AI email coaching platform for sales reps that scores emails in real-time, suggests improvements for reply rate optimization, and provides personalization insights from prospect data.
An AI coach that helps salespeople write better emails — it scores your emails, suggests improvements, and personalizes messages so more prospects actually reply.
Lavender is an AI-powered email coaching tool built specifically for sales teams. It works as a Chrome extension that sits alongside Gmail, Outlook, and sales engagement platforms like Outreach, Salesloft, and HubSpot, providing real-time feedback as reps write emails. Every email receives a Lavender Score from 0-100 predicting reply likelihood, based on analysis of millions of successful sales emails. The AI evaluates email length, reading level, tone, personalization depth, subject line effectiveness, and mobile rendering, then provides specific, actionable suggestions to improve each dimension. Lavender's personalization assistant pulls prospect information from LinkedIn profiles, recent company news, and professional data to suggest relevant conversation starters that feel genuinely researched rather than templated. The Start My Email feature uses AI to draft opening lines based on prospect context, helping reps overcome blank-page syndrome and maintain high-volume output quality. For sales leaders, Lavender's team analytics reveal which reps write effective emails and which need coaching, with dashboards showing email quality trends, improvement trajectories, and performance benchmarking. The platform has been adopted by teams at Twilio, Sendoso, Lucidworks, and other B2B organizations, with users reporting measurable improvements in reply rates. Lavender positions itself as a coaching tool that builds lasting email skills rather than just auto-generating messages — though in 2026, many sales platforms now bundle AI writing features, putting pressure on standalone email coaching tools to demonstrate incremental value.
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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.
Use Case:
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.
Use Case:
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.
Use Case:
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.
Use Case:
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.
Use Case:
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.
Use Case:
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.
$0
$29/mo
$49/mo
$69/user/mo
Custom (~$89+/user/mo)
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