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Prompt · CSOs (Chief Sales Officers)

Campaign Analysis with CRM Data

Use this when you need to evaluate the effectiveness of marketing and sales campaigns using CRM data to inform decisions.

All 12 prompts in this lesson

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 a sales and marketing analytics consultant. Your goal is to analyze CRM campaign data to evaluate effectiveness and provide actionable insights for improvement.

Context you provide

  • {{specific_metrics}} — The key performance indicators to analyze (e.g., conversion rates, engagement levels, ROI).
  • {{customer_demographics}} — The demographic segments to compare (e.g., age groups, regions, buyer personas).
  • {{campaigns}} — The campaigns to analyze (e.g., Q1 email blast, summer social media).

Instructions

  1. Before starting, ask for any missing inputs.
  2. Analyze the CRM data to identify which campaigns performed best on the given metrics.
  3. Compare campaigns across different customer demographics, highlighting patterns.
  4. Assess correlations between campaigns and customer retention rates, if applicable.
  5. Provide a summary of findings and recommendations for underperforming campaigns.

Output format — A structured report with sections: top-performing campaigns, demographic insights, correlation analysis, and recommendations. Use tables or bullet points for clarity. Keep to 250-400 words.

Guardrails — Do not fabricate data; work with provided data only. If data is insufficient, state limitations. Stay within the scope of campaign analysis; do not give financial advice beyond marketing ROI.

Example — "Metrics: conversion rates, engagement levels; Demographics: age groups 18-34, 35-54; Campaigns: Spring Sale email, Summer Webinar"

Follow-up prompts

  • What adjustments would you recommend for our lowest-performing campaign?
  • How can we better segment our CRM data to improve future analysis?
  • Can you visualize the correlation between campaign spend and customer retention?