United StatesMedia and entertainment2026 – ongoingAMC Networks
Predictive audience analysis and generative video for streaming marketing
AMC Networks tied nearly 30% higher subscriber acquisition for Dark Winds to AI-guided audience targeting
Problem
AMC Networks needed to grow its streaming subscriber base and keep existing subscribers from leaving. Its marketing team wanted to find audiences for its shows that it had not yet reached.
Approach
The marketing team used predictive analysis on creative assets and audiences. For the series Dark Winds, the analysis pointed to an overlooked female audience, and the campaign was aimed at it. The team also used AI-driven targeting to find new streaming audiences and predictive churn analysis to send retention messages to subscribers likely to leave. Video made with Runway, a generative video tool, went into assets for the AMC shop.
Results
Takeaway
Predictive analysis can point a campaign at a viewer group the team had not planned for. The only result AMC gave was one season-over-season acquisition figure, which Google published without outside verification.
Categories
- Industry
- Media and entertainment
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLGenerative AI
- Adoption
- Vendor solution
- Evidence
- Company's own claim
Sources
Source summaries
A Google-hosted case study with AMC Networks' chief marketing officer. It describes predictive audience analysis, AI-driven targeting, churn prediction and Runway-made video for shop assets. Its one figure is nearly 30% higher season-over-season subscriber acquisition for Dark Winds.
Full details are in the original sources.