SAMPLE Michelin Mobility Intelligence B2B Marketing Data | Prospecting Marketing Data (1M+ ...

The model takes more than 400 variables as inputs:
=> [B2B Marketing Data] company data: creation, size, location, workforce, NAF/NAICS code
=> [Vehicle Data] fleet data: from average age to type of vehicles (brands, models)
=> [Geodata] city population density, income, city surface

As an ouput, you get a predictive marketing score assessing appetence to emobility.

This marketing tool has a proven efficiency as it helped sales & marketing data teams to increase conversion performance by 3 to 5.

With this dataset, you will get the most efficient tool to address the electric vehicle market / e-mobility market in France or to monitor vehicle market trend.