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.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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 New Customers by Plan ID using Databox, follow these steps:
Churned Recurring Revenue by Plan ID is a metric that measures the total amount of revenue lost due to customer churn, broken down by the specific subscription plan the customers were on at the time of churn.
New Customers metric measures the number of new users who signed up for your product or service within a given time period. It helps you track the growth of your customer base and evaluate the effectiveness of your marketing and acquisition efforts.
The Reactivated Recurring Revenue by Plan ID metric measures the amount of recurring revenue generated from reactivated customers, broken down by different subscription plans.
Churned Recurring Revenue Voluntary measures the loss of revenue due to customer-initiated cancellations of their subscription or membership.
The Existing Customers by Plan ID metric provides insight into the distribution of your current customer base across different pricing tiers or plan levels.
Revenue Churn Delinquent Rate measures the percentage of delinquent customers who are also responsible for revenue churn, indicating the impact of late payments on overall revenue for the business.
Revenue Churn Delinquent Rate by Plan ID is a metric that calculates the percentage of revenue lost due to customers in specific plan IDs who have become delinquent and stopped paying for their subscriptions.
Revenue Churn Rate measures the amount of revenue lost from canceled or downgraded subscriptions over a given period of time.