MRR is a crucial metric for subscription-based businesses that measures the predictable, recurring revenue generated from subscriptions each month.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Recurring Revenue (MRR) using Databox, follow these steps:
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Active Customers by Plan ID shows the number of customers who are currently subscribed to each of your plans, helping you track the popularity of different offerings and identify areas that require more sales or marketing attention.
The New Customers by Plan ID metric tracks the number of new customers who have subscribed to a particular plan. It helps identify which plans are popular among new customers and can aid in optimizing marketing strategies for future growth.
Recurring Revenue by Plan ID measures the total revenue generated by each subscription plan offered by a company on a recurring basis. It helps to analyze which plans are driving the most revenue and identify opportunities to optimize pricing or product offerings.
Customers Conversion Rate metric measures the percentage of website visitors who sign up for your product or service and become paying customers.
Growth Rate by Plan ID measures the percentage change in revenue for a specific subscription plan over a selected time period, indicating the plan's overall success or challenges in driving growth.
Lifetime Value (LTV) measures the total revenue a customer will bring to a business over their entire lifespan as a customer.
This metric measures the rate at which customers are leaving your business based on their specific plan ID. It helps identify which plans may have higher churn rates and need attention to improve customer retention.
New Trialing Customers measures the number of new customers who signed up for a free trial during a specific period of time.