"coffee beans" 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 “coffee beans” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “electric bike”, “face time”, “head up”, “fms”, “sustantivos”, “glaciers”.
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 “coffee beans” 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 coffee beans from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
beans coffee | 12 | 11 | 248 | 77 |
coffee beans by dao | ≤5 | 30 | 249 | 223 |
sweet beans coffee | ≤5 | 30 | 249 | 136 |
six beans coffee company llc | ≤5 | 30 | 247 | 239 |
six beans coffee co rewards | ≤5 | 30 | 246 | 214 |
The search volume of the core keyword coffee beans in Google App Store reached 46, its difficulty level reached 7, and the number of apps related to it reached 247, among them, there are 29 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 | The Coffee Bean® Rewards | coffe bean | 46 | 5 | |
2 |
|
Coffee Beans | coffee beans by dao | ≤5 | 30 |
3 |
|
Coffee Beans Launcher Theme | coffee beans by dao | ≤5 | 30 |
4 |
|
Bean Tracker - Coffee Roasting | coffee roasting | 38 | 2 |
5 |
|
Coffee Roaster | coffee roaster | 24 | 16 |
6 |
|
Volcanica Coffee - Gourmet Coffee Beans | coffe bean | 46 | 5 |
7 |
|
Coffee Gems | koffie app | ≤5 | 2 |
8 |
|
Coffee Beans LWP | coffee beans app | ≤5 | 30 |
9 |
|
Six Beans Coffee Co Rewards | beans coffee | 12 | 11 |
10 |
|
Coffee Beans DayDream | coffee beans app | ≤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 |
nearest restaurants | 87 | 17 | 250+ | 111 |
madonald | 85 | 43 | 246 | 193 |
mcds | 85 | 25 | 243 | 153 |
mc donall | 85 | 30 | 248 | 12 |
mac donalls | 85 | 30 | 247 | 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 |
|
Restaurants Nearby | closest restaurants | 26 | 13 |
2 |
|
Places Near Me 2020 | Places Around Me - Near Me | nearby places - find near me | ≤5 | 4 |
3 |
|
R2N – Discount on restaurants & Cafes | restaurant 2 night | ≤5 | 9 |
4 |
|
Food Finder: Places to Eat | best places to eat | 16 | 10 |
5 |
|
Nearby Near Me Restaurant | find nearby restaurants | ≤5 | 9 |
6 |
|
Restaurant Finder : Near By Me | nearby restaurants finder | ≤5 | 8 |
7 |
|
Restaurant Locator And Food Finder | restaurant locator app | ≤5 | 30 |
8 |
|
Nearby Location Information | nearby school finder | ≤5 | 30 |
9 |
|
Restaurant Quick Finder | best restaurant finder | ≤5 | 7 |
10 |
|
Restaurant Locator / Restaurant Finder | restaurantes cerca | 45 | 13 |
These five keywords: “nearest restaurants”, “madonald”, “mcds”, “mc donall”, “mac donalls”. 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: “Restaurants Nearby”, “Places Near Me 2020 | Places Around Me - Near Me”, “R2N – Discount on restaurants & Cafes”, “Food Finder: Places to Eat”, “Nearby Near Me Restaurant”, “Restaurant Finder : Near By Me”, “Restaurant Locator And Food Finder”, “Nearby Location Information”, “Restaurant Quick Finder”, “Restaurant Locator / Restaurant Finder”, 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 “coffee beans”. 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: