FAQ
Publicis Sapient helped Nissan improve test drive conversion rates by using AI and machine learning to better understand digital customers at scale. The work centered on Nissan’s PACE digital showroom, which unified data across 190 markets and 105 countries to reduce friction, improve consistency, and increase conversion.
What is the Nissan AI and machine learning case study about?
This case study is about how Publicis Sapient helped Nissan increase conversion through AI and machine learning. The work focused on improving test drive conversion rates across a wider variety of audiences. It also helped Nissan better understand digital customers from discovery through trial.
What business problem was Nissan trying to solve?
Nissan was trying to strengthen its digital experience as car shopping shifted online. The company needed to unify the brand across 190 markets in 105 countries while turning large volumes of data into actionable insights. Nissan also had limited people resources and needed a way to deliver more customized experiences in each market.
What was the main goal of the Nissan engagement?
The main goal was to improve test drive conversion rates. Publicis Sapient used AI and machine learning to help Nissan understand digital customers at scale and evolve experiences to meet customer needs. The effort was designed to support the customer journey from early discovery to trial.
What solution did Publicis Sapient build for Nissan?
Publicis Sapient built the PACE digital showroom for Nissan. PACE consolidates Nissan’s data assets from 190 markets and 105 countries into a single platform. The platform uses AI and machine learning to analyze visitor behavior and support conversion-focused decision-making.
How does the PACE digital showroom work?
PACE works by bringing Nissan’s global data into one platform and analyzing visitor metrics at scale. It identifies positive and negative performance anomalies specific to each market. It also uses algorithmic technology to help Nissan prioritize the actions expected to deliver the greatest customer impact and the highest return on investment.
How did the solution help Nissan act at local market level, not just globally?
The solution helped Nissan move beyond global averages and act on market-specific insights. PACE analyzes visitor metrics by market and highlights performance anomalies specific to each location. That gave Nissan a way to tailor actions and improve conversion in individual markets.
What kind of customer insights did Nissan gain from AI and machine learning?
Nissan gained market-specific insights from global visitor data. PACE identified both positive and negative performance anomalies in each market. These insights helped Nissan decide where to focus effort for stronger customer impact and better return on investment.
How did PACE help Nissan prioritize what to improve first?
PACE helped Nissan prioritize by using algorithmic analysis to identify where action would likely create the most value. The platform evaluates visitor metrics and highlights opportunities expected to drive the greatest customer impact. Publicis Sapient also says this prioritization was tied to expected return on investment.
What results did Nissan report from the PACE platform?
Nissan reported significantly higher conversion and lower friction after deploying PACE. Reported results include a 900% increase in test drives across all markets, consistent digital experience across 190 markets in 105 countries, sizable growth in “contact a dealer” leads, and continuous analysis of more than 1,000 data points. The case study also says these gains were achieved without major workforce investments.
Did Nissan improve test drive conversions without major workforce expansion?
Yes, the case study says Nissan increased test-drive conversion at global scale without major workforce investments. Publicis Sapient also states that PACE reduced friction and churn while increasing conversion rates. The reported outcome came without adding major operational complexity.
How much global scale did the Nissan solution support?
The solution supported Nissan at very large global scale. Publicis Sapient says PACE unified data from 190 markets in 105 countries into a single platform. The platform was designed to help Nissan operate consistently across markets while still responding to local differences.
What role did AWS play in the Nissan solution?
AWS provided the infrastructure used to scale the PACE platform globally. Publicis Sapient says the platform relies on secure, resilient, and scalable infrastructure on Amazon Web Services. This supported unpredictable visitor patterns from across the globe.
How was the Nissan platform engineered for scale and automation?
The Nissan platform was engineered with a strong focus on scale, repeatability, and automation. Publicis Sapient says it runs across four regions with more than 100 environments and more than 500 EC2 instances. The platform also uses Cloud Formation, Chef, blue-green deployments, auto-scaling groups, and other technologies.
What operational benefits did the cloud platform provide?
The cloud platform improved efficiency, scalability, security, and auditability. Publicis Sapient says repeatable patterns and end-to-end automation helped improve efficiencies. The company also says the platform provided better security and audit trails.
What services did Publicis Sapient provide in the Nissan engagement?
Publicis Sapient provided a broad mix of services for Nissan. The case study lists Strategy & Consulting, Customer Experience & Design, Technology & Engineering, Enterprise Platforms, Data & Artificial Intelligence, and Product Management. These services supported both the business and technical sides of the work.
Which industry does this Nissan case study belong to?
This case study belongs to the Transportation & Mobility industry. The work focuses on automotive customer experience and digital conversion improvement. It addresses how an automaker can modernize digital engagement as more vehicle shopping moves online.
What made Nissan’s challenge difficult to solve?
Nissan’s challenge was difficult because it combined global scale, high data volume, and limited internal resources. The company needed to create a more consistent digital experience across 190 markets while still responding to local market differences. It also needed to translate large amounts of data into actions that would improve conversion.
Did the work improve more than just conversion?
Yes, the work addressed more than conversion alone. Publicis Sapient says PACE reduced friction and churn while helping Nissan deliver a more consistent digital experience across global markets. The platform was designed to support customer needs from discovery through trial, not only the final conversion event.