Using data to capitalize on industry transformation
COVID-19 accelerated changes in how people shop. With consumers now driving the vehicle purchasing cycle, this company needed to develop an enhanced virtual shopping experience. In fact, it had become critical for customer satisfaction and dealership continuity across remote and hybrid retail environments.
The company turned to NTT DATA’s decision-driven analytics framework, Decision Architecture, to learn:
- What information consumers need to transact online, and at what stage in the sales process
- Whether systems were operating effectively and driving sales for dealers
- If dealers were satisfied with their investment in these innovative tools
- Interprets large amounts of customer data to make decisions
- Helps dealers attract and engage more buyers
- Equips dealers to serve clients better and manage their inventory based on customer preferences
- Increases dealer subscriptions to the company’s services
Using Decision Architecture, the team developed tools that provide two types of diagnostics — internal diagnostics for the company to optimize its offering, and external diagnostics that its dealers can use to analyze and adjust various levers at their disposal.
For example, are there enhancements the company can make to improve the dealers’ online experience on the site and boost their return on investment? Is spending for marketing/advertising effectively driving traffic to the site? Once people are on the site, are they converting into customers? If they drop out before purchasing, where does that occur? Is it a problem with inventory, with credit approvals, with other parts of the transaction?
With powerful web analytics at their disposal, the company and its dealer network can easily interpret large amounts of customer data — and that’s good for both parties. Armed with insight, the company can make adjustments that better serve its dealer customers and increase subscriptions to its services.
In turn, dealers can extract more value from their investment by managing their inventory based on a better understanding of customer preferences. They can also attract and engage more buyers through a desirable online experience that capitalizes on the growing demand for click-to-buy purchasing.
A provider of digital automotive marketplace services uses advanced web analytics to optimize offerings and support its dealer network.