Marketing Teams Can Now Audit Campaigns in Minutes, Not Hours

Marketing software company Klaviyo has deepened its partnership with Anthropic to let marketers query customer data, campaign performance, and audience segments directly inside Claude. The update, announced May 7, 2026, extends the connection across both Claude.ai and Claude Cowork, Anthropic's enterprise desktop product for running multi-step automated sessions.

The practical shift is significant. Instead of pulling reports manually, exporting spreadsheets, and pasting data into a chat window, marketers can now type a plain-English request, and Claude retrieves the live Klaviyo data and drafts the output.

What Changed in This Update

Klaviyo first made its Model Context Protocol (MCP) server (a standardized way for software to connect to AI assistants) available in August 2025. The May 2026 update adds two capabilities: support for MCP Apps and a Query Metric Aggregates tool that lets Claude pull raw performance numbers directly from Klaviyo.

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The firm claims early adopters have reported an 80% reduction in report generation time.

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The combination means Claude can now access campaign open rates, flow performance, customer segments, and lifecycle signals without anyone exporting a file first. A marketer can ask Claude to audit all active email flows, identify underperforming segments, or draft a re-engagement campaign, and receive a finished document in the same session.

Full account audits that previously took a strategist three to four hours can now be completed in minutes using a single prompt.

Claude Cowork Adds Unattended Execution

The more significant expansion is the Claude Cowork integration. Cowork, launched in January 2026, is designed for unattended multi-step sessions where the AI works through a task list without a human watching every step.

With Klaviyo connected, a team can set up a Cowork session to pull data across multiple client accounts, generate campaign briefs for each, and save the completed files to the correct folders, all without anyone sitting at a keyboard. The system completes the work, and the team reviews the output.

"Marketing teams are drowning in reporting and repetitive production work," said Andrew Bialecki, Co-Founder and Co-CEO of Klaviyo. "We're turning Claude into an agentic surface for Klaviyo, one that not only understands performance data, but also in minutes drafts the briefs, audits, and campaign assets that used to take hours."

Why Klaviyo Is Not Building Its Own AI

Rather than building proprietary AI, Klaviyo is positioning its customer data layer as the connective tissue for whichever AI assistants marketers actually use. Its MCP server is already connected to Claude and ChatGPT, and the company has a separate partnership with Google covering AI-assisted commerce across Ads, Search, and RCS messaging.

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The shift responds to SE Asia's quick embrace of generative AI tools, with 70% of the region's population now using the tech weekly.

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The strategy reflects a broader competition playing out across enterprise software. HubSpot launched its AI Prospecting Agent in Spring 2026. Salesforce Agentforce 360 combines CRM data, automation, and AI across its full stack. Klaviyo's differentiator is neutrality: it serves as the data layer for multiple AI providers rather than betting on one.

This matters for APAC teams in particular. Klaviyo's APAC business is growing at roughly 35% annually, with its regional headquarters in Sydney and active expansion across Australia, New Zealand, and Southeast Asia. Brands in the region that are already building revenue-critical operations on Klaviyo now have a direct path to AI-assisted campaign management without switching platforms or rebuilding workflows.

McKinsey research on agentic marketing workflows documents activation timelines shrinking from three days to under one hour when AI agents are given direct access to live marketing data. That is the productivity shift Klaviyo is now making available to its 196,000+ paying customers out of the box.

The gap between organizations using AI in marketing and those running it in full production remains wide. 90.3% of marketing organizations now use AI agents in some capacity, but only 23.3% have moved them to full production. Plug-and-play integrations like this one are designed to close that gap without requiring technical implementation work.