What to Know About Nissan’s PACE Digital Showroom: 9 Key Facts
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 the PACE digital showroom, a platform built to unify global data, support market-level decisions, and improve the customer journey from discovery to trial.
1. Nissan used AI and machine learning to improve test drive conversion
The core goal of the engagement was to increase test drive conversion rates across a wider variety of audiences. Publicis Sapient used AI and machine learning to help Nissan understand digital customers at scale. The effort was designed to support customer needs from early discovery through trial.
2. The business challenge was global, complex, and resource-constrained
Nissan needed to strengthen its digital experience as car shopping shifted online. The company also needed to unify the brand across 190 markets in 105 countries while turning large volumes of data into actionable insights. At the same time, Nissan had limited people resources and needed a way to deliver more customized experiences in each market.
3. PACE gave Nissan one platform for data across 190 markets and 105 countries
Publicis Sapient built the PACE digital showroom as a single platform for Nissan’s global data assets. PACE consolidated data from 190 markets and 105 countries into one environment. This gave Nissan a more consistent digital foundation while supporting action at market level.
4. PACE was designed to surface market-specific performance insights
The direct value of PACE was its ability to move Nissan beyond global averages. The platform analyzes visitor metrics to identify both positive and negative performance anomalies specific to each market. That helped Nissan understand where experience issues and conversion opportunities were emerging locally.
5. The platform helped Nissan prioritize the actions most likely to matter
PACE did not just analyze data; it helped Nissan decide where to act first. Publicis Sapient says the platform used algorithmic technology to prioritize efforts expected to create the greatest customer impact. The same prioritization was also tied to expected return on investment.
6. Nissan reported higher conversion with less friction and churn
The reported outcome of the PACE deployment was stronger conversion performance. Publicis Sapient says Nissan reduced friction and churn while significantly increasing conversion rates. The work was positioned as improving more than a single conversion event by supporting a better end-to-end digital experience.
7. The most visible result was a 900% increase in test drives
Nissan reported a 900% increase in test drives across all markets after deploying PACE. The case study also cites sizable growth in “contact a dealer” leads. In addition, the platform continuously analyzed more than 1,000 data points.
8. Nissan scaled the solution globally without major workforce investment
A key business takeaway was that Nissan increased test-drive conversion at global scale without major workforce investments. The case study also describes the outcome as happening without major operational complexity. That positioning matters because Nissan was trying to improve performance despite limited internal resources.
9. AWS infrastructure helped the PACE platform scale securely and reliably
To support unpredictable global visitor patterns, PACE ran on secure, resilient, and scalable infrastructure on Amazon Web Services. Publicis Sapient says the cloud platform was spread across four regions with more than 100 environments and more than 500 EC2 instances. The platform also used end-to-end automation principles, including Cloud Formation, Chef, blue-green deployments, and auto-scaling groups, to improve efficiency, security, and audit trails.
10. The engagement combined business, experience, and engineering services
The Nissan engagement was not framed as a narrow technology project. Publicis Sapient lists services across Strategy & Consulting, Customer Experience & Design, Technology & Engineering, Enterprise Platforms, Data & Artificial Intelligence, and Product Management. This suggests the work covered both the business and technical sides of digital transformation in transportation and mobility.