The Challenge

Delivering personalized sales experiences in real-time.

Dealer sales associates needed accurate and comprehensive data on potential customers to create personalized sales experiences. The challenge was to deliver this data in real-time to take advantage of a buyer's immediate intent. Additionally, the data had to be presented in a simple, consumable manner within existing dealer systems to ensure ease of use and effectiveness.

The Solution

Integrating data and deploying real-time analytics.

Credera addressed the challenge by integrating first- and third-party data sources to generate insights for each lead. Machine learning models were built and deployed in Azure Databricks to analyze and score each lead. A centralized source of truth and distribution system were established in Salesforce Sales Cloud to deliver the enriched and scored leads to dealers. This ensured the data was accurate, timely, and easily accessible within the dealers' existing systems.

The Results

Enhanced lead conversion and dealer collaboration.

As a result of this initiative, the luxury automaker experienced the following:

• Enriched lead data: Leads were enriched with demographic, digital behavior, and prior ownership data to provide a comprehensive view of potential customers.

• Clear lead prioritization: The machine learning models provided data-driven lead prioritization, helping dealers focus on high-potential leads.

• Rapid lead delivery: Leads were delivered to dealers in under 10 minutes, ensuring timely follow-up and engagement with potential buyers.

• Increased dealer collaboration: The centralized system and enriched data fostered greater collaboration and trust within the dealer network.