为Shopify Inbox建立实时买家信号数据管道
By Ashay Pathak and Selina Li
作者：Ashay Pathak和Selina Li
Tens of thousands of merchants use Shopify Inbox as a single business chat app for all online customer interactions and staff communications. Over four million conversations were exchanged on Shopify Inbox in 2020, and 70 percent of Shopify Inbox conversations are with customers making a purchasing decision. This prompted the Shopify Data team to ask ourselves, “How can we help merchants identify and convert those conversations to sales?”
数以万计的商家使用Shopify Inbox作为单一的商业聊天应用程序，用于所有在线客户互动和员工沟通。2020年，Shopify Inbox上交流的对话超过400万次，而70%的Shopify Inbox对话都是客户在做购买决定。这促使Shopify数据团队问自己："我们如何能帮助商家识别并将这些对话转化为销售？"
We built a real-time buyer signal data pipeline to surface relevant customer context—including active cart activities and order completion information—to merchants while they’re chatting with their customers. With these real-time, high-intent customer signals, merchants know where the buyers are in their shopping journey—from browsing products on online stores to placing orders. Merchants can ask more direct questions, better answer customer inquiries, and prioritize conversations that are more likely to convert.
我们建立了一个实时买家信号数据管道，在商家与客户聊天时，将相关的客户背景--包括活跃的购物车活动和订单完成信息--浮现给他们。有了这些实时、高意向的客户信号，商家就知道买家在购物过程中的位置--从浏览网上商店的产品到下订单。商家可以提出更直接的问题，更好地回答客户的询问，并优先考虑更可能转化的对话。
Animation of cart event
推车事件的动画
We’ll share how we designed our pipeline, along with how we uncovered insights on merchant behaviors through A/B testing. We’ll also discuss how we address the common problems of streaming solutions, tackle complex use cases by leveraging various Apache Beam functions and measure success using an experiment.
我们将分享我们如何设计我们的管道，以及我们如何通过A/B测试发现对商家行为的洞察力。我们还将讨论我们如何解决流媒体解决方案的常见问题，通过利用各种Apache Beam功能处理复杂的用例，并使用实验来衡量成功。
Overview
概述
Buyers can message merchants from many different channels like Online Store Chat, Facebook Messenger, and Apple Business Chat. Shopify Inbox allows merchants to manage customer conversations from different messaging channels within a single business chat ap...