167: Demystifying lead sources with self attribution reporting (Chris Strom, ClearPivot)

Databox is an easy-to-use Analytics Platform for growing businesses. We make it easy to centralize and view your entire company's marketing, sales, revenue, and product data in one place, so you always know how you're performing. Learn More About DataboxSubscribe to our newsletter for episode summaries, benchmark data, and moreTraditional attribution models are broken—and your “direct” traffic might not be what you think it is. In this episode, ClearPivot founder and Principal Chris Strom breaks down how his team blends self-reported attribution with CRM and web analytics data to reveal what’s really driving leads and revenue. You’ll learn:Why 40% of your traffic might be misattributed, how to implement self-reported lead source fields the right way, and how demystifying the "black box" of misattributed data can help you reallocate budget toward higher-quality lead sources.More about: ClearPivot: https://www.clearpivot.com/Databox: https://databox.com/Newsletter: https://databox.com/newsletter