AI Development
Audience Forecasting
Predict demand for events, channels and programs so you can plan capacity, schedules and sponsors.
The challenge
Why this matters
Planning capacity and schedules on gut feeling leads to buffering or wasted spend.
What it is
Audience Forecasting in plain words
Audience Forecasting uses your viewing history, schedules and calendar to estimate demand for upcoming events and programs. It shows ranges, not false precision, and explains what drove the estimate.
Benefits
What you get
Plan capacity
Know when demand spikes.
Plan schedules
Place programs where viewers are.
Ranges, not guesses
Uncertainty shown.
Explained
See the drivers.
How it works
From first call to first result
Gather history
Viewing and event data.
Model
Build forecasts.
Check
Test against past events.
Use
Dashboards and alerts.
Details
What is included
Data
- Viewing history
- Calendars
Models
- Demand ranges
- Driver explanations
Outputs
- Dashboards
- Alerts
Illustrative scenario
A league estimates demand for rivalry matches to schedule capacity.
Proven shapes, tuned to your content
Each solution starts from a tested pattern and is adapted to your data, rules and tools.
Questions
Common questions
How much history do we need?
It depends. We assess your data first.
Is it accurate?
We test against your past events.
Can it feed Audience Analytics?
Yes.
Related
Works well with
Audience Analytics
One dashboard for live and recorded viewing across every destination.
Learn more →
Data Foundations
Pipelines, catalogs and checks that turn scattered data into a base for AI.
Learn more →
Model Operations & Oversight
Monitoring, testing and governance for AI systems in production.
Learn more →Ready for Audience Forecasting?
Tell us about your project and we will reply with a clear plan.