Why 83% of Construction Companies Drive Less Than 23% of Employment

Why AI-Driven Targeting of the Profitable 10% for 25%+ Revenue Growth

Why Market share Growth Can be in Your Pocket

Drawing from proven data-driven strategies in competitive industries, and BiltData.ai’s deep dive into over 100 million transactions across construction equipment rentals, fleet ownership, and product support—one truth stands out: success in sales is not about casting the widest net; it’s about focusing on the prospects most likely to become loyal, profitable partners. Too often, companies chase the wrong clients—those with low staying power and minimal potential for long-term value, wasting resources on segments that yield diminishing returns. Instead, the key lies in identifying and replicating your high-value customers through precise, math-based targeting. Market share gains can truly be accessible, in your pocket when equipped with the right technology, tools and team. BiltData is one such team pushing the limits of using AI to bring unparalleled value to the construction equipment industry.

Having spent years in the trenches, and supported by the best industry minds such as Ron Slee, I can tell you: it is not magic, just math. Granted, math at mega-scale. And in today’s market, where data chaos can bury your best opportunities, transforming raw data into actionable insights starts with a simple choice—be contrarian, avoid the crowd’s tactics, and zero in on what really moves the needle.

“A staggering 81% of all businesses employ 10 or fewer people, yet these small operations account for less than 10% of the total workforce.”

Consider the broader U.S. business landscape: A staggering 81% of all businesses employ 10 or fewer people, yet these small businesses account for less than 10% of the total workforce and even less of gross economic output. This disparity highlights a common trap:  pursuing volume over value. In the construction sector, the pattern is even more pronounced: 83% of construction businesses have fewer than 20 employees, collectively employing less than 23% of the industry’s workforce. These small companies, while numerous, often lack the scale for consistent, high-margin equipment rentals, purchases, or product support. Chasing them can lead to fleeting transactions with little repeat business, eroding profitability over time. Large enterprises might seem like the “big fish,” but they represent a tiny fraction—just 0.3% of businesses employ 500 or more, yet they dominate 50%+ of employment. Mid-tier players, however, offer the sweet spot: They have growth potential and decision-making agility, making them ideal for cloning strategies.

Picture this for major earthmoving OEMs like Deere, Cat, Komatsu, Case, VOLVO, or Bobcat. Imagine having a unified view of customer and prospect data across your dealer network, linked to real-time project intel that tells you what the best, and future best ‘buyers’ purchase, rent and consume in parts and service. This allows for accurate retail forecasting and production planning by spotting repeat buyers, the 10% driving 80% of revenue and an even greater share of profitability. Shared predictive buyer intelligence aligns incentives, hyper-focusing on specific names for joint strategies. The roadmap: start with AI-driven predictive tools to identify these buyers, then collaborate on campaigns to grow each, name by name. Benefits include cutting inventory by 20-30% (saving millions in holding costs), gaining 10-15% market share through targeted pushes, and bolstering dealer support—potentially unlocking $1+ billion in industry-wide efficiency by smoothing demand forecasts.

For dealers, visualize a day where reps skip 5+ manual steps in tabulating data, use natural language chat to effortlessly be served prospects with spend details, scoring, contacts, maps, routes, and specs in a few clicks—tied to active projects. The guidepost: integrate this into daily workflows via chat-based queries, turning data work into quick action. BiltData.ai will do this for you. This can boost participation rates by 5X+, shortening sales cycles by 30-50% and adding $1M to $5M of high margin revenue per territory manager through faster closes and higher win rates.

When OEMs and dealers team up, envision a shared ecosystem where data flows seamlessly for hyper-focus on targets. Dealers handle efficiency on the ground, while OEMs refine forecasting—all through aligned goals like joint campaigns. The path: use unified platforms to merge insights, then execute targeted outreach. Value lies in amplified ROI, with complete visibility reducing supply chain waste by 25-40%—translating to billions saved industry-wide in excess inventory and misallocated capital.

These approaches complement existing systems like CRM and marketing automation by filling data gaps for one-to-one sales and marketing. For example, flag aged competitor fleets (5-year Cat loaders for Deere upgrades) or tailor pitches on efficiency versus owned equipment. Suggest rentals for project gaps or drive parts/service by age (10-year assets). The roadmap: trigger personalized outreach from CRM, starting with high score leads. For OEMs, this unifies datasets to support dealers; for salespeople, it means 7x faster action, cutting research time and boosting close rates by 20-30%.

Drawing inspiration from “AI-Driven Value Management” by Craig LeGrande and Venkat Lakshminarayanan, AI links OEMs, dealers, rental companies, and customers to boost margins while cutting costs. By automating analysis, BiltData answers “what value can I get, will I get it, did I get it?”  In construction equipment, this means transforming raw data into actionable insights, making complex data simple so teams find and win buyers quicker.

Real-world results are embedded in deep market and customer insights such as:

• The Philadelphia PA market, ranked #8 for 2030 spending at $47.7 billion, shows high-rises and infrastructure driving demand, with 200 MW data centers fueling tech growth.
• Merlo America’s Geo-Forecast highlights California and Texas at $162.2 billion and $95.5 billion of 2030 construction .
• One major earthmoving dealer solved dirty data, enabling reps to act 7x faster, boosting participation and adding millions in revenue.

In essence, it’s not about chasing every lead—it’s about selecting those with true potential. BiltData.ai transforms this complexity into clarity, delivering streamlined, multi-dimensional insights for rapid, confident decisions. We stand behind our outcomes: achieve the promised results or receive a full refund.

At BiltData.ai, we’ve empowered construction equipment OEMs, dealers, and rental companies to build this culture, enhancing decision-making through predictive buyer intelligence, actionable dashboards, and easy chat-driven tools that tie data to outcomes. Using a combination of data science and advanced technologies, BiltData reveals the most profitable sectors, the most promising prospects, and untapped territories. The era of prolonged data collection and analysis cycles is over. BiltData transforms complexity into clarity—delivering streamlined, multi-dimensional insights that empower rapid, confident decision-making. It’s not magic—just math.