Klaviyo expands Anthropic link for marketing workflows

Klaviyo has expanded its integration with Anthropic to bring marketing workflows into Claude, extending its data connection across Claude.ai and Claude Cowork.

The broader integration lets marketers connect Klaviyo customer and performance data to Claude through Klaviyo's Model Context Protocol server. They can then use natural-language prompts to generate performance summaries, campaign briefs, flow audits, and other marketing materials.

The companies are addressing a common problem for marketing teams that manage large volumes of customer data across multiple channels. Many still compile reports manually, export information between software products, and spend time turning analysis into documents or campaign plans.

The updated connector adds support for MCP Apps and a Query Metric Aggregates tool for metric reporting. This allows Claude to pull Klaviyo reports, work across them, and produce documents and recommendations based on data held in the platform.

Marketers can connect their Klaviyo accounts and give Claude access to campaign data, flow performance, customer profiles, and other customer lifecycle signals. They can then ask the assistant to identify customer segments, analyse marketing flows, or suggest campaigns without rebuilding dashboards elsewhere.

Workflow shift

The integration also expands how Claude works inside Anthropic's desktop-focused Claude Cowork product. The connection lets Claude Cowork pull data from Klaviyo, write and format documents, generate copy, and save files in a single unattended session.

That means a marketing team could ask the system to audit automated flows, prepare weekly reports, or draft re-engagement campaigns, then return to a completed set of materials. Users can also build custom skills with tools from Klaviyo's connector to automate repeated tasks.

The announcement comes as software companies push so-called agentic AI products designed not only to answer questions, but also to complete work on behalf of users. In marketing, that approach has focused on reducing time spent on reporting, asset production, and campaign planning.

"Marketing teams are drowning in reporting and repetitive production work," said Andrew Bialecki, Co-Founder and Co-Chief Executive Officer 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," he said.

Data access

Klaviyo presented the integration as part of a broader effort to connect its customer data with third-party AI systems rather than tie users to a single model provider. Its MCP server is intended to let brands analyse marketing and business performance within tools they already use while maintaining control over their data.

That model-agnostic approach reflects a wider debate in enterprise software over whether customer data platforms should act as systems of record for AI assistants built by others. Vendors are increasingly trying to make their data stores available inside external assistants, while also presenting themselves as trusted intermediaries for access, permissions, and context.

Klaviyo, which focuses on business-to-consumer customer relationship management, said the use cases extend beyond retail. In hospitality, for example, businesses could use reservation or guest engagement data stored in Klaviyo to identify lapsed guests and prepare targeted re-engagement campaigns.

Those workflows could connect operational signals with marketing decisions, giving teams a way to use AI tools for both campaign optimisation and broader business analysis. The practical value of that approach will depend on the quality of the underlying customer data and on how reliably teams can turn generated outputs into approved marketing activity.

Klaviyo says more than 196,000 paying customers use its platform, including Mattel, TaylorMade, Glossier, Liquid Death, and Daily Harvest.