AI Email Writing
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AI Email Writing

Quick definition

AI tools that automatically generate personalized sales emails based on prospect data and context.

Detailed explanation

Illustration for AI Email Writing

AI email writing tools (like Lavender, Smartwriter, or built-in features in Sales Engagement Platforms) use generative AI to write sales emails. You provide context (prospect name, company, use case, desired tone) and the AI generates a relevant, personalized message. Modern tools can: research on LinkedIn and company websites, identify relevant pain points, choose appropriate tone (formal vs casual), A/B test subject lines, and even spell/grammar check. The advantage is speed - write 50 emails in the time it takes to manually do 5. The challenge is that AI sometimes feels generic or says strange things. Best practice is AI for first draft, human for editing and personalization layer. Research shows AI-assisted email writing has 20-30% higher response rates through better personalization at scale.

Synonyms

AI copywritingAutomated emailEmail generation

Examples

1

SDR sees prospect on LinkedIn, clicks "generate email" in tool. AI writes: "Hi Jan, saw that YourCompany recently got €5M funding - congratulations! Many scale-ups struggle with [pain point] during growth. We help [similar company] with [solution]. 15 min chat?" SDR tweaks lightly and sends → 25% response.

2

For follow-up email, AI automatically pulls context from first email + LinkedIn activity: "Hi Jan, you looked at my LinkedIn profile yesterday - assume you're still interested. Sending a case study of [relevant company] quickly. Would Thursday 11am work?" → Feels personal, took 10 seconds to generate.

When to use this?

Use AI email writing for volume outbound where you need to personalize quickly. It works best for initial outreach and standard follow-ups. For high-value accounts and complex situations, still do it manually - the extra effort pays off.

Match-day approach

Match-day teaches teams how to use AI email tools effectively without feeling like spam. We build prompt libraries that generate the right tone and messaging, train SDRs in the "human touch" layer that makes the difference, and implement quality checks. We also test AI output vs human-written to see what performs better for your ICP. Often hybrid is optimal: AI for structure and research, human for final personalization.

Visual representation of AI Email Writing
AI Email Writing

Learn more

Wil je weten hoe je ai email writing effectief inzet in jouw organisatie? Neem contact op met Match-day.

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