Global Fortune 300 Payments Company

business need: create a centralized source of the truth for digital marketing performance data

SOLVE: A BI tool was provisioned to gather, centralize and clean data from 10's of digital marketing and CRM platforms in real-time.

Data was visualized and democratized for hundreds of users globally across multiple business units, saving over $2.4MM/yr in data assembly costs.

BUsiness need: automated reporting to understand daily marketing performance.  

SOLVE: Energy Plus' in-house SQL server and Excel capabilities were used to build automated, daily reporting that far-exceeded their in-house expertise, saving over 20 hours/week in manual data assembly.

Energy Plus later sold to a Fortune 500 energy company for $190MM.

business need: show potential clients the lifetime financial value of their technology solution

SOLVE: An adjustable lifetime value and cost model was built, allowing TLP Software to quickly perform custom, on-the-fly break even analyses during sales pitches.

Fortune 300 Energy Company

business need: optimize marketing channel mix for maximum customer value

SOLVE: A customer lifetime value model was built, parsing account performance by acquisition channel and other marketing controlled variables, resulting in 5,000+ unique segments

This model was used to rank Marketing opportunities by internal rate of return, giving true visibility into most profitable opportunities.

Fortune 500 Financial Services Company

business need: decrease acquisition cosT PER credit card ACCOUNT

SOLVE: Multiple data points were analyzed in the client's direct sales channels, finding that time of day and day of week are major predictors of card approval rate.  

A "smart" direct sales staffing plan was propsed based on predicted approval rates, keeping acquisition volume near-flat while saving $1.0M in annual acquisition cost.