Case Study: BMG Money achieves 42% more leads and 51% lower cost per lead with SegmentStream

BMG Money increases qualified leads by 42% and cuts cost per lead by 51%

BMG Money, a US financial services company offering loans based on employment status, struggled with accurately measuring the return on investment for its upper-funnel marketing activities. Due to complex customer journeys and tracking restrictions, traditional attribution models were biased and failed to credit prospecting campaigns. To solve this challenge, BMG Money partnered with the marketing mix optimization platform SegmentStream.

SegmentStream's solution utilized proprietary machine learning models and first-party data to provide a true overview of each marketing channel's contribution to conversions. This allowed BMG Money to make informed budget allocation decisions. As a result, the company achieved a 42% increase in qualified leads and a 51% reduction in cost per lead.

BMG Money

José Patino

VP of Business Development