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Shopify Flow 是您的电子商务自动化和集成平台。
利用 Flow,您可以轻松构建自定义工作流,自动执行营销、订单发货、库存管理、防欺诈等操作。通过自动执行任务、简化业务流程、自定义商店运作方式,或是连接您常用的应用和外部服务,您可以提高工作效率并节省时间。
- 使用数百个用于电商任务的工作流模板来实现自动化。
- 向任何自动化添加自定义逻辑和无限操作。
- 与标签、元字段、B2B、Slack、Google Sheets 等进行集成。
包含自动翻译的文本
- 深受您的同类商店的喜爱
- 位于美国
语言
英语
这款应用未翻译成简体中文
适配以下产品:
- Shopify Flow
- Shopify 后台
- Asana
- Google Sheets
- Klaviyo
- Slack
- Trello
评论 (13,876)
Useful for a layman to achieve some small-scale tasks like updating metafields and tags on customers/orders under specific conditions. Decent app integration, but generally, Workflow is easily outclassed by just developing a custom app.
I would give it 3 or even 4 stars if it weren't for the fact that lots of templates for advanced queries are so outdated that they don't even classify as deprecated fields. Other issues include certain trigger conditions not passing down all class info, and Shopify's syntax docs are often misleading or outright useless for solving lots of problems that are frequent with Workflows.
Great for quick automations. Needs more granular capabilities for devs with more lower-level experience. A native 'Parse JSON' action would be extremely helpful and same with some better version-control capabilities. I see there are checksums in the exported .flow files, but would be nice to have some better version control in the UI
Hi thanks for the review. For parsing json, have you tried "Run code"? That's a key use case...you can make that json accessible to your workflow. Regarding version control - rolling out today you can view past versions, compare, and restore.
Shopify Flow is extremely useful once you understand how the triggers, conditions and customer segments work. I’ve used it to build automated customer journeys for rewards, returning customers and anniversary emails. It gives a lot of control without needing a separate automation app. There is a learning curve, especially around wait limits and segment logic, but overall it’s a very powerful tool for Shopify stores.
支持
应用支持由 Shopify 提供。
数据访问
这个应用需要获得以下数据的访问权限,才能在您的商店中运行。 如需了解原因,请查阅开发人员的隐私政策 。
查看客户数据:
敏感数据、 设备和活动数据
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敏感数据
姓名、 电子邮件地址、 电话号码、 实际地址
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设备和活动数据
地理位置、 IP 地址、 浏览器和操作系统
查看员工和协作者数据:
店主、 员工
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店主
姓名、 电子邮件地址、 电话号码、 实际地址
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员工
姓名、 电子邮件地址、 电话号码
查看和编辑商店数据:
订单、 员工账户、 其他服务
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编辑订单
所有订阅合同, 所有订单历史记录、 订阅合同
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查看员工账户
员工账户
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查看其他服务
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