SUCCESS STORIES

CNN.GR significantly grows RPM and Pageviews following migration to Feed

"The Taboola Feed adaptation led to significantly positive results both in performance and monetization metrics. Project Agora’s account management team has been and continues to be a true partner, always prompt and on call, providing their expertise and assistance."
Tina Ferentinou, CCO of DPG Media
Facts

Type of client: Publisher

Solution: Content Recommendation Feed, powered by Taboola

Country: Greece

Objective: User Experience and Revenue

Publisher Objectives

CNN.gr, being one of the leading digital publishers in Greece, sets the highest standards in optimizing their sites and providing a unique and meaningful experience to their readers. When it comes to content recommendation platforms, their objectives were set on two main axes: User Experience and Revenue.

Challenge

On the User Experience level, CNN.gr sought a content recommendation tool that would easily adapt with zero technical conflicts to their existing set up and enhance user engagement metrics such as: uplift in Recirculation, Pageviews and Time spent per Session and decrease of Bounce Rate. As far as revenue is concerned CNN.gr looked to couple the uplift in User Experience with an uplift in the Revenue per Thousand Pageviews (RPM).

Our Solution

CNN.gr joined forces with Project Agora to implement the content recommendation Feed, powered by our partner Taboola, to provide a personalized reading experience in a purely native, non-intrusive way.

A personalized reading experience for every user

With a diverse editorial spectrum on CNN.gr, the main goal was to provide a personalized reading experience for users while consuming content.

Taboola’s algorithm took into account the site’s performance in conjunction with the traffic channels and provided that very unique experience for every user. The content recommendation Feed did not just provide content in bulk, but instead generated a unique personalized experience for readers in real time. The content recommended for every user was generated depending on that specific user’s reading pattern and became more specific as time went by.

In terms of UI/UX there was a variety of options on how to serve the content on site. Feed was incorporated in a purely native way with the site’s existing design and wasn’t intrusive to the readers’ experience.

Results

The Feed adaptation led to significantly positive results both in performance and monetization metrics. In regards to revenue RPM was uplifted by +32%. At the same time Bounce Rate decreased by -9.5% and Pageviews per Session were boosted by +10.3%.