Do these 3 things before closing this tab:
1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsiTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
AI can help you draft and adapt email copy, personalize messages, analyze customer data, suggest segments or send times, and review campaign results. Use it to support a defined marketing strategy—not to make unchecked decisions. Start with one use case, review both the content and automation logic, protect customer data, and test results against a control where possible.
What AI can do in email marketing
Email tools may use two broad kinds of AI. Generative AI creates new material, such as a draft email or alternate subject lines. Predictive AI analyzes historical information to produce insights or recommendations, such as which audience or timing may fit a campaign. Some platforms combine both types in one workflow. Salesforce’s guide to AI in email marketing describes this distinction and the range of tasks AI can assist with.
- Drafting and adapting: Generate a first draft, alternative wording, or versions tailored to an audience. HubSpot documents AI-assisted marketing-email creation and personalization for automated nurture emails.
- Segmentation and personalization: Use available customer information to identify audience groups or tailor content. Recommendations depend on the data available and how the platform is configured.
- Timing and testing: Some systems offer predictive suggestions or help create variants for testing. Treat these as hypotheses to evaluate, not guaranteed improvements.
- Analysis: AI may help summarize campaign performance or identify areas to investigate. Check its interpretation against the underlying results and the campaign goal.
These are capabilities, not proof of better opens, clicks, conversions, or revenue. Product documentation explains what a feature is designed to do; the effect on your campaign has to be measured.
Recommended Free Tools
How to add AI to an automated email workflow
Begin with a specific campaign problem rather than enabling every available feature. The workflow below applies whether AI is drafting copy, helping personalize a nurture email, or assisting with analysis.
#1 Best Overall
- Choose one use case and goal. Decide what the campaign should achieve and select one task AI can support—for example, drafting a welcome email or proposing an audience-specific version. Define a relevant measure before making a change.
- Write a campaign brief. Specify the audience, offer and terms, intended action, brand constraints, and success measure. Use only data your business has permission to use and that the platform is configured to process. Salesforce recommends building from email data and customer profiles, then testing changes with a control group.
- Generate or configure the campaign. Use the platform’s documented drafting or personalization features, or configure predictive features if they are available in your account. Access may depend on settings and permissions. For example, HubSpot documents its AI email-creation feature, while its nurture-agent documentation covers personalization of automated emails.
- Review the content and the workflow. Verify factual claims, statistics, dates, discounts, links, language, eligibility, and brand voice. Inspect the automation’s trigger, recipient rules, and sequence so the right people receive the intended message. HubSpot specifically advises checking generated content for accuracy, including facts, statistics, and non-English content.
- Test one meaningful change. Where possible, keep a control group and change one variable at a time. Salesforce advises: “When you do your A/B email testing, don’t test multiple things at once.” Compare the outcome tied to your goal, then decide whether to retain, revise, or remove the change.
- Check data terms before use. Review the specific feature’s data settings, retention and training terms, access permissions, and processing disclosures before entering customer details. Do not assume that one provider’s privacy commitments apply to another.
How to measure whether AI is helping
Match the measurement to the campaign’s intended action. A campaign designed to drive registrations should be judged by registration-related results, not only by an email engagement metric. Establish a baseline or control where practical, keep other campaign conditions as consistent as possible, and make a decision from observed results rather than the AI’s confidence or a vendor’s capability description.
Litmus’s 2026 guide to AI in email marketing, reporting its State of Email 2025 findings, says 70% of email marketers expected up to half of their email operations to be AI-driven by the end of 2026. That is a survey of respondents’ expectations, not a measured outcome. The same guide reports a 340% increase in marketers using generative AI in 2025, but its summary does not specify the denominator; it should not be read as the share of all marketers. Neither figure establishes that AI improves a particular campaign’s performance.
Rank #2
What to check before sharing customer data with AI
Privacy claims are specific to the provider and product named. Google said on April 7, 2026, that Gemini in Gmail does not use personal Gmail messages to train foundational models. Google’s explanation of Gemini in Gmail privacy is not a general assurance about other AI tools. Google Workspace Help makes a similar statement for Workspace content used with the listed Gemini features; consult its Workspace data-protection explanation for the applicable scope.
For any provider, check the terms and controls for the exact feature you plan to use. Confirm what information it processes, who can access it, how long it is retained, and whether it is used for model training. Keep permissions aligned with the task and avoid sending sensitive or unnecessary customer details into a tool.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to choose an AI email feature
There is no universally best platform established by these sources. Compare tools against your workflow and safeguards rather than choosing by the number of AI features advertised.
Quick Recap
Rank #4
- Does it assist with drafting, prediction, personalization, testing, analysis, or a combination?
- Can it work with the first-party customer data and email or CRM workflow you already use?
- What account settings and permissions govern generation and personalization?
- Are provider-specific privacy, retention, and model-training terms clear for the feature?
- Can you run a controlled test and connect results to the campaign’s objective?
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
