Discover how Ternair Clicks uncovers business opportunities in the automotive industry.
From Online Interest to Personalized Offers
How do you know which car a potential customer is interested in, even before they contact a salesperson? And how do you use that information to make a relevant offer at the right time?
For car dealerships, the online behavior of website visitors offers valuable insights. Every search query, used car viewed, or favorite selected reveals something about a potential buyer’s preferences and interests. Yet this information often goes unused in the sales process.
Ternair Clicks provides insight into this behavior and translates it into concrete opportunities for personalized communication and commercial follow-up. By combining website interactions with existing customer and vehicle data, a more complete picture of visitors’ interests and needs emerges.
This allows car dealerships to communicate in a more targeted way, send relevant offers, and identify sales opportunities at times when customers are actively interested.
From Click Behavior to Valuable Customer Insights
A major challenge in the automotive industry is identifying buying interest. Potential customers often do extensive online research before visiting a showroom or requesting a test drive.
During this search, they look at different models, compare prices and specifications, and save cars that interest them as favorites. These interactions provide valuable information, but aren't always used for personalized follow-up.
Ternair Clicks allows you to track various user interactions on the website. These include selecting search filters, viewing new or used cars, adding vehicles to favorites, and repeatedly visiting specific vehicle pages.
Combining this data with existing customer information creates a more comprehensive customer profile. Not only does it reveal which models a person is interested in, but also the price range and specifications they are looking for.
These insights can then be used to better tailor communications to customers' individual interests.
In this way, online behavior forms the basis for a more personalized and data-driven approach to marketing and sales.
From Price Declines to a Competitive Offering
A concrete example of this approach is identifying price drops on used cars that a customer has previously viewed.
Suppose a potential buyer views a specific used car multiple times. By doing so, the customer is showing interest but has not yet taken any further action.
If the price of this used car subsequently drops, this information can be combined with the previously recorded browsing behavior. By linking this data to current vehicle information, it becomes clear which used cars have changed in price.
This creates an opportunity to personally inform interested customers about the price reduction.
Instead of a general offer, the customer receives information about a car in which they have previously expressed interest. In addition, comparable models that match the customer's preferences may be offered.
This process takes into account factors such as the desired price range, the type of car, the specifications, and any previous models driven.
For example, a customer who regularly views a certain type of used car within a specific price range can receive a personalized offer for the vehicle they viewed, along with comparable alternatives.
In this way, a generic sales message is replaced by communication that aligns with the recipient's current interests.
