"sequences" 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 “sequences” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “hill climb race”, “movies free download”, “sounds for cats”, “3d wallpapers”, “wynk music”, “tie dye”.
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 “sequences” 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 sequences from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
consequences meaning | 33 | 24 | 250+ | 148 |
sequences and series | 23 | 11 | 250+ | 90 |
unintended consequences | 14 | 33 | 250+ | 222 |
consequences of global warming | 14 | 19 | 249 | 138 |
yoga sequences | 14 | 2 | 250+ | 43 |
The search volume of the core keyword sequences in Google App Store reached 43, its difficulty level reached 9, and the number of apps related to it reached 249, among them, there are 30 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 | Number Sequence Solver | maths sequences | ≤5 | 30 | |
2 |
|
Sequences of Real Numbers | real numbers mathematics | ≤5 | 30 |
3 |
|
Sequence : New(2020) Board Game | sequence | 41 | 33 |
4 |
|
Number Sequences | number sequences | ≤5 | 30 |
5 |
|
Wild Jack: Card Gobang | jacks 2 | ≤5 | 10 |
6 |
|
Sequences - Performing tasks — AMIKEO APPS | sequencing tasks | ≤5 | 9 |
7 |
|
Fibonacci Sequence Generator | fibonacci numbers | 31 | 12 |
8 |
|
Number Series Calculator | recursive equation | 12 | 35 |
9 |
|
Complex Number Sequences & Series | sequences and series | 23 | 11 |
10 |
|
MyGame Sequences | isequence | ≤5 | 11 |
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 |
sgnail | 77 | 50 | 249 | 215 |
hatelegram | 73 | 67 | 250+ | 247 |
suolongo | 66 | 30 | 250+ | 30 |
cbs | 61 | 46 | 250+ | 110 |
alphab | 60 | 62 | 250+ | 62 |
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 |
|
Signal Private Messenger | signal | 54 | 65 |
2 |
|
Signal Strength | lakshman | 24 | 32 |
3 |
|
Signal Spy - Monitor Signal Strength & Data Usage | signalspy | ≤5 | 30 |
4 |
|
Network Signal Guru | guru network limited | ≤5 | 23 |
5 |
|
سیگنال | signal sejam | ≤5 | 23 |
6 |
|
Opensignal - 3G & 4G Signal & WiFi Speed Test | open signal | 31 | 14 |
7 |
|
Daily forex signal | daily forex signals | ≤5 | 1 |
8 |
|
Signal | signal - приватный мессенджер сигнал на русском | ≤5 | 22 |
9 |
|
Signal® by Farmers® | signal by farmers | 13 | 24 |
10 |
|
Network Signal Info | сеть | 19 | 41 |
These five keywords: “sgnail”, “hatelegram”, “suolongo”, “cbs”, “alphab”. 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: “Signal Private Messenger”, “Signal Strength”, “Signal Spy - Monitor Signal Strength & Data Usage”, “Network Signal Guru”, “سیگنال”, “Opensignal - 3G & 4G Signal & WiFi Speed Test”, “Daily forex signal”, “Signal”, “Signal® by Farmers®”, “Network Signal Info”, 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 “sequences”. 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: