# New Users

### 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.

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2FmVdqimgIZq8hocG3LsgZ%2Funknown.png?alt=media&#x26;token=66557586-568f-4a2b-a9cc-3f1fb849c8df" alt="" width="563"><figcaption></figcaption></figure>

#### 2. Day of New Customers&#x20;

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.

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2Fkc9etJ6POU12aoD3QGZp%2Funknown.png?alt=media&#x26;token=e227d461-6379-4219-97c6-b1de9d5e081c" alt="" width="563"><figcaption></figcaption></figure>

#### 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.

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2FBmtK96mh9rLUGskvuQJV%2Funknown.png?alt=media&#x26;token=5eb176b8-b698-4ae6-9582-0da8ffe04182" alt="" width="563"><figcaption></figcaption></figure>

#### 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.

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2FHsa3bs2W6cZoBU0O5lUw%2Funknown.png?alt=media&#x26;token=2a29ce7f-1859-4c0f-a956-85e883babcf5" alt="" width="563"><figcaption></figcaption></figure>

### How New Users data can benefit you&#x20;

* **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.