Types of keyword data in Asodesk

Uncover key data metrics that can improve your ASO strategy

Analyzing various types of data, such as app views, downloads, and keyword frequency, is crucial for any ASO specialist. We present you multiple data indicators that can help you craft a top-notch ASO strategy to effectively promote your app and stand out among the competition.

Here are the types of data available in Asodesk:

 

  • Daily Impressions

Approximate number of keyword views per day. This estimation is based on an algorithm that factors in search suggestions, non-specific search source settings data, developer consoles, data on active devices, population, and the distribution of operating systems across different countries.

Learn more in our blog

 

  • Rank

Rank indicates the position of an application in the search results of an app store. Applications that rank higher in search results tend to receive more visibility and attract more downloads from users.

 

  • Search Ads Popularity
The popularity of a keyword, based on App Store searches. Search popularity is 

displayed on a scale from 5 to 100, with 100 indicating the highest level of popularity among users.

 

  • Total Apps
The Total Apps indicator shows how many apps are displayed in search results for a specific keyword. The higher the number of apps, the more difficult it becomes for an app to achieve a top ranking position.

 

  • Keyword Difficulty

Index that shows the difficulty of app promotion for a given keyword. The higher the index, the more challenging it is to compete for that keyword in app promotion.

When determining the Difficulty index, our algorithm considers factors such as Daily Impressions, the number of apps ranked, brand indicator, and other internal metrics.


  • Estimated Installs

Approximate number of daily/monthly installs of an app from a specific keyword.

The calculation of Estimated Installs takes into account factors such as Daily Impressions, app Rank, the number of app reviews and ratings, and various other internal metrics.

 


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