COHORT Analysis of 2018. This is where it began.

We needed to clearly identify the scene so that we could create an ideal scene to build retention for users.

On average less than 34% of users came back on their own to complete their registration without re-targeting, with week 2 at less than 1%.

If I were to show the cost analysis board you would understand how much money the company has lost due to not re-targeting with no observation of retention after the first touch.

June 2018 had the largest conversion rate after the first touch, installation and the registration as sequential steps taken by the consumer.

However Aug-Sept had the largest cohort size and second largest conversion rate.

What are the actionable steps?

The next steps were to delve deeper into the ad sets as well as the design of new ad campaigns specifically to re-target and increase week 2 retention with in budget.

To learn more about how you can use data science to increase retention, sign up for a complimentary strategy session.

Strategy Session