About the Client
The client delivers privacy-centric customer identity and intent solutions for automotive dealers. It specializes in transforming fragmented automotive dealership CRM and DMS records into unified profiles, customer identities, and high-intent audiences. Using a privacy-safe identity graph and advanced intent models, the company resolves each record using trusted data sources to generate accurate propensity scores and activation-ready audiences.
With seamless integrations across CRMs, CDPs, DSPs, and call center workflows, the client empowers dealers and partners to drive smarter engagement and measurable outcomes. Every solution is designed with privacy and compliance, which enables dealers to maximize customer value.
Business Challenges
Our client faced major challenges in helping dealers improve their sales performance. Dealers were struggling with low-quality leads and were spending more time and effort in identifying potential prospects and converting them into customers. This slowed down the sales cycle and reduced overall efficiency.
The fragmented and incomplete customer records made it difficult for dealers to gain a clear view of their buyers. Our client helped dealers with enriching records and delivering high-quality leads enhanced with attributes such as location, buyer intent, and more. In order to enhance these capabilities, our client came up with the requirement to implement Snowflake to gain centralized automotive dealership CRM and DMS data, to eliminate fragmented records, and enable secure data sharing.
Kasmo’s Solution
To meet the client’s needs, our team implemented a tailored solution to unify and enhance dealer data and provide insights for sales teams-
Integrated into Snowflake
Our team consolidated fragmented dealer CRM and DMS data into the Snowflake platform. This created a single, centralized platform that allowed for secure storage, management, and analysis of all customer records.
Improved Customer Insights
To provide in-depth customer insights, we applied advanced identity resolution and enrichment techniques through Audience Acuity. This process eliminated duplicate or inconsistent records and helped in providing a deeper understanding of buyer behavior and intent.
Secure Data Sharing
Implemented secure data-sharing workflows with Audience Acuity and Five By Five, ensuring that sensitive customer information is shared safely across partners while maintaining strict compliance and privacy regulations.
Customer Segmentation
Developed machine learning models to segment customers based on location, inventory, and buying preferences. This provided actionable insights, helping dealers to identify high-value prospects and improve sales.
Results Achieved
Dealer Onboarding: Using our solution, the client onboarded 25 dealers into their data system, enabling unified and streamlined data management.
Data Quality Improvement: Our client achieved 100% improvement in data quality by implementing reusable data pipelines and applying quality rules.
Resource Optimization: Optimized Snowflake resources by 30% to maximize performance, efficiency, and cost-effectiveness.
