"barking dogs" 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 “barking dogs” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “kiss kiss”, “stopmotion”, “b i g o”, “rare”, “advocacy”, “apparels”.
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 “barking dogs” 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 barking dogs from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
dogs barking | 32 | 4 | 250+ | 47 |
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 barking dogs in Google App Store reached 43, its difficulty level reached 4, and the number of apps related to it reached 250+, among them, there are 46 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 | Barking Dog Sounds | barks of dogs | 43 | 3 | |
2 |
|
Dog Sounds | dog sound | 36 | 22 |
3 |
|
Stop Dog Barking: Anti Dog Bark sounds | stop dog barking | 22 | 4 |
4 |
|
Dog Barking Sounds and Noises | barking sounds | 9 | 7 |
5 |
|
Dog Sounds | dog sound simulator | ≤5 | 3 |
6 |
|
Barking Dog Sounds | dog barking alarm clock | ≤5 | 30 |
7 |
|
Barking Dog Sounds Ringtones | dogs barking ringtones | 7 | 3 |
8 |
|
Stop Dog Noises: Anti Dog Barking Whistle | bark buddy | 17 | 15 |
9 |
|
Dog Sounds - Barking Dog Sound Ringtone Alarm Tone | dog barking ringtones | ≤5 | 30 |
10 |
|
Barking Dog Ringtones | barking dog ringtones | 7 | 4 |
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 |
mwtwo | 87 | 43 | 249 | 193 |
pockemonn | 68 | 36 | 250+ | 211 |
pokman | 68 | 29 | 250+ | 184 |
pocomon | 68 | 25 | 250+ | 174 |
poketmon | 68 | 25 | 250+ | 173 |
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 |
|
Pixelmon Trainer Craft: New Game 2020 Catch Poсket | pixelmon pokemon | 7 | 10 |
2 |
|
Pokémon TV | pokemon tv | 38 | 17 |
3 |
|
Mega Pixelmons - Mega Monster Color By Number | mega blastoise | 29 | 17 |
4 |
|
Maps Poke Addon PE | map craftsman pokemon | ≤5 | 3 |
5 |
|
Pokémon GO | pokman | 68 | 29 |
6 |
|
Skin Poke For Minecraft | minecraft skins pokemon | ≤5 | 30 |
7 |
|
Mod Pokecraft for MCPE | 우리는 세계 마인크래프트 | ≤5 | 7 |
8 |
|
Umbreon Wallpaper HD | Poke Wallpapers 4K | umbreon wallpapers | 7 | 5 |
9 |
|
Wallpaper Poke - Wallpaper HD 4k | pokemon darkrai wallpaper | ≤5 | 20 |
10 |
|
Mewtwo Wallpaper | mewtwo | 46 | 35 |
These five keywords: “mwtwo”, “pockemonn”, “pokman”, “pocomon”, “poketmon”. 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: “Pixelmon Trainer Craft: New Game 2020 Catch Poсket”, “Pokémon TV”, “Mega Pixelmons - Mega Monster Color By Number”, “Maps Poke Addon PE”, “Pokémon GO”, “Skin Poke For Minecraft”, “Mod Pokecraft for MCPE”, “Umbreon Wallpaper HD | Poke Wallpapers 4K”, “Wallpaper Poke - Wallpaper HD 4k”, “Mewtwo Wallpaper”, 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 “barking dogs”. 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: