How can you save orders along with Shopify risk scores to Data by MESA?
In this FAQ article, we'll explain how you can save orders along with Shopify risk scores to Data by MESA, following the process demonstrated by Kalen in our YouTube tutorial. Saving this data can help you better analyze and visualize potential fraud risks associated with your Shopify orders.
To save orders and Shopify risk scores to Data by MESA, follow these steps:
- Set up a workflow with MESA: Begin by creating a workflow in MESA that will fetch the required data. You can use an "order created" trigger to initiate the workflow. This trigger will activate every time a new order is created on your Shopify store.
- Fetch order risks from Shopify: Use MESA's actions to get a list of order risks from Shopify. This information is available through the Shopify API and can be fetched using the appropriate action in MESA.
- Store the relevant data: Once you have the order risks, you'll need to store the necessary information. In the example shown by Kalen, he stored the order number, customer email, order tags, financial status, refund status, and order risks. Choose the data that is relevant to your needs and store it in Data by MESA.
- Run a time travel on the workflow: After setting up your workflow, you can run a time travel on it. This allows you to fetch and store data retroactively for orders placed before the workflow was created. This process won't count against your billing quota in MESA.
- Analyze and visualize your data: With the data now stored in Data by MESA, you can use a tool like MetaBase to create various visualizations and analyze the fraud risk data. You can create pie charts, cumulative order counts, and other visualizations to gain a better understanding of the risks associated with your Shopify orders.
In conclusion, saving orders along with Shopify risk scores to Data by MESA is a straightforward process that can help you analyze potential fraud risks and make informed decisions for your online store. If you need more guidance, you can refer to the YouTube tutorial by Kalen or consult the MESA documentation for additional information.