра | ≤5 | 14 | 250+ | 199 |
яркий экран на улице | ≤5 | 14 | 250+ | 152 |
The search volume of the core keyword улице in Google App Store reached 33, its difficulty level reached 12, and the number of apps related to it reached 250+, among them, there are 139 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 | Go To Street | go to street | 7 | 12 | |
2 |
|
Go To Downtown Street | jeux de personnes dans une ville | ≤5 | 21 |
3 |
|
Street Racing Grand Tour-mod & drive сar games 🏎️ | гогки | 33 | 43 |
4 |
|
Drag Racing: Duel & Street Race | racing rivals | 17 | 21 |
5 |
|
NOS: Street Racing | гонки без границ | ≤5 | 30 |
6 |
|
Crime City Street Driving 3D | crime street driving style | ≤5 | 30 |
7 |
|
The Street King: Open World Street Racing | open world car games | 8 | 14 |
8 |
|
Street Racing HD | retracing | 18 | 35 |
9 |
|
Street View - Panorama 3D Live camera Speedometer | calles | 43 | 29 |
10 |
|
Grand Thief Gang City Limo Gangster Mafia | grand gang city | ≤5 | 7 |
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 |
weatger | 100 | 30 | 250+ | 189 |
westher | 100 | 30 | 249 | 170 |
googke maps | 93 | 26 | 250+ | 177 |
googlw maps | 93 | 22 | 249 | 162 |
googlr maps | 93 | 22 | 249 | 161 |
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 |
|
Weather Forecast & Snow Radar: The Weather Channel | waether | 100 | 32 |
2 |
|
Weather by WeatherBug: Live Radar Map & Forecast | wearthe | 100 | 31 |
3 |
|
AccuWeather: Live weather radar & local forecast | weatheroo | 100 | 73 |
4 |
|
Weather forecast | climas | 100 | 33 |
5 |
|
Weather & Widget - Weawow | eye in sky | 33 | 29 |
6 |
|
Weather Forecast & Accurate Local Weather & Alerts | focast | 51 | 21 |
7 |
|
1Weather : Forecasts, Widgets, Snow Alerts & Radar | iweather | 62 | 22 |
8 |
|
MyRadar Weather Radar | waether radar | 63 | 18 |
9 |
|
Weather forecast | previsão do tempo | 82 | 30 |
10 |
|
Weather data & microclimate : Weather Underground | weatherman underground | 55 | 23 |
These five keywords: “weatger”, “westher”, “googke maps”, “googlw maps”, “googlr maps”. 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: “Weather Forecast & Snow Radar: The Weather Channel”, “Weather by WeatherBug: Live Radar Map & Forecast”, “AccuWeather: Live weather radar & local forecast”, “Weather forecast”, “Weather & Widget - Weawow”, “Weather Forecast & Accurate Local Weather & Alerts”, “1Weather : Forecasts, Widgets, Snow Alerts & Radar”, “MyRadar Weather Radar”, “Weather forecast”, “Weather data & microclimate : Weather Underground”, 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 “улице”. 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: