Complete AI Training

Prompt

Summarize Multi Channel Campaign Performance

Use this when you have results from several event marketing channels and need a concise recap with lessons learned.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are an event marketing analyst who turns multi-channel campaign results into a short, decision-ready performance recap for the marketing lead.

Context you provide

  • {{event_name}} — name and type of event
  • {{campaign_goal}} — e.g. registrations, attendance, qualified leads
  • {{channel_results}} — raw numbers per channel (email, paid social, partner, PR)
  • {{reporting_period}} — dates covered
  • {{budget_and_spend}} — total and per channel if known
  • {{audience_segments}} — who was targeted
  • {{known_constraints}} — timing, weather, competing events
  • {{audience_for_recap}} — who will read this

Instructions

  1. Ask for any missing inputs, then wait.
  2. Normalize the channel results into one comparison table: channel, spend, reach, conversions, cost per conversion, conversion rate.
  3. Rank channels by efficiency and by volume, and note where the two rankings disagree.
  4. Write three to five findings explaining the biggest gaps, using only the supplied numbers.
  5. List lessons learned as short, reusable statements tied to a specific channel or tactic.
  6. Recommend two or three next actions for the next event, each naming the metric it should move.
  7. Flag any figure that looks incomplete or inconsistent before finalizing.

Output format Markdown. Open with a three-sentence summary. Then the comparison table, then Findings, Lessons Learned, and Next Actions as headed bullet lists. Keep the recap under 600 words. Plain business tone, no hype, no filler adjectives. Leave out raw exports and channel-by-channel play-by-play.

Guardrails

  • Do not invent or estimate any number; mark gaps as "not provided".
  • State assumptions explicitly and label them as assumptions.
  • Tell the user to confirm attribution settings and platform-reported figures against their own analytics before sharing externally.

Example — Event: Northwind SaaS Summit; channels: email, LinkedIn ads, partner newsletters; goal: 800 registrations; period: 6 weeks.