Review buying signals before drafting outreach
Explain why a recent event might matter without pretending it proves intent.
What you’ll produce
A signal queue with event date, evidence, relevance hypothesis, and a draft conversation opener.
Inputs & connections
- A reviewed account list
- Approved public hiring, funding, or product-change sources
Begin with approved exports or pasted source material. Live access requires separately configured integrations and permissions; this guide does not install them.
Your starting prompt
Replace the bracketed fields. This is our suggested prompt, not a quote from the source.
Review [accounts] for [defined buying-signal theory]. Return only signals supported by dated public sources. For each, explain the event, why it might relate to [offer], alternative explanations, and confidence. Draft one restrained conversation opener referencing the actual event. Mark it unsent. Do not infer private plans, fabricate familiarity, or send outreach.
How to run it
- 01
Define one hypothesis connecting an event to the problem you solve.
- 02
Collect recent first-party evidence for a small reviewed account set.
- 03
Compare signal interpretations and record false positives.
- 04
Let the account owner approve any draft and its recipient before use.
Review before you act
Check that the event is real, recent, relevant, and not being presented as proof of purchase intent.
Limitations & success checks
- Hiring or fundraising does not automatically indicate demand.
- Contact data and outreach permissions require separate verification.
Measure: Signal precision in manual review and relevant conversations from approved outreach.
Sources & attribution
The sources below support the reported example or a tool capability. They do not validate our prompt or prove the outcome in your environment.
September 21, 2026. Describes account research, buying signals, contact checks, and outreach prepared for human review. Outcome metrics are not shown.
Creator / publisher: Michel Lieben
Editorial review: 2026-10-11. How we label evidence.