Background
A leading pay television channel in Latin America - recognized for its extensive lineup of popular Spanish- and English-language programming - sought to maximize performance across its Pay TV windows.
The channel identified seven theatrical titles that had already premiered in theaters and on streaming services. Although these films had seen prior success, the network needed to determine the optimal linear release windows to boost engagement and viewership.
Challenge
The channel faced three main obstacles:
- Timing Optimization: Pinpointing the best windows to premiere each title so they could capture peak audience demand.
- Content Revitalization: Reviving titles that had previously experienced declines in demand to improve their performance on the SVOD service.
- Library Utilization: Effectively deploying existing content to build anticipation for upcoming premieres. These requirements necessitated data-driven recommendations that could be swiftly implemented.
Solution
Parrot Analytics applied its global entertainment analytics solutions in four key ways:
Performance Analysis
A deep evaluation of each title’s theatrical and streaming history revealed when demand peaked or waned, guiding the scheduling approach for maximum viewership.
Consumption Affinity Insights
By mapping viewers’ taste profiles, the channel identified strategic lead-in programming from its library. This increased engagement and built anticipation before each new film’s premiere.
Release Timing Strategy
Leveraging seasonality trends, historical viewing patterns, and demand data, Parrot Analytics delivered a tailored schedule that aligned each film’s debut with periods of elevated audience interest.
Comprehensive Movie Planning
A holistic blueprint placed high-demand titles during prime viewing months and provided targeted marketing support for mid-range or emerging titles. Consumption affinity data also informed the selection of ancillary content to boost audience engagement.
Impact
By aligning each film's release with periods of heightened audience interest, the channel ensured it reached viewers when they were most engaged. It also strategically selected high-affinity library content to build anticipation ahead of each premiere. This careful blend of demand intelligence and consumption affinity insights optimized release timing and boosted viewer engagement, ensuring every film achieved its best possible premiere performance.
Additionally, these same demand analytics informed content acquisition decisions. By identifying the genres and themes most likely to resonate with subscribers, the channel increased viewer satisfaction and helped mitigate churn.
Overall, the data-driven combination of audience demand intelligence and consumption affinity insights ensured each title’s optimal performance on linear television, while simultaneously revitalizing titles that had shown declining demand on the SVOD service. Through this careful blend of scheduling precision and targeted promotions, the channel maximized its return on investment for both new and library content.
