ZeroToOne Acquires GroundTruth to Build Predictive AI Engine for Real-World Consumer Behavior | Martech Edge | Best News on Marketing and Technology
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ZeroToOne Acquires GroundTruth to Build Predictive AI Engine for Real-World Consumer Behavior

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ZeroToOne Acquires GroundTruth to Build Predictive AI Engine for Real-World Consumer Behavior

ZeroToOne Acquires GroundTruth to Build Predictive AI Engine for Real-World Consumer Behavior

PR Newswire

Published on : Mar 27, 2026

In a move that signals where marketing intelligence is headed next, ZeroToOne.AI has acquired GroundTruth to create what it calls a large-scale predictive intelligence platform for real-world consumer behavior.

The ambition is bold: move enterprises beyond analyzing what already happened—and into predicting what customers will do next, in the physical world.

From Measurement to Prediction

For years, marketing and analytics platforms have focused on attribution—tracking clicks, impressions, and conversions after the fact. ZeroToOne is taking aim at that model with a system designed to forecast behavior before it happens.

By combining its proprietary Large Behavioral Model with GroundTruth’s massive network of real-world signals, the company says it can anticipate when, where, and how consumers are likely to act—with reported accuracy exceeding 85%.

That’s a meaningful shift. Instead of reacting to customer journeys, brands could proactively influence them—adjusting campaigns, inventory, and operations in near real time.

Why GroundTruth Matters

GroundTruth brings scale—and distribution. The platform processes billions of daily interactions across physical locations and serves more than 2,000 enterprise customers globally.

That gives ZeroToOne something most AI startups lack: immediate access to real-world data streams and an established customer base to deploy into.

It also strengthens the offline side of the equation. While many AI marketing platforms rely heavily on digital signals, GroundTruth specializes in connecting digital engagement to physical outcomes like store visits—a critical metric for retail and omnichannel brands.

The Tech Behind the Deal

At the heart of the combined platform is ZeroToOne’s Large Behavioral Model, developed by researchers from Carnegie Mellon University—a heavyweight in AI research.

The model ingests privacy-safe behavioral signals from both digital and physical environments, generating predictive insights at scale. The result: a system designed not just to interpret intent, but to forecast it.

Early deployments across select GroundTruth customers are already showing results, according to the company—cutting media costs by 70% and increasing ROI by 45%, alongside improved store visit conversions.

Those are eye-catching numbers, though as with any vendor-reported metrics, enterprises will want independent validation.

A Bigger Bet on Predictive Marketing

The acquisition reflects a broader industry shift toward predictive and prescriptive analytics in marketing. As AI matures, the competitive advantage is moving upstream—from insights to foresight.

This puts ZeroToOne into a rapidly evolving competitive landscape that includes data giants, adtech platforms, and AI-native startups all chasing the same goal: turning fragmented data into actionable predictions.

Where ZeroToOne could stand out is its focus on real-world behavior. Many platforms excel at predicting online actions; fewer can reliably connect that intelligence to offline outcomes like foot traffic and in-store purchases.

Leadership and Market Positioning

As part of the deal, marketing veteran John Costello joins ZeroToOne’s board as Vice Chair, bringing deep brand and growth expertise from his time at Dunkin’ Brands.

GroundTruth’s leadership team will also transition into the combined company, ensuring continuity for customers and partners—a critical factor in large platform integrations.

The Bottom Line

ZeroToOne’s acquisition of GroundTruth isn’t just about scale—it’s about redefining how enterprises make decisions.

If the company delivers on its promise, marketing teams may spend less time analyzing dashboards and more time acting on AI-driven predictions—shifting from reactive campaigns to anticipatory strategies.

That’s a compelling vision. The real test will be whether predictive accuracy holds up across industries—and whether enterprises are ready to trust AI with decisions that directly impact revenue.

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