Most B2B lead scoring is built on arbitrary point systems and outdated assumptions and it's costing you real money. In this episode, our strategy directors break down why traditional lead scoring fails and what actually works. We cover: - Why points-based lead scoring is fundamentally flawed - The data infrastructure you actually need before attempting lead scoring - How to build empirical models that predict real conversion probability - Why lead scoring should never come before fixing your...
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Most B2B lead scoring is built on arbitrary point systems and outdated assumptions and it's costing you real money. In this episode, our strategy directors break down why traditional lead scoring fails and what actually works. We cover: - Why points-based lead scoring is fundamentally flawed - The data infrastructure you actually need before attempting lead scoring - How to build empirical models that predict real conversion probability - Why lead scoring should never come before fixing your...
In this episode, we challenge the assumption that ad targeting is as precise as marketers believe. We discuss the pitfalls of audience segmentation, the over-reliance on machine learning, and the growing importance of creative in a world where targeting is becoming less effective. For show notes, including links to the video, more content, and additional resources, please visit https://thehypothesisshow.com/ Want to learn more about growth marketing or get help on your next performance projec...
The Hypothesis
Most B2B lead scoring is built on arbitrary point systems and outdated assumptions and it's costing you real money. In this episode, our strategy directors break down why traditional lead scoring fails and what actually works. We cover: - Why points-based lead scoring is fundamentally flawed - The data infrastructure you actually need before attempting lead scoring - How to build empirical models that predict real conversion probability - Why lead scoring should never come before fixing your...
