Client Case Study · HVAC Dealer Network Intelligence
Turning fragmented dealer data into growth
How Convergence Data's (CDS) Dealer Industry Insights (DII) program gave a leading North American HVAC manufacturer early visibility into loyalty erosion across its internal dealer network, and competitive risk across a landscape of 60,000 dealers spanning 30 HVAC brands.
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Convergence Data
Dealer Industry InsightsDealer LoyaltyCompetitive IntelligenceAI Data NormalizationMarket IntelligenceDealer Network Analytics
60,000Dealers analyzed
34,000Dealer websites scraped
30HVAC brands covered
5 yearsAnnual program since 2022
Customer
A leading North American HVAC manufacturer
Industry
HVAC Manufacturing & Distribution
Engagement
Dealer Industry Insights (DII) · Annual program since 2022, 5 years running
Coverage
Top 30 HVAC brands · United States & Canada
Customer Overview
Aggressive acquisition growth made dealer loyalty a strategic priority
A leading North American HVAC manufacturer has expanded aggressively through strategic acquisitions, absorbing major HVAC brands and regional distributors including its owned brands and independent distribution partners. As its distribution footprint grew across the U.S. and Canada, managing dealer and contractor loyalty and identifying competitive channel risk became a paramount strategic priority.
To establish early visibility into dealer network behavior and protect market share, the manufacturer partnered with Convergence Data to deploy its Dealer Industry Insights program, conducting an annual analysis of HVAC dealer locator data across 30 major brands. The initiative combined large-scale automated web scraping, AI-powered data normalization, and dealer website content analytics to uncover patterns in dealer affiliation, competitive overlap, and brand loyalty.
The goal: give the manufacturer data-driven insights to improve dealer retention, understand competitive threats, and optimize network strategy, shifting the organization from a reactive to a proactive dealer strategy.
Expanding dealer network
Growing competitive complexity
Proactive, data-led decisions
Business Challenges
Dealer loyalty is a market signal, not a permanent status
Loyalty combines affiliation with HVAC brand dealer programs and the brands a dealer actually shows on its own website. As the manufacturer's brand network grew, leadership faced several critical operational and channel questions.
Hidden channel risk
Dealers increasingly represent multiple HVAC brands. Sales figures can look steady even as key contractors quietly feature competitor lines or shift promotional focus.
Lack of early-warning signals
Traditional sales reporting only reflects dealer losses after revenue has already declined, leaving channel teams reactive rather than proactive.
Brand overlap and switching
Dealers registered on the manufacturer's own website were, at the same time, promoting competitor equipment through their digital channels.
Opportunistic dealer behavior
Identifying which dealers frequently switch brand allegiance versus those deeply aligned with the manufacturer required cross-brand, multi-year historical tracking.
Fragmented industry data
Dealer data across the HVAC industry is riddled with duplicate names, PO boxes, and inconsistent branding, making manual comparison impractical.
Analysis at impossible scale
Reviewing 60,000 dealers and 34,000 dealer websites by hand was never going to work at the scale the manufacturer needed.
Why It Matters
The downstream cost of fragmented dealer data
Without early signals, channel decisions are made after the outcome has already been decided.
Late awareness of dealer churn
Reactive competitive response
Untargeted marketing spend
Missed growth opportunities
Network decisions made on assumption
Business Value
From business need to business value
Business Need
Business Value
Improved dealer retention
Early identification of churn signals reduces the loss of key dealers
Increased competitive visibility
Clear, quantified understanding of where and how competitors are winning
Faster decision-making
Centralized dashboards and upcoming AI tools streamline access to insights
More effective targeting
Campaigns and outreach guided by real dealer behavior, not assumptions
Stronger network strategy
Data-backed decisions on expansion, recruitment, and channel investment
The Solution
The Dealer Industry Insights program
Convergence Data deployed its purpose-built HVAC Dealer Industry Insights solution, converting fragmented public dealer data into decision-ready market intelligence through a repeatable analytics pipeline.
1
Comprehensive Data Scraping & Normalization
Annual web scraping of dealer locator pages across the top 30 HVAC brands in the U.S. and Canada, normalized into a single structured dataset.
Normalized business pedigree and contact information
Geographic coordinates and territory mapping
Services provided by dealer
Commercial vs. residential flags
Brand program affiliations
NATE technician certifications
2
Historical Brand Association & Linkage
Multi-year data matching lets the manufacturer evaluate movement over time rather than reading a single snapshot.
Year-over-year movement
Brand additions and brand drops
Retention rates by dealer and territory
Contractor loyalty trends
3
Opportunistic Dealer Identification
Pinpoints flexible dealers who carry multiple brand affiliations or frequently pivot between manufacturers, so sales teams can prioritize outreach for increased retention.
Flexible dealers identified
Multi-brand contractor profiles
Frequent brand-pivot detection
Prioritized retention outreach lists
4
Targeted Campaign Enablement
Cross-references registered dealers who are simultaneously featuring competitor products, powering precise phone and direct-mail re-engagement campaigns.
Registered dealer vs. competitor-feature cross-reference
Phone campaign target lists
Direct-mail re-engagement segments
Dealer-level exports for campaign design
5
AI-Powered Data Normalization & Golden Record Creation
A machine learning driven engine resolves duplicate names, PO boxes, and inconsistent branding across tens of thousands of dealer records.
Machine learning match and merge
Duplicate name resolution
PO Box resolution
Dealer identity matching across brands
Clean enterprise dataset
6
Dealer Loyalty Grading
Dealers are categorized by their level of affinity to the manufacturer versus competitors, creating a consistent scoring framework leadership can act on.
Loyal dealers
Neutral dealers
Competitor-affiliated dealers
Exclusive vs. competitive loyalty view
Comparable scoring year over year
Key Findings
What the dealer data revealed
Loyalty erosion is now trackable
With loyalty grades assigned, the manufacturer has a mechanism to see where dealer loyalty is eroding and identify retention risk based on exclusive versus competitive loyalty.
The market is polarizing
Neutral dealers are increasingly aligning to brands. Dealers are being actively recruited into programs while brand ecosystems either strengthen or weaken, adding urgency to neutral-dealer outreach.
Competition is concentrated, not fragmented
Competitive overlap is dominated by a handful of brands, often aligning around product lines dealers can service across a subset of manufacturers.
Dealer digital presence is expanding
More dealers maintain active websites each year, though many still have no web presence beyond social media or local business listings.
Web presence is a shared growth lever
Helping dealers expand their web presence by providing manufacturer-created content gives dealers ready-to-publish assets while extending the manufacturer's brand onto their websites.
The Headline Result
Reactive
Before
Proactive
After
60,000 dealers and 34,000 dealer websites across 30 brands, refreshed every year into one decision-ready view.
How the Manufacturer Uses the Data
Six ways the data drives decisions
The analysis is not purely observational. It directly informs the manufacturer's operational and strategic decisions.
1. Targeted dealer retention strategies
Identify at-risk dealers showing early signs of competitor affiliation, prioritize outreach and incentives for high-risk segments, and track which brands dealers are switching to.
2. Competitive intelligence & positioning
See which brands are gaining share inside the manufacturer's own dealer base, benchmark competitor expansion and network restructuring, and treat sudden affiliation shifts as an early-warning system.
3. Data-driven sales & marketing campaigns
Use dealer-level exports for precision targeting, apply predictive analytics on historical brand associations, and run market share analysis by geography and dealer type.
4. Dealer performance benchmarking & incentive ROI
Benchmark loyalty and growth against industry averages, link loyalty-program data with brand-association data to test incentive spend, and evaluate brands carried per dealer.
5. Self-service analytics & decision enablement
Dashboards and maps are shared across the manufacturer for internal exploration, and an AI copilot will enable natural-language querying of dealer data.
Evaluate where the manufacturer is gaining or losing presence to guide recruitment, and anticipate demand shifts when a competitor loses significant dealer share.
Why Convergence Data
What makes this unique: the CDS advantage
End-to-end ownership
Data collection, normalization, and analytics are handled in one program with no hand-offs between vendors.
Deep HVAC intelligence
Industry-specific intelligence focused specifically on HVAC dealer networks, not generic channel data.
Continuous refresh cycle
Annual today, with planned 2026 enhancements already underway.
Toward self-service AI
A clear trajectory to AI-driven, self-service intelligence rather than static reporting.
Top 30 brands, North America
Coverage across the U.S. and Canada, producing what CDS considers the cleanest, most accurate dealer dataset in the industry.
Decision-ready delivery
Dashboards, maps, and exports put the answers directly in the hands of channel and marketing teams.
"This is no longer just data. It's becoming a core system of intelligence for managing the HVAC dealer ecosystem."
Jeremy GrubmanVice President, Strategy & Operations
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