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
- Quoting and invoicing software: 2026 pricing — 3 tools under $30 vs $99 seats October 17, 2026
- AI cost estimating calculators for sales outreach: 2026 ROI accuracy vs manual lead scoring October 14, 2026
- Email send-time optimization 2026: RL cadence lifts reply rates 18% October 11, 2026
- Business email sequences 2026: Reinforcement Learning (RL) reply-rate lift vs 4-send cap October 8, 2026
- How to verify lead-scoring lift before automating email sequences October 3, 2026
- Sales email sequences: 18% lift with capped vs static vs blast 2026 September 30, 2026
- 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