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Index/Marketing/Marketing Analytics with Fexingo
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How Attribution Models Miss the Value of Customer Surveys

Marketing Analytics with Fexingo · 2026-08-31 · 7 min

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Topics in this episode

net promoter scorecustomer surveysmarketing attributionAttribution modelscustomer feedback

Episode notes

In this episode of Marketing Analytics with Fexingo, Lucas and Luna dive into a blind spot most attribution models share: customer surveys. They explore how survey responses - like customer satisfaction scores, Net Promoter Scores, and post-purchase feedback - can reveal the true impact of marketing channels that last-touch and multi-touch models routinely undervalue. Using a concrete example of a software company whose survey data reshaped its media mix, they show how qualitative insights can validate or challenge quantitative attribution. They discuss practical ways to integrate survey data into marketing analytics, from weighting attribution to building feedback loops that improve both measurement and campaign performance. Along the way, they keep it grounded with real numbers and a genuine conversation about the limits of data-driven marketing. If you've ever wondered why your attribution dashboard disagrees with what your customers tell you, this episode offers a fresh perspective on closing that gap.

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

  • I Debated the Inventor of Zero-Click Marketing | Amanda Natividad (SparkToro)Ahrefs Podcast · on Attribution models88 / 100
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  • How To Increase Margins By Moving Beyond Rule-based Pricing - Felix Hoffmann | How to Scale Profitably Today, Why Rule-Based Pricing Often Fails, What Predictive Pricing Models Deliver, Why Transaction Costs Matter Most, Why Data Quality Matters (#480)Ecommerce Coffee Break · on marketing attribution80 / 100
  • 7 Marketing Measurement Myths Costing Companies MillionsBrandformance · on Attribution models76 / 100
  • CU 2.0 Podcast Episode 411 Travis Credit Union CEO Kevin Miller on Why Bankers Make Good CU CEOsThe CU2.0 Podcast · on net promoter score74 / 100
  • The Distillation of Data: Alembic’s Causal AI SolutionInsider Interviews: Media and Marketing Pros · on marketing attribution66 / 100

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