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184: Nadia Davis: How to decide if attribution data is good enough to guide strategy
Description
What’s up everyone, today we have the pleasure of sitting down with Nadia Davis, VP Marketing at CaliberMind.
- (00:00) - Intro
- (01:12) - In This Episode
- (02:53) - Understanding the Attribution Periodic Table Framework
- (07:49) - Why Marketing Teams Face Higher ROI Pressure Than Other Departments
- (20:15) - Why Attribution Fails Without Data Stewardship
- (33:02) - Treating Multi-Touch Attribution as an Analytical Tool
- (39:05) - Exploring Chain Based Attribution Models for B2B Marketers
- (46:31) - Why Customizing Markov Chain Attribution Improves Accuracy
- (50:56) - How to Decide When Attribution Data Is Good Enough to Guide Strategy
- (01:00:00) - Why Marketing Operations Defines Multi Touch Attribution Success
- (01:04:50) - Why Time Management Drives Career Fulfillment
Summary: Nadia learned early that attribution keeps you in business, proving to executives why the budget, the team, and the work matter. Seeing “attribution is dead” posts, she built her Attribution Periodic Table to show data modeling, measurement rules, and cross-team alignment as one connected system. In B2B, where budgets are treated like investment portfolios, she uses multi-touch attribution to connect brand and demand to revenue in CFO terms. For her, it’s an analytics tool, not a scoreboard, shaped by sequences like her govtech playbook where event conversations plus on-demand webinars moved deals forward. Chain-based and Markov models help her cut noise, drop vanity metrics, and ground decisions in logged, meaningful touches, all anchored in strong marketing operations that make multi-touch attribution something teams actually trust.
About Nadia
Nadia Davis is the VP of Marketing at CaliberMind, where she leads demand generation, ABM, and marketing operations. She is known for building teams from scratch, overhauling martech stacks, and creating data-driven programs that sales teams can act on immediately. With over 15 years in B2B marketing, she has worked across SaaS, IT automation, healthcare tech, and data platforms, consistently delivering measurable growth by aligning marketing execution with revenue goals.
Her career includes senior roles at PayIt, Stonebranch, LexisNexis Risk Solutions, Informa, and ND Medica Inc., as well as nearly a decade as an ABM and digital strategy consultant. She has led global campaigns, designed persona-driven targeting, run high-profile industry events, and built marketing programs that continue to deliver pipeline well beyond launch. A former Girls in Tech board member, Nadia combines hands-on technical expertise with the leadership skills to grow both teams and results.
The Periodic Table of Marketing Attribution Elements
Nadia has worked in revenue marketing long enough to know attribution is a survival tool. In every demand generation and performance role, she carried it like part of her standard kit. It was how she justified headcount, protected budgets, and kept the lights on in her department. Attribution helped her prove progress in a language executives understood.
When she took over marketing at CaliberMind, she noticed the volume of “attribution is dead” posts climbing in her feed. The pattern felt familiar. Marketing tactics often get declared obsolete the moment they fail for someone, then replaced with whatever is trending. From her perspective, most of those posts came from SMB marketers moving on after a bad run. Meanwhile, enterprise teams were applying attribution with discipline, pairing it with strong data modeling, and getting measurable results. They simply were not talking about it publicly.
That split in sentiment drove her to dig deeper. She wanted to measure the gap between what people were saying and what they were actually doing. The outcome was the State of 2025 Attrib