New Users

The “New Users” dashboard tracks and analyzes new users during their first 30 days, the most critical period for onboarding, activation, and converting free users into paying customers.

How we get these data

New Users data is collected from Shopify API App Events and processed to support clear decision-making.

Understand the dashboard

New Users are the total number of unique shops that have installed the application for the first time, and the time from installation to the reporting moment does not exceed 30 days.

• Shops installed for over 30 days will no longer be counted as New Users but only as Active Users.

• Shops that uninstalled and re-installed will be calculated based on the original installation date in the past (they are not reset to New User status if the first installation was over 30 days ago).

1. New Users

The chart visualizes the number of new users acquired over your selected time period (Days, Weeks, Months). The panels below offer a quick historical comparison, showing your current new user count against the same period in previous months and years.

2. Day of New Customers

This bar chart shows the total number of new customers acquired on each day of the week, helping you identify your Peak day for new user acquisition.

3. Plans

This table breaks down your active customers by their subscription plan. It shows the number of Active Customers on each plan, their percentage distribution, and the total MRR each plan contributes.

4. New Customers

This table provides a real-time log of your most recent new customers. It includes the Customers’s name, the Date they joined, the New Plan they are on, and the MRR Gained from them.

How New Users data can benefit you

• Assess Onboarding Effectiveness: By monitoring new user trends, you can measure the performance of the critical first 30 days for converting customers from Free to Paid. A high volume of new users signals both a significant opportunity and a need to ensure your Support/Success teams are prepared to guide them effectively.

• Optimize Acquisition & User Quality: Identifying your peak acquisition days and analyzing the quality of incoming users allows you to optimize your marketing channels and timing. By comparing the behavior of new users (<=30 days) with your established user base (>30 days), you can quickly assess if new users face any specific difficulties.

• Analyze Plan Performance: The plan breakdown provides a clear view of which subscription tiers are most popular among new users, helping you assess pricing effectiveness and understand what drives early revenue.