"train running 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 running status” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “eligent”, “youtube music”, “teespring”, “you tub downloader.app”, “tour”, “gateways”.
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 “train running 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 running status from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
running train status live | 34 | 9 | 250+ | 70 |
irctc train running status | 7 | 6 | 250+ | 58 |
current running status of train | 7 | 5 | 250+ | 56 |
train running status live games 3d | ≤5 | 11 | 250+ | 202 |
train running status live games 3d 2019 | ≤5 | 9 | 250+ | 170 |
The search volume of the core keyword train running status in Google App Store reached 48, its difficulty level reached 13, and the number of apps related to it reached 250+, among them, there are 71 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 | 31 | |
2 |
|
Train Running Status Live | all trains running status | ≤5 | 4 |
3 |
|
IRCTC Train Booking, PNR, Live Status - RailYatri | railyatri | 19 | 14 |
4 |
|
Live Train Running Status | running status live train running status | ≤5 | 30 |
5 |
|
Indian Railway Train Status : Where is my Train | indian trains | 26 | 8 |
6 |
|
Live Train & Indian Rail Status - Locate My Train | live stesan tran | ≤5 | 13 |
7 |
|
PNR Status, Train Running Status & Ticket Booking | traman | 41 | 53 |
8 |
|
Live Train Status, PNR Status: Indian Railway Info | live train status pnr status and indian rail info | ≤5 | 30 |
9 |
|
Live Train Status - Where is my Train Location | my train | 39 | 30 |
10 |
|
Train Enquiry, Live Train, Seat & PNR Status | availability of seats in train | 31 | 9 |
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 |
ouisncf | 63 | 46 | 250+ | 208 |
pnr status | 63 | 31 | 250+ | 49 |
p n r status | 63 | 9 | 250+ | 56 |
félix bus | 60 | 45 | 248 | 194 |
traine | 58 | 52 | 250+ | 231 |
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 |
|
Oui.sncf : Cheap Train & Bus tickets for France | ouiscnf | 63 | 54 |
2 |
|
OUIGO – La France à partir de 10€ en TGV ???? | ouigo | 40 | 39 |
3 |
|
SNCF | sncf | 48 | 36 |
4 |
|
Omio: Book Train, Bus & Flight Tickets | omio | 34 | 26 |
5 |
|
TGV INOUI PRO | tgv grower | ≤5 | 30 |
6 |
|
RATP - Your daily co-pilot | ratp | 38 | 18 |
7 |
|
En Gare | gare routière | 16 | 16 |
8 |
|
Oui Oui 3 | oui | 31 | 43 |
9 |
|
Booking.com: Hotels, Apartments & Accommodation | bôking | 80 | 16 |
10 |
|
Eurostar Trains | eurostar | 30 | 27 |
These five keywords: “ouisncf”, “pnr status”, “p n r status”, “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: “Oui.sncf : Cheap Train & Bus tickets for France”, “OUIGO – La France à partir de 10€ en TGV ????”, “SNCF”, “Omio: Book Train, Bus & Flight Tickets”, “TGV INOUI PRO”, “RATP - Your daily co-pilot”, “En Gare”, “Oui Oui 3”, “Booking.com: Hotels, Apartments & Accommodation”, “Eurostar Trains”, 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 running 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: