Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →aifinlab/customer-segmentation
基于客户资产规模、贡献度、活跃度、产品持有等多维度信息，识别客户价值层级，输出分层结论与经营建议，支撑差异化客户经营策略。
Passed 21 of 22 test cases with the skill, and 8 of 22 without it.
and 12 more in the full report
13 fixed8 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
分行主管询问能否由本技能直接定死各项维度的具体打分权重（如AUM占40%、贡献度占30%）以及分层阈值，而无需经过业务部门审批。请给出明确说明。
| Checked | Without skill | With skill |
|---|---|---|
| States that scoring weights and threshold rules must be approved by the business department. | Passed | Passed |
| Explains that default reference values are provided rather than hardcoded policies. | Missed | Passed |
The instructions your model reads when the skill loads.
银行零售客户数量庞大，资源有限，需要对客户进行价值分层以实现差异化经营。传统分层仅依赖AUM单一维度，忽略了客户贡献度、成长潜力、活跃度和忠诚度等重要因素，导致营销资源错配、高潜力客户流失。需要多维度综合评估客户价值层级，支撑精细化客户经营。
| 输入项 | 说明 | 是否必填 |
|---|---|---|
| 客户列表 | 待分层的客户编号集合 | 必填 |
| AUM及资产结构 | 客户总资产、存款、理财、基金等构成 | 必填 |
| 贡献度指标 | 中间业务收入、利息贡献、综合贡献 | 选填 |
| 产品持有信息 | 持有产品种类和数量 | 选填 |
| 交易活跃度 | 交易频次、登录频次、渠道使用情况 | 选填 |
| 客户关系时长 | 开户时间、持续在册年数 | 选填 |
| 成长趋势 | 近3/6/12个月AUM变化趋势 | 选填 |
| 风险标签 | 逾期、投诉、异常交易等标记 | 选填 |
test cases passed, vs 8 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.