One of the ASO manager's objectives is looking for keyword searches that can significantly boost an app’s visibility in search listing. This requires the analysis of relevant keyword searches and identification of those of them that have traffic in countries the product is distributed in.
Posts tagged as “ASO Factors”
Developers care a lot for their product to appear more frequently in application stores’ search results. In order to achieve this, it is necessary to do some proper work on the product’s ASO. Competent approach towards ASO optimization can affect Google Play indexing and getting more queries from the search listing.
People frequently ask us about why would anyone need iterations? Why can’t you just get all of the search queries at once and optimally place them into the application meta data? We believe that there are at least 3 reasons for them.
Strategy alone is not enough to draw users to an App Store product page within the ASO. Your objective, as an ASO manager, is getting people interested in an application and ultimately installing it. You have to optimize all the graphic elements on the app page to the limit, because the visual part affects install conversion rate. Function description on screenshots has to not only inform your potential customers, but rather has to convince them in the product’s utility.
Visual elements of a page is the face of your product.
When landing on your application’s page in the App Store or Google Play, the user initially notices the icon and screenshots. From that moment and on, they only have a few seconds to decide on whether to download the app or not. Screenshots affect install conversion, so a manager that responds for optimization has to monitor the changes at all times and experiment with visual imagery, trying to get a better conversion.
We have gathered the top recommendation on ASO optimization for screenshots for both app stores.
At ASOdesk, we believe that ASO (App Store Optimization) isn't rocket science. For us, ASO is a properly adjusted set of processes on semantic core building, its analysis, and identification of its final hypotheses for the subsequent “in action” check-up.
This article is going to be more valuable for rookies, who just begin working with ASO – it will help them to avoid basic mistakes in the very beginning of their learning.