
RevOps FM
Going Deep into Marketing Mix Modelling and Incrementality - Pranav Piyush
Oct 21, 2024
Pranav Piyush, Co-founder and CEO of Paramark, brings his expertise in marketing measurement to the forefront. He dives into the complexities of marketing attribution, discussing the drawbacks of traditional methods and the need for innovative approaches like marketing mix modeling and incrementality testing. Pranav emphasizes the importance of understanding true causation versus correlation. He advocates for realistic expectations and the integration of both qualitative insights and data analysis to navigate the evolving landscape of B2B marketing effectively.
57:50
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Quick takeaways
- Attribution in B2B marketing often relies on inadequate models, leading to poor decision-making due to their failure to reflect complex customer interactions.
- Incrementality testing is increasingly recognized as a crucial method for distinguishing between genuine marketing impacts and mere correlations in sales performance.
Deep dives
The Complexity of Attribution in Marketing
Attribution poses significant challenges within marketing, particularly in B2B contexts, where traditional models often fall short. Many organizations utilize basic attribution methods like first or last touch, or adopt vendor-pushed methodologies that lack empirical support. These simplified approaches result in poor decision-making since they do not adequately reflect the complexities of customer interactions across various channels. Acknowledging these shortcomings is vital for evolving marketing strategies and developing more accurate measures of impact.
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