Why does everyone in ecommerce use klaviyo instead of mailchimp?

Product Researcher

The short answer is that Klaviyo was designed specifically around purchase data, and Mailchimp was not. That difference in original intent shows up in almost every part of how the two tools work. When an e-commerce store connects to Klaviyo, the integration isn't just about syncing email addresses. Klaviyo pulls in order history, product catalog data, purchase value, browsing behavior, cart events, and refund activity. That data sits natively inside the platform and becomes immediately available as segmentation criteria and automation triggers. A segment of customers who bought from a specific product category more than twice but haven't purchased in 90 days is a few clicks to build, not a data engineering project. That density of purchase-aware logic is what e-commerce marketers are usually referring to when they explain why they use Klaviyo. Mailchimp has added e-commerce integrations over the years, and for a basic store sending occasional promotional emails the gap has narrowed. But the structural difference is that Mailchimp was built as an email sender that added store connections, while Klaviyo was built as a revenue intelligence layer that outputs email and SMS. The automation templates that come out of the box in Klaviyo — abandoned cart, browse abandonment, post-purchase sequences, win-back flows — are pre-wired to order and product data in ways that would require significantly more setup to replicate from scratch in a general-purpose email tool. The revenue attribution view also tends to resonate with e-commerce teams. Klaviyo attributes revenue to flows and campaigns and surfaces it as a primary dashboard metric, not a secondary report. For a marketing team being measured on revenue generated per email send, that framing aligns with how they're already thinking about performance. There are honest caveats to name here. Klaviyo is meaningfully more expensive than Mailchimp at comparable contact counts, and the pricing scales with list size in ways that can surprise growing brands. The platform is also relatively deep, and teams without someone who has used it before may spend longer in the setup and learning phase than they expect. For a brand doing under a few thousand dollars a month in revenue, the cost-benefit calculus often doesn't favor Klaviyo's pricing tier. The fit is strongest for brands where email and SMS are actively driving repeat purchase revenue, where segmentation based on purchase behavior matters, and where the marketing team has the bandwidth to build and test multiple automated flows. In those conditions, the native data model justifies the cost differential. For a very small store sending one newsletter a month, a lighter tool at a lower price point is probably the more practical starting place, with Klaviyo as a natural migration as volume and complexity grow.