Claire Dawson
Editor at mm-ais.com
Claire Dawson is a PhD candidate in Computer Science at Stanford University, where she studies how AI models can optimize sales outreach and lead scoring. Her research focuses on reinforcement learning for email sequencing and the ethical implications of automated persuasion. Deep experience. Intellectual curiosity.
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Recent articles by Claire Dawson
- Gmail Sending Limit Explained: 5,000+ Classifies Senders, Not Mailbox Quota September 27, 2026
- Sales email follow up sequence: 800-lead cutoff for policy vs calendar September 24, 2026
- Lead Conversion Sample Size: 1,067 Leads at 3% to Lock Sales Model 2026 September 21, 2026
- September 18, 2026
- Email follow up sequence 2026: Reinforcement Learning (RL) vs 5-touch send or stop September 15, 2026
- Email follow up sequence: 22% Lift 5-Touch vs 3-Touch 2026 September 12, 2026
- How Often to Email Leads: Twice Weekly Reinforcement Learning (RL) 23% Lift vs Pause September 9, 2026
- Get More Email Replies: 15% Lift vs Fixed Cap Sequencing September 6, 2026