Why choose
Drip over Mailchimp?
Pricing
Mailchimp's free plan and low entry price make it easy to start. But for an ecommerce brand running any kind of real automation, the math gets complicated fast. Mailchimp's Essentials plan—the one most small stores start on—doesn't include multi-step automation. At all. To unlock the abandoned cart series, post-purchase flows, or browse abandonment sequences your store depends on, you need the Standard plan. At 2,500 contacts, that's $60/month, compared to Drip's $39/month for the same list size—with every feature included.
Then there's how Mailchimp counts contacts. Unsubscribed, inactive, and non-opted-in contacts all count toward your plan total unless you manually archive them. A store with 5,000 people on its list—including 1,500 who unsubscribed two years ago—is paying for all 5,000. Drip bills only on Active People: contacts who can actually receive your emails. Add Mailchimp's transactional email add-on (required for order confirmations and shipping notifications), and the gap between the headline price and your actual invoice grows wider the more seriously you use it.
Ecommerce depth
Mailchimp has made real investments in ecommerce. The Shopify integration works. Abandoned cart automations run. Revenue shows up in campaign reports. For a store doing its first email marketing, that's enough to get going—and Mailchimp deserves credit for the breadth of its toolset.
But Drip is designed for online retail from the ground up. The Workflow Builder has a "Goals" feature that stops a automation the instant a purchase fires—no more abandoned cart emails landing after the sale goes through. The "Updated LTV" trigger fires a workflow the moment a customer crosses a lifetime value milestone. The segmentation model maps to how ecommerce actually works: Potentials, Casuals, Core, Champions—not arbitrary engagement buckets. And every plan, from $39/month, includes the full depth of that toolset. You're not trying to unlock ecommerce features on a platform designed for everyone. You're using a platform where ecommerce is the only thing it was ever built for.
Automation architecture
Mailchimp's automation Flows are visual and approachable—a genuine strength for marketers who are new to automation. But the architecture has real constraints for ecommerce brands. Multi-step automation is locked to the Standard plan. The Standard plan caps Flows at 200 journey points. There's no equivalent of Drip's Goals feature, meaning automations don't automatically respond when the desired outcome fires. And advanced segmentation—the nested conditional logic that powers precision targeting—isn't available inside automation Flows at all.
Drip's Visual Workflow Builder has no journey point cap, supports multiple triggers per workflow, and lets you test entire automation paths against each other—not just subject lines. The Declare Winner button locks in the better-performing sequence across your whole audience. For a lean ecommerce team running a handful of high-stakes automations, the difference between a platform built to handle ecommerce lifecycle complexity and one that handles it as a secondary use case is the difference between a system you trust and one you work around.
Customer data model
Mailchimp's audience architecture was built for the newsletter era: you have lists (now called "audiences"), and contacts live in those lists. If the same person ends up in two audiences, Mailchimp counts—and charges—them twice. The platform recommends against using multiple audiences for this reason, which means the data model fights the natural impulse to segment by product line, purchase tier, or customer type.
Drip's unified Person record means every subscriber exists once, with a complete view of their order history, browse activity, email engagement, tags, and custom fields in a single profile. That record is what powers every segment and every Workflow. When a customer buys for the first time, their record updates instantly—they exit the prospect segment, enter the post-purchase flow, and their LTV triggers whatever comes next. That's not just cleaner data. It's a fundamentally different way of thinking about your customers.
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