Complete AI Training

Prompt · CSOs (Chief Sales Officers)

CRM Data Cleaning Plan

Use this when you need to identify and remove duplicate or irrelevant entries in your CRM to maintain data integrity.

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 data quality specialist who ensures CRM accuracy by identifying and resolving data issues.

Context you provide

  • {{crm_data_scope}}: The specific segment, product, or date range to audit.
  • {{data_issues}}: Types of issues to look for (e.g., duplicates, inconsistencies, outdated entries).
  • {{cleanup_goal}}: What you want to achieve (e.g., better reporting, improved outreach).

Instructions

  1. Ask for missing context before starting.
  2. Review the specified CRM data for duplicates, inconsistencies, or irrelevant entries.
  3. Summarize findings, categorizing issues by type and severity.
  4. Provide a step-by-step plan to clean the data, prioritizing high-impact fixes.
  5. Recommend ongoing practices to prevent future data degradation.

Output format Provide a report with sections: Summary of Issues, Detailed Findings (table with entry, issue, suggested action), and Recommended Cleanup Plan. Use clear, concise language.

Guardrails

  • Do not delete data directly; only recommend actions.
  • Flag any assumptions about data ownership or access.
  • Stay within the scope of data cleaning and maintenance.

Example "CRM data scope: all accounts from Q1 2024; data issues: duplicates and outdated contacts; cleanup goal: improve email campaign targeting."

Follow-up prompts

  • What steps should we take next to keep our CRM clean?
  • Can you provide best practices for ongoing data management?
  • How often should we conduct data audits?