CASE STUDIES
SPEND OPTIMIZATION
FINTECH INSURANCE MARGIN EXPLOSION
Despite confidence in their product offering, a fintech insurance company continually encountered issues with their pricing model that would indicate low or even negative margins. Identifying the problem and creating more levers of control in the model would prove to dramatically increase the overall revenue and customer satisfaction.
REFERRAL FRAUD
SAVED $20M IN ILL-GOTTEN REFERRAL BONUSES
Customer fraudulent referrals accounted for a significant portion of company revenue at a large transportation and logistics company. Utilizing machine learning algorithms we were able to detect and mitigate attempted fraudulent referral transactions while still maintaining high customer acquisition rates.
B2B ENGAGEMENT
$100M OF INCREMENTAL REVENUE BY INCREASED ENGAGEMENT
Our client acted as a middle man of services and was experiencing a lack of supply, which provided fewer options for consumers. This limited offering drove customers to other platforms and capped growth potential. Through creating a commercial platform utilizing the organizations own data, it re-engaged suppliers which in turn increased end consumer offerings and generated massive incremental revenue.
