Klaviyo’s AI Agents Are Built To Fix Marketing’s Context Problem
Klaviyo’s AI agents, Composer and Customer Agent, are marketing automation tools embedded in its CRM that use a shared, real-time customer profile to automate lifecycle campaigns and service interactions while continuously updating preferences, intent signals, and engagement data across teams. This is not yet another shiny AI feature; it is a direct attempt to fix the most expensive problem in modern marketing: disconnected context. Marketers don’t struggle because they lack AI—they struggle because the tools can’t act on what is happening with a customer right now. By rooting both agents in the same profile and allowing them to trade signals, Klaviyo is betting that the future of customer experience belongs to brands that treat marketing and service as one continuous conversation instead of separate workflows.
Composer: From Manual Lifecycle Campaigns To Automatic Opportunity Capture
Composer moves into public beta as Klaviyo’s AI marketing agent, built to answer two painful questions: where to focus, and how to find the time to execute. Instead of marketers manually auditing flows and campaigns, Composer runs a full audit of every live campaign, flow and segment, then surfaces a ranked list of revenue opportunities. When brands pick an opportunity, the agent identifies ways to improve revenue and builds a cross-channel campaign to capture it. This matters for lifecycle campaigns, which depend on dozens or hundreds of intent-driven flows. One early user reported that Composer’s Flow Audit exposed collisions across a 113-flow library, where automations were competing for the same customers and adding unnecessary message volume and potential revenue loss. In short, Klaviyo AI agents are positioned not as copy-writing toys, but as systems that redesign how lifecycle campaigns are planned and maintained.
Customer Agent: Service That Acts, Then Feeds Marketing In Real Time
Customer Agent is Klaviyo’s AI-powered service platform, now expanded alongside Composer and anchored in the same real-time profile. Its job is to turn service from a dead-end channel into a live source of customer context sharing. When the Customer Agent resolves a conversation, it writes preferences, product interests and intent signals back to the record. Composer then uses those signals to build smarter marketing campaigns and, when those campaigns run, the resulting engagement informs how Customer Agent personalizes the next interaction. Practically, this means the service agent does more than explain policies. Instead of explaining a return policy, Customer Agent completes the return process; instead of describing loyalty points, it applies them across web chat, email, SMS, WhatsApp and custom surfaces. That is a strong stance: AI should handle the action, not just the message, and that action should immediately reshape marketing.
Interoperability: Why Shared Context Beats More Data
The real argument behind Klaviyo AI agents has little to do with model power and everything to do with interoperability. The company processes around 2 billion data points a day across more than 8 billion profiles, but warns that routing data through warehouses or lakes kills real-time decisioning. As Co-CEO Chano Fernandez puts it, a disconnected stack shows up most clearly in customer experience—like sending a promotional offer hours after a complaint. He is blunt that the gap between omnichannel ambition and reality is more about interoperability than data access, because separate systems create separate experiences. Composer and Customer Agent counter this by sharing intelligence across marketing and service from one profile, so flows—those intent-driven automations that can drive roughly 10 times more revenue than generic broadcasts—can respond to behavior across channels instead of operating in silos. The aim is to stop the compounding cost of fragmentation, not to add another dashboard.
What Marketers Should Do With Klaviyo’s Bet On Agent-Led CX
Composer’s public beta and the expanded Customer Agent land in a context where dozens of major retailers already use Klaviyo as their marketing automation platform, collectively driving more than $9 billion in ecommerce sales in 2025. The company now argues that the next phase is agent-to-agent commerce, where a shopper’s AI talks directly to a retailer’s AI—a shift Fernandez believes could represent 20–30% of retail ecommerce within three to five years, with significant agent ecommerce becoming common in 12–18 months. That forecast may prove aggressive, but the direction is clear: AI agents will not stay behind the scenes. Marketers who treat Composer and Customer Agent as strategic tools—connecting lifecycle campaigns and service around one profile instead of chasing yet another point solution—will be better placed if agents become the default way customers buy, complain and stay loyal.
