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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 the right way to perceive new consumer activation, and half three covers the right way to re-engage dormant customers.

 

To enhance retention, it is advisable to perceive why folks use your product within the first place. Analyzing consumer engagement helps you be taught which options preserve customers coming again. With these insights, you’ll make smarter product improvement and enchancment selections.

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 the right way to use Amplitude to drive consumer 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 usually they’ve adopted a particular function and the way that impacts engagement and retention.
  • Retention evaluation allows you to determine 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 have to assess what number of customers interact together with your product options and the way usually.

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 usually.

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 consumer engagement based mostly on how usually every function is used and what number of month-to-month lively customers interact with the function.

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

  • Search music or video
  • Choose music or video
  • Favourite music or video
  • Obtain music 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 reveals that 97.91% of month-to-month lively customers favorited a music or video a mean of 38 instances up to now six months.

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

Perceive utilization behaviors with historic counts

Now that we’ve decided our hottest options, let’s dive into the function utilization patterns. This will likely reveal totally different retention charges between customers who engaged with a function as soon as and customers who engaged with that very same function for the third, 4th and even fifth time.

Measuring consumer conduct throughout totally different historic utilization patterns might help you obtain a deeper stage of understanding whenever you’re investigating why your customers are retaining, changing, or partaking—or why they’re failing to do this.

We will use the historic depend function within the Occasion Segmentation chart to measure which customers interact with our options most incessantly and use these segments to measure how 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 reveals which customers have traditionally favorited a music or video between one and 5 instances.

We will 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 knowledge to find out if function adoption impacts different outcomes, like consumer retention.

Use retention evaluation to determine energy customers

To construct higher engagement methods, it is advisable 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 reveals us how usually customers come again to the product after taking a particular motion, like favoriting a music. We will use the behavioral cohorts we created with historic counts to determine probably 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 reveals that the retention price for customers who favourite a music greater than thrice is constantly larger than that of all customers.

At AmpliTunes, we in contrast customers who favourite a music greater than thrice with all customers. The consequence? Energy customers who favourite a music greater than thrice have a lot larger retention than those that don’t.

Primarily based on this data, we discovered that favoriting songs probably results in larger 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 consumer engagement

Listed here are some corporations that improved retention after analyzing consumer 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 discovered 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 truly 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 buddies on non-public “frequencies.” However retention evaluation in Amplitude confirmed that the best retention price after 30 days was amongst customers who engaged with public frequencies, not non-public ones.

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

Enhance retention throughout your whole product

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


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