Driving Active Engagement through predictive modeling

Case Study

Challenge

Harte Hanks was tasked with helping an up-and-coming auto company make the leap toward direct competition with top-tier Japanese automakers—companies with stronger brand impact, deeper dealer networks and significantly higher budgets.

Solution

Through deep data analysis, we realized that early and ongoing engagement was the key to driving re-purchase. Armed with this insight, we created a constantly evolving campaign driven by predictive modeling that worked across social media, mobile and traditional channels like email and DM, keeping interest high whether customers were looking to buy now or were actively considering down the road.

The dynamic campaign helped the company jumpstart its trajectory toward the top, boosting sales at an average of one thousand a year. Brand loyalists’ behavior also saw further engagement.

300k+

cars sold through crm over 3 years

6%

increase in loyalty repurchase rate

3

major products launches supported

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