AI tool · Brevo · Marketing

Brevo

An all-in-one platform for email, SMS, and marketing automation with a built-in CRM.

Independent overview by new Mantra · updated July 3, 2026

Category
Marketing
Pricing
$9/mo (Starter), $18/mo (Standard) from 5K emails; free tier available
Implementation
Under 1 week
Adoption risk
Low
Integrates with
Shopify, WordPress, WooCommerce, Salesforce, Zapier
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What Brevo does

Brevo is a cloud-based marketing platform that lets you send email and SMS campaigns, set up automated customer journeys, and manage contacts — all from one place. It also handles transactional messages, such as order confirmations and password resets, triggered in real time through an API or SMTP relay.

Beyond sending messages, Brevo includes a CRM with custom sales pipelines, landing page creation, and a loyalty program module. Its AI layer, called Aura, can help with tasks like generating campaign copy, segmenting audiences, suggesting send times, and summarising chat conversations — reducing the manual work involved in running campaigns.

Pricing is based on email volume rather than contact count, starting at a free tier and scaling to paid plans from $9 per month for 5,000 emails. The platform connects to more than 150 tools, including Shopify, WordPress, WooCommerce, Salesforce, and Zapier, and is described as implementable in under a week.

Key capabilities

Multichannel campaign sending

Send marketing messages via email, SMS, WhatsApp, web push, and more from a single platform. A drag-and-drop editor and ready-made templates are available to speed up campaign creation.

Marketing automation workflows

Build automated customer journeys triggered by behaviour or events without writing code. This can include welcome sequences, cart-recovery flows, and re-engagement campaigns.

Transactional messaging

Deliver time-sensitive, one-to-one messages — such as receipts, shipping updates, or password resets — via email, SMS, or WhatsApp through an API or SMTP relay.

Built-in CRM and sales tools

Track contacts and deals through custom pipelines and automate parts of the sales process. This keeps marketing and sales data in the same system rather than split across tools.

AI-assisted campaign tasks

The Aura AI layer can generate copy, suggest optimal send times, auto-segment audiences, and surface data insights through plain-language questions — reducing time spent on routine campaign work.

Customer loyalty programme

A built-in rewards module lets you create and manage a loyalty programme directly within the platform, rather than relying on a separate third-party tool.

Best for

  • Small to mid-sized businesses that want email, SMS, CRM, and automation in one subscription rather than stitching together separate tools
  • Teams sending high email volumes who want volume-based pricing rather than paying per contact
  • E-commerce operators using Shopify or WooCommerce who need cart-recovery flows, transactional messages, and product recommendations
  • Businesses that also need to send operational messages (order confirmations, alerts) alongside marketing campaigns, without a separate transactional email service
  • Teams with limited technical resource who need a no-code setup they can have running within a week

Worth knowing

  • Pricing is tied to email send volume, not contacts — useful if your list is large but send frequency is low, but worth modelling against your actual sending patterns before committing
  • The free tier is available, but channel breadth, automation depth, and AI features increase at higher paid tiers; confirm which plan covers the features you actually need
  • If your primary need is deep CRM functionality or advanced sales pipeline management, a dedicated CRM platform may offer more capability than Brevo's built-in sales tools
  • Businesses with very complex, multi-touch marketing operations or enterprise-grade data requirements should evaluate the enterprise tier separately, as it involves custom onboarding and pricing
  • Integration with Salesforce and other enterprise tools is supported, but the complexity of that setup may push implementation beyond the stated under-one-week timeline depending on your existing data structure

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