How Do I Use the Chargeback Lag Time Chart?
Learn how to anticipate disputes and act preemptively to reduce risk.
Max Jones avatar
Written by Max Jones
Updated over a week ago

Each variable analytics chart provides unique information that can help identify the underlying cause of your chargebacks. This insight can help you solve issues at their source and prevent more chargebacks.

The Chargebacks by Lag Time chart shows the number of days that typically pass between the transaction processing date and the chargeback date.

This insight helps you determine when customers typically charge back so you can act preemptively before loyalty and perceived value are lost.

Various features allow you to analyze this chart’s data in greater detail and learn more about your chargebacks.

Hover Stats

Hover over any point on the graph. A popup box will display:

  • the number of days that passed between the transaction processing date and the chargeback date

  • the number of chargebacks received within that timeline

Filtering Data by Source

The default setting for your Chargebacks by Lag Time chart is to show data for your entire portfolio. However, you have the ability to filter your data and break it down by different sources. For example, maybe you want to view chargeback counts by a particular merchant account or processor.

  • Click Entire Portfolio to add a filter (MID, Processor, etc.).

  • In the second dropdown list, select specific processors or merchant accounts to analyze.

Filtering Data by Date Range

The data displayed in your charts is limited to activity that took place during the time you specified in the Date Range Selector. If you update the date range, the data will adjust.

The default time frame for the Date Range Selector is This Month (month-to-date activity). If you’d like to analyze data during a different time frame, click the date in the upper right corner of any page. This user guide explains how to customize your date ranges.

If this feature isn’t visible in your Midigator account and you want to know why, read this article.

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