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Marketing Attribution for a Top-3 Pharma Client

A top-3 pharma client needed to isolate the true ROI of individual marketing campaigns.

4.2% ROI lift on campaign spend
HOW THE SYSTEM WORKS
IN
Campaign data
clicks, impressions, conversions, spend
STEP
Causal regression
isolates each campaign's true effect
STEP
Counterfactual test
“what if we hadn't run it?”
OUT
Reallocation plan
4.2% ROI lift on spend
Causal modeling separates what a campaign caused from what would have happened anyway.
Built
Causal regression with counterfactual reasoning over clicks, impressions, conversions, cost-per-click, and spend.
Approach
Per-campaign impact isolation feeding data-driven reallocation recommendations.
Impact
4.2% ROI lift on campaign spend
Skills
Causal InferenceCounterfactualsStatistical Analysis