tvScientific said it was granted a patent for its technology that optimizes television ad campaign outcomes.
The company’s patented technology uses artificial intelligence to automatically optimize TV advertising to meet the outcome goals set by advertisers, including cost per sale, cost per app install, cost per website visitor and cost per call.
“For as long as TV has been around, the best advertisers could hope to achieve is delivering ads to TV audiences based on reach and frequency KPIs, targeted by indexes that approximate audience demographics based on what shows the audiences watched, as determined by a relatively minuscule panel of TV viewers,” tvScientific co-founder and CEO Jason Fairchild said.
“This archaic system, in place since the 1950s, has resulted in a TV advertising marketplace that is dominated by just a couple hundred national advertisers (85% of the $63.1 billion TV market) and has resulted in stagnant growth for years,” Fairchild said. “Meanwhile, digital advertising in the U.S. has grown to $269 billion, led by companies that have built their ad businesses on delivering measurable outcomes to advertisers. These outcome-based ad markets, led by Google and Facebook, have exploded and now claim up to 9 million advertisers.”
The tvScientific system ingests signals from internal and external datasets and uses advanced machine learning algorithms to determine which sets of signals are driving success for a given campaign. The system then dynamically optimizes that campaign toward what drives those outcomes and away from what doesn’t, delivering an improved return on investment for its users.
This newly granted patent follows tvScientific’s earlier patents.
