Customer Loyalty & Retention
Plan retailer loyalty rewards, repeat purchases, customer retention, acquisition and cohort lifetime revenue based on aggregate shop data. No account/API key; mathematical estimates, not a CRM integration.
Kết nối với server này
Hướng dẫn thiết lập theo từng nền tảng cho AI client của bạn.
ChatGPT
· Kết nối tùy chỉnhThêm trong phần Cài đặt ChatGPT
Server này không yêu cầu xác thực. Thêm URL vào ChatGPT để bắt đầu dùng công cụ ngay.
- 1Mở chatgpt.com → chọn ảnh hồ sơ → Cài đặt.
- 2Mở mục “Kết nối” (hoặc “Ứng dụng đã kết nối”).
- 3Chọn “Thêm kết nối” → chọn “MCP Server”.
- 4Paste the endpoint URL: https://customer-loyalty-retention-z3ku7ltp0f7l.apitomcp.app/
- 5Chọn Lưu. Các công cụ sẽ xuất hiện trong khung soạn tin nhắn (biểu tượng 🔧).
https://customer-loyalty-retention-z3ku7ltp0f7l.apitomcp.app/Công cụ khả dụng
calculate_loyalty_points_cost
ĐọcReturn [redeemed cashback/discount value, expected net revenue after redeemed rewards], assuming redemption ratio and value per point. Returns ordered result and numeric_result arrays; all outputs must be finite. Values are estimates, with up to 10 significant digits; monetary rounding is left to the caller.
estimate_retail_customer_ltv
ĐọcEstimate customer lifetime contribution value from average basket size, purchases/year, gross margin and customer lifetime (years). Returns ordered result and numeric_result arrays; all outputs must be finite. Values are estimates, with up to 10 significant digits; monetary rounding is left to the caller.
calculate_customer_repeat_rate
ĐọcPercentage of shoppers who bought more than once over a chosen period. Input rule: repeat_customers <= all_customers. Returns ordered result and numeric_result arrays; all outputs must be finite. Values are estimates, with up to 10 significant digits; monetary rounding is left to the caller.
calculate_referral_program_cost
ĐọcEstimate referral award costs and net contribution after referral reward plus purchase costs. Returns ordered result and numeric_result arrays; all outputs must be finite. Values are estimates, with up to 10 significant digits; monetary rounding is left to the caller.
calculate_customer_churn_rate
ĐọcEstimate customer churn % from customers lost divided by customers at start. Input rule: lost_customers <= starting_customers. Returns ordered result and numeric_result arrays; all outputs must be finite. Values are estimates, with up to 10 significant digits; monetary rounding is left to the caller.
calculate_customer_retention_rate
ĐọcRetention% = (end period customers - new customers)/starting customers*100, valid under same customer definition. Input rule: ending_customers >= new_customers and ending_customers-new_customers <= starting_customers. Returns ordered result and numeric_result arrays; all outputs must be finite. Values are estimates, with up to 10 significant digits; monetary rounding is left to the caller.