Automotive CDP: Refining Customer Experience

Predict and personalize the car buying experience

Automakers have no shortage of customer data. Treasure Data’s customer data platform for automotive players centralizes data collection in one place for a truly consumer-centric buying experience. Personalize individual buyer journeys at scale so every customer feels special. Use our predictive capabilities to pinpoint which customer is ready to convert. Seize the moment with Machine Learning-recommended actions at the right time and place.

Watch CDPs In Action Read Automotive CX Report

Watch CDPs in action with automotive customers

Video: How Unified Customer Data Fuels Customer Retention and Revenue Growth [Day 1]

Distill All Your Data

As customers demand more personalized, relevant experiences, automakers have been investing heavily in digital transformation initiatives. While each provides valuable data, the data from each source is siloed and can be difficult to use in a meaningful way. With Treasure Data’s Customer Data Platform for automotive players, automakers can bring every piece of customer and prospect data into their digital ecosystem in a radically simplified way. This allows automakers to unify all online and offline data and maximize its value by creating rich customer profiles.

Data security, consent, and regulation is only getting more complex, particularly for leading brands.

Optimize Engagement

Surfacing audience insight and deploying decision modeling make customer profile data actionable for marketers. Treasure Data’s Customer Data Platform gives automotive makers the ability to use data across geographies and lifecycle stages, to optimize cross-channel engagement. This makes it simple for marketers to activate customer profiles across all endpoint systems (web, social, streaming, gaming) with no restrictions, at scale.

Data on its own isn’t actionable. Artificial intelligence (AI) and machine learning (ML) turn data into meaningful audience insight and impact decision modeling.

AI-driven Relevance

Data on its own isn’t actionable. Artificial intelligence (AI) and machine learning (ML) turn data into meaningful audience insight and influence decision modeling. Treasure Data uses ML and AI to inform marketers of their target customers’ personalized preferences. Automakers have a longer buying cycle than most industries, which makes it crucial that they use their data to predict who is most likely to click, buy, defect, or convert.

Security and Privacy

Customers’ data must be safeguarded. With Treasure Data’s Customer Data Platform for automotive companies, security and privacy are built into the solution to ensure all data is handled within your compliance parameters. This enables marketers to focus on their objective—reaching customers in the way they want, when they want—rather than getting bogged down by security and privacy protocols.