{"id":397365,"date":"2026-03-25T12:43:30","date_gmt":"2026-03-25T07:13:30","guid":{"rendered":"https:\/\/martechseries.com\/?p=397365"},"modified":"2026-03-25T12:43:30","modified_gmt":"2026-03-25T07:13:30","slug":"martech-interview-with-mike-true-co-founder-ceo-of-prescient-ai","status":"publish","type":"post","link":"https:\/\/martechseries.com\/mts-insights\/interviews\/martech-interview-with-mike-true-co-founder-ceo-of-prescient-ai\/","title":{"rendered":"MarTech Interview With Mike True, Co-Founder & CEO of Prescient AI"},"content":{"rendered":"

Mike True, Co-Founder & CEO of Prescient AI talks about predictive AI and why marketers need to use it effectively to power measurement tactics in this MarTech catch-up:<\/strong><\/h3>\n

______<\/strong><\/h3>\n

Hi Mike, tell us about yourself and more about Prescient AI in brief?<\/strong><\/h4>\n

I’m Mike True, Co-Founder and CEO of Prescient AI. Before starting the company, I spent my career in enterprise AI and analytics sales at companies like IBM, Oracle, and App Annie, where I helped clients generate millions in revenue through AI-powered solutions [1]<\/a>. I hold a B.S. in Marketing from Salve Regina University.<\/p>\n

I founded Prescient AI in 2019, and honestly, it didn’t start where it is today. We originally set out to build a predictive model for the music industry \u2014 helping artists figure out optimal tour schedules and venue recommendations. When COVID-19 hit, and live events disappeared overnight, we had to pivot fast. That’s when we turned our focus to solving marketing attribution and measurement challenges in e-commerce [4]<\/a>.<\/p>\n

Today, Prescient is an advanced Marketing Mix Modeling (MMM) platform serving 100+ omnichannel brands \u2014 including Saatva, Hexclad, Jones Road, MaryRuth\u2019s, and Coterie \u2014 and we raised $20M from investors including Headline and Blumberg Capital [9]<\/a>. We work without pixels or cookies, deliver actionable insights within 36 hours, and can forecast future campaign performance three months out with around 90% accuracy [3]<\/a>. In July 2025, we launched what we believe is the first fundamentally new MMM framework built entirely from scratch since the technology was first introduced in the 1960s [17]<\/a>.<\/p>\n

How are brands today using predictive AI to power measurement and attribution tactics in modern marketing workflows?<\/strong><\/h4>\n

What I’m seeing is a real shift \u2014 brands are moving away from piecing together siloed ad platform reports and toward unified, AI-driven measurement. At Prescient, our approach is built on dynamic MMM, which is a statistical, probabilistic model that ingests data from ad platforms, Shopify, Amazon, Google Analytics, and even offline sources to help brands understand which channels are truly driving revenue [14]<\/a>. Unlike the old Nielsen-style annual MMM studies, our model refreshes every single day, so marketers can reallocate budgets and optimize campaigns in near real time [12]<\/a>.<\/p>\n

The brands I work with are using predictive AI in a few powerful ways:<\/p>\n