"dogs barking" 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 “dogs barking” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “30”, “constituency”, “parents portal”, “love alarm”, “tags”, “óptica”.
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 “dogs barking” 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 dogs barking from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
barking dogs | 43 | 4 | 250+ | 46 |
dogs barking sounds | 28 | 4 | 250+ | 46 |
dogs barking ringtones | 7 | 3 | 250+ | 64 |
dogs barking translate | ≤5 | 3 | 250+ | 88 |
dogs barking app | ≤5 | 1 | 250+ | 39 |
The search volume of the core keyword dogs barking in Google App Store reached 32, its difficulty level reached 4, and the number of apps related to it reached 250+, among them, there are 47 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 | Dog Sounds | dog sound | 36 | 22 | |
2 |
|
Stop Dog Barking: Anti Dog Bark sounds | stop dog barking | 22 | 4 |
3 |
|
Barking Dog Sounds | barking dogs | 43 | 4 |
4 |
|
Dog Barking Sounds and Noises | barking sounds | 9 | 7 |
5 |
|
Stop Loud Dog Barking: Anti Dog Sounds App | free dog whistle app that works for dogs that barks | ≤5 | 30 |
6 |
|
Dog Sounds | big dog barking sounds | ≤5 | 3 |
7 |
|
Barking Dog Sounds | dog barking alarm clock | ≤5 | 30 |
8 |
|
Anti Dog Bark Whistle: Stop Dog from Barking | dog bark control | 12 | 5 |
9 |
|
Dog Sounds - Barking Dog Sound Ringtone Alarm Tone | dog barking ringtones | ≤5 | 30 |
10 |
|
Stop Dog Noises: Anti Dog Barking Whistle | bark buddy | 17 | 15 |
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 |
wtweather | 100 | 32 | 250+ | 168 |
fweather | 100 | 25 | 250+ | 179 |
cane corso | 65 | 32 | 250+ | 153 |
rottweiler | 65 | 29 | 250+ | 121 |
rottweilers | 65 | 6 | 250+ | 64 |
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 |
|
What The Forecast?!! | swearing weather | 45 | 17 |
2 |
|
Fu*** Weather (Funny Weather) | fweather | 100 | 25 |
3 |
|
HumorCast - Authentic Weather | humor cast | 7 | 22 |
4 |
|
Grumpy Cat Weather | lil bub cat weather report | ≤5 | 30 |
5 |
|
Weather Forecast & Accurate Local Weather & Alerts | focast | 51 | 21 |
6 |
|
Weather Forecast & Snow Radar: The Weather Channel | waether | 100 | 32 |
7 |
|
AccuWeather: Live weather radar & local forecast | weatheroo | 100 | 73 |
8 |
|
Weather by WeatherBug: Live Radar Map & Forecast | wearthe | 100 | 31 |
9 |
|
Weather & Widget - Weawow | eye in sky | 33 | 29 |
10 |
|
1Weather : Forecasts, Widgets, Snow Alerts & Radar | iweather | 62 | 22 |
These five keywords: “wtweather”, “fweather”, “cane corso”, “rottweiler”, “rottweilers”. 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: “What The Forecast?!!”, “Fu*** Weather (Funny Weather)”, “HumorCast - Authentic Weather”, “Grumpy Cat Weather”, “Weather Forecast & Accurate Local Weather & Alerts”, “Weather Forecast & Snow Radar: The Weather Channel”, “AccuWeather: Live weather radar & local forecast”, “Weather by WeatherBug: Live Radar Map & Forecast”, “Weather & Widget - Weawow”, “1Weather : Forecasts, Widgets, Snow Alerts & Radar”, 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 “dogs barking”. 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: