"train pnr status" 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 “train pnr status” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “bicep”, “bluegreen”, “editor de foto”, “tiffany & co”, “indian games”, “uk bbc”. 

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：

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 “train pnr status” 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 train pnr status from the ASOTools, as follows:

The search volume of the core keyword train pnr status in Google App Store reached 33, its difficulty level reached 9, and the number of apps related to it reached 250+, among them, there are 57 apps with more than 1,000 comments, and the top 10 apps are selected. They are:

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

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:

These five keywords: “pnr status”, “p n r status”, “make my trip”, “félix bus”, “traine”. 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: “IRCTC Train Booking, PNR Status, Running Status”, “IRCTC Train Booking, PNR, Live Status - RailYatri”, “PNR Status, Train Running Status & Ticket Booking”, “Train PNR Status Enquiry And Live Updates”, “ConfirmTkt (Confirm Ticket) - IRCTC Train Booking”, “Railway PNR Check”, “PNR Status Confirmation”, “Indian Railway Train Status : Where is my Train”, “PNR Status Check - QuickPnr”, “Indian Railway - IRCTC & PNR Status”, 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 “train pnr status”. 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 “train pnr status“

（1）“bicep” App Store Keywords Research Case Analytic 

（2）“bluegreen” App Store Keywords Research Case Analytic 

（3）“editor de foto” App Store Keywords Research Case Analytic 

（4）“tiffany & co” App Store Keywords Research Case Analytic 

（5）“indian games” App Store Keywords Research Case Analytic 

（6）“uk bbc” App Store Keywords Research Case Analytic