ThinkAnalytics Reveals Impact of Deploying Recommendations Engine and Compares with Editorial

Highlights:

  • Subscribers’ viewing increases by 50 per cent after six months of going live with ThinkAnalytics
  • The number of channels watched increases by 25 per cent after six months
  • Personalized recommendations are two to three times more effective than editorial input

IBC 2015 – September 8, 2015

ThinkAnalytics™, developer of the world’s most deployed multiplatform TV search and recommendations engine, today unveiled the results of live customer deployments that compares the impact of using ThinkAnalytics to recommend live TV and VOD content with editorial recommendations. The results demonstrate that the ThinkAnalytics engine’s ability to personalize recommendations far exceeds the ability of marketing promotions to impact viewing behavior.

The latest results reveal that after deploying ThinkAnalytics across millions of households, the amount of time subscribers spend viewing increases by 20-50 per cent. In parallel, at the same point, the number of channels the average subscriber watched increased by 25-35 per cent.

In addition, across the deployed base of millions of subscribers, VOD uptake increases by 30-100 per cent, depending on the implementation and operator objectives. These benefits are achieved just weeks or months after going live, demonstrating customers’ fast return on investment.

Further statistics comparing the impact of the ThinkAnalytics engine’s personalized recommendations in A/B Testing against editorial curation recommendations show that high quality personalized recommendations far outstrip editorially selected content (graph 3). The ThinkAnalytics personalized recommendations are typically two to three times more effective at driving uptake of recommended content after just six weeks.

These graphs show detailed results of using ThinkAnalytics across a select group of customers:

  

We meet operators who have deployed recommendations engines from other vendors or developed in-house systems, yet seen no material change. This should not be the case. Our extensive experience and expertise allows us to assist operators and service providers in achieving key KPI metrics and driving greater ARPU. We are now doing this across 30 countries in 27 languages with over 150 million subscribers,” said Peter Docherty, Founder and CTO of ThinkAnalytics.

We work closely with our customers to increase ARPU by recommending content that boosts the number of hours watched, channels viewed, programs viewed, and VOD assets viewed/purchased,” added Docherty.

This is not just about having the best search and recommendations platform in the industry, but also about giving each customer the benefit of our in-depth experience and expertise. The results of our research validate our efforts by demonstrating the real business benefits of personalized search and recommendations.

 About ThinkAnalytics

ThinkAnalytics is the most widely deployed real-time personalized content and recommendations engine, bringing together intelligent search with comprehensive media content recommendations. With deployments possible in just weeks, ThinkAnalytics broadens customers’ tastes with a personalized experience for live linear TV, VOD and over-the-top, delivered through multiple platforms including the set-top box, Web, IPTV, tablet, mobile, and more.

The platform, available as a cloud-based or on-premise solution, is based on the industry’s most comprehensive data and text mining techniques. The company’s customer base of over 60 video service providers serves more than 150 million subscribers worldwide. Customers include Cox Communications, Liberty Global, Sky, Swisscom, Viaplay, Unitymedia and Zon.

ThinkAnalytics is a private, employee-owned company jointly headquartered in the U.S. and the UK.

In 2014 ThinkAnalytics received an Emmy® Award for Technology and Engineering from the National Academy of Television Arts & Sciences (NATAS).