lapsed customer winback

The problem

Acquiring new customers is up to five times more expensive than keeping existing ones. Many sellers lose significant revenue because they lack the time to identify who stopped buying and what specific offer would bring them back without eroding margins.

What it does

• Analyzes order history to define a business-specific 'lapse threshold' based on purchase cycles.
• Segments customers into Champions, Dormant Regulars, One-and-Done, and At-Risk categories based on lifetime value.
• Calculates estimated recoverable revenue for each segment to prioritize high-value outreach.
• Generates a calibrated three-touch outreach sequence (Reminder, Offer, Last Call) for every segment.
• Applies strict offer rules to ensure incentives are private, time-limited, and value-matched to the customer.

Frameworks & tools

Designed for ecommerce platforms like Shopify, Etsy, and Stripe. Processes data from CSV exports, spreadsheets, or manual lists.

Why this beats prompting it yourself

Generic prompts often produce 'one-size-fits-all' discounts that train customers to wait for sales. This skill calculates the actual purchase cadence of your buyers and protects your margins by reserving high-value incentives for your best lapsed customers while using non-discount levers for others.

Use cases

• Recovering high-value 'Champion' customers who haven't ordered in six months.
• Automating a quarterly win-back sweep after a slow sales period.
• Pre-emptively checking in with 'At-Risk' regulars before they go fully cold.
• Re-engaging one-time buyers with low-cost nudges and new product updates.

Known limitations

Does not send emails or messages directly; provides drafts for user approval. Requires order history (dates and amounts) for accurate segmentation.