Portfolio analysis

What it is about

Portfolio analysis ranks business units or assortment areas by two questions: how attractive is the market, and how strong is our own position in it. The combination yields a recommendation on whether an area should be expanded, held, selectively worked on or dropped.

The advantage over a pure revenue review is the second dimension. An area with high revenue in a shrinking market without own strength looks good in a revenue list and still absorbs resources that would do more elsewhere.

How the placement is derived

• Market appeal: Market growth, margin available in the market, price pressure, dependence on single buyers, regulatory requirements. The more of these deteriorate, the less attractive.
• Own strength: Market share, differentiation, cost position, customer retention, availability of supply, repeatability of the success.
• Weighting: Both axes consist of several traits that can differ in importance. The weighting is a decision, not a measurement.

Four basic stances follow from the combination. With high appeal and high own strength, invest. With high appeal and a weak position, test whether the gap can be closed, otherwise divest. With low appeal and high own strength, harvest, meaning keep the area efficient. With both low, exiting is recommended.

Applying it to an assortment

The same logic applies to product categories and is especially useful there. Instead of sorting by revenue, each category is judged on growth and on its own margin. A frequently overlooked case is the revenue driver with a weak margin in a growing market: before expanding it, the purchase prices belong renegotiated first.

A second use lies in the question of where the assortment ends. An area with many items, low margin and a high return rate is impossible to prove while revenue holds the attention. The analysis makes visible what the area costs in effort, and effort is a separate dimension, not just money.

Where the method stops

The assessment is rough. Market appeal can rarely be measured precisely, because reliable market data for niches is missing. The placement therefore becomes a reasoned judgement, not a calculation. Selling it as exact numerical precision creates an accuracy that does not exist.

Second, the analysis looks at areas in isolation. Overlaps stay invisible, for instance when an unprofitable area brings customers into a profitable one. Third, the result depends heavily on timing: an area that is weak today may carry the business in two years. The analysis does not replace assortment knowledge, it forces a conversation about where the line is drawn. That is precisely its greatest value.