> For the complete documentation index, see [llms.txt](https://docs.letsmetrix.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.letsmetrix.com/shopify-metrics/new-users.md).

# 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="/files/Cgwp9XnqGdSb9EQPgMTu" 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="/files/QzJspxx5e66LyclDmGIm" 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="/files/Nu8d9vyEmXglBOV6vaUj" 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="/files/vpNUE07yAOVnmcpqASKz" 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.