Insights
Insights | 22-02-2017
Co-Viewing on OTT Devices: Similarities and Differences
When we watch television, we often have someone else in our household watching with us: a spouse, a child, a roommate,…
Insights | 22-02-2017
The Big Picture: Technology to Meet the Challenges of Media Fragmentation
It’s a great time to be a media consumer. New streaming technologies with over-the-top (OTT) apps, connected devices…
Insights | 22-02-2017
Using Machine Learning to Predict Future TV Ratings
TV ratings are used to predict the future. They set expectations and affect programming decisions from one season to the…
Insights | 22-02-2017
Measuring The Impact of Advertising One Purchase at a Time
In recent years, the creation of large single-source datasets has been a major boon to the advertising research industry….
Insights | 22-02-2017
Understanding Memory in Advertising
Advertisers and those who measure the impact of advertising are obsessed with memory. If advertising is to be successful,…
Insights | 18-10-2016
Nott Alone: Is OTT Making It Cool Again to Watch TV Together?
Co-viewing in television is the process of watching content alongside other people, typically members of the same…
Insights | 18-10-2016
Using Machine Learning to Predict Future TV Ratings In An Evolving Media Landscape
Media companies and advertisers rely on TV ratings every day to measure the success of TV shows, verify that their…
Insights | 17-10-2016
Using Single-source Data to Measure Advertising Effectiveness
How do we know if advertising works? Is there a way to directly measure the in-store sales results of an advertising…
Insights | 17-10-2016
From Theory to Common Practice: Consumer Neuroscience Goes Mainstream
On a typical day, the average consumer may be exposed to thousands of commercial messages, yet many of them won’t…
