As a regional audio business, we're constantly compared to global players like Spotify and YouTube.
Our end of year in-app message set out to do two things: create a genuine point of difference and thank our listeners for the time they spent with us throughout the year.
The Canvas draws on our own listening data across radio and podcast streams to decide what each user sees, surfacing personal facts alongside the content.
Context steps categorise and clean that data before the logic selects the right thank you content for each listener.
The result is a personalised, interactive story with a dynamic slide count.
Slides the user has no data for simply don't appear, so nobody sees an empty screen.
The personalisation, in numbers
- 9 radio hosts recorded thank you videos for their listeners
- 12 local podcast hosts did the same, with a fallback for listeners whose favourite show wasn't covered
- 48 images and 21 videos across the full build14 primary iterations of the in-app message that could be viewed
Results
- An average of 1.5 views per person
- 35% click/interaction rate
- A lot of direct responses back from loyalty listeners and how their listening has impacted their lives throughout the year
