Case Studies: Behavioral Targeting
An OEM's Breakthrough Experience with Behavioral Targeting
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Jumpstart Automotive Group - September 2007
The Importance of Capturing In-Market Shoppers
Realize success with behavioral targeting by employing various elements of optimization over time.
- Key Success Factor: Driving low-funnel auto activities in the most cost-efficient manner vs. competing BT programs
Key Findings
- BT performance can dramatically improve with optimization
- Jumpstart's BehaviorPATH was the most effective behavioral solution vs. the competition
- Cost efficiency increased by 37% during one quarter due to optimization
Structure of Program
- Media program executed via Jumpstart's BehaviorPATH opportunity
- Campaign targeted to various behavior segment's within the BehaviorPATH offering, including:
- Sedan shoppers - Coupe shoppers
- SUV shoppers - Truck shoppers
- Luxury Vehicle shoppers - Sports Car shoppers
- Crossover shoppers - Mini-van shoppers
- Behaviors were defined based on cookie-based data of shoppers who had performed at least one action within the aforementioned segments in the previous 8-week period
- Program began in Q2 of 2007 and was subsequently renewed in Q3 and Q4 (data analysis reflects Q2 performance)
- At least five other behavioral targeting programs were also utilized by the OEM during this time frame
Results
- Overall cost efficiency of BehaviorPATH program improved by 37% from the opening month of Q2 vs. average of the next two months
- Cost efficiency improved in all 8 segments targeted over the same time period
- Dramatic cost efficiency increases demonstrated in key strategic segments relative to OEM's efforts:
- Sports Car + 113%
- Truck + 91%
- Minivan + 80%
- Average of all competitors in efficiency was consistently out-performed by close of Q2 (according to client feedback)
- BehaviorPATH spend increased by OEM by 118% in Q3 followed by 149% in Q4 (as compared to Q2 spend)
Steps to Realizing Success
"BehaviorPATH consistently out-performed the average of all competitors in efficiency."
- Optimize ad unit sizes: shift weight of ad delivery to better performing ad sizes
- Re-calibrate segments: subtract vehicle models in under-performing segments to focus on more directly competitive models
- Adjust timeframe: reduce behavior collections from 8 weeks to 6 weeks in under-performing segments
- Adjust frequency: consistently monitor ad frequency levels; one to two exposures per 24-hour period is optimal
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