> 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-subscriptions.md).

# New Subscriptions

### How we get these data

New Subscriptions data is gathered from Shopify API App Events and Transactions to ensure real-time and precise tracking of merchant payment activities.

### Understand the dashboard

New Subscription is the total number of users (shops) newly using a paid plan (Active Paid Plan), and the time from the first charge to the reporting moment does not exceed 30 days.

* **Paid types include:**
  * **Subscription:** Recurring fees.
  * **One-time:** Application Charge.
  * **Usage-based:** Fees based on usage levels.
* **Timeframe:** After the 31st day from the first payment, the user will no longer be a New Subscription.

#### 1. New Subscriptions 

The chart visualizes the total number of new subscriptions over your selected time period (Days, Weeks, Months), with a percentage comparison against the previous 31-day period. You can view the chart in either Combined/Separate mode.

<figure><img src="/files/tv1uKzhtHo8qQB77lS9O" alt="" width="563"><figcaption></figcaption></figure>

The breakout table shows the daily changes that contribute to this trend, including **One-time**, **Subscriptions**, and **Usage** charges.

The panels below offer a quick historical comparison of your total new subscription count against previous months and years.

<figure><img src="/files/9fsJZYfOxO4ra7OXgW75" alt="" width="563"><figcaption></figcaption></figure>

#### 2. Plans

This chart provides an overview of which specific **Plans** new merchants are choosing, displaying each plan’s **Interval**, **Active Customer** count, percentage share, and the **MRR** contribution for each plan.

<figure><img src="/files/yddBe6KerdV8dv22AEjN" alt="" width="563"><figcaption></figcaption></figure>

#### 3. New Subscriptions (Customer)

This table displays a granular list of individual shops that have recently converted, including the **Customer** (shop) name, subscription **Date**, the specific **Subscription Plan** selected, and the exact **MRR Gained** from each conversion.

<figure><img src="/files/OCk082suawCuNc1xkOk2" alt="" width="563"><figcaption></figcaption></figure>

#### How New Subscriptions data can benefit you

* **Monetization Efficiency:** It measures your ability to successfully persuade users to upgrade to a paid plan after the initial installation or trial period.
* **Refund Risk:** The new paying group (<= 30 days) is usually the group most likely to request a refund or cancel the plan if the product does not immediately meet expectations.
* **Sales Campaign Evaluation:** It allows you to check the effectiveness of discounts or marketing strategies aimed at converting users from free to paid.