PrePass case study

From Guesswork to Growth: The BI Strategy That Changed Everything for PrePass

How a complete business intelligence system, a clear qualified-lead definition, and campaign restructuring helped PrePass scale qualified lead volume while sharply reducing cost.

Transportation technologyPaid media + business intelligence
PrePass case study

99.8%

reduction in cost per qualified lead

1,200+

qualified leads in June

5

qualified leads in January

1,336x

growth in qualified opportunities reported in the source study

Initial challenge

What was holding growth back.

!

High campaign costs with little to no qualified return.

!

No visibility into the business results generated by advertising.

!

No shared definition of what counted as a qualified lead.

Solutions implemented

The operating changes behind the result.

01

Complete BI system

EIC deployed dashboards and real-time performance indicators so campaign decisions could be tied to business outcomes.

02

Qualified-lead definition

The team established a clear qualification standard centered on companies with large truck fleets.

03

Campaign restructuring

Every active campaign was reviewed and restructured around the new measurement and qualification framework.

04

Data-driven optimization

Ongoing optimizations were based on qualified performance data rather than top-line lead volume alone.

Highlighted results

Better visibility. Better decisions. Better outcomes.

Qualified lead volume grew from an average of 5 in January to more than 1,200 in June within the client’s ISP 4 segment.

The source case study reports a 99.8% reduction in cost per qualified lead since the project began.

The new reporting layer gave the client real-time visibility into lead quality and campaign efficiency.

Conclusion

A clear strategy and a robust BI infrastructure turned an inefficient campaign program into a data-driven marketing operation focused on qualified outcomes.

Results are drawn from EIC’s source case study for the period described. Individual results vary and are not a guarantee of future performance.

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