Case Study: Autotrader Achieves 92% More Leads with RTB House

Autotrader boosts new car leads 92% above target with RTB House

The customer, Autotrader, a leading U.K. automotive marketplace, faced the challenge of driving users back to its app to view and engage with its newer, more expensive new vehicle listings. Their goal was to efficiently increase conversions for new car leads, especially during the critical Q1 period, while adhering to strict cost-per-acquisition targets. To meet this challenge, they partnered with vendor RTB House and its deep learning-powered advertising solutions.

RTB House implemented a solution using its deep learning algorithms to create hyper-personalized, dynamic ad banners that displayed new vehicle recommendations based on a user's app browsing history. This approach resulted in a campaign that delivered 92% more conversions than Autotrader's target and outperformed other marketing channels by 51%. Additionally, the RTB House ads achieved a click-through rate that was two times higher than other channels.

Autotrader