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StubHub's Battle Against Bots: Protecting Content, Preventing Account Takeover, and Ensuring Accurate Conversion Rates
技术
- 分析与建模 - 机器学习
- 分析与建模 - 机器人过程自动化 (RPA)
适用行业
- 教育
- 设备与机械
适用功能
- 采购
- 仓库和库存管理
用例
- 对话机器人
- 交通监控
服务
- 网络安全服务
- 数据科学服务
挑战
StubHub 是领先的票务市场，由于恶意机器人的活动而面临一系列挑战。这些机器人从 StubHub 网站上抓取定价和库存数据，将这些专有信息出售给竞争对手，并将其重新发布到其他平台上。这不仅导致 StubHub 的定价被削弱，还导致客户帐户被盗和滥用。由于登录信息被盗和密码重复使用，该问题进一步加剧，这促进了帐户接管，导致买家和卖家欺诈。此外，StubHub 的网站不断受到高级持久机器人 (APB) 的攻击，这些机器人可以模仿人类交互并融入人类流量。这些机器人导致网站流量显着增加，导致分析不准确和人为降低转化率。
关于客户
StubHub 是 eBay 旗下公司，是世界上最大的票务市场之一。 StubHub 成立于 2000 年，总部位于加利福尼亚州旧金山，其使命是帮助粉丝找到乐趣。该平台使球迷能够通过桌面和移动体验（包括 iPhone、iPad、Apple Watch 和 Android 的应用程序）随时买卖数万张门票。由于在其平台上购买和销售门票的便捷性和速度，StubHub 的账户具有巨大的价值，使其成为网络窃贼的主要目标。
解决方案
为了应对这些挑战，StubHub 与网络安全公司 Imperva 合作。 Imperva 实施了一系列措施来保护 StubHub 的专有信息和客户帐户。他们主动阻止持续的网络抓取活动，从而保护定价和库存信息，并保持 StubHub 的竞争定价优势。为了防止帐户被盗用，Imperva 阻止了撞库机器人访问该网站，从而显着减少了欺诈并提高了 StubHub 在客户中的品牌声誉。为了解决 APB 问题，Imperva 使用先进的指纹识别技术、行为分析和机器学习来区分机器人和人类流量。他们还实施了动态访问控制以进一步保护站点。为了纠正偏差的转化跟踪，Imperva 阻止了 99.9% 的不良机器人，这使页面浏览量降低了 50%，并提高了转化率并改进了销售漏斗报告。
运营影响
数量效益
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