"chase banking" App Store Keywords Research Case | ASOTools
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"chase banking" App Store Keywords Research Case | ASOTools

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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 “chase banking” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “crossy road”, “jump”, “discord server”, “tell me a joke”, “nikon d3200”, “switching games”. 

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 “chase banking” 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 chase banking from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
chase online banking 34 33 249 205
chase mobile banking 21 28 248 203
chase banking app 16 15 248 160
chase online banking app ≤5 18 248 214
mobile banking apps chase ≤5 6 249 124

The search volume of the core keyword chase banking in Google App Store reached 44, its difficulty level reached 26, and the number of apps related to it reached 248, among them, there are 170 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
Chase Mobile vhase 70 52
2
Chase Mobile Checkout chase pay 24 20
3
J.P. Morgan Access Mobile jpmc 22 39
4
J.P. Morgan Mobile jp 53 52
5
J.P. Morgan Wholesale Payments j.p. morgan wholesale payments ≤5 30
6
J.P. Morgan Private Bank j.p. morgan private bank ≤5 30
7
Chase Finance Australia chase ipad ≤5 24
8
Zelle zelle 59 24
9
Cash App cash app 69 32
10
Bank of America Mobile Banking bank of anerica 77 18

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
traset 100 29 250+ 186
speeddtest 90 32 250+ 145
test speed 90 15 250+ 96
testspeed 90 14 250+ 91
speed testnet 90 13 250+ 80

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
Transit: Bus & Subway Times transportaion 53 34
2
MyTransit NYC Subway, MTA Bus, LIRR & Metro North staten island railroad 6 15
3
NextBus next bus 37 11
4
OneBusAway one bus away 13 12
5
myStop® Mobile sunline 18 37
6
Whiz • Live Subway & Bus Times whiz 25 39
7
NJ TRANSIT Mobile App newjersey 53 2
8
Metro Transit metro transit 32 5
9
Rocketman – Bus & Train Times rocketman 30 32
10
TransLoc Rider rider app 13 10

These five keywords: “traset”, “speeddtest”, “test speed”, “testspeed”, “speed testnet”. 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: “Transit: Bus & Subway Times”, “MyTransit NYC Subway, MTA Bus, LIRR & Metro North”, “NextBus”, “OneBusAway”, “myStop® Mobile”, “Whiz • Live Subway & Bus Times”, “NJ TRANSIT Mobile App”, “Metro Transit”, “Rocketman – Bus & Train Times”, “TransLoc Rider”, 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 “chase banking”. 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:

4.More Case Analytics Similar to The Keyword “chase banking