
Co-viewing continues to be a major focus of
TV-centric advertisers -- especially when it comes to nonstop digital video competition.
TV still needs to up its game, this despite all that still sizable brand reach.
Nielsen says a
recent pilot co-viewing program shows some key results for the February month.
Why that month? February is typically jammed with major live TV events: “Super Bowl LX”, Olympics
Opening Ceremony, “NBA All Star Game”, “Daytona 500”, Olympics Closing Ceremony, Olympics Men’s Hockey Gold Medal Game, and State of the Union Address.
For
Nielsen’s co-viewing pilot program, there was a 4.2% increase in the total number of viewers in
February.
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Nielsen says its new wearable devices now more accurately captures shared viewing.
All that is well and good -- but can it best all those devices that may already be sitting
with Nielsen’s panel of people?
We speak of mobile phones, which already provide so much data for all those digital video channels -- social media video and yes, connected TV.
Panel-based results, of course, typically have more structure and approval from respondents -- with respondents showing less concern over privacy data issues than those who are not in a panel.
Co-viewing allows brands to optimize the reach of their media spend. The hope is for TV to go beyond “family movie night” or college roommates watching “big game” sports
content -- giving brands access to big brand reach TV across all content.
Even then, co-viewing may still lack the surgical precision that advertisers have come to expect from digital
channels.
Nielsen believes its co-viewing efforts -- along with new Big Data + Panel measurement, and out-of-home measurement expansion, are ramping things up for its advertising clients.
But we are left to wonder -- what about co-viewing in other time periods and from other programming? A 4% hike can be significant for brands. Guessing other times, not so much.
More
importantly, what is the real value when it comes against drilling down to increasing more data that digital video can seemingly provide -- individual consumers buying specific products at specific
times?
If a TV ad aired for running shoes during a co-viewing session and a purchase happened later that night, who sprinted to that purchase? And, another question might be -- who won?