A less common alternative to tiering is creating parallel packages for different segments, where the content varies. This model is more common with cable TV. It will be interesting to see if streaming services adopt this approach (think separate packages for kids or superfans).
The drive to bundle
In the old multichannel world, super bundles were priced according to the number of channels they included. Consumers traded up partly to get more content and to access niche networks. Super bundles are less valuable in streaming services because each service already has tens of thousands of hours of content and consumers can access specific content a la carte via services like Apple TV.
However, most generalist streaming services are exploring bundling with each other or with other subscription services, such as cellular phone plans, to drive new subscriptions. Similarly, smaller niche services have either merged into a generalist one (e.g., WWE Network with Peacock) or are being sold as upsells through larger platforms like Prime Video and Hulu.
Bundling is driving trials, adding to subscriber counts and possibly helping with retention. But it isn’t clear how much incremental margin bundling can drive. Average revenue per user is typically much lower with bundling, depending on the negotiations with partners that pay wholesale rates. The streaming market also has to adjust to its new status as a material expense for consumers and the scrutiny that comes with that.
There’s also litigation risk. In August 2024, a federal judge blocked the launch of Venu Sports, a proposed streaming service bringing together sports rights from Disney, Fox and Warner Bros. Discovery. The injunction highlights potential challenges with trying to create bundles across media families.
Tools for price setting and package development
The decision to bundle or tier a streaming offering should focus on long-term value creation. Since content costs are fixed, the low marginal cost of each incremental subscriber makes incremental subscriptions feel like “found revenue.” However, some of that additional revenue might have occurred anyway or could cause churn elsewhere.
So an effective pricing and bundling strategy requires a sophisticated understanding of consumer preferences, perceptions of value and likely buying choices by segment. A segment can be defined by demographics, content avidity or current behavior.
One place to start is with conjoint analysis, a statistical technique for gauging price elasticity or the value consumers place on different package components.
Although it can help with tiering and bundling decisions by mimicking the purchase process, conjoint analysis lacks the real-world frictions of discovery, money exchange and household decision-making. That makes it essential to stress-test new services against existing and comparable services while correcting for discrepancies between what consumers say they will do and what they actually will do.
At L.E.K. Consulting, we typically supplement conjoint analysis with other methods such as Van Westendorp, Gabor-Granger or TURF analysis. We also like to run real-world pilot tests to help refine price-setting, although these aren’t always feasible for high-profile services.