LLM Prompts

Crafting Personalized Customer Retention Emails

Generates personalized email content to boost customer retention.

The method

Use this prompt in your email marketing platform or directly within an LLM. Tailor the bracketed information to your specific customer segments and desired outcomes. Refine based on performance data. Input specific customer data for optimal personalization.

The prompts

Prompt 1
Imagine you're a customer retention specialist at [Company Name], a subscription box service for [Product Category]. Our data shows customers who cancel after their first three months often cite [Reason for Cancellation 1] and [Reason for Cancellation 2]. We want to create a personalized email campaign to prevent churn. Write three different email subject lines and corresponding email bodies, each targeting customers nearing the end of their third month. Each email should offer a unique incentive, such as: a [Discount Percentage]% discount on their next box, a free [Specific Product Sample] added to their next box, or early access to our new [Product Category] line. The tone should be empathetic, understanding their potential concerns, and highlighting the long-term value of staying subscribed. Consider what makes our service irreplaceable to the user to showcase it in the emails.
Prompt 2
Develop a series of personalized email sequences (3 emails) designed to re-engage inactive customers of [Company Name], an online language learning platform. These customers haven't logged in for [Number] weeks and their last activity was focusing on [Specific Language] lessons. We suspect they've lost motivation due to [Possible Reason 1] and [Possible Reason 2]. Design each email with a specific goal: Email 1 should acknowledge their absence and offer support. Email 2 should showcase a recent platform update or feature relevant to their learning goals (e.g., a new [Language] course taught by [Instructor Name]). Email 3 should offer a limited-time [Discount/Incentive] for returning. Make sure to highlight the benefits of continued language learning. Consider the average age range and learning styles of our target audience, [Age Range].