Marketing tasks AI agents can take on
Generated by Klaviyo AI
The article outlines 10 marketing jobs that Klaviyo Composer can support, from analysing customer data and auditing flows to drafting campaigns and scheduling reports. It explains how customer data, reusable instructions, and supported connectors inform that work, while marketers retain responsibility for reviewing outputs and making strategic decisions.
- Data and diagnostics: Composer can analyse Klaviyo data, identify revenue opportunities, and audit flows for structural issues and performance concerns.
- Campaigns and audiences: Plain-language prompts can produce draft lifecycle flows, customer segments, and coordinated cross-channel campaigns for marketers to review.
- Repeatable marketing work: Scheduled tasks automate recurring analyses, while Composer Skills save reusable instructions for established team processes.
- Connected customer context: Supported connectors bring external information into workflows, while Composer also supports building, testing, and analysing Klaviyo Customer Agent.
- Human review: Marketers validate findings, review drafts before launch, and make manual updates where recommended changes are not supported.
Marketing is entering a strange new chapter. AI agents can build campaigns, analyse performance, and find problems in your customer journeys. Meanwhile, consumers are beginning to use their own AI assistants to discover products, compare options, and make buying decisions.
For B2C brands, that means two things are happening at once:
- You still need to win customers through the channels that are important to your business today: email, text messages, your website, social media, and search.
- You also need to prepare for a world where an AI agent may discover your product, compare it against competitors, or eventually help complete a purchase on someone's behalf.
The common denominator is customer data.
Whether someone visits your website, opens an email, talks to your customer service agent, or interacts with an LLM, the brands that understand their customers over time will have an advantage.
And that makes the work of marketing more important, even as AI changes how the work gets done.
The opportunity for marketers is to stop spending so much time manually assembling campaigns, checking reports, building segments, and troubleshooting flows. AI agents can increasingly handle those activities, giving marketers more time to decide which customers to reach, what experiences to create, and where to grow.
Klaviyo Composer is built for that shift. As Klaviyo's AI marketing agent, Composer works with your customer, marketing, and commerce data to uncover opportunities, build campaigns, create flows, and improve what's already running.
Here are 10 jobs you can start handing off to an AI marketing agent like Composer, with prompts you can try out today.
1. Find the revenue opportunities hiding in your customer data
Most marketers have access to more data than they can reasonably analyse. You can see which campaigns performed well, which customers purchased, how your flows contributed to revenue, and where engagement declined.
But connecting those signals into an answer often takes hours of reporting.
Composer can investigate the question for you. Ask about your business in plain language and it analyses. It analyses your Klaviyo data, provides supporting evidence, and helps you understand what's driving performance. You can also compare results against relevant industry benchmarks.
For example, instead of manually comparing first-time and repeat customers, you could ask where the biggest drop-off happens between purchases, which audiences are affected, and where you should focus your retention efforts.
This is particularly useful for marketers who know there's an opportunity somewhere in their data, but don't have the time to find it.
Look at our customer purchase history over the last 12 months. Where is the biggest drop-off between first and second purchase? Identify the customer segments contributing most to that drop-off and recommend 3 opportunities to improve repeat purchase rates. Show the evidence behind your recommendations.What to measure: repeat purchase rate, time between orders, and revenue from the segments you identify
2. Audit your marketing flows and find what needs fixing
When was the last time you looked at every flow running in your account?
A welcome series you built two years ago might use outdated messaging. An abandoned cart flow could overlap with another automation. A win-back flow might be delivering disappointing results without anyone noticing.
These problems are easy to miss because the flows keep running.
Composer can audit your flows, examine their structure and performance, and return prioritised recommendations for how to improve performance. You can investigate individual flows or look across your broader lifecycle programme.
Consider a brand with 50 active flows. Instead of asking a retention marketer to manually review every one, the team could use Composer to identify which flows have structural problems, overlapping messages, or performance concerns, then focus their attention on the most important fixes.
Composer can help prepare certain eligible changes, while other recommendations require manual updates. Marketers review and validate the findings before making changes.
Audit my live welcome, browse abandonment, abandoned cart, and win-back flows. Look for overlapping messages, problematic trigger logic, outdated content, and performance issues. Rank your findings by urgency and potential business impact. Explain which changes you recommend and why.What to measure: revenue per recipient, flow conversion rate, customer message frequency, and number of priority issues resolved
3. Build a complete lifecycle flow from a single prompt
A good lifecycle flow requires more than a few messages. You need a trigger, appropriate timing, customer segments, conditional logic, channel-specific messaging, and content that reflects your brand.
Building all of that manually takes time.
Composer can turn a plain-language goal into a draft flow with the structure and messages already created. Depending on the flow and supported channels, that can include email, text messaging, and mobile push. Here’s what that might look like in practice:
- For a retail brand, it could mean creating a welcome experience that introduces the brand, encourages a first purchase, and follows up differently depending on engagement.
- For a hospitality brand, it could mean creating a pre-arrival journey that helps guests prepare for their stay and discover relevant experiences.
You still decide whether the flow makes strategic sense. Composer handles much of the initial build.
Build a welcome flow for new subscribers. Start with an email introducing our brand and bestselling products. Add a follow-up for subscribers who haven't purchased after 3 days. Create a separate path for customers who make their first purchase, and draft the messages in our brand voice. Show me the full flow for review before activation.What to measure: time to launch, first-purchase conversion, flow revenue, and customer engagement
4. Build smarter audiences without manually constructing every segment
Segmentation is one of the most powerful ways to make marketing more relevant. It's also one of the easiest activities to postpone.
You might know that customers who buy skincare products every 30 days should receive different messages from customers who only shop during the holidays. Turning those insights into useful segments, however, requires analysing behaviour, identifying patterns, and configuring the right conditions.
Composer can help. Describe the audience you're trying to reach, and Composer can create a draft segment for you to review. You can also ask it to investigate customer behaviour and suggest additional segmentation opportunities.
Analyse our customer purchase patterns over the last year. Identify customers who purchase on a predictable replenishment schedule, customers who mainly purchase during seasonal promotions, and customers whose normal purchase frequency has recently declined. Recommend a relevant message strategy for each audience and create draft segments for my review.What to measure: repeat purchase rate, revenue per recipient, segment conversion rate, and unsubscribes
5. Turn a campaign brief into a coordinated, cross-channel campaign
Creating a campaign involves a surprising number of individual tasks. Someone identifies the audience. Someone writes the copy. Someone checks that the content reflects the brand. Someone adapts the message for different channels. Someone chooses the timing.
Composer can handle all of these activities at once.
Describe the outcome you're trying to achieve, and Composer draft a campaign complete with messaging based on your brand context and recommendations for audience and channel mix. Nothing goes live without your review.
Create a reactivation campaign for customers who purchased during the summer but haven't returned. Use both email and text messages where customers have consented to those channels. Build the audience, recommend the message strategy, and draft channel-specific content in our brand voice. Explain your choices and prepare the campaign for review.What to measure: campaign production time, reactivation rate, revenue per recipient, and incremental revenue
6. Keep every message consistent with your brand
AI makes content easier to produce. But the more content a business creates, the harder it can become to maintain consistency.
One campaign sounds playful. Another sounds corporate. A text message feels completely disconnected from the email that preceded it.
Customers notice those differences.
Composer can use your Klaviyo brand context, including configured voice and visual standards, to create more consistent marketing drafts. You can also give it examples of campaigns that performed well, reference relevant brand assets, and refine generated content through follow-up instructions.
For global brands, the opportunity goes even further: teams can establish shared standards while adapting messaging for different markets and customer needs.
Review our brand voice and the last 5 high-performing campaigns. Identify the elements that make our messaging recognisable. Use those patterns to draft an email promoting our new collection. Keep the tone consistent with our brand and explain any recommendations that differ from our previous campaigns.What to measure: time spent editing AI-generated content, production speed, and campaign engagement
7. Put your weekly marketing reporting on autopilot
Every Monday, marketers ask some version of the same questions:
- What worked last week?
- What changed?
- Which flows need attention?
- Where are we leaving revenue on the table?
The answers might change, but the process rarely does.
Composer supports scheduled tasks that can repeat an analysis or review using fresh data. That means you can establish a recurring performance check without manually starting the same investigation each week.
For teams managing multiple markets or large lifecycle programmes, this can be especially valuable. Instead of spending the first part of the week building reports, you spend time responding to what the reports reveal.
Every Monday, analyse our campaign and flow performance from the previous 7 days. Highlight the 3 biggest positive changes, the 3 most important problems, and any unusual shifts in revenue or engagement. Recommend what our team should investigate first and include the supporting data.What to measure: reporting hours saved, time from issue detection to action, and number of recommendations implemented
8. Turn your team's best marketing processes into reusable skills
Every marketing team develops its own playbook. You might have a standard campaign QA checklist, a preferred approach to testing, or a particular way of reviewing lifecycle performance.
Too often, those processes live in someone's head or across several documents.
With Composer Skills, you can save reusable instructions for work your team performs repeatedly. Define how to approach a task, then reuse that saved Composer Skill with new context.
For agencies managing multiple clients or global brands coordinating across markets, this creates an opportunity to make proven ways of working more consistent.
Create a reusable campaign QA skill. Every time I ask you to review a campaign, evaluate the audience, exclusions, channel consent, brand voice, message clarity, links, timing, and measurement. Return a prioritised checklist of issues and recommendations. Do not make changes without my approval.What to measure: QA time, error rates, review consistency, and campaign production efficiency
9. Bring more of your marketing stack into the process
Marketing work rarely happens in just one platform. Campaign briefs might live in a project management system. Product information comes from an ecommerce platform. Creative assets live elsewhere, like in a Google Drive or a DAM. Performance information is also spread across several tools, like Meta and Google.
This creates a problem for AI agents that only understand one piece of the business.
Composer can use supported connectors to bring relevant information from other systems into marketing workflows.
For example, a marketer could use a supported project management or commerce connection to give Composer more context about an upcoming product launch before asking it to create a campaign.
The exact information and actions available depend on the connector and its permissions.
Using our connected product information and approved launch brief, prepare a launch campaign for our new collection. Identify the relevant products, recommend the audience, and draft an email campaign. Explain which information you used and flag anything missing before I approve the campaign.What to measure: manual preparation time, campaign accuracy, and time from brief to launch
10. Connect marketing and customer service insights
Customer conversations are an incredibly valuable source of marketing intelligence.
A shopper asking about sizing is expressing intent. A customer asking when a product will be available again is showing demand. Someone struggling with a return may be signalling a problem that affects their likelihood of buying again.
Those signals can help marketers understand what customers need. Klaviyo Customer Agent can answer both pre- and post-purchase shopper questions and help resolve support issues, while Composer supports building, testing, and analysing Customer Agent.
Analyse our Customer Agent conversations from the last 30 days. Identify the most common product questions, recurring purchase objections, and areas where shoppers need additional information. Recommend 3 marketing or customer experience improvements based on those findings.What to measure: service resolution, repeat contacts, customer satisfaction, and conversion outcomes where measurable
Start with one job, right now
You don't need to redesign your entire marketing operation to begin working with an AI agent. Pick just one problem. For example:
- Maybe your flows haven't been audited in months.
- Maybe your team spends every Monday creating reports.
- Maybe you have a campaign idea that keeps getting postponed because nobody has time to build it.
So, start with one job, based on your priorities. Here are a few to get you started.
Priority | What to do |
Make products discoverable. | Maintain accurate, detailed product attributes, prices, availability, and product information. |
Help agents understand your brand. | Make loyalty benefits, differentiation, and shipping, returns, and service policies easy to find and interpret. |
Build customer context. | Connect purchase history, preferences, loyalty activity, and zero- and first-party behavioral data. |
Prepare for AI agent transactions. | Work with commerce partners to understand emerging AI agent-compatible discovery and purchasing capabilities. |
Make lifecycle marketing more useful. | Build experiences around replenishment, product needs, customer service interactions, and changing customer intent. |
Evolve measurement. | Investigate AI referrals and emerging AI agent-mediated transactions alongside existing customer, campaign, and revenue metrics. |
Once you choose a priority, or a job, then give Composer the context, describe the outcome you want, and review what it produces. From there, build on what works.
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