"railway enquiry" 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 “railway enquiry” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “человек”, “jumanji”, “disaster”, “aprendo en casa”, “esp8266”, “personality tests”.
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 “railway enquiry” 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 railway enquiry from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
indian railway train enquiry | ≤5 | 5 | 250+ | 66 |
indian railway status enquiry | ≤5 | 4 | 250+ | 52 |
indian railway enquiry apps com game | ≤5 | 11 | 249 | 159 |
nset enquiry railway | ≤5 | 9 | 250+ | 109 |
indian railway passenger reservation enquiry | ≤5 | 7 | 250+ | 100 |
The search volume of the core keyword railway enquiry in Google App Store reached 41, its difficulty level reached 10, and the number of apps related to it reached 250+, among them, there are 69 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 | IRCTC Train Booking, PNR Status, Running Status | pnr status | 63 | 33 | |
2 |
|
IRCTC Train Booking, PNR, Live Status - RailYatri | railyatri | 19 | 18 |
3 |
|
Train Enquiry, Live Train, Seat & PNR Status | sampark kranti train | ≤5 | 10 |
4 |
|
Indian Railway Train Status : Where is my Train | indian train | 26 | 20 |
5 |
|
Live Train & Indian Rail Status - Locate My Train | train platform | 11 | 9 |
6 |
|
IRCTC Rail Connect | irctc | 48 | 31 |
7 |
|
IRCTC train Booking - ConfirmTkt (Confirm Ticket) | online booking ticket train | 33 | 30 |
8 |
|
Indian Railway & IRCTC Info app | indian rail | 55 | 33 |
9 |
|
Rail Enquiry | enquiries app | ≤5 | 12 |
10 |
|
NTES train enquiry, train running status & e rail | mtns | 39 | 29 |
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 |
debatable | 65 | 57 | 248 | 237 |
pnr status | 63 | 33 | 250+ | 57 |
p n r status | 63 | 9 | 250+ | 56 |
make my trip | 61 | 24 | 250+ | 151 |
traine | 58 | 58 | 249 | 237 |
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 |
|
Sports Debatable: Your Go-To Sports Debate App | sporno - debate app | ≤5 | 30 |
2 |
|
Modern Train Driving Simulator: City Train Games | tenderness | 29 | 31 |
3 |
|
Thomas & Friends: Go Go Thomas | antonia thomas | 45 | 50 |
4 |
|
Train Racing 3D-2018 | tane | 23 | 39 |
5 |
|
Train Racing Games 3D 2 Player | train racing games 3d 2 players | 11 | 8 |
6 |
|
Train Games Simulator : Indian Train Driving Games | bhusawal game | ≤5 | 13 |
7 |
|
Train Simulator - Free Games | simulator free games | 9 | 20 |
8 |
|
Bike Stunt Race Master 3d Racing - Free Games 2020 | free hames | 41 | 48 |
9 |
|
City Train Driver Simulator 2019: Free Train Games | tian | 34 | 38 |
10 |
|
Music Volume EQ — Equalizer Bass Booster Amplifier | equalizer | 46 | 73 |
These five keywords: “debatable”, “pnr status”, “p n r status”, “make my trip”, “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: “Sports Debatable: Your Go-To Sports Debate App”, “Modern Train Driving Simulator: City Train Games”, “Thomas & Friends: Go Go Thomas”, “Train Racing 3D-2018”, “Train Racing Games 3D 2 Player”, “Train Games Simulator : Indian Train Driving Games”, “Train Simulator - Free Games”, “Bike Stunt Race Master 3d Racing - Free Games 2020”, “City Train Driver Simulator 2019: Free Train Games”, “Music Volume EQ — Equalizer Bass Booster Amplifier”, 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 “railway enquiry”. 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: