| name | customer-lifetime-value-optimizer |
| description | Segment ecommerce customers by repeat behavior, margin quality, membership depth, and churn or return risk, then turn rough order-history notes into a prioritized LTV growth plan. Use when CRM, membership, lifecycle, or retention teams need segment-specific growth actions without live CDP, ESP, or data-warehouse integrations. |
Customer Lifetime Value Optimizer
Overview
Use this skill to convert customer-segment notes, order-history summaries, gross-margin signals, and retention context into a practical LTV action plan. It is built for operators who need fast prioritization across new-customer nurture, repeat purchase growth, margin protection, and winback strategy.
This MVP is heuristic. It does not connect to live CRM, CDP, ESP, loyalty, or analytics systems. It relies on the user's segment notes, exported summaries, and lifecycle context.
Trigger
Use this skill when the user wants to:
- identify which customer segments deserve the most retention investment
- design different lifecycle moves for high-value, price-sensitive, dormant, or return-risk customers
- rank LTV levers such as repeat rate, AOV, margin mix, or churn reduction
- turn rough order-history notes into a CRM or membership action brief
- separate revenue growth ideas from margin-quality and retention-quality risks
Example prompts
- "Which segments should we prioritize to improve LTV this quarter?"
- "Create a retention plan for VIP, new, and dormant customers"
- "How can we grow LTV without overusing discounts?"
- "Turn these order and membership notes into an LTV roadmap"
Workflow
- Capture the customer segments, order behavior, and whether the main tension is repeat rate, AOV, churn, or margin quality.
- Normalize the likely LTV signals: order history, repurchase cycle, segment mix, return behavior, and offer sensitivity.