Chord Buys Rival Zenlytic for $5M to Build Agentic CDP

Chord, a six-year-old commerce tech startup, paid $5 million on Tuesday to acquire Zenlytic, an AI analytics rival whose anthropomorphized data analyst agent is named Zoë. The deal creates a combined business with roughly 30 full-time employees, some 60 customers and an annual run rate nearing $10 million, Chord co-founder and CEO Bryan Mahoney told AdExchanger.

The acquisition caps a sharp pivot for both companies. Since the rise of large language models, each has remade itself as an AI-based data infrastructure service.

Why Chord moved away from headless commerce

Chord launched as a headless commerce software company, Mahoney said. The approach decoupled the front-end website from back-end fulfillment, giving Shopify merchants and social-native sellers faster-loading pages at a time when Google's SEO rewarded speed. Shopify has since fixed its own storefront performance problem, removing the original rationale.

That shift pushed Chord into a new model: usage-based pricing instead of traditional subscriptions. The company now tracks how often users prompt its AI agent, and that rate has accelerated to roughly once every 20 seconds, according to Mahoney.

What does this change for marketers?

Mahoney described the combined business as an agentic version of a customer data platform. Sonos, a Chord client, uses it to track customers and enrich first-party data — for example, detecting when a customer is moving to a new home, an opportune moment to send email or SMS messages about new products.

Zoë "largely replaces" Chord's own analyst agent, Mahoney said. But Chord's other agents work better alongside her. Chord has gone deeper into commerce infrastructure, targeting Shopify-type businesses and Snowflake data warehouse users in particular. Zenlytic has served large enterprise brands of all kinds, not only ecommerce, and supports many more cloud data warehouses.

The goal, Mahoney said, is for Zenlytic's large customers — including Black & Decker, Verizon, J.Crew and Stanley — to adopt Chord's data infrastructure and activation, including the ability to segment profiles or audiences for campaign targeting and measurement.

Guardrails and the limits of agent trust

Usage-based pricing creates a misuse problem. Mahoney pointed to a recent case in which someone used McDonald's online customer support and ordering agent to answer demanding math and computer science questions, avoiding the cost of paying for their own AI tokens. McDonald's has since fixed it.

Chord trains its agent to decline off-base prompts — such as requests to use it "like a therapist" or to "make these results look better to a CFO," Mahoney said.

The bigger issue for enterprise adoption is trust. Mahoney noted that outright hallucinations from earlier LLMs have become relatively rare, but the risk has changed shape. "Now it might be more like a lucid dream," he said. Outputs are believable and often feel correct, which means a confident-sounding agent can still lead a marketing team badly astray.

"We constantly [need to] evaluate the answers that we're getting back to make sure that the way we're using AI is increasing confidence on a daily basis, not getting eroded," Mahoney said. "These are some of the things that keep me up at night."

Winning enterprise brands like Verizon and Stanley will depend on whether that daily discipline holds as the merged agent field scales.