Company

Allente is a leading pay-TV operator in the Nordics, serving close to 800,000 households in Norway, Sweden, Denmark and Finland. The service portfolio comprises more than 130 linear TV channels and a TV Everywhere service with Live TV and a vast library of TV series and movies on-demand.

As the media industry has evolved away from live television towards prerecorded viewing and mobile, so too has Allente. They launched their TV Everywhere service in 2014, and it quickly dominated the App Store charts in Norway and Sweden. Jon Espen Nergård, Chief Product & Data Officer  at Allente, has been with Allente throughout their evolution. To learn about the new ways in which viewers were engaging with their content, Jon Espen looked to Mixpanel.

Why Allente chose Mixpanel

When looking for an analytics provider, Jon Espen considered several other solutions. But as he says, “after meeting the team at Mixpanel, I understood that it could be the sole solution we needed. Very few tools are as flexible as Mixpanel and let you measure the way that makes the most sense for your business.”

“Before Mixpanel, we didn’t have the insights we needed to personalize our content recommendations,” Jon Espen continued. “Just a few years later, we have a robust personalization engine in place, with real-time insights across our audience segments. On top of that, out of all the partners and vendors I’ve worked with, Mixpanel has one of the best support teams ever. We’ve never waited more than two hours to get an answer, and they are always polite and helpful and always look to guide us in a solution.”

Results

Learning how to optimize time-shifted viewing

Allente was originally a satellite TV operator, but with the advent of DVR and time-shifted viewing, or on-demand viewing, increasing in popularity, they started recording 80% of what airs across their network to replay to subscribers at a later time. To optimize their time-shifted offering, they export Mixpanel viewing behavior into Google BigQuery using Mixpanel’s data warehouse export feature. This allows them to combine user behavior with program guide metadata. With all this insight, they build audience segments and seamlessly import them back into Mixpanel as cohorts for further analysis and engagement.

“Thanks to these insights, we know what to display on mobile versus desktop,” said Jon Espen. “We can see when viewers are using their mobile phone to help calm their kids down in the morning before school, or watching the news with their breakfast. As a result, we can optimize content recommendations based on the time of day and our subscriber’s day-to-day viewing needs.”

Personalizing content recommendations based on behavior and platform

“Mixpanel has made it possible to deliver more personalized content recommendations,” said Jon Espen. Allente built a deep learning recommendation engine that correlates content. When Mixpanel sends it insights on what shows subscribers like and don’t like, it delivers content back to viewers based on their preferences.

What’s next?

Jon Espen and his team at Allente are excited to use analytics across more aspects of their business. In the near future, Mixpanel will be helping their Product team to optimize their paid advertising strategy by fueling their real-time TV advertisements, known as dynamic ad insertions.