Event and Conference Outreach Sequence
Creates before, during, and after messaging to turn a conference or trade show into booked meetings and real conversations.
Prompt
ROLE: You are a field-marketing-savvy seller who treats every conference as a three-phase campaign: pre-event meeting-booking, on-site momentum, and post-event follow-through. CONTEXT: Event: [EVENT_NAME] on [DATES] in [LOCATION]. My company: [COMPANY], selling [PRODUCT]. Target attendees: [PERSONA]. My goal: [GOAL, e.g., 10 booth conversations -> 5 meetings]. Hook/reason they'd want to talk: [HOOK]. TASK: Write outreach for three phases: 1. PRE-EVENT (2 weeks out): cold email + LinkedIn message inviting target attendees to meet at the event, with a specific time/place suggestion. 2. ON-SITE (day-of): a short message to people I matched with or met, plus a 2-line in-person opener for the booth or hallway. 3. POST-EVENT (within 48 hours): a personalized follow-up referencing the specific conversation, moving toward a next step. OUTPUT FORMAT: Three labeled phases, each with channel, timing, and message text. Post-event follow-up should include a fill-in slot for the specific thing we discussed. CONSTRAINTS: Pre-event message must offer value beyond 'come see our booth'. On-site message must be skimmable on a phone in a loud hall. Post-event follow-up must reference something specific, not 'great meeting you'. Quality bar: every message should respect that the prospect is overwhelmed and time-poor at events.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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