How AI agents reshape marketing work
Generated by Klaviyo AI
Agentic marketing uses AI agents to analyze performance, recommend actions, and prepare campaigns, flows, and segments while marketers set goals and approve what goes live. The page explains how this approach differs from traditional automation, how its operating loop works, and how teams can adopt it.
- Beyond automation: Unlike traditional automation, marketing agents identify what needs attention and help build the next action.
- Context-driven work: Agents use customer data, brand guidelines, performance information, and product context to produce relevant recommendations and drafts.
- Beyond automation: Marketing agents identify what needs attention and prepare improvements, while traditional automation executes predefined workflows.
- Human control: Marketers define goals and guardrails, review the agent's work, and approve everything before customers see it.
- Connected context: Effective agents use customer data, performance results, product information, and brand guidelines to inform their recommendations and drafts.
- Practical adoption: Teams can start with one recurring task, review early output closely, and expand to larger cross-channel launches as trust grows.
- Composer finds opportunities, explains its reasoning, creates marketing work, and runs repeatable tasks while requiring human approval.
- Connected execution: Marketing agents connect analysis and creation so work can progress without separate prompts for every step.
- Human oversight: Marketers define goals, guardrails, and customer relationships, then review and approve all work before launch.
- Teams can start with unified customer data and one recurring task before expanding to larger cross-channel launches.
Agentic marketing is a newer marketing approach where AI marketing agents do the hands-on work of marketing, like analyzing performance, planning campaigns, and building flows and segments, while marketers set the goals and approve what goes live.
A marketing agent is an AI tool that works from your customer data and brand context, surfaces what needs attention, and prepares the work for your review.
This type of AI tool is new, but the goals of the marketing team are the same. Agentic marketing exists for the same reason your email and text message programs do: to build relationships with customers who you want to keep coming back.
A marketing agent can draft a message, pick the timing, and choose which product to feature. Deciding what that customer relationship should feel like is still the job of the marketer, and they approve everything before it goes live.
AI agents are spreading through business software fast. Gartner predicts that 40% of enterprise applications will be integrated with task-specific AI agents by the end of 2026, up from less than 5% in 2025. Most marketing teams, meanwhile, still use AI one task at a time: a subject line here, a product description there. Agentic marketing fills the space between those tasks, so the work moves without someone pushing each step.
Agentic marketing vs. traditional marketing automation
Traditional marketing automation executes on exactly what you, the marketer, built. You write the message, set the trigger, and the flow sends when a customer meets the conditions. It's still the backbone of most retention programs. But your automation won't tell you that your browse abandonment flow stopped earning its keep in March, and it won't draft the fix.
An AI marketing agent, on the other hand, sits above your automations. It looks across your campaigns, flows, and customer data, finds what deserves attention, and prepares the work: a new segment, a revised flow, a campaign built around a product launch. Your automations keep running. The marketing agent helps you decide what to build next, then does much of the building.
Traditional marketing automation | Agentic marketing | |
|---|---|---|
What it needs from you | The message, the trigger, and the rules | A goal, your context, and your approval |
What it does | Sends what you built when conditions are met | Analyzes performance, recommends the next move, and prepares campaigns, flows, and segments |
What happens after a send | Runs the same way until you change it | Reports what happened and suggests what to change next |
Who decides what goes live | You, at set-up | You, at review |
Agentic marketing also differs from an AI writing tool. A writing tool answers the prompt in front of it. An AI marketing agent connects analysis and creation. It can find the flow that's underperforming, explain why, and draft the change, all from the same understanding of your business.
How agentic marketing works
Agentic marketing runs on a loop: observe what's happening, decide what to do, deliver it, and measure the result. You set the goals going in and approve the work before anything reaches a customer.
- Observe: The AI marketing agent reads your customer data, campaign and flow performance, product catalog, and brand guidelines. The more context it has, the less generic its output.
- Decide: It spots what deserves attention, like a segment going quiet or a flow with a falling conversion rate, and recommends what to do about it, with its reasoning attached.
- Prepare: Once you agree on a direction, the agent builds the work. That might be a cross-channel campaign, an edit to an existing flow, or a new segment, written in your brand voice.
- Approve and deliver: You review the work, change what needs changing, and approve it. Nothing goes live until you do, and once you approve, it sends on schedule.
- Measure: After launch, the marketing agent reports on results. What you learn shapes the next round of decisions.
Key features of agentic marketing
Plenty of AI marketing tools now call themselves agents. Here's what separates a marketing agent from a chat window with a new name:
- Customer context: It works from a real-time profile of each customer, including purchases, browsing, and engagement across channels, so its recommendations reflect what your customers actually do.
- Brand context: It learns your voice, visual identity, and rules from your brand guidelines and past content, so its first draft sounds like you.
- Analysis that shows its work: It answers questions about your performance with evidence you can check, like the data behind each answer.
- Creation across channels: It builds campaigns, flows, and segments for email, text messages, and other channels from one brief.
- Human approval: You review and approve before anything goes live, so you control what your customers see.
- Repeatable tasks: It runs recurring jobs on a schedule, like a weekly performance review or a monthly flow audit, so the work keeps moving between your check-ins.
Benefits of agentic marketing
Agentic marketing moves the busywork off your plate and keeps the judgment on it. Here's what that changes:
- More time for decisions only you can make: When a marketing agent builds audiences, drafts variants, runs pre-send checks, and pulls reports, your week goes to positioning, offers, and creative bets.
- Fewer missed opportunities: A marketing agent can review your whole program on a schedule and flag what's slipping, like a flow that stopped converting or a high-value segment you haven't emailed in weeks. Catching that in week one beats finding it in the quarterly review.
- Faster from idea to launch: Because the marketing agent starts from your data and brand context, the first draft arrives closer to done. Review becomes an edit instead of a rewrite.
- Marketing that fits each customer: Your team can hand-build a handful of segments. A marketing agent can help you build and maintain many more, so more of your customers get marketing campaigns that match what they buy and browse.
How to get started with agentic marketing
You don't need to rebuild your marketing program to start. Here's a practical path:
- Get your customer data in one place: A marketing agent is only as good as the context it works from. Connect your store, reviews, loyalty, and service data so each customer has a single profile.
- Write down your goals and guardrails: Document your brand voice, the offers you won't run, the audiences you won't contact, and who approves what. The marketing agent works inside these rules, and so does your team.
- Start with one recurring job: Pick something your team does weekly, like reviewing campaign performance or auditing a flow, and hand it to the marketing agent.
- Review closely at first: Treat early output as a draft. Edit it, note what the agent missed, and add that to its context. Your reviews get faster as you fill in what it was missing.
- Expand to launches: Once you trust the marketing agent with recurring analysis, give it bigger briefs, like a full product launch across email and text messages.
How Klaviyo's AI marketing agent helps
Klaviyo is the agent-first operating system for B2C. Customer profiles, channels, and agents all run on the same real-time customer data, so your marketing agent works from what your customers actually bought, browsed, and asked about.
Composer is Klaviyo's AI marketing agent. It brings together your business context, Klaviyo expertise, and connected tools to find opportunities, decide what to do next, and get more of the work done.
Find what matters
Ask Composer what to focus on this week, and you get the highest-impact opportunity, why it matters, and the next steps. Ask why you're pacing behind goal, and you get an explanation backed by evidence. Composer cites its sources, draws on industry benchmarks, and can query your Klaviyo data directly, so you can check its work.
Create with your context
Give Composer an outcome, and it prepares marketing that's ready for your review: campaigns, flows, segments, and cross-channel creative. It works from your Brand Kit and brand context, and it can pull from tools you connect. Composer can review a launch brief in Google Drive and product data in Shopify, for example, then build the campaign in Klaviyo.
Keep the work moving
Composer goes beyond the prompt. Schedule a recurring task, like "Every Monday, review my campaigns and flows," and Composer runs the review and notifies you with what it found. Save a process that works, like your pre-send quality check or weekly report, as a custom Skill so it runs the same way next time. When Composer recommends a change to a flow, you can apply it in one click.
And you stay in charge. Composer has built-in control: nothing goes live without human approval.
Agentic marketing changes who does the work. It doesn't change what the work is for: customers who know you, trust you, and come back.