Heavy Equipment
Dealer network intelligence for heavy equipment OEMs, from coverage gaps to performance analytics across construction, agricultural, and material handling machinery.
We provide dealer network analytics and performance intelligence for heavy equipment OEMs, covering construction equipment, agricultural machinery, and material handling. Clients have included JCB. Services include market studies, open point analysis, dealer PMA management, performance benchmarking, equipment value retention analysis, and B2B buyer analytics for commercial and agricultural equipment purchasers.
The Heavy Equipment Context
Heavy equipment dealers differ from motor vehicle dealers in several ways: longer sales cycles, application-specific product knowledge requirements, significant parts and service revenue that often exceeds new unit sales, and customer bases that are primarily commercial (fleets, contractors, farms, municipalities). The underlying dealer network questions are the same as any three-tier OEM-to-dealer model: where are coverage gaps, which dealers are underperforming, and how do you find and develop the next dealer point?
Historical Coverage vs. Current Demand
Equipment OEMs face a specific challenge in dealer network planning: their dealer geographies often reflect historical coverage rather than optimized placement against current commercial and agricultural demand. A dealer that made sense when placed 30 years ago may now sit in a declining market while a high-growth construction corridor nearby has inadequate coverage. Our market studies and open point analysis update dealer network strategy against current demand data rather than inherited history.
The B2B Analytics Advantage
Equipment buyers are businesses: contractors, farms, municipalities, rental fleets. That means consumer analytics translates directly to B2B analytics, using industry SIC codes, fleet size, equipment age, geographic concentration, and purchase history. We can model B2B buyer behavior, who's likely to be in the market for equipment, when, and what type, which produces more targeted prospect lists than demographic-only approaches.
Equipment Value Retention
Equipment value retention analysis examines how equipment values hold across model years, usage cycles, and market conditions. It gives OEMs and dealers intelligence on which units retain value best, when trade-in timing is optimal, and how used equipment availability affects new unit demand. This analysis informs dealer stocking decisions, warranty program design, and customer lifecycle marketing, where knowing when a customer's equipment is approaching replacement age creates a targeted outreach opportunity.
Client Experience
We have worked with JCB on dealer network analytics and coverage reporting, and engaged with Kubota on equipment analytics opportunities. These engagements reflect our application of spatial analytics, market modeling, and dealer performance benchmarking to the specific needs of construction and agricultural equipment OEMs managing multi-territory dealer networks.
Where We Help
Eight analytical services spanning network strategy, dealer performance, value retention, and B2B marketing for heavy equipment OEMs.
Market & Open Point Studies
We run market studies and open point analysis for equipment dealer geographies, ranking where demand outpaces current coverage.
Application Coverage Mapping
We map dealer coverage across construction, agriculture, and material handling applications to expose gaps by use case.
PMA & Territory Tracking
We manage primary market areas and track territory performance so OEMs can see how each dealer's region is producing.
Performance Benchmarking
We benchmark dealers against modeled market potential to separate true underperformers from those in constrained territories.
Value Retention & Parts Lifecycle
We analyze equipment value retention and the parts lifecycle to inform stocking, trade-in timing, and replacement outreach.
Fleet & Commercial Analytics
We deliver customer and prospect analytics for fleet and commercial equipment buyers using SIC, fleet, and ownership data.
Field Rep Audit Tools
We provide field rep audit and reporting tools for structured dealer operations assessment across the network.
B2B Direct Marketing
We develop B2B direct marketing programs that match message to buyer application, equipment age, and likely replacement timing.
Heavy Equipment Dealer Analytics FAQs
Dealer network analytics for heavy equipment OEMs is the use of geographic modeling, demand data, and performance benchmarking to help OEMs make better decisions about their dealer networks: where coverage gaps exist, which markets are underpenetrated, how individual dealers perform relative to their territory potential, and what the projected impact of network changes would be before they're executed. The methodology is the same as automotive dealer network analytics but applied to construction, agricultural, and material handling equipment buyer geographies and economics.
Last reviewed: June 2026
Make Your Next Network Decision with Data Behind It
From open point analysis and dealer performance to consumer targeting and CSI, we help commercial vehicle, powersports, RV, marine, and heavy equipment OEMs act on evidence instead of instinct. Every engagement starts with a free discovery conversation about your network, your data, and the decision in front of you.
Brands Tracked
Our national dealer tracking database monitors add/drop activity across 55+ motor vehicle brands.
Reports in IDEAS
Over 500 separate reports implemented in IDEAS.
Industries Served
Commercial vehicles, powersports, RV, marine, heavy equipment, and multi-location businesses.