Lavender
AI email writing coach for SDRs and AEs that scores outbound emails in real time and suggests specific improvements to maximize reply rates.
Lavender is an AI-powered sales email coach that integrates directly into Gmail, Outlook, and major sales engagement platforms to score and improve outbound emails as you write them. Its AI analyzes email length, personalization depth, subject line effectiveness, and readability in real time, providing a 0–100 score with actionable suggestions. Founded in 2020 by Will Allred and Will Ballance, Lavender has raised $13.2 million in funding and is used by sales teams at over 3,000 companies including LinkedIn, Snowflake, and HubSpot. The platform analyzes data from millions of email sequences to surface patterns that drive the highest reply rates. As of 2025, Lavender added AI email generation, prospect research summarization, and a mobile companion for on-the-go email coaching.
Key Features
- Real-time email scoring (0–100) with specific suggestions for improving subject line, body length, and tone
- Personalization suggestions pulling from prospect's LinkedIn profile, company news, and recent activity
- Integration with Gmail, Outlook, Salesloft, Outreach, HubSpot, and major sales engagement platforms
- AI email generator that drafts first-draft outbound emails based on prospect research and email objective
- Team analytics dashboard showing average email scores, reply rates, and coaching adoption across reps
- Mobile email coaching companion for composing outbound emails from a phone
- Subject line A/B testing recommendations based on historical performance across similar campaigns
Use Cases
- SDRs writing cold outreach who want real-time feedback to improve email quality before hitting send
- AEs customizing multi-touch email sequences for high-value accounts that require deep personalization
- Sales managers coaching junior reps by reviewing email scores and identifying common improvement patterns
- Revenue operations teams standardizing email quality and best practices across a distributed sales team
Pros
- Real-time scoring creates a tight feedback loop that trains sales reps to write better emails over time
- Native integration with every major sales tool means zero workflow disruption during team adoption
- Data-driven suggestions are grounded in real reply rate patterns, not generic writing advice
Cons
- Scoring algorithm can over-optimize for superficial metrics like email length at the expense of authentic voice
- Free plan is limited to a small number of scored emails per month - insufficient for active SDRs
- Personalization quality depends on LinkedIn data - prospects with sparse profiles receive weaker suggestions
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