Data
Centralized Dealership Data
We liberate your data from siloed vendor systems, building custom data warehouses that give you total ownership and visibility over your business metrics.
What We Deliver
- DMS integration
- Historical data preservation
- Cross-platform analytics
- Predictive modeling
The Problem With Vendor-Owned Data
Every vendor you pay stores your data in their system — your DMS, CRM, website platform, call tracking provider, email platform, and ad accounts. When you switch vendors, you lose historical data. When you want to see the full picture, you're stitching together CSV exports from ten different logins. We build a data infrastructure that belongs to you, not your vendor.
- DMS integration: sold unit, service RO, and inventory data extracted from CDK, Reynolds, Dealertrack, DealerSocket, and Tekion
- CRM data pipeline: lead source, contact, and deal stage history from VinSolutions, Elead, and DealerSocket CRM
- Ad platform connections: Google Ads, Meta, and Microsoft Ads cost and performance data pulled via API
- Website analytics: GA4 event data, session data, and conversion events normalized for cross-channel reporting
- Call tracking: inbound call records from DNI providers pushed into the warehouse with source attribution
- Email and direct mail: campaign sends, opens, and match-back results stored for lifetime ROI analysis
What You Can Do With It
Once your data lives in one place with consistent definitions, you can answer questions that no individual vendor dashboard can answer.
- True cost-per-sold-unit by marketing channel, calculated from actual DMS sold records
- Lifetime customer value: track what a single buyer has spent across new and pre-owned purchases and service over 10 years
- Vendor performance comparison: apples-to-apples cost-per-lead and cost-per-sale across every channel simultaneously
- Inventory age correlation: does low marketing spend on a specific model correlate with higher days-in-stock?
- Predictive service: use RO history and mileage data to predict which customers are due for a major service need
- Market share modeling: cross-reference your sold unit data with garage data to estimate your share of market by model and geography
Data Ownership and Portability
We build warehouses in cloud environments you own and control — Google BigQuery, Amazon Redshift, Snowflake, or Azure Synapse, depending on your organization's existing infrastructure and preferences.
- You own the cloud account — we never hold data in a vendor-controlled system
- Full historical export available at any time in standard formats (Parquet, CSV, JSON)
- API access to your warehouse data for any downstream BI tool (Looker Studio, Tableau, Power BI)
- Documentation of all data models, transformations, and schema decisions
- Ongoing maintenance and schema updates as vendor APIs and DMS formats change
Built For
- Dealer groups with 5+ rooftops who need consolidated enterprise analytics
- Dealers who have switched DMS providers and lost historical transaction data
- Stores whose marketing team spends hours per week pulling manual vendor reports
- OEM regional offices that need aggregated, normalized dealer performance data
- Any operation where the Dealer Principal has no reliable answer to 'what is our true cost-per-sale by channel?'
A Simple Process
- 01
Current data source audit and schema mapping
- 02
Cloud infrastructure setup and permissions
- 03
Pipeline build and integration testing
- 04
Dashboard layer and reporting delivery
- 05
Team training and ongoing maintenance
This is not a vendor dashboard — it is your data infrastructure, built to outlast any single vendor relationship.