The next five to 10 years will bring enormous changes to the television media and advertising world. Not the least of those changes will be the development and use of new models to optimize the
purchase of TV ad spots.
The Internet has shown marketers the power of delivering their messages to people, not just pages, and measuring the actual result of each and every impression. The
same model is coming to television, where the availability of massive amounts of anonymous set-top-box viewing data is now enabling TV networks, advertisers and their agencies to begin to separate
people from the programs they watch, and start adjusting media and marketing to viewers in ways that were not possible before. The concept of reach and frequency will never be the same.
When
you focus on the people watching ads, not just the programs where the ads are presented, lots of things change. There is no better place to see this than watching how people respond to on-air program
promotions, since anonymous set-top-box data permits you to measure the actual impact of the results with near-absolute certainly, and very quickly.
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Using my company's access to
anonymous viewing data from more than 15 million U.S. set-top boxes, we try to understand how people view television programming, and how to best inform them about shows they might enjoy.
One
of our most important findings -- though not surprising -- is that different people view television differently, and they have different thresholds of responsiveness to program promotions. These
thresholds are very predictable across segments of people according to their historical preferences for genres of programs, or loyalty to certain networks, or loyalties to watching television on
certain days and at certain times.
Some segments of viewers only need to see one program promotion within 24 hours of the airing of a program to dramatically increase the number of those
viewers that will actually watch the show. Some other segments of viewers might need to view three or four on-air program promotions within several days of the show to increase their likelihood to
view. And yet other segments won't increase their likelihood to view a show no matter how many promos they see.
Different segments of people require different "minimum motivational
frequency" to cause them to change their behavior, or to reinforce historical behaviors. In television of old, there wasn't very much that you could do to either discover or exploit the
concept of differential minimum motivational frequency. Our research has shown that legacy modeling methods like demographics are lousy predictors of people's motivational thresholds. As you can
imagine, delivering on-air program promotions optimized to the minimum motivational frequency of the recipients will result in significantly more effective program marketing, and dramatically less
waste. Further, if it works in program promotion, it certainly should work for most marketing categories, from consumer packaged goods to consumer electronics.
What do you think? Will
concepts like minimum motivational frequency eventually supplant more generalized media models like reach and frequency? Why shouldn't all ads, across all media, be optimized that way over
time?