1 link tagged with all of: automation + ai-outbound + sales-engagement + signal-processing
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This article walks through a DIY outbound sales system using GLM-5.2 to spot fresh company signals, score and rank accounts, draft personalized openers, and self-evaluate before sending. It covers setup, dry-runs, free public signal sources, scoring logic, trigger-grounded messaging, an eval gate, and a learn loop on a schedule.
- 142 signal-qualified leads produced 19 meetings in two weeks (12% reply rate), driven mainly by funding news and site visits, while social likes were skipped as low-signal noise.
- The system gates itself before going live: it must prove hot leads outperform cold against a golden set, and drafts without a fresh trigger get killed rather than sent.
- Runs on GLM-5.2 via API for a few dollars a month, pulling free public signals (job boards, funding news, competitor wins) plus first-party site visits, fired daily by a single cron job.
- Output is a ranked daily list with a one-line "why-now" per account, letting a human send/edit/skip each in under two minutes.