Car Manufacturers and Dealerships: How to Reconcile Data to Better Engage Your Customers 

Buying a vehicle is not a consumer act like any other. It’s a long, sometimes emotional, and financially demanding journey. However, for the marketing teams of car manufacturers, supporting the customer throughout this cycle is an obstacle course. Between fragmented data at media agencies, siloed information systems at dealerships, and data models of rare complexity, how do you deliver a truly seamless and personalized experience?

To understand these critical issues, Mathieu Lavedrine, Vice President of Customer & Technology at imagino, breaks down the technical and human challenges of customer engagement in the automotive sector, and explains how a Customer Engagement Platform (CEP) allows brands to regain control of their customer data.

The technical challenge of reconciling data

The journey of buying a car or vehicle almost always starts online and ends (often) at the dealership. The challenge is to connect these two worlds. Historically, manufacturers have come up against a wall: the initial browsing data is anonymous, sometimes managed by media agencies who keep it in their own clean rooms, while the final, identified data is captured by the dealer at the point of sale.

To succeed in this reconciliation, brands must confidently identify the pivotal moment of the journey: the use of the online vehicle builder or the booking of a test drive (for example). It is at this precise moment that the customer raises their hand and identifies themselves. A successful CEP must then be able to instantly link anonymous browsing history (e.g., the fact that the customer spent an hour comparing electric models) to the newly identified profile, in order to provide the dealer with the right context even before the customer visits the dealership.
“The break between digital and physical touchpoints is the biggest sticking point in the industry. Until a customer has booked a trial, they are often a digital ghost. The strength of a CEP is to capture this moment of conversion to identify the journey and align the dealership’s engagement history with the buyer’s true intentions.”

The unique complexity of the data model in the automotive sector

In traditional retail, the equation is simple, the flat model: a customer buys a product. In the automotive industry, the data model is fascinatingly complex. Who are we really talking to? To the person who signed the contract? To the main driver, who could be the partner or the child? The home as a whole? Or a fleet manager in a B2B context?

If the database isn’t structured to understand these nuances, marketing campaigns fall flat. In addition, the quality of the data relies heavily on the human factor in the dealership. If agents enter incorrect or incomplete information to go faster or bypass a process (during a special discount for example), the entire marketing automation chain comes to a stop. A modern CEP platform must have this ability to model the complexity of relationships while unifying data to avoid targeting errors.

The art of good timing and nurturing

The automotive sector is characterized by a very particular timeframe. The cycle of consideration (searching, comparing, budgeting) can be spread over several months or even a year. On the other hand, the conversion window, the moment when the prospect is ready to try and sign — is extremely short: it is a matter of days.

The role of marketing is to detect weak signals (an abandoned configuration, a financing simulation, etc.) in order to react in the moment, without drowning the prospect. Bombarding them with five emails in a row to get them to sign an order form when they’ve just looked at an online template is counterproductive.
“I advise skilfully alternating between educational nurturing during the long reflection phase (e.g. reassurance on electric range, comparison of finishes, alternative solutions), and commercial hyper-responsiveness (immediate invitation to a test drive) as soon as the conversion window opens”.

Contextual data reinvents upselling

Today, customer engagement is no longer limited to declarative data. It incorporates highly accurate contextual and behavioural data. Here are two particularly telling real cases:

●      LEZs (Low Emission Zones): By cross-referencing vehicle data (the Crit’Air sticker) with the customer’s geolocation, a brand can specifically target drivers who will soon be impacted by traffic restrictions, and push to offer them a transition to an electric or hybrid vehicle.

●      Leasing (LOA/LLD) and telemetry : With the rise of leasing (as illustrated by the data strategy of Toyota Financial Services, contract data is becoming as important as vehicle data. By combining the contract expiry date with the vehicle’s telemetry (the actual mileage sent by the connected car), brands can anticipate renewals and target a frequent driver to offer them a new contract even before they exceed their mileage package.

AI and unstructured data to hear the true voice of the customer

Until now, post-purchase actions often boiled down to an automated reminder for maintenance. But what if that customer had a bad service experience the week before? Sending him a happy email inviting him to come back to the dealership is the best way to lose him for good.

This is where Artificial Intelligence is a game-changer. Modern CEPs can now use AI to analyse unstructured data, such as free-text fields left behind by customer service or post-repair feedback.
“AI will allow us to read between the lines. By analysing the after-sales service notes, the platform instantly detects dissatisfaction or anger. Instead of triggering a generic campaign, the CEP blocks the sending and alerts an advisor to trigger a human catch-up action or a commercial gesture. That’s the real commitment.”

The strategic issue of sovereignty

All these strategies are based on a fundamental prerequisite: control of one’s data. However, in the automotive industry, the information includes sensitive financial data (borrowing capacity for a lease, for example), the composition of the household, and travel habits.

Locking oneself into the vague ecosystems of media agencies or entrusting this ultra-sensitive data to American SaaS solutions poses a real problem of sovereignty and security. imagino’s approach — a European solution, respectful of privacy by design, capable of adapting to its customers’ open architectures (without moving the data, Zero Copy approach) — allows manufacturers to regain total control of their information assets. This is a decisive asset for building a lasting relationship of trust with drivers.