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PayPal Incoming Refunds

Incoming Refunds metric measures the amount of money refunded back to a merchant's account from their customers. It helps businesses track their refund transactions and ensure customer satisfaction.

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

Incoming Refunds 2.190,879 Start tracking this metric
  • About
  • Tech details
What is "Incoming Refunds"?
The Incoming Refunds metric refers to the total amount of money refunded to a PayPal account during a specific period of time. This metric is important for measuring the level of customer satisfaction and the effectiveness of business operations. It can also help identify areas where improvements may be needed to reduce the number of refunds and improve customer retention.
Example: Example use case: A merchant can use Incoming Refunds metric to track the number of refunds they receive from customers who paid using PayPal.

Visualizations

  • Databox visualization

    Number

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

How to track Incoming Refunds 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 Incoming Refunds using Databox, follow these steps:

  1. 1
    Connect PayPal 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 Incoming Refunds on the Performance screen
  6. 6
    Get Incoming Refunds performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Incoming Refunds
PayPal integration with Databox Track Incoming Refunds from PayPal in Databox GET STARTED

Basics

  • Description
    Incoming Refunds metric measures the amount of money refunded back to a merchant's account from their customers. It helps businesses track their refund transactions and ensure customer satisfaction.
  • Category
    Payment Processing
  • Subcategory
    Refunds
  • Date Added
    2016-05-31
  • Default Format
    PrefixCurrency
  • Cumulative Support
    Yes
  • Units
    Yes
  • Granularities
    daily, weekly, monthly, quarterly, yearly, allTime
  • 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
    http://soapproxy.prod/

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