There are more scripted TV shows being made than ever, by one recent count over 400 in 2015, up 10x in the past 10 years. In this sea of choices, how can networks attract viewers and keep them watching? Well, a new study by Canvs suggests that eliciting feelings of hate toward certain characters is the most likely predictor of increased viewership for the show’s subsequent episode.
Canvs said the study is the largest one ever analyzing the correlation between viewership and Twitter data. Canvs is a startup that uses language analytics to detect a range emotions contained in social media, which it then sorts into 56 different categories, such as “hate,” “excited,” “love,” “happy,” etc.). In the study, Canvs looked at tweets related to 5,709 episodes of 432 comedy, reality and drama shows that aired between January, 2014 and June, 2015 across broadcast, ad-supported cable and premium cable networks.
Twitter has released research finding that ads in TV shows that generate strong emotional reactions on Twitter are more likely to be recalled. Twitter conducted the research with Starcom and social TV analytics provider Canvs, which measured the emotional response to the TV shows based on an analysis of viewers’ tweets.
Canvs, which interprets video viewers’ social sentiments about their favorite TV programs and ads across 250 different TV networks, has raised a $5.6 million series A round, led by KEC Ventures, with participation from Rubicon Venture Capital, Gary Vaynerchuck and BRaVe Ventures, Social Starts and Milestone Venture Partners.
I spoke to Canvs CEO and co-founder Jared Feldman last week who explained the company’s approach and why its syndicated research portal has been quickly adopted by almost 3 dozen TV networks, studios, ad and talent agencies to date including Sony Pictures, SMG, NBCU, Viacom and others.