How conjoint analysis and customer segmentation revealed the optimal features and pricing strategy to maximize subscriptions and revenue in the competitive streaming market.

Our client aimed to understand the optimal features and pricing for their streaming service to maximize reach and revenue. The primary objectives were to:
We performed detailed conjoint analysis to simulate real-world trade-offs and identify the most desirable combinations of features and pricing.
Understanding preferences across general population streamers, current subscribers, and loyalty program members.


The study revealed distinct preferences and behaviors across different customer segments, providing crucial insights for targeted pricing and feature strategies:
Price-sensitive consumers who prioritize basic streaming features and value-oriented pricing plans.
Engaged users who value premium features and are willing to pay for enhanced viewing experiences.
Brand advocates who appreciate exclusive content, birthday gifts, and special member benefits.

We provided the client with a comprehensive Excel-based simulator tool enabling them to test "what if" scenarios and determine the optimal combination of features and pricing to yield the highest revenue potential.
Set price points that maximize revenue while maintaining high subscription rates across ad-supported and premium tiers.
Tailored features and benefits to meet the specific preferences of different customer segments.
Developed segment-specific messaging that resonates with key customer groups and drives conversions.
Implemented strategies to enhance satisfaction and loyalty by focusing on the most valued features.