How to increase your reply rate
Cold email industry average reply rate is 1-5%. Here's how to beat it consistently.
1. Write better product descriptions
The AI is only as good as the input you give it.
Before: "We make project management software"
After: "We built an AI sprint planner that reduced planning time by 70% for 200+ remote engineering teams. Unlike Jira, it learns your velocity and auto-suggests realistic sprint scopes."
More detail = more personalized emails = higher reply rates.
2. Use the Knowledge Base
Go to Knowledge Base and upload:
- Product documentation
- Case studies with real numbers
- Competitor comparisons
- Blog posts and thought leadership
The AI searches these documents and pulls relevant details into each email. A lead in fintech? The AI references your fintech case study.
3. Add detailed lead notes
Every piece of context helps. In the lead's Notes field, add:
- "Spoke at PyCon about testing" — AI opens with testing angle
- "Company just raised Series B" — AI mentions scaling challenges
- "Currently uses Notion for PM" — AI compares your tool to Notion
4. Mark successful emails
When an email gets a positive reply, open the draft and click Mark as Success (trophy icon). Select the reason:
- Replied positively
- Booked meeting
- Converted to customer
The AI studies successful patterns and applies them to future drafts. After 5-10 successes, you'll see measurable improvement.
5. Set up follow-up sequences
Most people don't reply to the first email. That's normal. The magic is in follow-ups:
- Email 1: Initial outreach (day 0)
- Follow-up 1: Gentle reminder (day 3) — +15% total reply rate
- Follow-up 2: New angle (day 7) — +10% more
- Follow-up 3: Final touch (day 14) — +5% more
Go to Sequences to set this up. See How to set up sequences.
6. Use A/B testing
Don't guess what works. Test it.
Go to A/B Tests and create a test with two email variants. The system tracks which version gets more replies and declares a winner.
The reply rate checklist
- Product description is specific and detailed
- Knowledge Base has relevant documents
- Leads have company, title, and notes filled in
- 5+ successful emails marked for AI learning
- Follow-up sequence active
- At least one A/B test running