"tft" App Store Keywords Research Case | ASOTools
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"tft" 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 “tft” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “hakuna matata”, “vegetales”, “usain bolt”, “man united”, “atlético”, “wiki”. 

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 “tft” 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 tft from the ASOTools, as follows:

Top 5 Keywords Search Volume KD Search results Head apps
tfts 51 23 250+ 129
tftactics 29 31 250+ 182
tft mobile 27 27 249 164
tftp 18 35 249 223
lol chess tft 12 30 249 169

The search volume of the core keyword tft in Google App Store reached 57, its difficulty level reached 44, and the number of apps related to it reached 246, among them, there are 144 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
Teamfight Tactics: League of Legends Strategy Game riots 55 11
2
Builds for TFT Teamfight Tactics lol chess 41 10
3
TFT Helper - League of Legends tft helper ≤5 30
4
ProBuild TFT - Teamfight Tactics Team Guide LoL lol tft guide ≤5 30
5
TFT Companion - Helper & Guide summoner tft - guide & helper ≤5 30
6
Tacter - TFT Set 4 Compositions Guide & Tierlist tacter 7 11
7
Wiki for TFT tft wiki 8 13
8
TFT Team Comps - LoLCHESS.GG Meta Comps lol chess.gg 26 30
9
Legends of Runeterra r.i.o.t 55 15
10
Tactics - TFT Set 3.5 Guide & Compositions tractor app tft ≤5 30

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
y tuber 100 30 250+ 173
netflicpx 93 51 249 212
twetarr 93 26 249 133
twithr 93 30 250+ 243

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”, “y tuber”, “netflicpx”, “twetarr”, “twithr”. 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 “tft”. 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 “tft