FAQ
Publicis Sapient helped a leading global automaker connect touchpoints across the customer journey through one global platform. The platform was designed to link customer behavior, media spend, and demand so teams could make faster decisions, improve experience, and drive sales more efficiently.
What is this automotive customer centricity platform?
This is a global platform designed to connect touchpoints across the customer journey. Publicis Sapient built it to give the automaker better visibility into customer intent across marketing and sales, so teams could improve experience, generate demand, and increase sales.
What business problem was the automaker trying to solve?
The automaker was trying to understand which marketing decisions actually led to vehicle sales. It needed a clearer connection between customer behavior, media spend, and demand across markets. It also wanted to move beyond lead generation alone and understand how marketing and sales contributed to overall sales.
Why did the automaker need one platform across the customer journey?
The automaker needed one platform because disconnected touchpoints made it harder to create a data-driven customer experience. Publicis Sapient designed the platform to break down silos, connect data across the funnel, and help teams respond more quickly to buyer demand. The aim was to support a more coordinated approach across markets and functions.
How does the platform help marketing and sales teams act faster?
The platform helps teams act faster by providing real-time metrics and dashboards across the sales funnel. That visibility enables teams to react more quickly to demand signals and make faster decisions. It also improves accountability by giving teams a clearer view of performance and outcomes.
What is the reverse funnel approach in this case study?
The reverse funnel approach means starting with the purchased vehicle and working backward. Publicis Sapient used this approach to predict the media spend required for desired business outcomes. The goal was to create an outcome-oriented model that improved efficiency across the funnel.
How does the predictive sales funnel work?
The predictive sales funnel uses advanced machine learning models to forecast performance at each stage of the buyer journey. The models were built to predict current and future business conditions and to measure how direct and indirect factors affect sales. They were also used to simulate marketing plans and support better spend decisions.
What can the machine learning models help the automaker do?
The machine learning models help the automaker forecast funnel performance, simulate marketing scenarios, and optimize spend. According to the source, they can recommend spend for a given target or budget and help teams make more informed decisions about the marketing mix. The models were also designed to scale by adding more inputs over time.
How did Publicis Sapient improve campaign execution and personalization?
Publicis Sapient improved campaign execution by streamlining processes and collaboration. This reduced the workflow from campaign brief to go-live by 50%, even with the added complexity of richer campaign variants and personalization. The work also supported insights-based campaigns and targeted personas.
What measurable results did the platform deliver?
The platform delivered a 25% increase in digital lead conversion, a 15% decrease in cost per digital lead, and a 15% decrease in digital cost per sale. It also shortened campaign workflow time from brief to go-live by 50%. In addition, the forecasting models delivered usable, reliable forecasts after three months.
How quickly did the forecasting model start producing usable results?
The forecasting model delivered usable, reliable forecasts after just three months. The source also says the advanced machine learning models were highly cost-efficient compared with traditional statistical forecasting models. This gave the automaker a faster path to practical forecasting value.
Was the platform launched globally from the start?
No, the platform was first launched as a pilot in two representative markets. The source says the platform was designed so similar models could later be rolled out by global teams within local regions. This made the approach testable first and scalable later.
How is the platform designed to scale across markets?
The platform is designed to scale through modular models and a global platform structure. The source says additional inputs, such as competitor incentives and sales, can be integrated to improve prediction accuracy. Once scaled, the platform can support regional rollout of similar models in local markets.
What changed for the automaker after the platform was implemented?
The automaker became better able to optimize media and incentive spend together across the full sales funnel. Publicis Sapient describes the platform as more than a technology solution because it supports a broader change across people, process, and technology. It also helped surface gaps in the customer journey and identify further opportunities to improve performance.
What makes this more than a marketing technology project?
This is more than a marketing technology project because the platform was positioned as a holistic approach to marketing and sales. The source describes changes across people, process, and technology rather than a stand-alone tool implementation. The platform was meant to improve decision-making, accountability, and coordination across the business.
Who is this solution relevant for?
This solution is relevant for automotive organizations trying to connect customer touchpoints, improve demand generation, and link marketing activity more directly to sales outcomes. The case study focuses on a leading global automaker operating across multiple markets. It is especially relevant where teams need better forecasting, faster campaign execution, and more efficient spend allocation.