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Stripe MRR Upgrades

MRR Upgrades measures the total increase in Monthly Recurring Revenue (MRR) from existing customers who upgraded to a higher-priced subscription plan.

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MRR Upgrades 2.190,879 Start tracking this metric
  • About
  • Tech details
  • Notes
What is "MRR Upgrades"?
MRR Upgrades is a metric that measures the difference in monthly recurring revenue (MRR) between the current month and the previous month due to upgrades in customer subscriptions. It shows how much additional revenue has been generated by customers upgrading their subscription plans. This metric is important for tracking the growth of a subscription-based business and identifying areas where upselling and cross-selling opportunities can improve overall revenue.
Example: Example: A software as a service (SaaS) company tracks MRR upgrades to measure the success of their premium plan. They aim to increase upgrades to the premium plan by 20% in the next quarter.

Visualizations

  • Databox visualization

    Number

    Used to show a simple Metric or to draw attention to one key number.

How to track MRR Upgrades in Databox?

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 MRR Upgrades using Databox, follow these steps:

  1. 1
    Connect Stripe that contains the metric you want to track
  2. 2
    Select the metric you want to track from the list of available metrics
  3. 3
    Drag and drop the selected metric onto your dashboard
  4. 4
    Watch your dashboard populate in seconds
  5. 5
    Put MRR Upgrades on the Performance screen
  6. 6
    Get MRR Upgrades performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of MRR Upgrades
Stripe integration with Databox Track MRR Upgrades from Stripe in Databox GET STARTED

Stripe MRR Upgrades included in Dashboard Templates 1

  • Live view

    Stripe MRR & Subscriptions Overview

    Stripe dashboard template provides you with insights about customer, payments, mrr, churn and more.

    Stripe

Stripe MRR Upgrades included in Report Templates 1

  • Details

    Stripe Report Template

    Use this Stripe report to share important ecommerce insights into churn rate, MRR growth, revenue volume, new customers, and more.

    Stripe

Basics

  • Description
    MRR Upgrades measures the total increase in Monthly Recurring Revenue (MRR) from existing customers who upgraded to a higher-priced subscription plan.
  • Category
    Payment Processing
  • Subcategory
    MRR
  • Date Added
    2015-04-28
  • Default Format
    PrefixCurrency
  • Cumulative Support
    Yes
  • Units
    Yes
  • Granularities
    hourly, daily, weekly, monthly, quarterly, yearly
  • Favorable Trend
    increasing
  • Historical Data
    Yes
  • Changing historical data
    No
  • Forecast Support
    Yes
  • Benchmark Support
    Yes
  • Media Support
    No
  • Dimension
    N/A
  • Metric Type
  • API Endpoint
    https://api.stripe.com/v1/events
  • The usage and limitations of the ‘Upgrades’ and ‘Downgrades’ Stripe metrics

    Usage
    Upgrades or downgrades are tracked when they actually happen. For example, if a user moved from PlanA ($59) to PlanB ($119) today, an upgrade of $60 will be tracked. The same logic will apply to downgrades.

    In cases where the user would switch back and forth, every upgrade and downgrade would be tracked and would influence the upgrade or downgrade amount in Databox. Therefore, Databox suggests using the Calculated Metrics to track the Net New Upgrade or Downgrade values.

    Below is an example of the MRR Upgrades metric and the same logic will apply for other Upgrades and Downgrades metrics.

    Net New MRR Upgrades = MRR Upgrades – MRR Downgrades

    Limitation
    To calculate upgrades, downgrades, and reactivations we use the /events endpoint. In accordance with the Stripe API documentation, Databox can collect only 30 days of historical data through this API endpoint.
    For example, if an upgrade occurred 31 days ago, it would not be pushed to and visible in Databox today.

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