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Product profitability analytics

How should product profitability analytics be measured and interpreted?

AccessibleStrategicOrganisation2 min read
Contents

Product profitability analytics is the process for discovering profitability by individual product.

Product profitability analytics estimates the revenue, direct cost and appropriately assigned shared cost associated with each product or service. It helps a business see which offers create or consume economic value. The result is a decision model, not an objective fact: allocations, time horizon and interactions among products can change the conclusion.

When to use it

Use the analysis when launching, changing, repricing or retiring offers and review it at least annually where the portfolio is stable. It can answer:

  • Which products or services contribute profit?
  • Which consume more cost than the value they create?
  • How do products compare under consistent definitions?
  • Which apparent loss leaders support profitable customers or complementary sales?

Avoid labels such as “winner,” “dog” or “loss maker” until the full customer, capacity and portfolio effect is understood.

Origins

Product-profitability analysis comes from management accounting, contribution analysis and product portfolio management. Activity-based costing, developed to address distortions in broad overhead allocation, strengthened the method by tracing resource costs through activities and cost drivers to products, services and customers. No single person invented the broader analytical practice.

What it is

Revenue and gross margin rarely tell the whole story. A product may create returns, service, inventory, sales, marketing, technical support, warranty, logistics and compliance costs that sit elsewhere in the accounts. Conversely, a low-margin product may share a process efficiently or attract a valuable customer relationship.

Shared costs are the main challenge. Allocating advertising, facilities or customer service equally across products is simple but often misleading. Activity-based drivers can improve causality, yet some corporate costs remain genuinely common. Report direct contribution, avoidable cost and fully loaded profit separately so the decision does not depend on one arbitrary allocation.

Why it matters

The analysis can support pricing, promotion, design, sourcing, process improvement and portfolio investment. A consistently profitable product may deserve capacity or research, while a loss-making one may need redesign, repricing or retirement.

Do not act on the product in isolation. A supermarket found that a washing-up liquid appeared to lose money, but its buyers were among the highest-spending customers. Removing it could have moved an entire basket to a competitor. The relevant unit of analysis may therefore be the product, order, customer, channel or ecosystem.

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