attribution-and-incrementality-measurementlisted

# Attribution and Incrementality Measurement ## Overview This skill covers how B2B marketers should measure the true impact of their marketing investments—from experimental design and geo-lift testing to attribution model selection, self-reported data, and organizational alignment around measurement. All practices are sourced exclusively from guests on the Exit Five podcast. Where guests disagree, those disagreements are surfaced explicitly rather than resolved. --- ## Foundational Measurement Philosophy ### Shift from Attribution Credit to Incrementality Reframe the measurement conversation away from "which touchpoint gets credit for this conversion" and toward "would this outcome have happened without my marketing investment." Incrementality measures the actual lift your marketing creates—the difference between a baseline scenario (no marketing) and your current state. This avoids the false causality problem of click attribution and works across all channels, including those that are hard to track. (Source: Pranav Piyush, Episode #239) Establish your baseline organic demand before measuring marketing impact. Measure the number of prospects, leads, or customers that come to you with zero active marketing effort (organic search, word-of-mouth, brand equity, inbound). Any growth above this baseline is potentially incremental. Without this baseline, you cannot distinguish organic growth from marketing-driven growth. (Source: Pranav Piyush, Episode #130) ### Align Measurem