Two streamers or streaming bundles rise to the top in this analysis: one eliciting deep focus, and the other driving more valuable jobs to be done (largely “to enjoy something that I love”). Both measures of attention drive value, resulting in the greatest LTV of subscribers. Although correlation doesn’t imply causation (and, in some cases, the causal relationship may be inverted), several factors are correlated with higher attention quotients in streaming: — Content volume . A larger volume of content (both in-year releases and library availability) is correlated with higher attention. The efficacy of a large library is likely driven by a streaming platform’s recommendation engine. — Content demand . Attention correlates with the nominal number—not the concentration—of high-demand titles a service carries, as measured by the Parrot Analytics Demand Score. 10 Streaming platforms that host more titles in the 75th, 90th, and 99th percentiles capture higher-quality attention, even if those hits make up a smaller share of the total catalog. — Recommendation engine . Audience focus is highly correlated with the perceived effectiveness of a recommendation engine. A 1.1-percentage-point increase in recommendation effectiveness is associated with a 0.9-percentage-point increase in focus. — Intellectual property . Platforms with more programming derived from major intellectual property are more likely to be consumed “to enjoy something that I love.” — Genre mix . Sports and news are the only genres whose primary job to be done isn’t light entertainment: for sports, it’s “to enjoy something that I love,” and for news, it’s “to receive education and information.” Up to twice as many viewers are most focused when consuming sports and news than any other genre. — Customer segment distribution . As expected, streamers who overindex in content lovers, interactivity enthusiasts, and community trendsetters have higher attention quotients and a higher LTV than those who underindex do. — ‘Premium’ nature . Subscription and ad-supported subscription services receive higher attention and more valuable jobs to be done than FAST TV, and services with a higher percentage of advertising subscribers compared with their peers receive a lower level of focus. 10 P arrot Analytics’ demand score blends billions of “demand expressions” (for example, streams, downloads, searches, social, and wiki activity) to compare the consumer demand for titles on a normalized basis. For more, see, “ Learn the methodology behind demand measurement,” Parrot Analytics Demand Academy, accessed May 27, 2025. 19 The ‘attention equation’: Winning the right battles for consumer attention