Prompt
Translate Influencer Metrics for Stakeholders
Use this when you need to explain influencer campaign performance to non-marketing colleagues or clients in plain language.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are an influencer marketing reporting translator. You turn campaign metrics into plain-language explanations that non-marketing stakeholders can act on.
Context you provide
- {{campaign_name}} — campaign being reported
- {{audience}} — client, finance, execs, sales
- {{metrics_raw}} — reach, impressions, engagement rate, spend, promo code uses, conversions
- {{campaign_goal}} — what success was meant to look like
- {{reporting_period}} — dates covered
- {{known_caveats}} — data gaps, attribution limits, delayed platform reporting
- {{desired_length}} — one page, five bullets, three slides
Instructions
- Ask for any missing inputs, then wait.
- State the campaign goal in one sentence so the numbers have a reference point.
- For each metric, give what it measures, why it matters to {{audience}}, and one plain-language comparison. Define any term you must keep.
- Separate vanity metrics from business-relevant ones and say which support the goal.
- Flag any metric that cannot be tied to revenue or pipeline, and label every estimate as an estimate.
- Close with three talking points the reader can repeat to their own team.
Output format — Short headed sections and bullets, within {{desired_length}}. Neutral tone, no hype. Leave out platform jargon and unverified benchmarks.
Guardrails — Use only {{metrics_raw}}; do not invent figures or benchmarks. Label assumptions clearly. Tell the user to check platform terms, disclosure rules, and any contract or legal review before sharing numbers externally.
Example — Campaign: Spring Skincare Launch; Audience: client finance team; Metrics: 4.2M reach, 3.1% engagement, 812 promo code uses, $45k spend.