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OMD China Unveils Smart TV Measurement Tool

Shanghai, China – OMD China, a leading marketing communications and media investment solutions specialist, announced today the launch of Predictor 2.0 - a pioneering tool which is designed to help marketers evaluate the real value of existing TV programs. Predictor 2.0 also predicts future TV ratings by taking into account various factors which influence it.

Brands continue to pay record prices for TV show sponsorships, yet the effectiveness of their investments remains open for deliberation and measurement. Predictor 2.0 quantifies the real value of TV programming through a combination of TV ratings and social buzz created.

“It’s a breakthrough in television measurement. Previously TV had been measured by a one dimensional indicator – “ratings”, said Saurav Bhowmik, Head of Brand Science, Asia, at Omnicom Media Group. “We created Predictor 2.0 in response to a staggering amount of evidence related to social interactions emanating from TV programs. Hence, Predictor 2.0 combines a very important factor ‘social influence’ on TV ratings and also the reverse influence of TV in the social space. Together, these two effects can push a program to its peak popularity or drive the ratings down.”

Additionally, Predictor 2.0 has algorithms and machine learning capabilities to forecast the future of a program to help marketers by:

  • Understanding the audience around a TV show even before it premieres
  • Breaking down the elements of branded content which potentially creates the biggest ratings impact

Currently, there are other program evaluation systems which provide a “forecast” function, but they have a qualitative approach rooted in an expert based scoring system. These systems provide “recommendation scores” instead of directly predicting the ratings. Predictor 2.0 has a more quantitative approach which links program information to social media attention indexes and hence evaluates and recommends content opportunities.

Predictor 2.0 identifies 12 key topics through social big data (at least 10M social posts) and with modeling, links the TV rating to quantify the real value of the program. In addition to social buzz, other factors considered in the prediction model include: the TV channel, celebrities/producers, on-air time-slot, and competition with other key programs. Because of this, it is also feasible to do forecasting for new TV programs as well.

Arlene Ang, CEO OMD China said, “OMD is committed to developing data smart media solutions, and we are continuing to set the industry standard by developing the first program assessing tool. Innovation is key to our success and Predictor 2.0 is an example of how we are committed to being at the forefront of game changing thought leadership.”

Source: OMD