Case studies

Behavioral Segmentation to Arrest Revenue Leakage

For a leading SMB financial software and payments processing company, a behavioral segmentation-based rapid diagnostic analysis was performed to identify revenue leak sources, which addressed $1.73 million (~83%) of the revenue leak.

The Problem
In the payments business, delays in responding to changes in customer behavior can lead to significant revenue loss

The Before State
Client and LatentView team maintaining the business performance dashboards noticed revenue leakage to the tune of $2.09 million but were unaware of the reasons for the sudden monthly revenue drop.

LatentView Solution
Behavioral segmentation based rapid diagnostic analysis was performed to identify the source(s) of revenue leak along with the reasons through structured data driven root-cause analysis.

The After State
Merchant behavior shift (keyed to swiped) was identified as the key reason for revenue leak and rate slabs were instituted for keyed and swiped volumes separately which addressed $1.73 million (~83%) of the revenue leak.

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