iSpot.tv
10 Case Studies
A iSpot.tv Case Study
DriveTime needed to improve its return on ad spend for TV advertising but lacked the granular data required. The challenge was to understand the incremental results and optimal ad frequency for each network, as linear TV data alone was not sufficient for sophisticated modeling.
Using iSpot's Integrated User Level Data (IULD), DriveTime connected TV ad exposure to conversions at a device level. This allowed for a sophisticated lift analysis to calculate the Cost Per Incremental Visit and determine the ideal frequency for each network. As a result, iSpot helped DriveTime boost its ROAS by 26% and achieve a 90% increase in leads with only a 34% increase in spend.
Patrick Littler
Vice President of Retail Strategy & Analytics