In this session...
Pixel-based attribution often devolves into a game of claiming credit, obscuring the real drivers of performance. This session reveals how incrementality cuts through the noise by mathematically proving impact and lift. Discover how marketers can move past surface-level metrics to validate ROI, optimize spend, and unlock audio’s true potential.
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With practical frameworks, case studies, and tools, industry leaders will show why incrementality is redefining podcast and performance audio—and setting a new standard for accountability in advertising.
Attribution has long been a source of tension in podcast advertising. Pixels promise precision, yet too often they fuel “credit-claiming contests” that distort reality and mask the channels driving genuine growth. For brands investing in podcasting and performance audio, this creates a frustrating disconnect between measurement and business outcomes. Incrementality offers a breakthrough. By applying rigorous statistical methods, incrementality reveals the true causal impact of campaigns—quantifying lift, isolating audience response, and proving ROI with clarity that pixels alone cannot deliver. In this session, leading voices in audio and measurement will explore why incrementality is reshaping the conversation around accountability.
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What You'll Learn from This Session...
- See Through the Noise: Understand why pixel-based attribution often turns into “credit-claiming games” that mislead marketers.
- Mathematical Proof of Impact: Learn how incrementality isolates causal lift and provides verifiable evidence of campaign effectiveness.
- ROI with Confidence: Gain tools to validate return on investment and optimize audio spend beyond surface metrics.
- Real-World Applications: Explore case studies showing how brands have successfully applied incrementality in podcast and performance audio.
- Actionable Frameworks: Walk away with practical steps to integrate incrementality testing into your measurement strategy.
