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Shopify Orders by New vs Returning Customers

The Orders by New vs returning customers metric compares the number of orders made by new customers to those made by returning customers. It helps track customer loyalty, acquisition efforts, and sales growth potential.

With Databox you can track all your metrics from various data sources in one place.

Orders by New vs Returning Customers 2.190,879 Start tracking this metric
  • About
  • Tech details
  • Notes
What is "Orders by New vs Returning Customers"?
The Orders by New vs Returning Customers metric helps merchants understand how many orders are coming from new customers versus returning customers over a specific period. This metric is useful for analyzing customer loyalty and retention rates. A high number of returning customers indicates that the store is doing a good job of retaining customers, while a high number of new customers indicates that the store is doing well in acquiring new customers. Merchants can use this data to evaluate the effectiveness of their marketing and customer engagement strategies.
Example: For a clothing retailer, tracking the percentage of orders from new vs. returning customers is crucial to understanding the effectiveness of their marketing campaigns and loyalty programs. A high percentage of returning customers could indicate customer satisfaction and brand loyalty, while a high percentage of new customers could show successful acquisition tactics.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

How to track Orders by New vs Returning Customers in Databox?

Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.

To track Orders by New vs Returning Customers using Databox, follow these steps:

  1. 1
    Connect Shopify that contains the metric you want to track
  2. 2
    Select the metric you want to track from the list of available metrics
  3. 3
    Drag and drop the selected metric onto your dashboard
  4. 4
    Watch your dashboard populate in seconds
  5. 5
    Put Orders by New vs Returning Customers on the Performance screen
  6. 6
    Get Orders by New vs Returning Customers performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Orders by New vs Returning Customers
Goals

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Metric Digest

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Data Calculations

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Shopify integration with Databox Track Orders by New vs Returning Customers from Shopify in Databox GET STARTED

Shopify Orders by New vs Returning Customers included in Dashboard Templates 1

  • Live view

    Shopify Sales Performance

    Shopify dashboard template which will give you insights and a complete control over your Shopify store.

    Shopify

Shopify Orders by New vs Returning Customers included in Report Templates 1

  • Details

    Shopify Report Template

    Use this Shopify report to share important ecommerce performance metrics around orders, sales, products, customers, and more.

    Shopify

Basics

  • Description
    The Orders by New vs returning customers metric compares the number of orders made by new customers to those made by returning customers. It helps track customer loyalty, acquisition efforts, and sales growth potential.
  • Category
    Ecommerce
  • Subcategory
    Orders
  • Date Added
    2015-04-28
  • Cumulative Support
    Yes
  • Units
    No
  • Granularities
    hourly, daily, weekly, monthly, yearly, quarterly, allTime
  • Favorable Trend
    increasing
  • Historical Data
    Yes
  • Changing historical data
    Yes
  • Forecast Support
    Yes
  • Benchmark Support
    No
  • Media Support
    No
  • Dimension
    Yes
  • Metric Type
    event Learn more
  • API Endpoint
    https://{shopname}.myshopify.com/admin/api/{api_version}/orders.json

  • Manually changing data for past periods in Shopify will cause data discrepancy in Databox for past Date Ranges

    Shopify metrics in Databox are Event type metrics and Databox obtains the relevant data based on calculations of data for the specific event entity, such as an Order. Each entity received via the API will be stored in our database as a separate entry and each entry will have its own timestamp associated with it – the moment the event occurred. As a consequence, in cases when the Order that occurred in the past is edited, changed, or deleted in the Shopify User Interface after it has already been completed and synced to Databox, Databox cannot report on such historical data changes, which will result in discrepancies when data from Shopify is compared to values in Databox for the past Date Range.

  • Lower ‘New’ and higher ‘Returning’ values for ‘by New vs Returning Customers’ dimensional metrics

    Shopify can distinguish between returning and new customers differently in their User Interface than Databox can from their API, therefore the data discrepancy might be present for this metric in the following case.

    Databox obtains data on the current state of a customer, so if the customer had never placed an order before and then placed two separate orders one after the other in the selected Date Range, Databox sees it as a ‘Returning’ customer with value 2 (Orders) present in the API. This would then indicate that both these orders were made from a ‘Returning’ customer, which is not technically correct since the first order made by the customer should be counted as made by a ‘New’ customer.

    Hence, in Databox the value for the ‘Returning’ dimension will be higher and the value for the ‘New’ dimension lower than in the Shopify User Interface when the new customer is making multiple orders right after their first purchase.

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