团购营销分析数据

优惠券营销活动为消费者降低购物成本，有助于缓解消费压力激发消费者的购买欲望，从而促进消费的增长。企业在经营过程中也需要通过不同渠道、不同时间段的优惠券营销活动使用数据了解用户的购买习惯和需求，分析用户的购买行为和偏好，评估优惠券的吸引力及营销活动的投入产出比，不断探索新的营销形式和发放渠道以吸引消费者关注并保持竞争优势，这种创新不仅促进了企业自身的发展还推动了整个行业的进步和升级。营销活动更是经济活动的重要组成部分，通过促进消费和销售增长，营销活动可以拉动经济增长，为社会创造更多的就业机会和税收收入。1、数据采集：从棒集团购后台管理系统导出优惠券营销活动的相关数据；
2、数据处理：以用户昵称作为唯一标识，对数据进行清洗、去除无效数据和极限数据等操作；
3、算法加工：优惠券使用率A=优惠券使用数量/优惠券发放数量,优惠券平均使用时长（h）B=SUM（优惠券使用时间-优惠券获取时间）*24h/优惠券使用数量，优惠券减免金额C=优惠券使用数量*优惠券减免金额，优惠券GMV估值D=优惠券使用数量*满减门槛；
4、数据应用：A、B值用于评估不同优惠券对客户的吸引力，优惠券的使用时长较长可能意味着优惠券的优惠力度不足或吸引力不够，高使用率表明营销活动受到消费者的欢迎和认可能够有效地促进销售增长。C、D值用于评估优惠券带来的营收性价，评估营销活动的投入产出比，为未来的营销活动提供数据支持；

Coupon marketing campaigns reduce shopping costs for consumers, help alleviate their consumption burden and stimulate their purchase intentions, thereby promoting consumption growth. During their business operations, enterprises need to utilize data from coupon marketing campaigns across diverse channels and time periods to gain insights into users' purchasing habits and demands, analyze their purchasing behaviors and preferences, evaluate the attractiveness of coupons and the input-output ratio of marketing campaigns, and continuously explore new marketing formats and distribution channels to attract consumer attention and maintain competitive advantages. Such innovations not only foster the development of enterprises themselves but also drive the progress and upgrading of the entire industry. Marketing campaigns are also a critical component of economic activities: by boosting consumption and sales growth, they can drive economic expansion and create more employment opportunities and tax revenues for society.
1. Data Collection: Export relevant data of coupon marketing campaigns from the Bang Group Buying backend management system.
2. Data Processing: Use user nicknames as unique identifiers, and conduct operations including data cleaning, removal of invalid data and outlier data.
3. Algorithm Processing:
- Coupon Usage Rate A = Number of used coupons / Number of issued coupons
- Average Coupon Usage Duration (h) B = [SUM (Coupon Usage Timestamp - Coupon Acquisition Timestamp) * 24h] / Number of used coupons
- Total Coupon Discount Amount C = Number of used coupons * Single Coupon Discount Amount
- Coupon GMV Estimate D = Number of used coupons * Total Purchase Threshold for Discount
4. Data Application:
- Metrics A and B are used to evaluate the attractiveness of different coupons to customers. A longer average usage duration may indicate insufficient discount intensity or inadequate attractiveness, while a high usage rate demonstrates that the marketing campaign is welcomed and recognized by consumers, effectively boosting sales growth.
- Metrics C and D are used to assess the revenue-cost efficiency brought by coupons and the input-output ratio of marketing campaigns, providing data-driven support for future marketing initiatives.