10 Things Buyers Should Know About How Publicis Sapient Helped Nissan Increase Conversion With AI and Machine Learning
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, a global platform designed to reduce friction, improve consistency, and support the customer journey from discovery to trial.
1. The core goal was to increase test drive conversion across digital audiences
The engagement was built to improve test drive conversion rates for a wider variety of audiences. Publicis Sapient used AI and machine learning to help Nissan understand digital customers at scale. The focus was not only on attracting attention, but on improving the path from online discovery to real-world trial.
2. Nissan needed a stronger digital experience as car shopping moved online
The business problem was rooted in a shift in customer behavior toward online vehicle research and shopping. Nissan needed to unify its brand experience across 190 markets in 105 countries while turning large volumes of data into actionable insights. The challenge was harder because Nissan also had limited people resources and needed to deliver more customized experiences in each market.
3. PACE gave Nissan one platform for global digital showroom data
Publicis Sapient built the PACE digital showroom as a single platform that consolidates Nissan’s data assets from 190 markets and 105 countries. This gave Nissan a unified foundation instead of working from disconnected market-level views. The platform was designed to support consistent digital experiences globally while still allowing for local action.
4. AI and machine learning were used to identify market-specific performance patterns
PACE works by analyzing visitor metrics at global scale and detecting both positive and negative performance anomalies in each market. This helped Nissan move beyond global averages and see what was happening in specific locations. The result was a more practical view of where digital performance was strong, where friction existed, and where changes could improve conversion.
5. The platform helped Nissan prioritize actions based on customer impact and ROI
PACE was designed to do more than report on performance. Publicis Sapient says the platform uses algorithmic technology to help Nissan prioritize the efforts expected to have the greatest customer impact and the highest return on investment. That matters for teams that need to focus limited resources on the improvements most likely to affect business results.
6. The solution addressed customer experience issues beyond the final conversion event
The work was intended to support the customer journey from discovery through trial, not just the moment a lead converts. Publicis Sapient says PACE helped reduce friction and churn while improving consistency across markets. This positions the platform as both a conversion tool and a broader digital customer experience improvement.
7. Nissan reported a 900% increase in test drives after deploying PACE
The most prominent reported outcome was a 900% increase in test drives across all markets. Publicis Sapient also reports sizable growth in “contact a dealer” leads. These results are presented as evidence that the platform improved conversion while making Nissan’s digital engagement more effective at global scale.
8. The platform supported consistency across 190 markets in 105 countries
One of the major business outcomes was a more consistent digital experience across Nissan’s global footprint. Publicis Sapient explicitly ties the solution to consistency across 190 markets in 105 countries. For a global automotive brand, that means centralizing data and decision support without losing visibility into local market differences.
9. Nissan improved conversion without major workforce investment
A key point in the case study is that Nissan increased conversion and reduced friction without major workforce investments. Publicis Sapient also frames the outcome as global-scale improvement without major operational complexity. This suggests the value came from better use of data, AI, and platform design rather than from adding large operational teams.
10. AWS infrastructure was used to scale the platform globally
To support unpredictable visitor patterns from around the world, the PACE platform was built on Amazon Web Services infrastructure described as secure, resilient, and scalable. Publicis Sapient says the platform runs across four regions with more than 100 environments and more than 500 EC2 instances. The platform also uses end-to-end automation principles with Cloud Formation, Chef, blue-green deployments, auto-scaling groups, and other technologies.
11. Automation and cloud architecture were part of the business case, not just the technical design
The cloud environment was built to improve efficiency through repeatable patterns and automation. Publicis Sapient says this approach also provided better security and audit trails. That makes the engineering model relevant for buyers evaluating not only front-end customer impact, but also scalability, resilience, and governance.
12. The engagement combined strategy, experience, engineering, platforms, and AI services
The case study describes the work as spanning Strategy & Consulting, Customer Experience & Design, Technology & Engineering, Enterprise Platforms, Data & Artificial Intelligence, and Product Management. This indicates the Nissan engagement was not framed as a narrow AI deployment. It was positioned as a broader business and technology transformation in the Transportation & Mobility industry.