Case Study: Leading US TV Network Company achieves accurate 100% ad spend insights with Quantiphi's Ad Spend Extrapolation Model

Determine ad spend across all US TV networks

Leading US TV Network Company partnered with Quantiphi to solve the challenge of determining ad spend across all US TV networks. The customer, a TV data company, had spend information for only 80% of commercial data and needed a way to extrapolate it to the full dataset to generate accurate spend insights.

Quantiphi built an ad spend extrapolation model using Python, Random Forest, Clustering, Gradient Boosting, and Google Cloud Platform services including Google Cloud Functions, Google Compute Engine, and BigQuery. The result was a one-click monthly refresh model that extrapolates spend to 100% of the commercial data, enabling more accurate insights for every dollar spent on commercials.