Scholarlink

Using a proprietary LinkedIn subset of data containing over 200 million advertisement interactions across millions of users, we model marketing funnel stages based on industry, called professional user demographics. Both demographic-specific funnels and a cross-demographic model to align and compare engagement patterns across industries are introduced. Our findings reveal that while the funnel structure remains broadly similar and stable, significant professional demographic variance exists in flow volumes, transition velocities, and stage occupancy. We identify key transition pathways, the strategic role of lower engagement stages, and cyclical user flows indicating loyalty or disengagement. These insights offer actionable guidance for marketers seeking to optimize targeting, timing, and content strategies based on audience-specific funnel behavior.

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A Scalable Approach to Marketing Funnel Modeling: Cross-Industry Insights from LinkedIn

  • 会议论文

  • 发表日期：

    2026年

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  • Chad Crowe,
  • Margeret Hall

摘要

Using a proprietary LinkedIn subset of data containing over 200 million advertisement interactions across millions of users, we model marketing funnel stages based on industry, called professional user demographics. Both demographic-specific funnels and a cross-demographic model to align and compare engagement patterns across industries are introduced. Our findings reveal that while the funnel structure remains broadly similar and stable, significant professional demographic variance exists in flow volumes, transition velocities, and stage occupancy. We identify key transition pathways, the strategic role of lower engagement stages, and cyclical user flows indicating loyalty or disengagement. These insights offer actionable guidance for marketers seeking to optimize targeting, timing, and content strategies based on audience-specific funnel behavior.