\r \r

Financial Industry Intelligent Marketing Assistant / 金融智能营销助手\r

\r

English: AI-powered intelligent marketing assistant — covers customer segmentation, campaign design, content generation, and ROI analysis.\r \r 中文: 金融智能营销助手——覆盖客户分群、营销活动设计、内容生成、A/B测试、ROI分析。\r \r ---\r \r

Industry Pain Points / 行业痛点\r

\r | Pain Point / 痛点 | Impact / 影响 | Solution / 本Skill解决方案 |\r |------------------|-------------|------------------------|\r | 客户画像粗 | 营销不精准，转化率低 | 多维度客户分层 |\r | 内容生产慢 | 营销物料制作周期长 | AI批量生成 |\r | 渠道选择难 | 不知道哪个渠道最有效 | ROI分析+最优渠道推荐 |\r | 活动效果差 | 投入大但转化少 | 数据驱动优化 |\r \r ---\r \r

Trigger Keywords / 触发关键词\r

\r English Triggers: intelligent marketing, customer segmentation, campaign design, content marketing, marketing automation, bank marketing, securities marketing\r \r 中文触发词（优先）： 智能营销 / 客户分群 / 精准营销 / 营销活动 / 内容营销 / 营销自动化 / 银行营销 / 券商营销 / 活动策划 / 用户增长 / 私域运营 / 转化率 / 营销ROI / 触达率 / 打开率 / 点击率\r \r ---\r \r

Core Capabilities / 核心能力\r

\r

1. Customer Segmentation / 客户分层\r

\r

class CustomerSegmentation:\r
    """客户分层引擎"""\r
    \r
    def segment_customers(self, customer_data: list) -> dict:\r
        """\r
        客户分层模型\r
        基于RFM+生命周期+风险偏好\r
        """\r
        segments = {\r
            "高净值保守型": [],\r
            "高净值进取型": [],\r
            "中产稳健型": [],\r
            "年轻成长型": [],\r
            "老年保守型": [],\r
            "潜力待激活型": []\r
        }\r
        \r
        for customer in customer_data:\r
            segment = self._classify_segment(customer)\r
            segments[segment].append(customer)\r
        \r
        return segments\r
    \r
    def _classify_segment(self, customer: dict) -> str:\r
        """分层逻辑"""\r
        assets = customer.get("total_assets", 0)\r
        risk = customer.get("risk_preference", "稳健型")\r
        age = customer.get("age", 30)\r
        activity = customer.get("transaction_frequency", 0)\r
        \r
        if assets > 1000000:\r
            if risk in ["保守型", "稳健型"]:\r
                return "高净值保守型"\r
            else:\r
                return "高净值进取型"\r
        elif assets > 100000:\r
            return "中产稳健型"\r
        elif age \x3C 35:\r
            return "年轻成长型"\r
        elif age > 55:\r
            return "老年保守型"\r
        else:\r
            return "潜力待激活型"\r
```\r
\r
### 2. Campaign Design / 营销活动设计\r
\r
```python\r
CAMPAIGN_TEMPLATES = {\r
    "产品拉新": {\r
        "目标": "获取新客户",\r
        "适用产品": ["存款", "理财", "基金"],\r
        "活动设计": """\r
        【活动名称】：{产品名}新手礼\r
        \r
        【活动时间】：{开始}-{结束}\r
        \r
        【参与条件】：\r
        - 首次购买{产品类型}产品\r
        - 新客户注册并完成实名\r
        \r
        【活动奖励】：\r
        - 首投满{X}元 → 奖励{金额}\r
        - 首投满{X}元 → 额外奖励{金额}\r
        \r
        【获客渠道】：\r
        1. 朋友圈广告投放\r
        2. 银行APP弹窗\r
        3. 员工朋友圈转发\r
        """,\r
        "ROI预估": "目标ROI≥3"\r
    },\r
    \r
    "存量激活": {\r
        "目标": "激活沉睡客户",\r
        "适用场景": "6个月无交易客户",\r
        "活动设计": """\r
        【活动名称】：唤醒礼包\r
        \r
        【触达策略】：\r
        - 首触：短信关怀\r
        - 二触：电话回访\r
        - 三触：专属优惠\r
        \r
        【激励方案】：\r
        - 沉睡客户专属加息券\r
        - 专属理财经理服务\r
        - 限时体验金{金额}\r
        """,\r
        "KPI": "激活率≥15%"\r
    }\r
}\r
```\r
\r
### 3. Content Generation / 内容生成\r
\r
```python\r
def generate_marketing_content(content_type: str, params: dict) -> dict:\r
    """营销内容生成"""\r
    \r
    if content_type == "朋友圈文案":\r
        templates = [\r
            "【{产品名}限时福利】\
\
{利益点}\
\
⏰仅限{时间}\
💰年化收益最高{收益率}\
\
戳我了解详情👇",\r
            \r
            "好消息！{产品名}正在热售中~\
\
✨{亮点1}\
✨{亮点2}\
✨{亮点3}\
\
私信我可享专属优惠哦🎁"\r
        ]\r
        \r
    elif content_type == "短信文案":\r
        templates = [\r
            "尊敬的{客户姓名}，{产品名}新品首发！年化收益率{收益率}%，{开始日期}至{结束日期}限时发售。回复Y办理，回复T退订。",\r
            \r
            "{客户姓名}，您的好友向您推荐{产品名}！首投满{金额}元即返{奖励金额}元，最高返{上限}元！戳{链接}参与。"\r
        ]\r
        \r
    elif content_type == "海报文案":\r
        return {\r
            "主标题": "{产品名} 限时抢购",\r
            "副标题": "{核心卖点}",\r
            "数据展示": [\r
                f"年化收益 {收益率}%",\r
                f"起投金额 {金额}元",\r
                f"剩余份额 {份额}份"\r
            ],\r
            "CTA按钮": "立即抢购",\r
            "紧迫感": "名额有限，先到先得"\r
        }\r
    \r
    return {\r
        "type": content_type,\r
        "templates": templates,\r
        "filled_examples": [\r
            fill_template(t, params) for t in templates\r
        ]\r
    }\r
```\r
\r
### 4. A/B Testing Framework / A/B测试框架\r
\r
```python\r
class ABTestAnalyzer:\r
    """A/B测试分析"""\r
    \r
    def analyze_ab_test(self, variant_a: dict, \r
                       variant_b: dict) -> dict:\r
        """\r
        A/B测试结果分析\r
        """\r
        # 计算转化率\r
        cvr_a = variant_a["conversions"] / max(variant_a["visitors"], 1)\r
        cvr_b = variant_b["conversions"] / max(variant_b["visitors"], 1)\r
        \r
        # 提升幅度\r
        lift = (cvr_b - cvr_a) / max(cvr_a, 0.001) * 100\r
        \r
        # 统计显著性检验\r
        significant = self._chi_square_test(\r
            variant_a["visitors"] - variant_a["conversions"],\r
            variant_a["conversions"],\r
            variant_b["visitors"] - variant_b["conversions"],\r
            variant_b["conversions"]\r
        )\r
        \r
        return {\r
            "variant_a": {\r
                "visitors": variant_a["visitors"],\r
                "conversions": variant_a["conversions"],\r
                "cvr": round(cvr_a * 100, 2)\r
            },\r
            "variant_b": {\r
                "visitors": variant_b["visitors"],\r
                "conversions": variant_b["conversions"],\r
                "cvr": round(cvr_b * 100, 2)\r
            },\r
            "lift": round(lift, 2),\r
            "statistically_significant": significant,\r
            "recommendation": "选择B" if lift > 5 and significant else "继续测试"\r
        }\r
```\r
\r
---\r
\r
## Disclaimer\r
\r
This skill provides marketing planning tools for educational purposes. All marketing activities must comply with applicable advertising and financial regulations.\r