"lebensmittel" 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 “lebensmittel” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “google image”, “red”, “collagen”, “toasting”, “ninja”, “dixionario”.
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 “lebensmittel” 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 lebensmittel from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
basische lebensmittel | 24 | 33 | 250+ | 195 |
glutenfreie lebensmittel | 12 | 7 | 250+ | 106 |
basische lebensmittel tabelle | 7 | 26 | 250+ | 204 |
lebensmittelwarnung app | ≤5 | 21 | 249 | 222 |
bestandsliste lebensmittel | ≤5 | 17 | 250+ | 181 |
The search volume of the core keyword lebensmittel in Google App Store reached 50, its difficulty level reached 16, and the number of apps related to it reached 250+, among them, there are 145 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 |
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Fishing Food | fish food | 29 | 9 |
2 |
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Merge Cooking Restaurant | cooking merge | ≤5 | 11 |
3 |
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Sugar Smash: Book of Life - Free Match 3 Games. | the secret life of bees | 31 | 47 |
4 |
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Cooking Chef - Food Fever | food serving | 29 | 16 |
5 |
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Food Court Fever: Hamburger 3 | food court | 26 | 20 |
6 |
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Calorie quiz: Food and drink | gloton torredelcampo | ≤5 | 27 |
7 |
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Hell’s Cooking: crazy burger, kitchen fever tycoon | бургеров | 29 | 11 |
8 |
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Happy Cooking: Chef Fever | happy cooking | 11 | 15 |
9 |
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Food Evolution - Clicker Game | food evolution | 12 | 17 |
10 |
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Burger Food Evolution Clicker | burgers evolution | ≤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 |
atarbucks | 80 | 47 | 245 | 216 |
starbuck | 80 | 33 | 246 | 157 |
star bucks | 80 | 26 | 246 | 158 |
starbucks | 78 | 41 | 247 | 186 |
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 |
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Restaurants Nearby | closest restaurants | 26 | 13 |
2 |
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Places Near Me 2020 | Places Around Me - Near Me | nearby places - find near me | ≤5 | 4 |
3 |
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R2N – Discount on restaurants & Cafes | restaurant 2 night | ≤5 | 9 |
4 |
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Food Finder: Places to Eat | best places to eat | 16 | 10 |
5 |
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Nearby Near Me Restaurant | find nearby restaurants | ≤5 | 9 |
6 |
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Restaurant Finder : Near By Me | nearby restaurants finder | ≤5 | 8 |
7 |
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Restaurant Locator And Food Finder | restaurant locator app | ≤5 | 30 |
8 |
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Nearby Location Information | nearby school finder | ≤5 | 30 |
9 |
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Restaurant Quick Finder | best restaurant finder | ≤5 | 7 |
10 |
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Restaurant Locator / Restaurant Finder | restaurantes cerca | 45 | 13 |
These five keywords: “nearest restaurants”, “atarbucks”, “starbuck”, “star bucks”, “starbucks”. 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 “lebensmittel”. 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: