"temperature body" 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 “temperature body” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “code black”, “monstruo”, “klse screen”, “map earth”, “brave browser”, “ue boom”.
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 “temperature body” 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 temperature body from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
body temperature | 34 | 17 | 249 | 66 |
body temperature app | 24 | 8 | 249 | 86 |
basal body temperature | 16 | 11 | 250+ | 128 |
body temperature scanner | 13 | 7 | 249 | 87 |
check body temperature | 13 | 6 | 249 | 84 |
The search volume of the core keyword temperature body in Google App Store reached 43, its difficulty level reached 7, and the number of apps related to it reached 250+, among them, there are 67 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 | Body Temperature Fever : Thermometer Records Diary | theremometer | 55 | 14 | |
2 |
|
Thermometer For Fever - Body Temperature | body temperature checker | 11 | 8 |
3 |
|
Body Temperature Fever Thermometer Diary | dbp thermometer | ≤5 | 30 |
4 |
|
Body Temperature App | body temperature reader | ≤5 | 5 |
5 |
|
Temperature Body Health Recorder | health apps body temperature | ≤5 | 30 |
6 |
|
Thermometer Body Temperature | body temperature measure app scan | ≤5 | 16 |
7 |
|
熱はかった? | temperature log book | ≤5 | 30 |
8 |
|
Body Temperature Tracker - Fever Thermometer Log | temassız ateş ölçer | 29 | 31 |
9 |
|
Body Temperature Thermometer: Fever Diary Records | температура тела | 12 | 11 |
10 |
|
Body Temperature Checker | body temperature prank hd 3.1 mb | ≤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 |
wheather | 100 | 32 | 250+ | 193 |
wather | 100 | 32 | 250+ | 189 |
climas | 100 | 32 | 250+ | 183 |
waethar | 100 | 30 | 250+ | 205 |
weather | 89 | 100 | 250+ | 191 |
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 | wather | 100 | 32 |
2 |
|
Weather forecast | climas | 100 | 32 |
3 |
|
Weather by WeatherBug: Live Radar Map & Forecast | wearthe | 100 | 31 |
4 |
|
AccuWeather: Live weather radar & local forecast | погоду | 88 | 32 |
5 |
|
Weather forecast | previsão do tempo | 82 | 30 |
6 |
|
1Weather : Forecasts, Widgets, Snow Alerts & Radar | iweather | 62 | 22 |
7 |
|
MyRadar Weather Radar | radar | 55 | 74 |
8 |
|
Weather & Widget - Weawow | eye in sky | 33 | 29 |
9 |
|
Local Weather - Weather Widget | local weather | 43 | 30 |
10 |
|
Weather Forecast & Accurate Local Weather & Alerts | free weather application | ≤5 | 11 |
These five keywords: “wheather”, “wather”, “climas”, “waethar”, “weather”. 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 forecast”, “Weather by WeatherBug: Live Radar Map & Forecast”, “AccuWeather: Live weather radar & local forecast”, “Weather forecast”, “1Weather : Forecasts, Widgets, Snow Alerts & Radar”, “MyRadar Weather Radar”, “Weather & Widget - Weawow”, “Local Weather - Weather Widget”, “Weather Forecast & Accurate Local Weather & Alerts”, 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 “temperature body”. 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: