You will begin your Shopify revenue reporting analysis by specifying the time range you want to look at. Re:amaze will then generate a report showing you the number of orders (and their total value) in the report period. Of those orders placed by customers, we will also tell you if those orders were associated with conversations.
Even if a conversation was started 2 months prior to the order, as long as that conversation has a customer reply recently AND has a staff response, Re:amaze will intelligently extrapolate and attribute the order to this particular conversation.
Re:amaze will also automatically filter out repeat conversations so revenue is not double counted. For example, if a customer wrote into your support team yesterday and today on two separate conversations and subsequently places an order, then the order will be attributed to the conversation created by the customer today, assuming both convos have staff responses.
Here’s how to understand the report:
- Box 1: Orders associated with recent customer conversations
- Box 2: Customer conversations that drove to orders
- Box 3: The total sales amount that these orders amounted to in the report period
- A trend graph below for when these orders (Box 1) happened
The nature of this report is not to pinpoint whether a specific order was placed because of a specific message from a specific staff member. The idea is to gather a rough profile of your customer service landscape and visualizing the impact that profile has on your bottom line revenue. The goal is to allow you and your team to start a conversation about why support is a revenue driver for great businesses who value customer conversations.
For a full funnel-style analysis, we still recommend relying on Google Analytics and your Shopify revenue reporting dashboard.