How a Shopify brand can send conversational shopper leads to Klaviyo

A Shopify brand can use an AI shopping assistant to ask for a shopper’s email at a relevant point in product discovery, capture details such as budget and product interests as the conversation unfolds, and pass the resulting contact record to Klaviyo. With Anagram’s Klaviyo connection, the brand chooses the destination list and can define the extra shopper details to collect; Anagram sends the information automatically after the conversation ends.

What the assistant should capture

The assistant should collect information that changes the recommendation or the follow-up, not force every shopper through a long form. Email identifies the contact; budget and product interest explain what the person is trying to buy.

A useful conversational capture might include:

Data	Example value	Why it helps afterward
Email address	shopper@example.com	Identifies the contact for follow-up
Budget	Under $100	Supports price-relevant recommendations and messaging
Product interest	Trail shoes	Separates the shopper’s category intent from a generic signup
Other relevant attribute	Gift purchase, preferred color, or use case	Gives the next message useful context

The exact fields should reflect the buying decision. A beauty brand might ask about skin concerns and routine; an outdoor brand might ask about activity and conditions. “Product interest” should describe the category, product, or problem the shopper discussed rather than a vague label such as “interested.”

Klaviyo supports custom profile properties for information collected about a contact. Its documentation says those properties can be used to tailor content, create segments, and filter flows. See Klaviyo’s guide to custom profile properties.

How the Shopify-to-Klaviyo workflow works

The workflow has four practical steps: start a useful shopping conversation, capture the contact details naturally, map the details to Klaviyo, and trigger a relevant follow-up.

1. Start with the shopping problem. Let the assistant answer questions and recommend products before asking for an email. A shopper who has just received a shortlist has a clear reason to share an address: receiving the recommendations, getting help deciding, or continuing the conversation later.

2. Ask for email in context. The assistant can ask for an email when the shopper requests a saved recommendation or follow-up. It can gather budget, product interest, and other selected attributes in the same interaction instead of presenting a generic newsletter form.

3. Connect the destination. In Anagram, connect Klaviyo and enable the Klaviyo skill for the relevant experience. Anagram’s Klaviyo changelog entry says the brand can choose the exact Klaviyo list for new contacts and define the additional shopper details collected from conversations.

4. Send after the conversation ends. Anagram’s documented workflow sends the captured email and selected details to the chosen Klaviyo list automatically after the chat finishes. That gives the marketing team a contact record with more buying context than a bare newsletter signup.

5. Build the follow-up in Klaviyo. Use the list and the captured properties to decide what happens next: a product education flow for a high-consideration category, a budget-matched recommendation series, or a reminder that helps the shopper compare the products they discussed.

This is different from sending every chat visitor into one newsletter list. The assistant should pass the shopper’s stated intent, while Klaviyo handles the audience logic and message sequence.

How to turn captured details into useful Klaviyo follow-up

Use shopper properties to make the first follow-up continue the conversation rather than restart it. A message that reflects the category and constraints the shopper gave the assistant will be more useful than “Thanks for subscribing.”

A simple operating model looks like this:

• Segment by product interest. Create audiences for the categories shoppers ask about, such as trail shoes, moisturizers, or sofas.
• Filter by budget. Use budget as a profile property if it is collected in a consistent format. Keep values standardized, such as defined ranges, so they remain usable in segmentation.
• Match the message to the buying stage. A shopper comparing options may need a buying guide; a shopper who received one recommendation may need product-specific proof, care information, or availability details.
• Use missing data deliberately. If a shopper shares an email but not a budget, do not invent one. Send a broad category follow-up or ask for the missing preference later.
• Measure the path back to commerce. Compare conversion and engagement by conversation topic, captured product interest, and follow-up flow—not just by total list growth.

Klaviyo’s Profiles API documentation describes profile properties as usable for segmentation and flow filtering. That makes the conversation data operational, provided the values are mapped consistently. See the Klaviyo Profiles API overview.

Email capture is not the same as marketing consent

A shopper giving an email to receive conversational help is not automatically the same as agreeing to promotional email. The capture experience should state what the address will be used for and collect the appropriate marketing consent before subscribing the person to a marketing list.

Klaviyo stores subscription and consent information separately in a profile’s subscriptions data. Its documentation recommends collecting consent when subscribing profiles to email or SMS marketing; review Klaviyo’s Profiles API guidance and your applicable privacy requirements before activating the workflow.

Keep the records distinct:

• Conversation details: budget, product interest, use case, and the recommendation context.
• Identity: the shopper’s email address.
• Permission: whether and how the shopper agreed to receive marketing.

A brand should also make the consent language visible at the point of capture, avoid treating an inferred interest as permission, and ensure its Klaviyo list and flow settings reflect the consent collected. Klaviyo’s Shopify integration guide covers syncing Shopify subscriber data and custom profile properties.

When this approach is a good fit

A conversational Klaviyo workflow is most useful when shoppers need help choosing and the answer contains signals the marketing team can act on. It is less useful when a catalog is simple, the only goal is a standard discount signup, or the team has no plan for using the captured attributes.

Before launching, confirm four things:

1. The assistant can answer enough of the product question to earn the ask. Email capture should follow assistance, not replace it.
2. The fields have an owner. Someone should decide how budget and product-interest values are named, normalized, and used.
3. Each destination list has a purpose. Choose lists according to the follow-up experience, not simply because more lists appear more organized.
4. The flow reflects the shopper’s intent. The first message should make use of the information captured in chat.

For Shopify brands evaluating Anagram, the relevant capability is its branded Site Agent: the company describes it as answering customer questions and making guided product recommendations. Its documented Klaviyo connection adds the handoff layer—natural in-chat capture of email and selected shopper details, followed by automatic delivery to the Klaviyo list the brand chooses.