LinkedIn is a business and employment-focused social media platform to find jobs, research companies, and get news about their industry and business connections. LinkedIn is one of the largest social network apps for online jobs, business & industry news. The goal of the company is to enable registered members to establish networks of people they know and trust professionally. With millions of users across the globe, LinkedIn is no doubt one of the best professional media in app stores today.
With stellar popularity, there’s no doubt that LinkedIn has already established a high ranking in the Google Play Store. As this might be the case, there’s still a lot of work to do. there is still a way to maximize their app store visibility and therefore increase their chance of getting noticed. For example, LinkedIn is ranked number 8 in the Business category at the time of this writing.
In this ASO audit, let’s take a look at how LinkedIn can improve its keyword ranking in the most efficient way possible.
We did a quick keyword research for LinkedIn. We have shared the details at the end of this post.
Looking at the research result, we can see that we are already ranking for some important keywords. Nevertheless, we have identified some great opportunities for us to take advantage of.
In this situation, ASO intelligence tools come in handy. These tools are effective in identifying popular keywords with the lowest competition. For example, in ShyftUp, we use Mobile Action to perform reliable keyword research.
Among the results we get is the term Search Score. Here’s a quick overview:
Going back to the results that we got, here’s how LinkedIn’s ranking looks like:
We also did research on competitor keywords. We got the following results:
The results show us that there is a lot of room for improvement. To ensure that we climb up the rankings, we should use these keywords in our metadata.
The title of LinkedIn in the Google Play Store is this:
LinkedIn: Jobs & Business News
LinkedIn already has a solid and compelling title. Take note that the Google Play Store allows us to use up to 30 characters for the title. As of now, LinkedIn is using 30, and that’s good.
Looking at the search scores of the keywords included in the title, the search score of “jobs” is 56, “business” is 53, and “news” is 72. As you can see, all the keywords have high search scores, and we can conclude that LinkedIn chose a title rich in keywords. However, there is a great opportunity for improvement.
To ensure we stay competitive, we must test the title and its keywords regularly. The keyword pool is a good place to start. From there, we should continuously check how many keywords we are ranking for that are in the title. For instance, we could check the keyword “jobs” in our keyword pool.
After starting to use the “jobs” keyword, do we start ranking higher for these keywords? Do we start ranking for more keywords that include “jobs”? If the keywords are not improving our ranking, then we should test other keywords and their variations.
In this case, we can try a new title like:
LinkedIn: Professional Network
As you can see, we have added the words “professional”, & “network” and excluded the words “jobs”, “business”, & “news”. This is a great move in terms of keyword ranking for the following reasons:
All these changes to the title can potentially improve keyword ranking. However, please note that there are other combinations and possibilities when it comes to using keywords.
That’s the reason you need to test these keywords constantly. You should check your keyword ranking every week and see if the changes in your title bring better results.
The short description of LinkedIn in the Google Play Store is this:
Find relevant job openings, set up alerts and get salary insights with LinkedIn
Google allows us to use up to 80 characters in the short description. As of now, LinkedIn uses 79 characters.
Looking at the search scores of the keywords included in the short description, the search score of “find” is 51, “relevant” is 49, “job” is 56, “openings” is 51, “set up” is 44, “alerts” is 41, “get” is 51, “salary” is 46, and “insights” is 51. As you can see, all the keywords have high search scores, and we can conclude that LinkedIn has a solid short description.
As this might be the case, we want to start testing new variations to explore possible ways to improve our ranking further. To do this, there are two options:
After conducting keyword research and selecting the highest-density keywords from the keyword pool, it’s time to work on LinkedIn’s short description. That is when we can get help from our new AI friend ChatGPT.
Here is an example:
To insert high-density keywords, you can give these comments to the ChatGPT respectively:
Next, you can either select one of the short descriptions and apply it to the Main Store Listing page, or run an A/B test using the Store Listing Experiments tool.
To ensure we stay competitive, we must test the short description and its keywords continuously. One way to improve the short description is to go to the keyword pool. From there, we should continuously check how many keywords that are in the short description. For instance, we should check the keyword “networking” in our keyword pool.
After starting to use the “networking” keyword, do we start ranking higher for these keywords? Do we start ranking for more keywords that include “networking”? If the keywords are not improving our ranking, then we should test other keywords and their variations.
The long description of LinkedIn in the Google Play Store is this:
Similar to the short description, you can:
After conducting keyword research and selecting the highest-density keywords from the keyword pool, it’s time to work on LinkedIn’s long description. That is when we can get help again from ChatGPT.
To insert high-density keywords, you can give these comments to the ChatGPT respectively:
Then you can add these keywords to your long description correctly to the suggested places. After ChatCPT generates a new Long Description, please check the whole text and make your own judgment call. Also, please keep in mind that you are allowed to use 4000 characters.
Looking at the ratings, we can see a lot of things to improve here. Take note that LinkedIn, at the time of this writing, has an average rating of 2.8 stars from more than 2.57M users.
Let’s compare that to their competitors:
We do need to improve app features and overall user experience to raise the ratings and get more positive reviews.
Most negative comments and low ratings come from users who experienced bugs and glitches. This is something we can totally avoid by ensuring the app works smoothly. Once we have gotten rid of all these bugs, then we can start seeing an increase in our ratings.
Make sure as well to reply to the users. Thank users who gave high and positive ratings. Reply to the users who gave low and negative ratings. Solve their issues as quickly as possible to turn them into satisfied users.
Screenshots can dramatically increase your installs. It gives you the opportunity to highlight user experience within the app and give users a detailed idea of how the app works.
As we take a look at LinkedIn’s screenshots, we can see that they have chosen great images. However, LinkedIn can use more value-oriented headlines on the screenshots. It is super important to select screenshots that show the value, features, and reasons why users should use your app.
In short, screenshots must convince users to choose your app.
The Google Play Store allows us to use up to 8 screenshots. However, these screenshots don’t have equal exposure. As you may already know, potential users will initially see the first three screenshots. They need to open your page to see the rest of them.
With this in mind, you need to choose the best and most important screenshots and place them on the first three screenshot slots.
To determine which screenshots give you the best result, A/B testing and Google’s Store Listing Experiments are always the best way to go.
This data is pulled from Mobile Action.
Disclaimer: In this ASO Audit, we haven’t used any private data, we have purely used public data.