Mailchimp vs Klaviyo vs HubSpot: Which ESP Is Right for Your Business?

Choosing the right email service provider is one of the most consequential decisions for your marketing stack. Mailchimp, Klaviyo, and HubSpot each dominate different segments of the market, but the best choice depends entirely on your business model, list size, and technical requirements.

Mailchimp remains the most user-friendly option for small to mid-size businesses. Its intuitive builder, professional templates, and all-in-one marketing tools make it ideal for teams without dedicated email specialists. Pricing starts at $13 per month for 500 contacts, but costs escalate quickly as your list grows, reaching $299 per month for 50,000 contacts on the Standard plan.

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Klaviyo is the undisputed leader for e-commerce businesses. Built natively for Shopify and WooCommerce, it offers unparalleled segmentation based on purchase behavior, browsing history, and customer lifetime value. Its predictive analytics can forecast which customers are likely to churn or make a repeat purchase. Pricing is based on contact count, starting at $20 per month for 500 contacts.

HubSpot stands out for enterprise and B2B companies that need deep CRM integration. Its email tools are part of a complete marketing, sales, and service platform. The free tier supports up to 2,000 emails per month, while paid plans start at $50 per month. HubSpot excels at lead scoring, deal-based automation, and multi-channel campaign tracking.

Deliverability is a critical differentiator. Klaviyo consistently scores highest on deliverability tests among e-commerce senders, while Mailchimp has made significant improvements since moving to its own sending infrastructure. HubSpot's deliverability is solid for B2B audiences but can struggle with high-volume B2C sends due to shared IP pools on lower tiers.

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Our recommendation: choose Klaviyo for e-commerce, HubSpot for B2B sales-aligned marketing, and Mailchimp for general small business use. Each platform is excellent in its niche—the key is matching the tool to your specific use case rather than chasing features you will never use.