Anja Obermuller (Head of Product Marketing at Training, Adidas Runtastic - running app) talks about how they increased the app retention by 70%
Even though the retention metric is what you want to optimize on, it is not tangible enough for optimization. You need a proxy metric that corresponds to an essential activity and that correlates with the retention metric.
Once the team was clear on which was the proxy metric needed to be optimized everyone came up with creative ideas on how to do so.
Launched a "featured workout" coming from a content management system. It is not hardcoded in the app so they can release a new one any time they want (independently from app release).
Launched another dynamic feature called challenges that pushes people to do something like staying active for 2 hours for the next 2 weeks. Worked great during the coronavirus crisis.
They created a "growth squad" with people from UA, CRM, product marketing and campaign management focusing on the same thing: getting users to finish their first activity (proxy metric).
Integrated in-line in-App messages to take over some of the communication within the app and talk to their users a better way. It collapses if no messages but if there is it can deep link anywhere within the app.
Even though the retention metric is what you want to optimize on, it is not tangible enough for optimization. You need a proxy metric that corresponds to an essential activity and that correlates with the retention metric.
Once the team was clear on which was the proxy metric needed to be optimized everyone came up with creative ideas on how to do so.
Launched a "featured workout" coming from a content management system. It is not hardcoded in the app so they can release a new one any time they want (independently from app release).
Launched another dynamic feature called challenges that pushes people to do something like staying active for 2 hours for the next 2 weeks. Worked great during the coronavirus crisis.
They created a "growth squad" with people from UA, CRM, product marketing and campaign management focusing on the same thing: getting users to finish their first activity (proxy metric).
Integrated in-line in-App messages to take over some of the communication within the app and talk to their users a better way. It collapses if no messages but if there is it can deep link anywhere within the app.
Even though the retention metric is what you want to optimize on, it is not tangible enough for optimization. You need a proxy metric that corresponds to an essential activity and that correlates with the retention metric.
Once the team was clear on which was the proxy metric needed to be optimized everyone came up with creative ideas on how to do so.
Launched a "featured workout" coming from a content management system. It is not hardcoded in the app so they can release a new one any time they want (independently from app release).
Launched another dynamic feature called challenges that pushes people to do something like staying active for 2 hours for the next 2 weeks. Worked great during the coronavirus crisis.
They created a "growth squad" with people from UA, CRM, product marketing and campaign management focusing on the same thing: getting users to finish their first activity (proxy metric).
Integrated in-line in-App messages to take over some of the communication within the app and talk to their users a better way. It collapses if no messages but if there is it can deep link anywhere within the app.
Notes for this resource are currently being transferred and will be available soon.
Started by asking themselves how often users naturally use the app to understand if the product is built for daily usage, on-demand product or somewhere in between → looked at daily vs. weekly retention.
Examples:
Runtastic created their own framework for this.
For Runtastic, it is crucial to get users to do their first activity as fast as possible (on day 0 even). It makes them much more likely to come back.
[💎@11:17] Once the team was clear on which was the proxy metric needed to be optimized everyone came up with creative ideas on how to do so.
User-facing changes in the product to motivate users to do their first activity:
Accompanied product changes with product marketing:
As a byproduct, they also increased their user ratings.
Started by asking themselves how often users naturally use the app to understand if the product is built for daily usage, on-demand product or somewhere in between → looked at daily vs. weekly retention.
Examples:
Runtastic created their own framework for this.
For Runtastic, it is crucial to get users to do their first activity as fast as possible (on day 0 even). It makes them much more likely to come back.
[💎@11:17] Once the team was clear on which was the proxy metric needed to be optimized everyone came up with creative ideas on how to do so.
User-facing changes in the product to motivate users to do their first activity:
Accompanied product changes with product marketing:
As a byproduct, they also increased their user ratings.
Started by asking themselves how often users naturally use the app to understand if the product is built for daily usage, on-demand product or somewhere in between → looked at daily vs. weekly retention.
Examples:
Runtastic created their own framework for this.
For Runtastic, it is crucial to get users to do their first activity as fast as possible (on day 0 even). It makes them much more likely to come back.
[💎@11:17] Once the team was clear on which was the proxy metric needed to be optimized everyone came up with creative ideas on how to do so.
User-facing changes in the product to motivate users to do their first activity:
Accompanied product changes with product marketing:
As a byproduct, they also increased their user ratings.