If you scroll through Facebook, Instagram, or TikTok, chances are you’ll see a video ad created by TubeScience, a “pay for performance” video partner whose direct-to-consumer ads run on most major social media networks. TubeScience is not a traditional ad agency. When the company takes on a new partner, it invests upfront in every step of the video ad creation process: research and development, historical analysis, script writing, casting, shooting, and editing.
TubeScience is so confident that the ads it produces will outperform competitors’ offerings because the team isn’t guessing when they iterate on their ads; they put at least one experiment predicated on human behavioral science into every video to help produce the most effective version possible. In addition, TubeScience fights “ad decay” by creating numerous versions of each ad via ongoing visual refreshes, different openers, and changes in the ad text—continual small tweaks so the ad stays fresh and continues to grab eyeballs, helping many clients scale well into seven figure-plus ranges profitably in a single channel alone.
While TubeScience relies on its creative teams to produce its compelling videos, it depends just as heavily on its small data team, composed of data engineers and BI analysts, to help power the data-driven calibration that results in such precisely optimized social media ads.
“Coalesce has not only been a 3x productivity multiplier for our data team, it has helped us restore trust and enhance collaboration with the business.”
— Jay Gimple, Chief Data Officer, TubeScience