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HomeProduct ManagementRetention as Your Development Engine Half 2: Drive Engagement and Stickiness

Retention as Your Development Engine Half 2: Drive Engagement and Stickiness


That is half two of a three-part collection on Retention as Your Development Engine. Half one covers learn how to perceive new person activation, and half three covers learn how to re-engage dormant customers.

 

To enhance retention, you might want to perceive why folks use your product within the first place. Analyzing person engagement helps you be taught which options maintain customers coming again. With these insights, you’ll make smarter product growth and enchancment choices.

By prioritizing the options your customers love most, you’ll create a stickier product to retain new and present prospects over time. Let’s stroll by way of learn how to use Amplitude to drive person engagement.

Key takeaways

  • Discover out which options your customers interact with most to find out how customers get worth out of your product.
  • Group customers into behavioral cohorts based mostly on how typically they’ve adopted a particular function and the way that impacts engagement and retention.
  • Retention evaluation allows you to establish energy customers and the options they use most, so you possibly can uncover how your product appeals to your most engaged customers.

Uncover what customers love with the function engagement matrix

To develop a greater understanding of the high-level patterns of function engagement in your product, you first must assess what number of customers interact along with your product options and the way typically.

Let’s return to our earlier instance the place I’m a product supervisor for AmpliTunes, an internet music streaming service. With Amplitude’s Engagement Matrix, we are able to see what number of customers interact with every function in our product and the way typically.

This example displays user engagement based on how often each feature is used and how many monthly active users engage with the feature.
This instance shows person engagement based mostly on how typically every function is used and what number of month-to-month energetic customers interact with the function.

The highest proper exhibits our hottest options—the occasions carried out with excessive frequency by a excessive variety of customers. In AmpliTunes, these options embody:

  • Search track or video
  • Choose track or video
  • Favourite track or video
  • Obtain track or video
The call-out box shows that 97.91% of monthly active users favorited a song or video an average of 38 times in the past six months.
The decision-out field exhibits that 97.91% of month-to-month energetic customers favorited a track or video a median of 38 instances prior to now six months.

As we are able to see above, over 97% of month-to-month energetic customers interact with the “Favourite track or video” function. It might be attention-grabbing to know whether or not the frequency with which they favourite a track has an influence on the general person retention price. Primarily based on this perception, we’d contemplate extra methods for them to have interaction—for instance, by producing a customized playlist after a person favorites a track.

Perceive influence of frequency with historic counts

Now that we’ve decided our hottest options, let’s dive into the utilization frequency of those options. This may occasionally reveal completely different retention charges between customers who engaged with a function as soon as and customers who engaged with that very same function a number of instances.

Measuring person habits throughout completely different frequencies of every motion helps you obtain a deeper stage of understanding once you’re investigating why your customers are retaining, changing, or participating—or why they’re failing to try this.

We are able to use the historic depend function within the Occasion Segmentation chart to measure how often customers have adopted a particular function in final 30 days, section them accordingly, and use the segments to measure how function frequency impacts retention.

This example shows how many users have favorited a song or video between one and five times in the last 30 days.
This instance exhibits what number of customers have favorited a track or video between one and 5 instances within the final 30 days.

We are able to additionally group customers into behavioral cohorts based mostly on what number of instances they’ve adopted a function. By saving these behavioral cohorts in Amplitude, we are able to use this information to find out if function adoption impacts different outcomes, like person retention.

Use retention evaluation to establish energy customers

To construct higher engagement methods, you might want to know why customers return to your product within the first place. By figuring out energy customers and which options they use most, you’ll be taught what makes your product interesting to your most engaged customers.

Amplitude’s Retention Evaluation exhibits us how typically customers come again to the product after taking a particular motion, like favoriting a track. We are able to use the behavioral cohorts we created with historic counts to establish essentially the most engaged customers.

This graph shows that the retention rate for users who favorite a song more than three times is consistently higher than that of all users.
This graph exhibits that the retention price for customers who favourite a track greater than thrice is constantly increased than that of all customers.

At AmpliTunes, we in contrast customers who favourite a track greater than thrice with all customers. The end result? Energy customers who favourite a track greater than thrice have a lot increased retention than those that don’t.

Primarily based on this info, we realized that favoriting songs presumably results in increased retention. To check our speculation, we are able to immediate customers to favourite songs and see if this improves retention throughout all customers.

Uncover real-world examples of person engagement

Listed here are some corporations that improved retention after analyzing person engagement:

Showcase IDX

The product staff at Showcase IDX, a number one IDX WordPress plugin for actual property, found a substantial drop in customers saving searches after a UI redesign. In Amplitude, they realized that not everybody who beforehand clicked “save search” needed to make use of that function. In the meantime, the customers who needed to avoid wasting a search couldn’t discover the button anymore.

After redesigning the UI based mostly on insights from Amplitude, Showcase IDX noticed a 20 to 25% enchancment in retention. Plus, conversions greater than doubled as a result of customers who really needed to click on “save search” accomplished that motion.

Walkie-talkie

When the staff on the social audio app Walkie-talkie launched a brand new onboarding course of, they pushed new customers to attach with their pals on personal “frequencies.” However retention evaluation in Amplitude confirmed that the best retention price after 30 days was amongst customers who engaged with public frequencies, not personal ones.

After shifting the onboarding focus to public frequencies, Walkie-talkie noticed their 30-day retention price improve from just below 8% to over 20%. With out these insights from Amplitude, the product staff would doubtless have continued constructing on inaccurate assumptions about how customers most popular to make use of their product.

Increase retention throughout your complete product

To enhance the retention of latest and present customers, you’ll additionally need to work to perceive new person activation (half one) and re-engage dormant customers (half three) to forestall churn. Study extra in our Mastering Retention Playbook.


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