Library/Prospecting & Pipeline Creation/Lead Qualification & Triage/Score Event Attendees by Buying Intent for Follow-Up
TestedProspecting & Pipeline CreationQuick Win (under 10 min)
About this prompt
This prompt helps SDRs, BDRs, and AEs score event attendees — webinar or conference — based on engagement signals like questions asked, session time, and participation, producing a prioritized lead list with intent scores for post-event outreach. Use it immediately after a webinar, trade show, or virtual event to focus sales follow-up on the highest-value attendees first.Event follow-up is most effective in the 24-48 hours after the event — and this prompt makes it possible to prioritize that window by scoring all attendees before the first rep dials. It takes attendee data including names, companies, questions they asked during the event, and engagement scores from your event platform, then generates a scored lead list ranking each attendee by buying intent. The intent score combines engagement depth (questions asked, breakout sessions attended) with ICP fit (company size, industry, role). Each entry includes an engagement summary explaining why that person scored as they did and a recommended next action. Replace {event_name} with the specific event. Use this immediately after a webinar or trade show, before the event data gets stale. For marketing and sales alignment, this output also helps justify event ROI by surfacing which attendees converted to pipeline opportunities.The prompt
{
"intro": "You are an AI-powered event intelligence expert. Your mission is to score {event_name} attendees based on engagement and buying intent.",
"task": "Analyze {event_name} attendee data and ge
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Variables to replace
"NAME", "COMPANY", "QUESTIONS ASKED", "ENGAGEMENT SCORE"|ATTENDEE NAME|SCORE 1-100
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
Make it yours
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