-->

How Can AI Identify Emotions That Make Up the "Holiday Spirit" in CTV Content? A Q&A With Wurl's Ron Gutman

Article Featured Image

Ron Gutman, CEO of Wurl, discusses their Gen AI-powered technology that matches CTV ads to the emotion and context of what viewers are watching using Plutchik's Wheel of Emotions. They have found that the core emotions that make up the “holiday spirit” are trust and joy. Additionally, they found that holiday channels maintain strong viewership throughout the year, not just during the holiday season, meaning CTV marketers might need to rethink their seasonal strategies. Another finding was that this past October had one of the lowest "holiday spirit"-oriented viewerships, likely due to the US election.

(This interview has been edited for clarity and length).

Tyler Nesler: What I found really interesting is that you're trying to measure emotion, which is, in a sense, measuring qualitative data, and then you're turning into quantitative data. How were “trust and joy” specifically determined to be the primary holiday spirit emotions? What kind of data and insight were gleaned to confirm that these are sort of the baseline emotions of the holiday spirit?

Ron Gutman: Empirically, when we measured the emotions of things that were always involving joy and trust…[it is] family, a calm and safe situation. That's usually what comes together. But when you go deep contextually, it's not just the emotions. We're also looking at the text and objects that are related to the holiday spirit, and we have a confidence level above the threshold. If the content is above the threshold with all the signals that we have for the holiday spirit, then we tag the bid request with the holiday spirit, and advertisers can bid programmatically. That's basically how the ecosystem is set up. So, the emotions are good, but the advertisers want other kinds of packaging, and because we have all this data coming from our AI, we can package it in different ways, and the holiday spirit was one of them.

TN: I thought another really interesting find is that holiday channels maintain strong viewership throughout the year, not just during the holiday season. Do you have any deeper insight into why holiday channels remain relevant to people throughout the year?

RG: I think it goes back to [that] emotions are visceral. You want to [feel] trust and joy if you don't have it. I think that's why people watch TV in general. It's a sort of escapism.

TN: So essentially, it sounds like for holiday channels to remain relevant to people throughout the year, they need to continue to lean into sparking these senses of trust and joy in their viewership.

RG: That's right. And the way that we measure it, AI [can] recognize emotions because it's all trained unsupervised on human text [from] the internet [over] the last 20 years. Basically, the one thing that trains [on AI] very well is emotions because we can't hide them. The text is full of it. Even in 2017 with OpenAI, one of the first things they noticed [is that] it is very easy to detect someone's feelings, and it's well established from reading texts and later on, from analyzing pictures and analyzing music. By the way, because the [music] content is edited so well on television, we found a very high correlation just analyzing the music. We know what emotions people are likely to feel when they watch [programming combined with specific music].

TN: Another surprising discovery is that October is the lowest for holiday viewership, which seems counterintuitive. Was there any insight into why this happens in October in particular?

RG: [In October], people like to watch scary content because we have Halloween. And [this year], you had people under continuous stress about the elections. Some political advertisements were around trust, but many were just [focused on] fear and anger. Anger is really good if you want to push people forward to action, which we had more of in the last two weeks before the election.

TN: With this discovery that year-round holiday channel content viewership is a thing, how can CTV marketers rethink their strategies? I would imagine that there were previously specific seasonal strategies, but now, how can they implement them throughout the year?

RG: Emotions [need to have a good correlation with content and advertising]. This is why CTV, in general, is so good because you have 30 seconds of attention compared to social [with] three seconds, so [on CTV] you can really build up the emotional story. That's how people remember brands and products. If you have this resonance and use the [programming content’s] emotions before the ad break and people are already there, that helps you deliver the message, and we see it empirically [when] measuring the results.

Streaming Covers
Free
for qualified subscribers
Subscribe Now Current Issue Past Issues
Related Articles

AI-Powered Insights for Film and Beyond: How Cinelytic and Callaia Are Streamlining Content Decisions

In a recent interview with Streaming Media's Jan Ozer, Cinelytic CEO Tobias Queisser discussed how the company's namesake platform offers media professionals a streamlined mechanism to assess a film's potential success before production even begins, and provides actionable insights into casting, budget optimization, and distribution strategies.

IBC 2024 Streaming Media Digest – AI, 5G, Live Sports, Monetization, Content Curation, and More

ICYMI: here is a complete collection of Streaming Media's IBC 2024 coverage. With exhibitors, speakers, and visitors from more than 170 nations, this year's event was an in-depth cornucopia of all the latest streaming, broadcasting, media, and entertainment hot topics, including AI, 5G, live sports, content creation, and much more.

Gatsby TV CEO Gatsby Frimpong Talks AI, Streaming Content Discovery, and The “Paradox of Choice”

Gatsby TV CEO Gatsby Frimpong has created a streaming programming discovery app that applies AI and user recommendations to help viewers discover what to watch next on services like Netflix, Hulu, Prime, Disney, and more. In this interview with Streaming Media's Tyler Nesler, he discusses his professional background, what led him to create the app, how it helps customers save money, the AI foundation model it uses, and more.

CTV Advertisers Losing 4-8% of Viewers Per Break, Wurl Study Reveals

Wurl, a leader in the CTV industry, recently published "A Full-Funnel Approach to CTV Marketing 2024," a new report developed in partnership with parent company, AppLovin, a leading marketing platform, and measurement and analytics company, Adjust. The report walks readers through tangible considerations for three major stages of the marketing cycle: awareness, consideration, and decision-making. In this Q&A, Peter Crofut, VP, Business Development, highlights the most effective strategies advertisers can use during each of these stages.

Q&A: Wurl’s Ria Madrid Discusses BrandDiscovery's Groundbreaking Generative AI for CTV Ads

A Q&A with Ria Madrid of Wurl - she discusses BrandDiscovery, their new tech that makes it possible for marketers to precisely match CTV ads with the emotion and context of what viewers are watching to create positive attention, using Plutchik's Wheel of Emotions. Partners like Media.Monks are already driving impressive results for their clients through Wurl's solution, which uses scene-level contextual targeting to help advertisers align the emotional sentiment of their campaign creatives with content closest to the ad break.