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Click-to-install rates - an analysis of 12 million app links


Click to install rates an analysis of 12 million app links

Click to install rates an analysis of 12 million app links

Source: https://blog.branch.io/click-to-install-...

All links are not created equal. As you can see by the data, click-to-install rates by feature seemed to have the most variance. Focusing on the right features can have a huge impact on how many people end up opening your app. In comparison, platform type had minimal impact on click-to-install rates.

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These numbers are all a lot higher than I would have thought.

But I guess these reflect once the consumer has already decided to click. 

Getting them to click is still very, very hard. 

And in any case, no wonder Facebook is valuable. 

I had never heard of Branch Metrics and deep views until I read this article.  I ended up spending some time on their site and watching some videos.  Here's a good example:

https://youtu.be/kea90AaQIIw?list=PLGXacLQsJegp3LxN4w6rK_Ah49_eUFsea

The mention that it enables apps to grow virally, so that may be why the numbers are so high.  The tech is impressive.

Thank you for sharing that video, Edward.

I do not believe all of the above apps use this technology. 

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