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Stripe MRR Upgrades by New Plan Name

MRR Upgrades by New Plan Name is a metric that shows the amount of monthly recurring revenue generated from customers upgrading to a new pricing plan, organized by the specific plan they upgraded to.

With Databox you can track all your metrics from various data sources in one place.

MRR Upgrades by New Plan Name 2.190,879 Start tracking this metric
  • About
  • Tech details
  • Notes
What is "MRR Upgrades by New Plan Name"?
MRR Upgrades by New Plan Name is a metric used to measure the total increase in monthly recurring revenue (MRR) that is generated by subscription upgrades across all new plan names. It helps businesses understand which subscription plans are driving the most revenue growth and identify opportunities for pricing optimization and future product development. By analyzing this metric, companies can also track customer behavior and identify trends in their product preferences, helping them make better strategic decisions for their business.
Example: A SaaS company wants to track the success of their new premium plan offering. They use the MRR Upgrades by New Plan Name metric to see how many customers are upgrading to the premium plan and how much revenue is being generated.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

How to track MRR Upgrades by New Plan Name 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 by New Plan Name 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 by New Plan Name on the Performance screen
  6. 6
    Get MRR Upgrades by New Plan Name performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of MRR Upgrades by New Plan Name
Stripe integration with Databox Track MRR Upgrades by New Plan Name from Stripe in Databox GET STARTED

Basics

  • Description
    MRR Upgrades by New Plan Name is a metric that shows the amount of monthly recurring revenue generated from customers upgrading to a new pricing plan, organized by the specific plan they upgraded to.
  • 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
    No
  • Media Support
    No
  • Dimension
    Yes
  • 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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