Covariance and Aggregation Bias - prova

Overview

Aggregation bias happens when distinct media behaviors are forced into broad groupings and treated as if they behave the same way. That can flatten real differences in:

efficiency
carryover
saturation
incremental contribution

Why this matters

Modern media systems are full of synchronized launches, overlapping audiences, shared creative, and coordinated channel activity. If the model ignores covariance and over-aggregates everything, meaningful signal disappears.

How Provalytics responds

The framework uses covariance-aware estimation, hierarchical regularization, and adaptive structuring to preserve signal integrity while still controlling instability.