Amperity will enable Stellantis to recognize customers across brands, households and vehicles to deliver relevant experiences in the moments that matter
Amperity, an enterprise-grade Customer Data Platform that helps brands act on trusted customer context, announced that Stellantis has selected Amperity to support its customer data transformation and deliver more relevant, personalized experiences across its brands and customer touchpoints.
“We are thrilled to see Stellantis using our unique technology to build the foundation to recognize customers as their needs evolve, and respond in the moments that matter,” said Kabir Shahani, Founder & co-CEO of Amperity.
By making trusted customer context accessible across its organization, Stellantis can enable business users to build audiences, respond to real-time signals and support use cases such as cross-brand engagement, after-sales and loyalty experiences, personalized messaging and campaign measurement. Amperity’s open, composable architecture will allow Stellantis to work with its existing data and technology ecosystem, helping reduce silos, maximize current investments and accelerate time to value.
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During its evaluation, Stellantis assessed Amperity against real-world data and business requirements. In a proof of concept, Amperity ingested millions of records in minutes, created a unified Customer 360 that addressed the complexity of automotive data in less than three days, and demonstrated live how they could support Stellantis’s complex, real-time use cases across the consumer journey.
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“Automotive buyers span brands, vehicles, households, dealers, digital interactions and years of ownership, making knowing everything about your customer especially critical,” said Kabir Shahani, Founder & co-CEO of Amperity. “We are thrilled to see Stellantis using our unique technology to build the foundation to recognize customers as their needs evolve, and respond in the moments that matter. Amperity’s core technology will turn fragmented signals into real-time understanding its teams and AI agents need to make better decisions and deliver more relevant experiences.”
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