What are AI email marketing tools?
AI email marketing tools use machine learning to decide when to send emails, what to say in them, and who should get them. This means the software learns from how people interact with your campaigns and adjusts automatically instead of you manually tweaking settings every week.
Traditional email platforms make you set up rules yourself. You pick the send time, write the subject line, and segment your list by hand. AI tools watch what works and what doesn't, then make those decisions for you based on patterns in your data.
The difference shows up fast when you're running campaigns to thousands of contacts. Manual personalization stops working past 100 people. AI makes it possible to send relevant messages at scale without hiring more people.
Core capabilities include:
Predictive send-time optimization: Figures out when each person usually opens emails and sends at those times
Content personalization: Changes subject lines and email copy based on job title, company size, and what someone clicked before
Audience segmentation: Groups contacts by what they do, not just who they are
Performance analytics: Shows you which emails work and why
A/B testing automation: Runs tests on subject lines and picks winners without you watching
Comparison table
Platform | Primary Use Case | AI Capabilities | Best For |
|---|---|---|---|
ZoomInfo | B2B sales and marketing outreach | Intent signals, predictive scoring, automated workflows | Enterprise and mid-market B2B teams |
HubSpot | Inbound marketing automation | Smart send times, content optimization | Growing B2B and B2C companies |
Mailchimp | SMB email campaigns | Predictive segmentation, content suggestions | Small businesses and startups |
ActiveCampaign | Marketing and sales automation | Predictive sending, win probability | SMBs with sales focus |
Klaviyo | E-commerce email and SMS | Predictive analytics, product recommendations | DTC and e-commerce brands |
Brevo | Transactional and marketing email | Send-time optimization, segmentation | Budget-conscious teams |
Jasper | AI content generation | Generative AI for copy | Content-heavy marketing teams |
Seventh Sense | Send-time optimization | Delivery timing algorithms | HubSpot and Marketo users |
Jacquard | Subject line and copy optimization | Natural language generation | Enterprise brand marketers |
Rasa | Newsletter personalization | Content curation AI | Publishers and media companies |
Best AI email marketing tools
These platforms were picked based on how deep their AI goes, how well they connect to CRMs and sales tools, and whether they actually work for B2B teams where data quality matters.
1. ZoomInfo
ZoomInfo is a B2B data platform that includes email capabilities through GTM Workspace and Copilot. You get access to over 500 million business contacts and 100 million companies, plus intent signals that show which accounts are researching solutions right now. This means you're emailing prospects who are already looking, not cold contacts who've never heard of your category.
Copilot sits in your workflow and tells you which accounts to prioritize based on buying signals. It suggests which contacts to reach and when, using engagement data to predict who's likely to respond. The platform syncs with Salesforce, HubSpot, Outreach, and Salesloft so your contact data stays current everywhere. You can segment by the software prospects use, the topics they're researching, and where they are in the buying process.
ZoomInfo serves over 35,000 customers and holds recognition from Gartner and Forrester. The platform maintains GDPR, CCPA, and SOC 2 compliance, with verification processes that keep email deliverability high.
Key Features:
Intent data that flags accounts researching your category or competitors
CRM sync with Salesforce, HubSpot, and Microsoft Dynamics that fills missing contact fields automatically
Copilot AI that surfaces next actions and automates prospecting workflows
Automated sequences that trigger when contacts hit specific intent thresholds
Contact enrichment that adds direct dials and mobile numbers to incomplete records
Buying signal alerts when target accounts visit your website or download content
Technographic filters that segment by the tools prospects currently use
Learn more about GTM Workspace
2. HubSpot
HubSpot's Marketing Hub combines email with CRM and automation. The platform includes smart send time features that look at when each person usually opens emails and schedules delivery for those windows. Content optimization tools suggest better subject lines and flag copy that might trigger spam filters.
Segmentation works through list building tools that filter by lifecycle stage, lead score, and actions like page views or form fills. Automation workflows connect email sends to CRM updates so sales sees which prospects engaged. HubSpot integrates with its own CRM and connects to Salesforce, though sync depth changes by subscription tier.
HubSpot targets growing companies with a free tier that includes basic email, then scales to enterprise plans with advanced AI and custom reporting.
Key Features:
Smart send time based on when individual contacts typically engage
Predictive lead scoring that ranks contacts by how likely they are to convert
Content optimization for subject lines and email body copy
A/B testing that runs experiments and applies winning versions automatically
Drag-and-drop email builder with mobile templates
CRM integration that logs email engagement as contact activity
Marketing automation triggered by opens, clicks, or website behavior
Learn more about HubSpot Marketing Hub
3. Mailchimp
Mailchimp provides email marketing with AI features including Content Optimizer, Creative Assistant, and predictive segmentation. Content Optimizer looks at past campaigns to recommend subject lines and send times that match your audience. Creative Assistant uses generative AI to suggest email layouts and image placements based on your brand.
Audience management uses tags and segments that group contacts by purchase history, engagement level, and demographics. Automation includes welcome series, abandoned cart emails, and re-engagement campaigns. Mailchimp integrates with e-commerce platforms like Shopify and WooCommerce, syncing customer data for product recommendation emails.
Mailchimp targets small businesses and startups with pricing based on contact count. Recent updates added generative AI for creating email copy and subject line variations.
Key Features:
Predictive segmentation that identifies contacts most likely to buy or churn
Content Optimizer for subject line and send time recommendations
Creative Assistant with AI design suggestions
Product recommendation blocks for e-commerce emails
Behavioral automation based on purchase history and site activity
E-commerce integrations for Shopify, BigCommerce, and WooCommerce
Mobile app for monitoring campaigns and basic edits
4. ActiveCampaign
ActiveCampaign combines marketing automation with CRM and AI features. The platform includes predictive sending that analyzes when each contact engages most, then schedules delivery for those times. Win probability scoring uses machine learning to rank deals by close likelihood based on engagement patterns and historical data, available through the Sales Engagement Add-on on Plus, Pro, and Enterprise tiers.
Automation workflows connect email campaigns to CRM updates, task assignments, and lead score changes. Segmentation uses conditional logic that filters contacts by behavior, deal stage, and custom fields. ActiveCampaign integrates with HubSpot and Shopify, syncing contact data and purchase history. Salesforce integration is available as a premium CRM integration on the Enterprise tier.
ActiveCampaign focuses on sales automation for SMBs, with features that bridge marketing campaigns and sales pipeline management.
Key Features:
Predictive sending based on individual engagement patterns
Win probability scoring for deals using machine learning (available through Sales Engagement Add-on on Plus, Pro, and Enterprise tiers)
Machine learning recommendations for email content and timing
Marketing automation with conditional logic and branching workflows
CRM with pipeline management and deal tracking
Lead scoring that adjusts based on email engagement and website behavior
SMS marketing alongside email campaigns
Learn more about ActiveCampaign
5. Klaviyo
Klaviyo specializes in AI for e-commerce, including predictive analytics that forecast customer lifetime value and churn risk. The platform uses purchase history and browsing behavior to generate product recommendations for each recipient. Predictive analytics identify which customers will make repeat purchases and which segments need re-engagement.
The platform integrates with Shopify, BigCommerce, Magento, and other e-commerce platforms, syncing product catalogs and order data in real time. Email automation includes abandoned cart recovery, post-purchase follow-ups, and browse abandonment campaigns. Klaviyo also handles SMS, coordinating text and email sends based on customer preferences.
Klaviyo targets DTC brands and retail companies that need tight integration between email campaigns and e-commerce transactions.
Key Features:
Predictive analytics for customer lifetime value and churn probability
Product recommendation engine based on browsing and purchase history
E-commerce integrations with Shopify, BigCommerce, and WooCommerce
Abandoned cart and browse abandonment automation
SMS marketing coordinated with email campaigns
Segmentation by purchase frequency, average order value, and product affinity
Real-time revenue attribution for email campaigns
6. Brevo
Brevo (formerly Sendinblue) provides email marketing with AI for send-time optimization and audience segmentation. The platform analyzes recipient engagement to determine optimal delivery windows for each contact. Segmentation tools use machine learning to group contacts by predicted engagement likelihood and conversion probability.
The platform handles both marketing emails and transactional messages like order confirmations and password resets. CRM features include contact management, deal tracking, and task assignments. Brevo also offers SMS marketing and chat alongside email campaigns.
Brevo positions itself with competitive pricing for budget-conscious teams, offering higher email send limits at lower price points than many competitors.
Key Features:
Send-time optimization based on individual recipient behavior
Machine learning segmentation that predicts engagement likelihood
Transactional email for order confirmations and notifications
SMS marketing with campaign coordination across channels
CRM with contact management and deal pipeline tracking
Marketing automation workflows with conditional logic
Chat and inbox features for customer communication
7. Jasper
Jasper focuses on generative AI for creating email copy, subject lines, and marketing content. The platform uses large language models to draft email body text based on prompts that specify tone, length, and key points. Brand voice customization trains the AI on your company's writing style so generated content matches your existing messaging.
Templates provide starting points for common email types like product launches, event invitations, and nurture sequences. API integration for workflow automation is available exclusively on the Business plan, though most users generate copy in Jasper, then paste it into their email service provider.
Jasper targets content-heavy marketing teams that need to produce high volumes of email copy without expanding headcount.
Key Features:
Generative AI for email body copy and subject lines
Brand voice customization that trains AI on your writing style
Templates for common email types and campaign formats
Tone adjustment controls for formal, casual, or persuasive messaging
Multi-language content generation for international campaigns
API integration for workflow automation (available on Business plan)
Collaboration features for team review and editing
8. Seventh Sense
Seventh Sense specializes in AI send-time optimization as an add-on for HubSpot and Marketo users. The platform analyzes individual recipient behavior to determine when each contact is most likely to open and engage with emails. The algorithm learns from engagement patterns over time, adjusting send windows as behavior changes.
Integration requires an active HubSpot or Marketo subscription, as Seventh Sense operates as a layer on top of these platforms rather than a standalone tool. The system processes historical engagement data to build predictive models for each contact, then schedules email delivery through the connected platform's sending infrastructure.
Seventh Sense also provides intelligent audience segmentation that automatically categorizes contacts based on email activity levels, allowing you to set engagement probability thresholds and manage suppression lists based on activity classes.
Key Features:
AI send-time optimization for individual recipients
Integration with HubSpot and Marketo email platforms
Behavioral learning that adjusts timing based on engagement patterns
Intelligent audience segmentation based on email activity levels
Engagement analytics showing optimal send windows by contact
Throttling controls to manage email volume and deliverability
A/B testing for send time experiments
Reporting on engagement lift from optimized timing
Learn more about Seventh Sense
9. Jacquard
Jacquard (formerly Phrasee) uses AI to generate and optimize subject lines, email copy, and push notifications. The platform's natural language generation creates multiple variations of messaging, then tests them to identify which language drives the highest engagement. Brand language optimization ensures AI-generated content aligns with your company's voice and style.
The platform learns from campaign results over time, refining its understanding of which words, phrases, and structures resonate with your audience. Jacquard integrates with major email service providers including Salesforce Marketing Cloud, Oracle Responsys, and Adobe Campaign, running experiments within your existing sending infrastructure.
Jacquard targets enterprise brand marketers who need to maintain consistent voice across high-volume email programs while optimizing for performance.
Key Features:
Natural language generation for subject lines and email copy
Brand language optimization that maintains voice consistency
Multivariate testing across messaging variations
Integration with enterprise email platforms like Salesforce Marketing Cloud
Performance analytics showing language patterns that drive engagement
Push notification optimization alongside email
Compliance controls for regulated industries
10. Rasa
Rasa provides AI newsletter personalization and content curation. The platform learns individual subscriber preferences by tracking which articles and content types each person clicks, then curates future newsletters to match those interests. Content curation pulls from RSS feeds, blog posts, and other sources you specify, assembling unique newsletters for each recipient.
The AI analyzes engagement patterns to determine which topics, content formats, and article lengths resonate with each subscriber. Over time, newsletters become increasingly personalized as the system gathers more data on individual preferences. Rasa handles the entire newsletter assembly and sending process, requiring minimal manual work once content sources are configured.
Rasa targets publishers, associations, and media companies that send regular newsletters and want to increase engagement through personalization.
Key Features:
AI content curation from RSS feeds and blog sources
Individual newsletter personalization based on click behavior
Engagement tracking that learns subscriber preferences over time
Automated newsletter assembly and sending
Content source management for multiple feeds and publications
Subscriber preference learning without explicit surveys
Analytics on content performance by topic and format
How to choose an AI email marketing tool
The right platform depends on your use case, existing tech stack, and team size. B2B teams need different capabilities than e-commerce brands. Enterprise organizations require features that startups can skip. Evaluate platforms based on how they integrate with your CRM, the depth of their AI, and whether pricing scales with your contact growth.
Data quality and integration
Data accuracy determines whether AI personalization actually works. AI models only work as well as the data feeding them. If your contact records have outdated job titles, wrong company names, or missing email addresses, even sophisticated AI will send irrelevant messages to the wrong people.
Look for platforms that verify contact data automatically and sync with your CRM in real time. Bi-directional sync means updates flow both ways, so changes in your CRM appear in your email tool and vice versa. This keeps your data clean without manual exports and imports.
Key considerations:
CRM compatibility with bi-directional sync
Data enrichment that fills missing contact fields automatically
Contact verification and email deliverability monitoring
Sync frequency and whether updates happen in real time
AI capabilities and transparency
Distinguish between basic automation and true machine learning. Rules-based automation follows if-then logic you configure manually. Machine learning analyzes patterns in your data to make predictions without explicit programming. Both have value, but they solve different problems.
Ask whether the platform can explain why it makes specific recommendations. Black box AI that can't show its work makes it hard to trust the system or improve results. Look for platforms that let you customize AI models using your data rather than generic algorithms trained on everyone's campaigns.
Key considerations:
Predictive capabilities versus rules-based automation
Ability to understand why AI makes specific recommendations
Customization options that let you train AI models on your data
Track record of AI accuracy with proof from existing customers
Scalability and pricing
Total cost of ownership includes more than the monthly subscription fee. Factor in implementation costs, training time, and whether you'll need specialists to manage the platform. Pricing models vary widely, with some platforms charging by contact count, others by email volume, and enterprise tools requiring custom quotes.
Watch for hidden costs in integrations, add-ons, or premium features. Some platforms charge extra for API access, advanced segmentation, or removing their branding from emails. Make sure you understand what's included in the base price and what costs extra.
Key considerations:
Pricing model structure based on contacts, emails sent, or feature access
Enterprise versus SMB tier differences in AI capabilities and support
Hidden costs for integrations, add-ons, or premium features
Contract flexibility and whether you can adjust seat count or downgrade tiers
Compliance and deliverability
Regulatory requirements differ by region and industry. GDPR applies to any company emailing EU residents. CCPA covers California consumers. CAN-SPAM sets baseline requirements for commercial email in the United States. Your platform needs built-in compliance features rather than requiring manual policy enforcement.
Deliverability monitoring tracks your sender reputation and inbox placement rates. If your emails land in spam folders, your campaigns fail no matter how good the AI is. Look for platforms that monitor deliverability and provide tools to maintain a clean sender reputation.
Key considerations:
GDPR, CCPA, and CAN-SPAM compliance features including consent management
Deliverability monitoring that tracks sender reputation and inbox placement
Security certifications like SOC 2 and ISO that meet enterprise requirements
Data residency options if you need to store contact data in specific regions
Frequently asked questions
What is AI email marketing?
AI email marketing uses artificial intelligence to automate campaign elements including send times, subject lines, content personalization, and audience segmentation. The technology analyzes recipient behavior to predict what messaging will drive engagement for each contact.
How does AI improve email personalization at scale?
AI analyzes recipient behavior, preferences, and engagement history to tailor content, offers, and messaging to individual contacts. This goes beyond inserting a first name by adjusting the entire email based on what each person has clicked, purchased, or researched in the past.
Can AI write complete marketing emails without human input?
Generative AI tools can draft subject lines and body copy based on prompts you provide. Human review remains necessary to ensure brand voice consistency, factual accuracy, and strategic alignment with campaign goals.
Which AI email tool works best for B2B outbound campaigns?
B2B teams benefit most from platforms that combine AI capabilities with deep contact data, intent signals, and CRM integration. ZoomInfo delivers this combination for enterprise and mid-market teams that need buyer intelligence alongside email automation.
How much do AI email marketing platforms typically cost?
Pricing varies widely based on contact volume, feature tiers, and whether the tool is standalone or part of a broader platform. SMB-focused tools start around $10-50 per month, while enterprise solutions typically require custom quotes based on database size and user count.
Do AI email tools integrate with major CRM platforms?
Most platforms offer native integrations with major CRMs like Salesforce and HubSpot. Integration depth varies from basic contact sync to bi-directional data flow that updates both systems in real time and logs email engagement as CRM activity.
Why ZoomInfo for AI-powered email marketing
B2B teams get better results when AI email capabilities connect to deep buyer intelligence. Accurate contact data, intent signals, and technographic insights let you target prospects who are actually in-market rather than blasting cold contacts. AI without quality data produces generic messages that ignore where prospects are in their buying journey.
The difference shows up in conversion rates. Emails sent to contacts showing active intent signals convert at multiples of cold outreach because you're reaching people already researching solutions. Native integration with sales engagement workflows means your SDRs and AEs work from the same data, eliminating the disconnect between marketing campaigns and sales follow-up.
ZoomInfo combines the data foundation, AI capabilities, and workflow integration that mid-market and enterprise B2B teams need to run email campaigns that actually drive pipeline. The platform delivers buyer intelligence alongside email automation rather than treating them as separate tools.
Key decision factors:
Depth and accuracy of B2B contact data with verification processes
Intent signals and buying behavior insights that identify in-market accounts
Native integration with sales engagement workflows and major CRMs
Enterprise-grade compliance and security certifications including GDPR, CCPA, and SOC 2
Talk to someone to learn more about how ZoomInfo can help you.
