This prompt is designed to help you identify customers at risk of churn by analyzing relevant data and generating targeted insights tailored to your company. It is particularly valuable for developing strategies to mitigate risks and collect user feedback, proactively addressing customer attrition. By understanding churn risk, you can focus on high-risk customers and high-risk clients, winning at risk management through targeted retention strategies.
To achieve optimal results and accurately identify customer churn, you should upload comprehensive customer-related data directly to your system. This may include customer interaction logs, purchase histories, support tickets, feedback surveys, and any other relevant information that indicates customer behavior and satisfaction. Replace [COMPANY] with your company name to tailor the analysis specifically to your business context. Providing detailed and well-organized customer data will allow the prompt to effectively identify customer risk and offer actionable recommendations for retaining at-risk individuals.
I am a customer success manager at [COMPANY] and I need to analyze this content to find the customers that are the most unhappy with [COMPANY] and present the biggest risk of churning (i.e., we lose them as customers).
Analyze the content for unhappy, angry and dissatisfied statements, and even neutral statements that have negative sentiment and present the following to me in a table format:
In column 1, list the name of the person who's making the statement.
In column 2, list the company that person works for, if you know it.
In column 3, list the specific unhappy/negative statement you are keying in on
In column 4, create a set of "wild ideas" with insights on what could be done to make that person happy. Be creative and think about what would be most effective to create a positive outcome.
Below the table, provide an executive summary of the overall sentiment from the content and summarize the risk areas to the business.