What the Skydance Mega-Merger Means for Subscriber Value

As Skydance expands its reach through major strategic consolidation, scale alone won’t guarantee long‑term success. Dean’s Chair in Marketing Science at the University of Maryland’s Robert H. Smith School of Business P.K. Kannan, an expert in customer analytics and digital platforms, says the merged entity’s real opportunity lies not in size but in how effectively it connects consumer behavior across its expanded portfolio. 

“Skydance now has a much broader portfolio, but the real question is how that translates into real value for the customer,” Kannan explains. “Does it help people discover content they enjoy? Does it give them more reasons to stay? It is all about the consumers.”

His analysis points to several areas where the company can turn its new scale into meaningful subscriber value — and where missteps could undermine the merger’s promise.

Understanding the Customer Journey

The merger gives Skydance a richer view of how people move across its platforms, from film franchises to related series and new programming. Kannan notes that first‑party data is the company’s most powerful asset.

“With these assets under one umbrella, Skydance has an opportunity to understand those connections better. Which content brings people in, and which content keeps them around?” But he cautions that not all cross‑platform movement creates value. If viewers simply shift from one Skydance service to another, the company gains little. The real benefit comes when discovery leads to retention — when a new program gives subscribers a reason to maintain their membership.

This is where customer lifetime value (CLV) becomes essential. “Subscriber numbers and viewing hours are useful, but they only tell part of the story,” Kannan says. Acquisition costs, discounts, advertising revenue and retention must all factor into the equation. 

Bundles and Pricing: Bigger Isn’t Automatically Better

The merger opens the door to new bundling strategies, but Kannan warns against assuming that more content always equals more value.

“Different customers see different value in the same product mix,” he says. A household that wants sports, children’s programming, and premium drama may find a bundle appealing; another may want only one of those things. Even within a single service, Skydance can experiment with plans that vary by price, content access, and advertising levels. But bundles come with tradeoffs: discounted packages may attract new subscribers and extend retention, yet they can also cannibalize revenue from customers who were already paying for multiple services.

Understanding overlap — and what people are truly willing to pay for — will be critical.

AI‑Driven Personalization Beyond Recommendations

Kannan sees AI playing a role far deeper than suggesting the next show. By analyzing the sequence of interactions over time, Skydance can tailor experiences to what a customer needs at a particular moment. “Someone who has just finished a series might appreciate help finding another program they would enjoy. Someone who is having trouble with billing needs that problem resolved. Those are very different situations, and personalization should recognize the difference.”

He also distinguishes predicting churn and preventing it. Identifying a customer likely to cancel is only the first step; knowing what intervention will persuade them to stay is far more valuable. Testing retention strategies — rather than assuming discounts will work — is essential. 

Trust, Transparency and the AI Era

As Skydance integrates data across brands, Kannan emphasizes the importance of transparency and governance. Consumers need clarity about how their information is used and confidence that human oversight remains part of the process. “In our recent work on CRM in the AI era, we emphasize transparency, governance, and human oversight,” he says. AI can strengthen customer relationships when it makes the experience more relevant and easier to navigate — but only if trust is maintained.