"train timings" 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 timings” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “bbc iplayer”, “moon”, “lovoo”, “baby”, “dance”, “an”.
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 timings” 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 timings from the ASOTools, as follows:
| Top 5 Keywords | Search Volume | KD | Search results | Head apps |
| mumbai suburban train timings | ≤5 | 30 | 250+ | 108 |
| mmts train timings hyderabad | ≤5 | 21 | 249 | 216 |
| mmts train timings | ≤5 | 9 | 250+ | 182 |
| train timings app | ≤5 | 7 | 250+ | 125 |
| train timings app download | ≤5 | 7 | 250+ | 116 |
The search volume of the core keyword train timings in Google App Store reached 51, its difficulty level reached 15, and the number of apps related to it reached 249, among them, there are 134 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 |
 |
Indian railway app local train time table Kolkata | sigmoid labs and its affiliates | ≤5 | 20 |
| 2 |
 |
Live Train Status, PNR Status, Fare & Live Station | train running status live all station | ≤5 | 30 |
| 3 |
 |
Train Info | etrain info | ≤5 | 30 |
| 4 |
 |
Indian Railway - All Solutions in One Place | indian railway ress app | ≤5 | 5 |
| 5 |
 |
LIVE TRAIN STATUS | live train status | 41 | 21 |
| 6 |
 |
Train Enquiry Offline | enquiries | 46 | 9 |
| 7 |
 |
Railway Information Offline - Train Time Table | rail time offline timetable | ≤5 | 7 |
| 8 |
 |
Live Train Location : Indian Railway IRCTC App | 02809 | ≤5 | 15 |
| 9 |
 |
Euro Train Drive Adventure | traindrive | ≤5 | 8 |
| 10 |
 |
NYC Transit: MTA Subway, Rail, Bus Tracker | transit tracker - new york | ≤5 | 4 |
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 | 28 | 250+ | 180 |
| goggle mapp | 93 | 33 | 249 | 170 |
| google mals | 93 | 29 | 249 | 173 |
| oogle maps | 93 | 23 | 249 | 160 |
| goggles map | 93 | 21 | 250+ | 163 |
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 | 44 |
| 2 |
 |
myStop® Mobile | michigan bus | 20 | 12 |
| 3 |
 |
Translate All, Text & Voice Translator - Tranit | trait | 43 | 28 |
| 4 |
 |
OneBusAway | one bus away | 13 | 11 |
| 5 |
 |
Chrono Mobile – Bus, metro and train | chrono | 34 | 41 |
| 6 |
 |
MyTransit NYC Subway, MTA Bus, LIRR & Metro North | staten island railroad | 6 | 25 |
| 7 |
 |
NextBus | next bus | 37 | 11 |
| 8 |
 |
Metro Transit | metro transit | 32 | 4 |
| 9 |
 |
Transit Tracks: Chicago CTA | cta bustracker | 39 | 42 |
| 10 |
 |
New York Subway – Official MTA map of NYC | nyc subway | 31 | 11 |
These five keywords: “traset”, “goggle mapp”, “google mals”, “oogle maps”, “goggles map”. 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”, “myStop® Mobile”, “Translate All, Text & Voice Translator - Tranit”, “OneBusAway”, “Chrono Mobile – Bus, metro and train”, “MyTransit NYC Subway, MTA Bus, LIRR & Metro North”, “NextBus”, “Metro Transit”, “Transit Tracks: Chicago CTA”, “New York Subway – Official MTA map of NYC”, 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 timings”. 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: