The Effects of Free Sample Promotions on Incremental Brand Sales

本文探讨了一种免费样品促销模型及其长期销售效果,并通过两个实地实验验证了该模型的有效性。研究发现,与优惠券等其他促销手段不同,免费样品能在促销结束后长达12个月内对销量产生可测量的影响。此外,实验数据表明,即使在同一产品类别中,不同品牌的免费样品促销效果也存在显著差异。

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The authors of this study present a model of free sample effects and evidence from two field experiments on free samples.

The model incorporates three potential effects of free samples on sales:

(1) An acceleration effect
, whereby consumers begin repeat purchasing of the sampled brand earlier than they otherwise would.

(2) A cannibalization effect, which reduces the number of paid trial purchases of the brand.

(3) An expansion effect, which induces purchasing by consumers who would not consider buying the brand without a free sample.

The empirical findings suggest that, unlike other consumer promotions such as coupons, free samples can produce measurable long-term effects on sales that can be observed as much as 12 months after the promotion.
The data also show that the effectiveness of free sample promotions can vary widely, even between brands in the same product category.
Application of the model to the data from the two experiments reveals that the magnitude of acceleration, cannibalization, and expansion effects varies substantially across the two free sample promotions. These and other findings suggest that the model can be a useful tool for obtaining insights into the nature of free sample promotions.

A study by Kapil Bawa and Robert Shoemaker
 
<think>我们正在讨论的是淘宝购物车的功能。作为编程专家,我们可以从技术实现的角度来探讨购物车的一些关键特性,以及如何用代码模拟部分功能。 淘宝购物车的主要功能包括: 1. 添加商品到购物车 2. 从购物车中移除商品 3. 修改购物车中商品的数量 4. 选择购物车中的商品(用于结算) 5. 全选/取消全选 6. 计算选中商品的总价(包括优惠计算) 7. 商品库存和状态的实时更新(如下架、库存不足等) 8. 购物车商品过期处理(如商品加入购物车超过一定时间后失效) 9. 优惠券和促销活动的应用 由于淘宝购物车是一个复杂的系统,我们不可能完全实现,但我们可以模拟一个简化版的购物车,包含一些基本功能。 下面我们将使用Python来实现一个简化版的购物车系统。我们将定义两个类:`Product`(商品)和`ShoppingCart`(购物车)。 功能规划: 1. 商品有id、名称、单价、库存等属性。 2. 购物车中的每个项(CartItem)包括商品、数量、是否选中。 3. 购物车可以添加商品、移除商品、修改商品数量、选择商品、全选/取消全选、计算总价。 注意:实际淘宝购物车还有更多复杂功能,如优惠计算、跨店满减等,这里我们只实现基本功能。 代码实现:</think>### 淘宝购物车核心功能解析与技术实现思路 淘宝购物车是一个复杂的分布式系统,结合了商品管理、促销计算、库存同步等功能。以下是其核心功能及技术实现思路: --- ### 1. **多店铺商品合并** **功能**:用户可将不同店铺的商品加入同一购物车 **技术实现**: - 使用店铺ID作为分片键存储购物车数据 - 前端聚合展示时按店铺分组渲染 ```javascript // 购物车数据结构示例 const cart = { userId: "u123456", items: [ { shopId: "s1001", shopName: "官方旗舰店", products: [ { skuId: "p789", name: "手机", price: 2999, count: 1, selected: true }, { skuId: "p790", name: "耳机", price: 399, count: 2, selected: true } ] }, { shopId: "s2002", shopName: "配件专卖", products: [ { skuId: "p881", name: "充电器", price: 129, count: 1, selected: true } ] } ] }; ``` --- ### 2. **实时价格与库存监控** **功能**:商品价格/库存变化时实时提示 **技术实现**: - 使用WebSocket建立长连接 - 商品服务推送变更消息 - 前端轮询检查(降级方案) ```java // Java Spring Boot 库存变更推送示例 @RestController public class StockController { @Autowired private SimpMessagingTemplate messagingTemplate; @PostMapping("/stock/update") public void updateStock(@RequestBody StockUpdateEvent event) { // 更新数据库 stockService.updateStock(event.skuId, event.newStock); // 推送购物车用户 messagingTemplate.convertAndSendToUser( event.userId, "/queue/stock-updates", new StockAlert(event.skuId, event.newStock) ); } } ``` --- ### 3. **智能促销计算** **功能**:自动匹配满减/优惠券/跨店优惠 **技术实现**: ```python # 促销规则匹配伪代码 def calculate_promotions(cart_items): total = 0 promotions = [] # 步骤1: 按店铺分组计算 for shop in cart_items: shop_total = sum(item.price * item.count for item in shop.items) # 匹配店铺级优惠 shop_promo = match_shop_promotion(shop.id, shop_total) if shop_promo: promotions.append(shop_promo) shop_total -= shop_promo.discount # 匹配商品级优惠 for item in shop.items: item_promo = match_item_promotion(item.skuId) if item_promo: promotions.append(item_promo) item.final_price = apply_discount(item.price, item_promo) # 步骤2: 计算跨店优惠 cross_shop_promo = match_cross_shop_promo(cart_items) if cross_shop_promo: total = apply_cross_discount(total, cross_shop_promo) return total, promotions ``` --- ### 4. **失效商品处理** **功能**:自动识别下架/失效商品 **技术实现**: - 定时任务扫描购物车DB - 使用Redis记录商品状态变更日志 ```sql -- 每日清理失效商品的SQL示例 DELETE FROM cart_items WHERE sku_id IN ( SELECT sku_id FROM products WHERE status = 'offline' OR stock = 0 ); ``` --- ### 5. **批量操作与结算** **功能**:全选/店铺全选/批量删除 **技术实现**: ```javascript // 前端批量操作逻辑 function toggleShopSelection(shopId) { cart.value.forEach(shop => { if (shop.id === shopId) { shop.products.forEach(product => { product.selected = !shop.allSelected; }); shop.allSelected = !shop.allSelected; } }); } // 结算时只提交选中的商品 function checkout() { const selectedItems = cart.value.flatMap(shop => shop.products.filter(p => p.selected) ); // 提交到订单服务... } ``` --- ### 6. **容灾与高并发设计** **技术要点**: 1. **读写分离**:购物车读操作占90%+,采用主从架构 2. **缓存策略**:Redis缓存热数据,结构示例: ```redis HSET cart:u123456 s1001 '{items: [{"skuId":"p789", "count":1},...]}' ``` 3. **限流降级**:促销期间启用购物车只读模式 4. **最终一致性**:通过MQ同步库存变更 --- ###
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