Klaviyo
When a shopper asks about their order or a subscriber wants to update their preferences, your AI agent pulls their Klaviyo profile in real time, checks segment membership, and even triggers flow events. Every interaction feeds back into your marketing engine, so campaigns get smarter and customers feel known.
Your AI agent taps into Klaviyo's 231 API endpoints to personalize every interaction, from profile lookups and list management to event tracking and campaign orchestration.
Klaviyo
See how e-commerce brands use AI agents alongside Klaviyo to deliver hyper-personalized customer experiences at every touchpoint in the buying journey.
A returning visitor messages your website chat. Your AI Agent looks up their Klaviyo profile, detects an active 'Started Checkout' event from two hours ago, and brings up the abandoned items by name and price. It offers a 10% discount and a direct checkout link. The customer completes the purchase in chat. Your abandoned cart recovery rate improves without sending another email they might ignore.
A shopper asks 'Is the blue running shoe in size 10 available yet?' Your AI Agent checks Klaviyo's catalog variants, confirms the item is restocked, and sends the product link. If it is still out of stock, the agent subscribes the customer to a back-in-stock alert through Klaviyo's subscription endpoint. Either way, the customer gets a useful answer and your catalog drives revenue.
A new visitor starts a conversation on your site. Your AI Agent collects their email, creates a Klaviyo profile with custom properties like 'source: website_chat' and 'interest: running_shoes,' and tracks a 'lead_qualified' event. Klaviyo's flow triggers immediately, sending a welcome email with personalized product recommendations. Your new lead enters a targeted nurture sequence from the very first interaction.
Klaviyo
FAQs
The agent uses Klaviyo's Get Profiles endpoint with an email filter. When a customer identifies themselves, the agent queries their profile in real time and retrieves properties like lifetime value, total orders, predicted churn date, and custom fields. This data personalizes the entire conversation without the customer repeating any information.
Yes. The agent uses the Create Event endpoint to log custom events with any metric name and properties you define. For example, logging a 'chatbot_purchase_intent' event can trigger a Klaviyo flow that sends a follow-up email with product recommendations. Your marketing automation extends into every conversation channel.
Tars uses a Klaviyo private API key, which provides server-side access to profiles, lists, events, campaigns, and catalog data. You generate this key in Klaviyo under Account > Settings > API Keys. Public API keys are used for client-side operations and are not required for the Tars integration.
No. Tars queries Klaviyo's API in real time during each conversation. Profile data, purchase history, and segment membership are fetched live and used only to generate the current response. No customer records from Klaviyo are cached or stored on Tars servers.
Yes. The integration includes endpoints to create, update, and delete catalog items, variants, and categories. The agent can check if a product is in stock, update pricing, and manage category relationships. This is especially useful for keeping your catalog current when inventory changes during peak sales periods.
Klaviyo's K:AI operates within the Klaviyo dashboard for campaign generation and audience insights. Tars operates where your customers are, on your website chat, WhatsApp, and SMS. The AI agent uses Klaviyo data to have real conversations with customers, answer their questions, and feed interactions back into Klaviyo. The two are complementary, not competing.
Yes. Using Klaviyo's Create Back In Stock Subscription endpoint, the agent can subscribe a customer to restock notifications for a specific catalog variant. When the item returns to stock, Klaviyo automatically sends the notification. This turns an out-of-stock conversation into a future sale.
Klaviyo enforces burst and steady rate limits per endpoint. Tars manages API calls efficiently, spacing requests to stay within limits. For high-traffic scenarios, the agent queues non-urgent operations like list additions while prioritizing real-time lookups. If a rate limit is hit, the agent retries gracefully without disrupting the customer conversation.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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