Bigbasket 使用 MoEngage 推送放大将推送通知交付提高 10%
技术
- 应用基础设施与中间件 - 中间件、SDK 和库
- 机器人 - 机器人应用与编程软件
适用行业
- 设备与机械
- 运输
适用功能
- 物流运输
用例
- 最后一英里交付
- 泄漏与洪水监测
关于客户
Bigbasket 是印度最大的在线食品和杂货店，下载量超过 400 万次。该公司在竞争激烈的市场中运营，其很大一部分客户群使用中国 OEM 设备。 Bigbasket 的商业模式在很大程度上依赖于有效的客户参与，而这通过推送通知来促进。然而，由于设备级别的限制，该公司在发送这些通知方面面临挑战，从而影响了其整体参与率和业务绩效。
挑战
印度最大的在线食品和杂货店 Bigbasket 正在努力应对推送通知交付量低的重大挑战。此问题主要是由于某些中国原始设备制造商 (OEM) 设备中的操作系统和设备级别限制造成的。因此，Bigbasket 发送的推送通知不会发送到这些设备，从而影响应用程序的整体参与率。印度智能手机市场 51% 的份额由中国 OEM 设备组成，推送通知交付和参与度的下降对 Bigbasket 的业务运营和客户参与度产生了负面影响。
解决方案
为了应对这一挑战并有效吸引用户，Bigbasket 实施了“MoEngage Push Amplification SDK”。该解决方案旨在作为 Google Cloud Messaging (GCM) 的后备方案，并直接到达中国 OEM 设备。通过这一实施，Bigbasket 能够接触、吸引潜在受众并将其转化为购物者。 MoEngage SDK 能够处理 OEM 中的各种类型的设备以及大量的推送交付。结果，Bigbasket 发现某些 OEM 的交付量增加了 3.5 倍。此外，Bigbasket 能够将旨在提高留存率的引导活动的推送交付量提高 17%。
运营影响
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