In a recent LinkedIn post, Lee McCabe challenges a common misconception among investors and operators in the facilities management sector, arguing that true value lies not in owning the physical operations, but in owning and understanding the vast operational data these businesses generate. McCabe reframes the core asset from tangible services to intangible, yet powerful, data insights.
McCabe highlights the typical view of a facilities management company, which often focuses on the visible elements like cleaners, supervisors, contracts, and margins. However, he asserts that this surface-level understanding misses the deeper economic engine. According to McCabe, beneath the daily operations lies a wealth of data points that can unlock significant value.
“Underneath, the company is producing thousands of data points every day.”
The Data Underpinning Service Operations
McCabe elaborates on the types of data often overlooked, including building service times, route efficiencies, supervisor performance against budget, customer complaint patterns, supply usage, and the true cost of different contract types. He points out that many service businesses can report revenue by customer but struggle to determine the true contribution margin after accounting for all associated costs.
As Lee McCabe notes, this granular data is crucial for accurate financial assessment:
“Which contract types look profitable at the gross level but quietly bleed margin after travel, rework, absenteeism, and account management time.”
A Shift in Value Creation Thesis
The core of McCabe’s argument is a fundamental shift in perspective for business owners and investors. He suggests that if one still views a facilities management company solely as a cleaning business, the value creation plan will likely focus on traditional cost-saving measures like procurement and headcount reduction. However, if the perspective shifts to viewing it as a data business that employs janitors, the entire strategy transforms.
McCabe explains how this data-centric view impacts key business functions:
- Pricing Optimisation: Driven by route data.
- Scheduling Efficiency: Derived from utilisation patterns.
- Upsell Opportunities: Identified through usage analytics.
- Retention Risk: Assessed by complaint frequency, response times, and missed service windows.
He argues that focusing solely on labour as the primary cost center leads to a reactive squeeze that ultimately harms morale and service quality. In contrast, operators who leverage data can proactively adjust pricing, routing, staffing, and retention strategies.
“The operator who sees the data can change pricing, routing, staffing, retention, and margin structure.”
Broader Applicability Across Industries
McCabe extends this logic beyond facilities management, asserting that the same principle applies to many seemingly “dull” but highly valuable businesses. He lists examples such as pest control, waste management, HVAC, landscaping, security, and other field services. While the work itself may appear ordinary, the underlying data is not.
According to McCabe, the difference in outcome comes down to the lens through which the business is viewed:
“Same company. Different lens. Much better exit story.”
Ultimately, Lee McCabe’s insights on LinkedIn underscore the critical importance of data analytics in service-based industries. By reframing operational businesses as data-driven entities, leaders can uncover hidden value, optimize performance, and achieve a more robust financial outcome and a stronger exit strategy.
📝 About This Content
This article is based on insights shared by Lee McCabe on LinkedIn.
📅 Originally posted on September 7, 2026 | View original post on LinkedIn →