How to Track and Drive Growth Using the Customer Online Activation Rates Report

How to Track and Drive Growth Using the Customer Online Activation Rates Report

The Customer Online Activation Rates Report is a strategic tool designed to help merchants and brand managers track how effectively they are converting users into repeat customers. It provides a visual and data-driven breakdown of where customers sit in their "loyalty journey", from their very first order to becoming highly engaged, regular users.

You can watch a short video on the Customer Online Activation Report here





Where do I find the Customer Online Activation Rates Report?

Once you log into the Reports Portal you will find the Customer Online Activation Rates Report is on the left-hand navigation panel, under the Customers tab.


Figure 1

Understanding the Report Filters

At the top of the report, you can customize the data using the filter bar. Data from the report will not be populated until the data is filtered by brand. The filters are as follows:

Date Range

Defines the period being analysed (e.g., Jan 2025 – Jan 2026).


Brand

Filters data for a specific brand (e.g, Pollo Chicken).


Data Mode

Changes how the data is visualised (e.g., by month or day).


Activation Mode

Allows you to toggle between different time period (e.g., same day, 7 days, 14 days or 30 days).



Figure 2

Customer Online Activation Rates

Let’s take a closer look at this report by reviewing an example, filtering the data mode by Month and the activation mode by Same Day activations.

New Registrations (Per Month)

This is the total number of people who created a new account with your store this month. Think of it like the number of new people walking through your digital front door for the first time. If this number is high, it means the store is successfully attracting new interest.

Same Day Activation Rate

This tells you what percentage of those new users actually placed their first order on the same day they signed up. It shows how many people moved from just "looking at the menu" to actually buying a meal immediately. A high rate means the app is easy to use and the prices are convincing enough to close the deal.

Figure 3

Understanding the graphs

Total Registrations

This is the total number of people who created a new account with your store for the first time.


Total Activations

This counts how many users placed their very first order during the time period you selected. It marks the exact moment a person moves from being just a "registered user" to an "active customer."


Same Day Activations

This tracks the number of people who signed up and placed their first order on that exact same day.


Same Day Spend

This is the total amount of money earned from those customers who signed up and ordered on the same day. It shows you the immediate cash value of your newest customers right at the start of their journey.


Figure 4

Understanding the Table

The table in Figure 5 categorises the data by month, showing how many customers registered in each month. This table provides insight into the following:

Date

This column displays the specific month and year for each row of data within a one-year reporting window, currently spanning February 2025 to January 2026.


Registrations

This shows the total number of new user accounts created during that specific month.


Activation Rate

This represents the percentage of total registered users who have placed at least one order.


Activation Rate (Same Day)

This is the percentage of users who registered and placed their first order on that same day.


Activation Rate (7 / 14 / 30 Day)

These columns show the percentage of users who "activated" (placed an order) within 7, 14, or 30 days of registering.


Total Spend (30 Day)

This indicates the total revenue generated by customers within 30 days of their registration date.

Figure 5

The table information can be exported for data analysis and provides additional categories of information using the CSV Option as seen on the bottom of the report page (see figure 6).

Figure 6


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