How to Solve Marketing Attribution for SaaS and Lead-Gen Businesses
In this interview, Oren Greenberg and Constantine Yurevich discuss attribution problems in SaaS and PLG marketing. They explain how SegmentStream uses predictive lead scoring and LTV modeling for cookie-less attribution and optimizing ad platforms with real-time value signals to boost marketing ROI.
In this episode, Oren Greenberg, Growth Marketing Advisor for B2B SaaS companies, talks with Constantine Yurevich, Founder & CEO of SegmentStream, about the attribution challenges that SaaS and PLG marketers face in a world of complex, multi-touch customer journeys and long sales cycles.
Key topics discussed:
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Why traditional attribution models fail:
- Limitations of cookie-based tracking.
- Why last-touch and even multi-touch attribution often don’t work in PLG, SLG, and enterprise SaaS environments.
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How SegmentStream addresses these challenges:
- Predictive lead scoring.
- LTV (Lifetime Value) modeling.
- Probabilistic attribution without relying on cookies or deterministic stitching.
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Optimizing ad campaigns with smarter signals:
- Sending real-time, value-based signals back to platforms like Meta and Google.
- Importance of focusing on high-value conversions, not just volume.
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Common pitfalls in marketing optimization:
- The risks of optimizing toward average LTV or simple lead counts.
- How leveraging CRM data can significantly improve marketing efficiency and ROI.
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Who should listen:
- Marketers running paid ads for freemium SaaS products.
- Those navigating hybrid product-led sales models.
- Anyone trying to convince leadership to invest in better attribution solutions.
This episode is packed with practical insights on driving growth through smarter marketing intelligence.
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