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ChartMogul Failed Transactions

The Failed Transactions metric tracks the number of unsuccessful transactions or payments made by customers.

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

Failed Transactions 2.190,879 Start tracking this metric
  • About
  • Technical Details
What is "Failed Transactions"?
Failed Transactions is a metric that measures the number of transactions that have failed during a specific time period. This includes any failed payments or unsuccessful attempts to process a transaction. It helps businesses identify issues with their payment processes, such as declined credit cards or technical glitches, enabling them to improve customer experience and increase revenue.
Example: Example: Failed Transactions metric helps identify the payment failures and potential revenue loss due to declined credit cards or expired subscriptions in a subscription-based business.

Visualizations

  • Databox visualization

    Number

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

How to track Failed Transactions 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 Failed Transactions using Databox, follow these steps:

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

General

  • Description
    The Failed Transactions metric tracks the number of unsuccessful transactions or payments made by customers.
  • Date Added
    2023-07-25

Specification

  • Metric Type
    event
  • Dimensional
    No
  • Decimal Digits
    No
  • Currency Units
    No
  • Granularities
    Daily, weekly, monthly, quarterly, yearly and all-time.
  • Custom Relative Periods
    Yes
  • Data Availability
    At sync, it ranges from first day of this month 3 years ago midnight to now.
  • Retroactive Data Updates
    Newly synced data is merged with existing data, replacing values for matching periods.
  • Future Data Available
    No

Visualization

  • Cumulative Graph
    Yes
  • Favorable Trend
    increasing
  • Media Creatives
    No
  • Forecasts
    Yes
  • Benchmarks
    Yes

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