Master Lavender with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Lavender powerful for sales & marketing agents workflows.
Every email receives an instant score predicting reply likelihood based on analysis of millions of successful sales emails. Scores update live as you edit, showing exactly which changes improve or hurt your chances.
An SDR drafts a cold email that scores 42. Lavender flags the email is too long (280 words), has a weak subject line, and lacks personalization. After shortening to 90 words, adding a prospect-specific opener, and rewriting the subject, the score jumps to 88.
Pulls prospect data from LinkedIn, recent company news, job changes, and professional profiles to suggest relevant conversation starters and personalization hooks specific to each recipient.
Before writing to a VP of Sales, Lavender surfaces that the prospect just spoke at SaaStr, their company announced a Series C, and they previously worked at a competitor — giving the rep three natural, non-generic conversation hooks.
AI provides specific, actionable feedback on email length, reading level, tone, sentence structure, filler words, and mobile formatting. Suggestions appear inline as the rep types, building better habits over time.
Lavender flags that an email uses passive voice, starts with 'I' three times, and has a 6th-paragraph CTA that most readers won't reach. The rep restructures to lead with value and moves the CTA to paragraph two.
Analyzes and scores subject lines against patterns from high-reply-rate emails, suggesting length, format, and tone adjustments that improve open rates.
A rep's subject line 'Quick question about your sales process' scores 45. Lavender suggests 'saw your SaaStr talk — question on [topic]' which scores 82 because it's personalized and curiosity-driven.
Sales leaders see aggregate and individual email quality scores, improvement trends over time, coaching opportunities, and team benchmarks. Identifies which reps are improving and which need intervention.
A sales manager sees that new hires average a 52 email score in week one but reach 78 by week four using Lavender. One rep is stuck at 55 after six weeks, triggering targeted coaching.
Generates opening lines and email drafts based on prospect research context, helping reps maintain quality across high-volume outreach without starting from scratch each time.
An SDR sending 60 emails per day uses Start My Email to generate personalized openers for each prospect, cutting drafting time in half while maintaining personalization quality that would otherwise degrade under volume pressure.
Yes. Lavender integrates with Outreach, Salesloft, HubSpot, Apollo, Gmail, and Outlook. It works as a Chrome extension that appears alongside your composing window in any of these platforms, scoring and coaching emails in real-time without requiring you to switch tools.
Lavender analyzes your email against patterns from millions of successful sales emails, scoring on length (shorter generally wins), readability (Grade 5-7 reading level is optimal), personalization depth, tone, subject line quality, mobile formatting, and structural elements like CTA placement. Each factor contributes to a composite 0-100 score predicting reply probability.
No — and that's intentional. Lavender's Start My Email generates openers and suggestions, but the core product is coaching: teaching reps why certain patterns work better. The goal is to build permanent email skills rather than create dependence on AI-generated messages.
It depends on your needs. Platforms like Outreach and Salesloft now include AI writing features, but they focus on generation, not coaching. Lavender's value is in the scoring, real-time feedback, and skill development that builds better writers over time. If your team already writes well and just needs volume, the SEP's built-in AI may suffice. If email quality is inconsistent, Lavender adds clear value.
Lavender reports that users see 2-3x improvements in reply rates, though results vary by industry and current baseline. New SDRs and reps with low initial email quality see the biggest gains. Teams with already-strong email culture see incremental improvements in consistency and personalization depth.
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Tutorial updated March 2026