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Shopify Net Sales by New vs Returning Customers

The Net Sales by New vs Returning Customers metric shows the revenue generated by customers who are either new to the store or have made a repeat purchase. It helps to identify which group brings in more revenue and informs customer acquisition and retention strategies.

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

Net Sales by New vs Returning Customers 2.190,879 Start tracking this metric
  • About
  • Technical Details
  • Notes
What is "Net Sales by New vs Returning Customers"?
The Net sales by New vs returning customers metric shows the total sales generated by both new and returning customers. It differentiates between new and returning customers to determine which group generates the most revenue. This metric is important because it helps businesses evaluate the effectiveness of their marketing and customer retention strategies. By identifying the revenue generated by new versus returning customers, businesses can adjust their strategies to focus on acquiring new customers or retaining existing ones.
Example: In January, a Shopify store had $10,000 in net sales. Of that, $7,000 was from returning customers and $3,000 was from new customers. The store can use this metric to track how much revenue is coming from each customer group.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

How to track Net Sales 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 Net Sales 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 Net Sales by New vs Returning Customers on the Performance screen
  6. 6
    Get Net Sales by New vs Returning Customers performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Net Sales by New vs Returning Customers
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Shopify integration with Databox Track Net Sales by New vs Returning Customers from Shopify in Databox GET STARTED

General

  • Description
    The Net Sales by New vs Returning Customers metric shows the revenue generated by customers who are either new to the store or have made a repeat purchase. It helps to identify which group brings in more revenue and informs customer acquisition and retention strategies.
  • Category
    Ecommerce
  • Subcategory
    Sales
  • Date Added
    2015-04-28

Specification

  • Metric Type
    event
  • Dimensional
    Yes
  • Decimal Digits
    Yes
  • Currency Units
    Yes
  • Granularities
    Hourly, daily, weekly, monthly, yearly, quarterly and all-time.
  • Custom Relative Periods
    Yes
  • Data Availability
    At sync, it ranges from 3 years ago to now.
  • Retroactive Data Updates
    Existing data is purged in favor of the most recent synced data.
  • Future Data Available
    No

Visualization

  • Default Format
    PrefixCurrency
  • Cumulative Graph
    Yes
  • Favorable Trend
    increasing
  • Media Creatives
    No
  • Forecasts
    Yes
  • Benchmarks
    No

  • 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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