TL;DR:
- PureCars acquired AutoMiner to enhance dealership marketing with clean customer data.
- A study in collaboration with Meta evaluated dealership ads using AutoMiner’s data and Meta’s Advantage+ Audiences.
- The study revealed impressive results, including an 83% reduction in cost per lead and significant increases in leads and reach.
- Meta’s machine learning prioritized custom audience lists and expanded targets efficiently.
- The synergy between AutoMiner’s data and Meta’s machine learning offers dealerships a powerful tool to elevate advertising performance.
Main AI News:
In a strategic move made a year ago, PureCars strategically acquired the AutoMiner platform, setting forth on a mission to empower dealerships with pristine customer data to enhance their marketing endeavors. Fast forward to today, the culmination of this endeavor has arrived, with PureCars unveiling the findings of an insightful study conducted in partnership with Meta, aimed at assessing the efficacy of dealership advertisements utilizing AutoMiner’s data and Meta’s Advantage+ Audiences.
The verdict is resoundingly positive.
PureCars CEO, Aaron Sheeks, expressed his enthusiasm, stating, “We’re thrilled with the impressive results of our study with Meta. The amalgamation of AutoMiner’s immaculate customer data with Advantage+ Audiences has yielded precisely the results our customers seek when harnessing first-party data for advertising.”
Conducted this past November, the study meticulously examined two distinctive campaign categories.
In the first, focusing on vehicle acquisition ads, the study juxtaposed AutoMiner’s custom audiences with Meta’s Advantage+ Audiences enhanced by machine learning capabilities, in order to determine if this amalgamation could outperform a custom audience list in isolation. Meta’s machine learning algorithm, in this scenario, prioritized the custom audience list while simultaneously leveraging it to broaden the audience to encompass potential action-takers.
The outcome was nothing short of remarkable, with an 83% reduction in cost per lead, an astounding fivefold increase in leads generated, and an extraordinary twentyfold surge in reach.
The second segment of the study honed in on advertisements promoting new car sales, channeling automotive inventory ads to dealership websites and On-Facebook lead generation formats. This approach employed an equity list in conjunction with Advantage+ Audiences, and its objective was to discern which strategy would deliver superior performance.
The study concluded that, when budget constraints allowed, simultaneously implementing these strategies more than doubled the overall performance. Meta’s machine learning, once again, showcased its prowess by prioritizing the equity list and expanding the target audience efficiently.
The result was a staggering sevenfold surge in vehicle display page views, a fourfold increase in leads generated, and a sixfold augmentation in reach.
Sheeks emphasized that this study serves as just one of many illustrations of how dealerships can instantaneously elevate their advertising performance by leveraging the pristine customer data at their disposal. The synergy between AutoMiner’s clean data and Meta’s machine learning is a game-changer for the industry, and dealerships would be wise to capitalize on this powerful partnership.
Conclusion:
The partnership between AutoMiner’s clean customer data and Meta’s machine learning represents a pivotal development for the dealership market. This collaboration offers a highly effective strategy to improve advertising performance, with substantial cost savings and enhanced reach. Dealerships should consider leveraging this synergy to gain a competitive edge in the market.
