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    Align with Klaviyo's autonomous B2C CRM framework

    Course overview
    Lesson
    4 min read

    See the framework in action

    Curious what this looks like in real life? Here are two examples of real Klaviyo customers who are using Klaviyo's autonomous B2C CRM.

    The Autonomous B2C CRM in Action

    The framework only means something when you can see it working. Each of the brands below took a different path, but they all got to the same place: a connected stack that does more of the heavy lifting for them.

    Here are the three moves that got them there:

    • Unify your data. Every customer interaction lives in one place. That's the foundation everything else builds on.
    • Let AI find the signal. With clean, unified data, Klaviyo AI can surface predictions, build smarter segments, and identify opportunities you wouldn't find on your own.
    • Let the platform do the work. This is where it pays off. Whether that's AI handling customer conversations around the clock or automation adjusting who gets what message and when, the platform takes over the execution so your team doesn't have to.

    Look for all three in the two examples below:

    Garrett Popcorn

    Garrett Popcorn had Klaviyo set up and data flowing in from BigCommerce. The problem: they weren't using it. Campaigns went to the full list. Personalization was minimal. And deliverability was quietly suffering because of it.

    Digital marketing director Marina Rutter changed that by putting Klaviyo's data and AI to work.

    Unify your data: Garrett pulled first-party ecommerce data into Klaviyo via the BigCommerce integration, capturing browsing, add-to-cart, and purchase behavior for every subscriber. They layered in survey data through Typeform, storing flavor and shopping preferences directly in customer profiles. Every signal, in one place.

    Let AI find the signal: With that data unified, Klaviyo AI built a segment of customers predicted to place their next order soon. Campaigns sent to this segment generated 4x higher revenue per recipient and $12.2K+ in revenue in July alone.

    Let the platform do the work: Garrett built 15 engagement segments and an engagement track strategy that automatically adjusts send frequency based on how subscribers interact. More engagement means more emails. Less means fewer. The platform manages the cadence continuously, no manual intervention needed.

    Read their story here.

    Thirdlove

    Thirdlove was running email and SMS on separate platforms. Basic tasks required developer support. Cross-channel flows were nearly impossible to build. And their customer account pages had little dynamic content to bring shoppers back.

    They moved everything to Klaviyo, added Customer Hub to their storefront, and deployed K:AI Customer Agent.

    Unify your data: Thirdlove pulled 10+ custom data points from their fitting room quiz into Klaviyo profiles via Digioh. They connected loyalty data from Yotpo, enabling segmentation by loyalty status and automations that trigger based on reward eligibility. Every data point that mattered fed into one profile.

    Let AI find the signal: Klaviyo's AI-powered channel affinity identifies which channel each subscriber is most likely to engage with and routes them there automatically. Customer Hub surfaces personalized product recommendations and loyalty tracking for each shopper.

    Let the platform do the work: Thirdlove deployed K:AI Customer Agent to handle customer interactions around the clock. The agent completed 40,000+ interactions in 2025 and contributed to $200K+ in Customer Hub revenue.

    Key results: 15x SMS ROI in H1 2025. $200K+ in Customer Hub revenue.

    Read their story here.

    See the framework in action