How I managed a $1.9B global hardware supplies portfolio
Every business that sells hardware and charges for consumables — or that has recurring revenue tied to an installed base — runs on the same four revenue drivers. I owned three of them directly and was the primary source of analytical assumptions that fed financial planning and demand forecasting across a global organization.
Product and company specifics have been abstracted to protect confidentiality. The framework, logic, and economic relationships reflect the actual work.
The four revenue drivers
Installed base
The population of active hardware units in the market generating recurring revenue opportunity. Size, growth rate, and segment mix determine the ceiling on everything else.
What I owned: Tracking platform mix across 7 printer price tiers, multiple generations, and 5 global regions — understanding which segments were growing and what that meant for supplies revenue over time.
Monitored, not directly owned
Usage
How much customers actually use the product — and therefore how often they repurchase. Higher usage means faster replacement cycles and more revenue per customer per year.
What I owned: Deriving monthly page volume, black/color mix, and high-yield cartridge mix from internal printer telemetry. Usage assumptions fed directly into revenue models and demand planning.
Directly owned
Pricing
The price architecture across product configurations, segments, and regions. In hardware-plus-consumables businesses, pricing decisions involve the hardware and the consumable together — not independently.
What I owned: Pricing assumptions across 4 business models, 5 regions, and multiple product generations — including the shift from transactional to subscription pricing in developed markets and profit-upfront models in emerging markets.
Directly owned
Aftermarket share
The share of recurring purchases captured by the OEM vs. cheaper alternatives — third-party, refilled, or counterfeit. This is the primary revenue erosion variable in any category with substitutes.
What I owned: Tracking OEM share decay via telemetry, understanding the three phases of aftermarket entry (refill → remanufactured → counterfeit), and modeling the revenue recovery case for each new product launch.
Directly owned
This framework translates directly across industries. Any business where an upfront customer acquisition leads to recurring revenue runs on these same four drivers.
TelecomSubscribers → usage (data/calls) → ARPU → churn to competitors
Wearables / fashionDevice owners → wear frequency → repeat purchase → lost wallet to competitors
The decision this powered — should we launch a new product generation?
Every few years the business faced a core question: is it worth investing in a new product generation, or is the existing one still performing? I built the assumption framework that answered this — combining all four drivers into a financial comparison across every region and business model.
Is it worth it? — financial case
A new generation resets aftermarket share to 100% OEM at launch — the single largest revenue lever. It also brings usage changes and pricing adjustments. The question: does the financial uplift over the product lifetime justify the investment?
Is it possible? — operational case
Launch timing, regional ramp capacity, design constraints, and demand planning all had to align. I worked with operations and product teams on feasibility, and with the planning team to ensure assumptions were reflected in forecasts.
Do nothing — prior generation, late cycle
OEM share (late-cycle, slow decline phase)94%
Annual supplies revenue / printer$63
Printer hardware margin / yr−$2
Annual unit contribution$61
3-year total / printer$182
Aftermarket trajectoryContinuing slow decline
Launch new generation recommended
OEM share — yr 1 blended avgresets to 100% at launch, decays over 6 qtrs99% ↑ launch reset
Annual supplies revenue / printer$100 +$37
Printer hardware margin / yr−$2
Annual unit contribution$98 +61%
3-year total / printer$295 +$113
Aftermarket trajectoryReset + security uplift
The transferable skill: structuring a complex, multi-variable business problem into a clear decision framework — identifying the key drivers, quantifying the tradeoffs, and presenting a recommendation with enough rigor that finance, operations, and executive leadership can act on it. The hardware and cartridges are the context. The framework is the capability.
Explore the full assumption model
See how pricing, yield, cartridge mix, and aftermarket share interact across regions and business models — the actual analytical framework behind the numbers above.