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How to Analyse Customer Performance Report

Understanding how your customers behave is essential for growing your business. By analysing customer performance trends on the Cloud platform, you can discover which customers are new, which ones return, and how much they usually spend. This guide will walk you through the process step‑by‑step.

Step-by-Step Guide 

Sign In to Your Cloud Account 

Start by logging in to your Cloud platform using your username and password. 

1

Go to the Reports Section 

Once you're on the dashboard: 

  • Navigate to DPOS Cloud Reports. 

2

Open the Customer Performance Report 

Inside the Reports area: 

  • Click Customers 
3
  • Then select Customer Performance 

4

Choose the Transaction Type 

Decide what type of customer activity you want to analyze. 
You can choose from: 

  • Pickup 
  • Delivery 
  • Shop 
  • Table Ordering 
5

Pick the one that matches the data you’re searching for. 

Select the Order Source 

Next, choose where the orders came from. Available sources include: 

  • Deliverit App - Orders placed through IOS or Android native applications. 
  • Deliverit Mobile - Orders placed through the mobile browser version on mobile phones or tablet devices. 
  • Deliverit Web - Orders placed through a web browser on a desktop or laptop device. 
  • POS - Orders entered directly through the DPOS system in-store. 
  • DoorDash - Integrated Orders received through the DoorDash platform. 
  • UberEats - Integrated Orders received through the Uber Eats platform. 
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You can select one source based on what you want to analyse.

Set the Date Range 

Use the date filter at the top right to pick the specific period you want to review, or you can customise a date range and apply.

7

Review the Customer Insights 

Once your filters are set, the system will display key customer performance metrics for the select date range including:

  • Total Customers 
  • Average Spend 
  • New Customers 
  • Repeat Customers 
  • Percentage of Repeat Customers 
  • Returned Customers 
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  • Trends for the New, Repeated, and returned Customers 

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These insights help you identify which customer groups are growing, returning, or spending more.  

Sample Date Range Analysis : 1st to 31 October 2025

New Customer

A New Customer is someone who places their first‑ever order during the selected date range.

Example:

  • Alice has never ordered before

  • She places her first order on 15 Nov 2025

👉 Alice is a New Customer
(Even if she orders again during this period, she is still counted as New because it’s her first time ever ordering.)                                                                                                                               

 Repeat Customer

A Repeat Customer means the customer placed more than one order during the selected date range.

Example:

  • Sarah placed an order on 5 October and another order on 20 October.

  •  Since she made more than one order during the selected period, she is counted as a Repeat Customer.

👉 Sarah is a Repeat Customer                                                                                                                          

Returned Customer

A Returned Customer means the customer had already ordered before the selected date range and then placed another order during the selected period.

Example:

  • John placed his first order on 15 September, then placed another order on 10 October.

  •  Because his first order was before the selected period and he returned to order again during October, he is counted as a Returned Customer.

👉 John is a Returned Customer

Export Your Data (Optional) 

If you want to save or analyse the data outside the platform: 

  • Click Export to download the report in CSV format. 
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You can also export filtered data by selecting: 

  • New Customers 
  • Repeat Customers 
  • Returned Customers 
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This makes it easier to do deeper analysis or keep data for records. 

If you need further assistance, simply click the blue chat icon at the bottom-right corner of the screen to connect directly with our Application Support Team.