NEXUS knew the audience better than the existing forecast
A Fortune 500 media company already had an established system for forecasting sports audiences. NEXUS reduced its prediction error by 33%.
NEXUS knew the audience better than the existing forecast
A Fortune 500 media company already had an established system for forecasting sports audiences. NEXUS reduced its prediction error by 33%.
Comparison
Incumbent baseline
Prediction error
33% less
Ground truth
Aired audience
NEXUS and the incumbent forecast were both locked before the season. As broadcasts aired, each prediction could be compared directly against the audience that actually arrived.
NEXUS analysis — sports broadcasting
01 — THE CHALLENGE
The Challenge
Broadcasters make enormous commercial decisions about audiences that haven’t arrived yet. Advertising inventory is priced and sold months in advance, based on forecasts of how many people will eventually watch.
Get those forecasts wrong and the consequences are real: overestimate demand and you can create make-good exposure; underestimate it and valuable inventory may be left underpriced.
02 — THE APPROACH
The Approach
What makes this case particularly compelling is that there was already a strong incumbent to beat. The company had an established forecasting process and a locked pre-season baseline. NEXUS independently predicted the same broadcast audiences, and as the season unfolded, there was nowhere for either forecast to hide: both could be compared directly with reality.
HISTORY
Signals across time
CONTEXT
Live variables
NEXUS
Prediction layer
Incumbent forecast: locked before the season
NEXUS forecast: independently generated
Ground truth: actual audiences as broadcasts aired
03 — THE RESULT
The Result
less prediction error than the existing forecasting baseline
04 — THE IMPACT
The Impact
For a broadcaster, better audience prediction flows directly into the economics of the business. It creates better information for pricing inventory, making advertiser commitments, spotting where audiences may be over or underestimated and managing the risk between what gets sold and what ultimately gets delivered.
The audience hasn’t arrived yet. The money has already moved. That’s why predicting it better matters.
