What Can Klaviyo's AI Agents (Composer and Customer Agent) Do?
Updated
Klaviyo's two headline AI agents handle different jobs. Composer is a marketing agent: it finds revenue opportunities in your customer data, then plans and launches personalized campaigns across channels, with you approving each step and results measured. Customer Agent is a service agent: it answers customer questions 24/7, resolving about 65% of them autonomously, and is pre-trained on your brand from day one. Both sit inside Klaviyo's "autonomous B2C CRM," which the company says powers 205,000+ brands across 100 countries.
Composer: the marketing agent
Composer works from the premise that the revenue opportunity already exists in your customer data — the agent's job is to spot it and act.
- Finds the opportunity. It scans customer data to identify where revenue potential sits, rather than waiting for you to define a segment and campaign from scratch.
- Plans and launches. It builds personalized campaigns and launches them across every channel in your stack.
- Keeps you in control. You approve every step before it goes out. This is the key difference from a fully hands-off tool: the agent proposes, you decide.
- Measures results. Every outcome is tracked, so you can judge whether the campaign delivered.
A practical example: a repeat-purchase gap appears in your data for a subset of customers. Composer surfaces that as a revenue opportunity, drafts a personalized multi-channel campaign to address it, and waits for your approval before sending — then reports what it earned.
Customer Agent: the service agent
Customer Agent is built for support with a commercial edge — Klaviyo frames it as "support with serious selling power."
| Capability | What it means for you |
|---|---|
| 24/7 autonomous resolution | Handles customer questions around the clock without staffing |
| ~65% autonomous resolution rate | Klaviyo reports it resolves about 65% of questions on its own |
| Pre-trained on your brand | Ready on day one, rather than requiring a long setup |
| Customizable skills | You can tell it what you want and it builds it |
Because service and marketing share one platform, the support team has the customer data it needs for faster resolutions, smarter recommendations, and upsell or loyalty opportunities.
How the two agents fit together
The agents are not isolated features. They draw on the same customer data, and Klaviyo positions them alongside a broader AI set (including Remix and an MCP Server) and a personalization layer whose models decide who to reach, what to say, where to send it, and when — across channels including email, SMS, WhatsApp, mobile push, and RCS for Business. Klaviyo says this runs on your customer data plus 9B+ profiles, with controls you can see and adjust.
What to check before relying on them
- Approval workflow. Composer's value depends on your team actually reviewing and approving steps; plan who owns that review.
- The 65% figure. Treat it as Klaviyo's reported benchmark, not a guarantee for your question mix — test against your own support volume.
- Channel coverage. Confirm the channels you use are among those supported before assuming a single agent covers them all.
- Pricing and plan limits. Klaviyo publishes a pricing page and enterprise/professional support packages; check those directly for what applies to your account rather than assuming any tier includes full agent access.
For teams already running ecommerce marketing and support on separate tools, the appeal is consolidation: one data layer feeding a marketing agent that proposes and measures, and a service agent that resolves and sells.