Marketing Personalization
Formula 1 (F1), a global sports and entertainment spectacle, offers modern apps, games, and experiences to directly engage with its fans. But these products operated in silos with little near real-time (NRT) integration, so it was difficult for F1 to understand its fans and create great customer experiences.
Reported impact
Continuing to Adapt to Reach New Fans Using AWS and Salesforce F1 continues to adapt to meet new fans’ expectations and achieve relevant and engaging fan experiences. FPP helps F1 engage its existing audience more effectively and can open doors to new markets and demographics, such as younger and more diverse fans.
Formula 1 (F1), a global sports and entertainment spectacle, offers modern apps, games, and experiences to directly engage with its fans. But these products operated in silos with little near real-time (NRT) integration, so it was difficult for F1 to understand its fans and create great customer experiences. F1 captivates speed enthusiasts worldwide with its thrilling races. The brand has a long history of using pioneering technology. “It’s part of our DNA. The tech produced in F1 appears in everyday life, whether that be in buttons on steering wheels, hybrid car technology, or even washing machines,” says Matt Kemp, senior CRM manager at F1. Key services included Amazon SageMaker supports model training, tuning, deployment, or managed ml inference. Continuing to Adapt to Reach New Fans Using AWS and Salesforce F1 continues to adapt to meet new fans’ expectations and achieve relevant and engaging fan experiences.
But these products operated in silos with little near real-time (NRT) integration, so it was difficult for F1 to understand its fans and create great customer experiences.
Continuing to Adapt to Reach New Fans Using AWS and Salesforce F1 continues to adapt to meet new fans’ expectations and achieve relevant and engaging fan experiences.
FPP helps F1 engage its existing audience more effectively and can open doors to new markets and demographics, such as younger and more diverse fans.
Formula 1 (F1), a global sports and entertainment spectacle, offers modern apps, games, and experiences to directly engage with its fans.
Unifying F1® Fan Data and Personalising the Experience FPP unifies data from multiple sources into a centralised data lake on AWS, giving F1 a more comprehensive view of its fans.
“Our previous solution took 24–48 hours to stitch data together,” says Raul Alexis, commercial partnerships at F1.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
AWS Sample Est. · Dec 18, 2025 Pinterest Pinterest needed to scale AI-powered visual discovery to 600 million monthly active users while keeping the platform a positive, trusted, and safe experience differentiated from competitors who optimize for viral… 10 million AI-powered recommendations per second Amazon Bedrock · Amazon EC2 · Amazon EC2 G5 instances AWS Sample Sep 26, 2024 Hisense TV System Furthermore, the system needed to launch in the European market first to support rapid regional expansion, increasing the urgency. 1.5 months to globally launch AI-intelligent recommendation system AWS Step Functions · Amazon EKS · Amazon ElastiCache AWS Sample Jul 1, 2024 NAGRA Using AWS and services such as Amazon Bedrock means both faster development of new services and features, and the ability to ramp up to meet demand. “Working with AWS gives us the certainty that we’re able to scale to… Its customers include content providers, pay-TV operators, and telcos, who choose NAGRA to protect their… Amazon Bedrock · Anthropic Claude 