"jobs from home" 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 “jobs from home” will use the data collected by ASOTools for a comprehensive analytic. For example, long tail keyword data: “japanese to english translator”, “tok tok”, “ibrahimovic”, “batatas”, “texas a&m”, “product”.
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 “jobs from home” 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 jobs from home from the ASOTools, as follows:
Top 5 Keywords | Search Volume | KD | Search results | Head apps |
working from home jobs | 53 | 30 | 250+ | 57 |
work from home jobs | 34 | 12 | 250+ | 61 |
real jobs working from home | 9 | 3 | 250+ | 48 |
work from home & side jobs | 6 | 3 | 250+ | 36 |
online jobs from home without investment mobile | ≤5 | 6 | 249 | 71 |
The search volume of the core keyword jobs from home in Google App Store reached 36, its difficulty level reached 6, and the number of apps related to it reached 250+, among them, there are 61 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 | Work From Anywhere - Remote Job Search by Indeed | work at home jobs | 53 | 7 | |
2 |
|
Work Online - Jobs in 48hrs | working from home jobs | 53 | 30 |
3 |
|
Work from home jobs: online business ???? job online | apna lockdown jobs | ≤5 | 21 |
4 |
|
Online job sites - work from home and Earn money | online homework job | 34 | 30 |
5 |
|
Work From Home Jobs - Earn Money Online Daily | home based online jobs | 14 | 7 |
6 |
|
Typing Work - From Home | working from home app | 6 | 30 |
7 |
|
Part Time Jobs, Online / Work From Home Job Search | online part time jobs for students | 21 | 6 |
8 |
|
Data Entry Jobs - Online Work From Home | click india job app | ≤5 | 6 |
9 |
|
Work From Home - Online Jobs | work from home & side jobs | 6 | 3 |
10 |
|
Data Entry - Work From Home | data entry jobs | 41 | 8 |
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 |
voogle | 100 | 47 | 248 | 191 |
93 | 86 | 247 | 215 | |
netflicse | 93 | 30 | 248 | 221 |
netflicix | 93 | 30 | 248 | 220 |
linkin | 85 | 49 | 250+ | 141 |
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 |
|
Voogle | google video search engine | ≤5 | 6 |
2 |
|
oogle | 100 | 86 | |
3 |
|
Google Earth | eather | 100 | 96 |
4 |
|
Google Meet | goigle meets | 83 | 57 |
5 |
|
Google Home | hromecast | 65 | 45 |
6 |
|
Google Voice | google voice | 66 | 25 |
7 |
|
Google Pay: A safe & helpful way to manage money | google pay | 58 | 47 |
8 |
|
Google Classroom | google kelas room | 95 | 34 |
9 |
|
Google Maps Go - Directions, Traffic & Transit | google mals | 93 | 28 |
10 |
|
Google Chrome: Fast & Secure | chrome | 76 | 47 |
These five keywords: “voogle”, “google”, “netflicse”, “netflicix”, “linkin”. 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: “Voogle”, “Google”, “Google Earth”, “Google Meet”, “Google Home”, “Google Voice”, “Google Pay: A safe & helpful way to manage money”, “Google Classroom”, “Google Maps Go - Directions, Traffic & Transit”, “Google Chrome: Fast & Secure”, 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 “jobs from home”. 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: