How are marketers adapting attribution strategies for true impact?
Marketers are shifting from narrow, last-touch models to broader, multi-touch, portfolio, and machine-learning approaches, with some questioning the value of precise attribution altogether.
6 answers
Answers

Marc S. Pritchard
Chief Brand Officer · Procter & Gamble
Cross-Media Measurement
Marc S. Pritchard says marketers are still working on cross-media measurement, so they can get unduplicated reach and frequency and not waste money; he points to Aquila, a new cross-industry, ANA-funded solution.
The answer starts at 20:22.
Campaign Chemistry · Listen on Apple Podcasts

George Bonaci
VP of Growth & Demand Gen · Ramp
Second‑Order Attribution
George Bonaci says CMOs and CFOs will push for more nuanced, indirect "second-order" attribution, because the alpha is in what attribution models can't directly measure, and attribution alone would have led him to cancel brand marketing, stunts, direct mail and events.
Growth Memo · Growth Memo · Read

Aaron Pelander
Chief Brand Officer · Govx
De‑Emphasizing Precise Attribution
Aaron Pelander says the quest for precise attribution is overrated and in many cases an inefficient use of time, because an exact order probably came from 15 different things that happened.
The answer starts at 34:49.
The Marketing Architects · Listen on Apple Podcasts

Laura Jones
Chief Marketing Officer at Instacart · Instacart
Portfolio-Level View
Laura Jones says she and her team have been moving toward a portfolio-level view of attribution, to avoid becoming hyper-focused at the channel level and over-rotating on last-touch ROAS.
The answer starts at 6:28.
The WARC Podcast · Listen on Apple Podcasts

Paul Caruso M. ED.
Vice President, Head of Digital Marketing · U.S. Bank
Adopting Multi‑Touch Attribution
Paul Caruso M. ED. says US Bank moved from last-touch attribution to multi-touch attribution at user-level identity with TransUnion, allowing a full-funnel investment strategy and in-flight budget optimizations.
EMARKETER · Watch on YouTube
Olivia Kory
Chief Marketing & Strategy Officer · Haus
Machine‑Learning Causal Models
Olivia Kory says they moved away from static incrementality factors and now use a machine learning model to debias attribution data, because the factor approach is a blunt instrument and the business and incrementality change dynamically.
The Andrew Faris Podcast · The Andrew Faris Podcast · Listen at 39:24
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