Monthly Broadcasting Demographics Analysis Report

Track and analyze viewer demographics, content performance, and audience retention trends to optimize programming strategy and maximize viewer engagement across different segments.

Report Objective

Monitor monthly changes in audience demographics, viewing patterns, and content performance to inform programming decisions and identify opportunities for audience growth and retention.

Demographic Viewership Trends

Analysis of viewer demographics and engagement patterns

Questions to Consider:

35-4425-3445-5418-24demographic_segment01,000,0002,000,0003,000,0004,000,000sum(average_daily_viewers)sum(average_daily_viewers)How is Viewership Distributed Across Age Groups?35-44 age group shows highest average daily viewership with 450,000 viewers
  • Which age groups show the strongest viewership numbers?

  • How has the distribution changed from previous months?

  • Are there any emerging demographic trends?

  • How does viewing duration vary across demographic segments?

  • Are there any seasonal patterns in viewing duration?

  • Which segments show the most consistent engagement?

Mar 2024Apr 2024May 2024view_date40.045.050.0sum(average_view_duration) vs. demographic_segmentsum(average_view_duration)demographic_segmentWhat is the Average Viewing Duration by Demographics?Older demographics show longer average viewing durations

Content Performance Analysis

Evaluation of program performance by type and time slot

Questions to Consider:

NewsEntertainmentSportsDocumentaryprogram_type0.020.040.060.0sum(average_rating)Prime TimeDaytimeLate NightEarly MorningHow are Different Program Types Performing?News and Sports programming lead with highest average ratings
  • Which program types consistently perform well?

  • How do ratings vary by time slot?

  • What programming adjustments could improve performance?

  • How have ratings evolved over the past year?

  • Are there any seasonal patterns in content performance?

  • Which program types show the most stability?

Mar 2024Apr 2024May 2024view_date2.02.53.03.5sum(average_rating) vs. program_typesum(average_rating)program_typeWhat are the Rating Trends Over Time?Prime Time shows consistent rating strength across program types

Audience Retention Metrics

Assessment of viewer loyalty and retention patterns

Questions to Consider:

Mar 2024Apr 2024May 2024view_date74.0%76.0%78.0%80.0%82.0%84.0%sum(retention_rate) vs. viewer_segmentsum(retention_rate)viewer_segmentHow Strong is Viewer Retention Across Segments?Super Viewers maintain 95% retention rate, significantly above casual viewers
  • Which viewer segments show the strongest loyalty?

  • How has retention changed over time?

  • What strategies could improve retention in lower-performing segments?