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Track record · Automotive retail

Getting hard-to-sell models to the right customer

For a dealer chain in the automotive sector, during the diesel emissions scandal, an AI profiling system was built for a hard-to-sell premium diesel SUV: the customer database was analysed, potential buyers were profiled via social media and publicly available sources, and addressed with targeted advertising.

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The challenge

The problem

A premium diesel SUV sold poorly over several months, made worse by the diesel emissions scandal that hit the entire segment.

Conventional marketing approaches were not enough to get the model in front of the right prospects.

Analytics

The solution

How it was solved

Customer-data analysis Analysis of the existing customer database around the hard-to-sell model, including profiling within the vehicle configuration.
Cross-profiling Profiling of potential new customers via social media and publicly available sources.
Targeted advertising Tailored, targeted advertising to identify and address suitable new customers.

The results

> 90 % of the hard-to-sell SUVs sold in under 2 months
5,6 Mio. € additional revenue in 2 months

Technology

Methods used

Stack

  • Machine Learning
  • Customer-data profiling
  • Social-media analysis
  • Targeted advertising

Result per the project report.

Led by Beyonetix founders and senior engineers. Figures per the respective project report.

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