Loop's analytics dashboard provides a holistic view of an online store's subscription performance and can help merchants make informed decisions about their business. Here are some examples of how an analytics dashboard can be useful:
- Monitoring sales performance: An analytics dashboard can provide real-time updates on sales performance, allowing the merchant to track their revenue, order volume, and other key metrics.
- Tracking customer behavior: With an analytics dashboard, a merchant can gain insights into customer behavior such as where they are coming from, how long they spend on the website, which products they are viewing, and what items they are purchasing. This data can be used to optimize the user experience and make data-driven decisions on product offerings and marketing strategies.
- Identifying opportunities for growth: Analytics dashboards can help identify areas where the merchant can grow their business, such as by analyzing customer retention rates, and conversion rates, and identifying top-performing products.
- Inventory management: An analytics dashboard can be used to monitor inventory levels, identify products that are selling well, and make informed decisions about which items to restock or discount.
Overview sections provide information on three things: Active Subscriptions, Active Subscribers, and Upcoming Sales for the next 30 days.
Active Subscriptions - Number of Active Subscriptions excluding paused, cancelled and expired subscriptions.
Active Subscribers - Number of customers having atleast one active subscriptions.
Upcoming Sales (next 30 days) - It is the expected subscription revenue in next 30 days
It contains the following details-
It gives the numbers of Active, New, Resumed, Reactivated, Paused, Cancelled, and Expired Subscriptions present throughout the duration of the last six months from the time of viewing.
Active subscriptions by delivery interval
The given chart represents the proportion or distribution of subscribers across different frequency types.
This section displays the subscriber numbers that have been activated, deactivated, and net-change within the given date period.
Subscriptions Activated - It is the total number of subscriptions created, resumed and reactivated in the selected date range.
Subscriptions Deactivated - It is the total number of subscriptions paused, expired and cancelled in the selected date range.
Net Subscriptions Change - It is the net subscription added in the selected date range.
This section displays subscription revenue information for the selected time period, including both new and recurring revenue contributions.
Subscription orders (new vs recurring)- This graph compares the number of subscription order placed via checkout to reccurring orders placed via Loop Subscriptions.
Subscription revenue(new vs recurring) -This graph compares the revenue generate of subscription orders placed via checkout to revenue generate from Loop reccuring orders.
Subscription AOV - This graph compares the orders AOV placed via checkout to reccuring orders AOV via Loop subscriptions.
The forecast tab covers the following points:
Orders and revenue forecast
You will find upcoming scheduled orders and revenue with segregation on the basis of their dunning status.
Previous period dunning statistics
Using this tab, you can estimate future revenue realization by understanding the previous period's dunning performance.
Upcoming orders forecast
- Day-wise visualization of upcoming orders segregated as per their dunning status is shown here.
Upcoming revenue forecast
- Day-wise visualization of upcoming revenue segregated as per their dunning status is shown here
This tab covers two points:
Product-wise subscription acquisition:
You can compare products based on the performance of the new subscription
Product-wise subscription revenue:
Compare products based on overall (checkout + recurring) subscription revenues
Churn and retention cohorts
This tab covers the following pointers:
See the total number of cancellation attempts and save rates based on the cancellation reasons
Subscriber cohort analysis
Understand subscriber acquisition and retention. Cohorts are grouped based on the acquisition period - when they created their first subscription during the selected time range.
No need to fret. We’re here to jump in and help you out. Reach out to us at firstname.lastname@example.org, or feel free to ping us on chat by clicking the suppoSubsrt beacon on the bottom right.
Loop Subscription Team 🙂