The method
Use this prompt by pasting it into your LLM (ChatGPT, Gemini, Claude). Provide customer data (purchase history, demographics, support interactions) for best results. Refine the prompt with specific industries or customer segments.
The prompts
Prompt 1
Analyze the following customer data to identify key risk factors for customer churn. The data includes purchase history, customer demographics, support interactions, and engagement metrics. Based on this analysis, propose three specific and actionable retention strategies tailored to address the identified risk factors. Provide a rationale for each strategy, outlining how it directly mitigates the churn risk. The data is:
[Insert Customer Data Here]
[Insert Customer Data Here]
Prompt 2
You are a seasoned customer retention specialist. A company is experiencing a concerning increase in customer churn and needs your expert advice. Based on your extensive experience, outline the top five leading indicators of potential customer churn across different industries (e.g., retail, SaaS, finance). For each indicator, suggest proactive measures the company can take to mitigate the risk and retain its valuable customers. Consider factors such as customer satisfaction, engagement levels, and competitive landscape. Ensure to cover both short term and long term solutions.