Your buyers can’t remember why they bought from you, our brains physically can’t store that information correctly. But we’ve built elaborate attribution systems pretending otherwise. Moni helps us understand why we need to stop crediting random touchpoints and start measuring how effectively each content piece performs its specific job in moving people through your funnel.More
Tag Archives: experiment
166: Constantine Yurevich: Visit Scoring, an alternative to MMM and MTA few marketers know about
Multi-touch attribution is a beautifully crafted illusion we all pretend to believe in while knowing deep down it’s flawed. The work is mysterious, but is it important? The big ad platforms sell us sophisticated solutions they don’t even trust for their own internal decisions. Is it time we accept marketing causation is a thing we can’t measure?More
159: Ana Mourão: Privacy-first data literacy and modernizing legacy martech at a global enterprise with data templates and POCs
Ana created the Experimental Marketer framework to help marketers have a more strategic view (and be more hands-on) with martech and become better allies in using and realizing martech value. She takes us on an adventure through a big martech transformation project with a global enterprise and how she applied that framework to help them scale.More
155: Meg Gowell: Typeform’s full stack marketer on growth experiments, brand momentum and warehouse-native stacks
Marketing leadership in 2025 is a wild time. After years of learning martech and technical concepts to become a full stack marketer, you finally land that dream director gig… only to watch your hard-earned tech skills collect dust while you drown in meetings. Megan helps us see the way forward.More
153: Sundar Swaminathan: How Uber measures the ROI of marketing according to their former Growth Marketing Data Science Lead
After leading Uber’s Marketing Data Science teams, Sundar shares insights that work for both tech giants and startups. Beyond uncovering that Meta ads generated zero incremental value (saving $30 million annually), they mastered measuring brand impact through geo testing and predicting LTV through first-week behaviors. Small companies can adapt these methods through strategic A/B testing and simplified attribution models, even with limited sample sizes. More
145: Barbara Galiza: The inconvenient truths of attribution no one wants to admit
Attribution is a bit like navigating Amsterdam’s canals: mesmerizing but full of hidden turns that don’t always make sense. You don’t need to chart every twist—just focus on finding the direction that moves you forward. Instead of obsessing over every click, use attribution like a compass, not a GPS. More
139: Ron Jacobson: Why multi-touch attribution excels in credit distribution but fails in causality
Multi-touch attribution is a credit system, not the full story behind conversions. Incrementality testing digs deeper, asking what would’ve happened without a campaign. Don’t get stuck with basic tools; true measurement needs first-party data and statistical models. For startups, focus on nailing one channel before using tools like MTA or MMM to refine growth strategies.More
136: Benoit Leggieri: Livestorm’s Head of Growth on crafting revenue driving workflows with Customer.io
Benoit offers a behind-the-scenes look at how Livestorm’s martech stack drives growth and personalization. At its heart is Customer.io, seamlessly integrated with tools like Amplitude, Segment, and Mutiny, creating a powerful system that delivers tailored experiences while scaling effortlessly. By leveraging data-driven workflows to address user needs with precision and automating processes like product certification, Livestorm not only boosts conversions but also deepens customer relationships. More
135: Pranav Piyush: Why multi-touch attribution is broken and what you should do instead
Pranav guides us out of the labyrinth of multi-touch attribution under the clear sky of incrementality and causality, urging marketers to focus on whether their efforts genuinely drive sales that wouldn’t have happened otherwise. Early-stage startups can benefit by prioritizing simple methods like geo-based testing over complex attribution models, allowing intuition to guide resourceful experimentation.More
133: Simon Heaton: Buffer’s Director of Growth Marketing on agile sprints, holdout testing and why a CRM or GA4 isn’t in their tech stack
Simon helps us explore Buffer’s martech journey, highlighting their shift from traditional tools to a product-led approach driven by data and server-side analytics. We unpack their use of Customer.io for automation and hold out testing, Redash for data insights, and their agile sprint model that fosters continuous innovation. Discover how Buffer’s small team thrives with efficient, data-driven strategies.More