Content Performance Tracker

Know which content is engaging audiences

Content and programming teams need to understand which titles resonate with audiences, but performance data is scattered across platforms and manual analysis lags behind programming decisions.

Daily schedule: Runs every morning at 8 AM after viewership data refreshes
Completion rate alert: Triggers when a title's completion rate drops below 40%
Viewership summary: Total views, unique viewers, and view hours by title
Completion rates: Percentage of viewers finishing content by quartile

Content Performance Report

Weekly digest • 847 titles analyzed

New
Total Views
2.4M
Engagement
4.2%
Completion Rate
68%
Top Performer
+142%vs avg
Top Performing Content
Tech Review: New Release+142%
Behind the Scenes+89%
Documentary Special+67%
Key Insights
Video +28%Podcast flatScale documentaries

Built for research teams
who demand accuracy

Content and programming teams need to understand which titles resonate with audiences, but performance data is scattered across platforms and manual analysis lags behind programming decisions.

VP of Content / Head of Programming responsible for content investment

Strategic oversight & escalation

Content Research Directors analyzing engagement patterns

Strategic oversight & escalation

Programming Managers scheduling and promoting titles

Deep, consistent analysis

Audience Insights Analysts tracking demographics

Data-driven insights

From alert to action in minutes

The objective of this agent is to improve content ROI by identifying engagement patterns.

Step 1

The Trigger

You define when the agent should activate. When conditions are met, it starts working automatically.

  • Daily schedule: Runs every morning at 8 AM after viewership data refreshes
  • Completion rate alert: Triggers when a title's completion rate drops below 40%
  • Viewership spike: Flags content exceeding projected views by more than 50%
Step 2

360° View

The agent opens a tailored dashboard consolidating data from all your systems.

  • Viewership summary: Total views, unique viewers, and view hours by title
  • Completion rates: Percentage of viewers finishing content by quartile
  • Engagement metrics: Replay rate, binge rate, and share actions
Step 3

Automated Analysis

The agent follows a structured analysis flow, combining checks with exploratory reasoning.

  • Benchmark comparison: Flags titles performing above or below similar content in genre and format
  • Completion analysis: Identifies where viewers drop off and whether patterns differ
  • Demographic breakdown: Surfaces which segments over- or under-index for titles
Step 4

Actionable Output

After analysis, the agent creates a human-friendly report with everything your team needs.

  • Executive summary: Library performance, new release health, engagement trends
  • Top performers: Titles exceeding expectations with promotion opportunities
  • Underperformers: Titles requiring schedule changes or marketing review
Step 5

Delivery

Reports are sent automatically via email or accessed directly in Veezoo.

Key benefits for research teams

Concrete, measurable value for your team from day one

Fast Action

Faster insights -- Before: 3-5 days to compile reports

Now: daily analysis delivered before morning meetings.

Root Cause

Promotion timing -- Identify breakout content within 24-48 hours, enabling pushes while momentum builds.

Key Benefit

Audience clarity -- Understand which demographics engage with which content for better programming.

Up and runningin production in weeks

To deploy this Agent, you connect Veezoo to your existing Data Warehouse, typically containing data from:

Streaming platforms: Consumption data from your OTT platform or video player
Audience measurement: Nielsen, Comscore, or first-party demographics
Content management: Metadata from your CMS (genre, format, cast)
Marketing systems: Promotion spend and campaign data
Views
Engagement
Completion
Category
Content
Performance

Ready to explore Content Performance Tracker?

Fully customizable to your workflows, data sources, and business requirements.

Typical initial implementation in weeks, not months.