Model · 6 min read
BCG Growth-Share Matrix
The BCG Growth-Share Matrix is a portfolio model, popularised by Bruce Henderson of the Boston Consulting Group in 1970, that places each product by market growth and relative market share.
Summarised from Bruce Henderson, Boston Consulting Group, Martin Reeves, Sandy Moose and Thijs Venema · View sources ↓At a glance
- Use this when
- Leadership is deciding where to invest, hold or cut across a portfolio of products or business units.
- What you will work towards
- A portfolio map that shows which products fund growth and which need a decision.
- Bring to the reading
- A specific decision from your work and the customer evidence you have so far.
What it is
A two-by-two portfolio model that places every product or business unit a company runs on two axes: how fast its market is growing, and how large its share of that market is relative to the biggest competitor. Bruce Henderson, founder of the Boston Consulting Group, popularised it in a 1970 essay called "The Product Portfolio"; BCG credits its colleague Alan Zakon with first sketching the grid. The four quadrants carry memorable names. Stars have high share in a fast-growing market and need investment to keep pace. Cash cows have high share in a slow-growing market and generate more cash than they need. Question marks have low share in a fast-growing market and need a decision: invest to win, or exit. Dogs (Henderson's original word was "pets") have low share in a slow market and rarely justify fresh investment. The core idea is that a healthy portfolio balances cash generators against cash consumers, so the money from today's cows funds tomorrow's stars.
When to use it
- Annual or multi-year planning where leadership must split a fixed budget across three or more products, and each product team argues for more.
- A board or investor asks "where is the growth coming from?" and the answer needs one picture rather than a spreadsheet per product.
- A product has quietly become a dog (flat market, falling share) but still absorbs launch, campaign and enablement effort out of habit.
- Before an acquisition or a sunset decision, to see how the change rebalances the portfolio's cash flow.
- PMM capacity planning across products, to argue for concentrating launch and campaign effort where the portfolio strategy says growth should come from.
PMM's role
The portfolio decision belongs to the CEO, CFO or a corporate strategy team; at a single-product start-up the matrix rarely applies at all. PMM contributes the inputs it is best placed to produce: market growth estimates from its market sizing work, relative share from competitive intelligence and win/loss data, and the customer evidence that explains why a question mark could or could not become a star. PMM also turns the decision into practice, aligning launch tiers, messaging investment and sales enablement with the quadrant each product sits in. At a scaled company with a strategy function, PMM supplies evidence to that team; at a growth-stage company with two or three products, the most senior PMM often builds the first version of the matrix for the CEO because nobody else holds the market data.
How to read it
- Vertical axis: market growth rate. Use the annual growth of the market the product serves, not the product's own revenue growth. A commonly used cut-off is 10% a year; set a threshold that suits your industry and state it on the chart.
- Horizontal axis: relative market share. Your share divided by the largest competitor's share. A value above 1.0 means you lead the market. Henderson's logic was that share leaders enjoy lower unit costs through experience effects, so share predicts cash generation.
- Bubble size: revenue. Drawing each product as a bubble sized by revenue shows at a glance where the business's money actually sits.
- Movement over time. Products travel: question marks become stars or dogs, stars become cows as their market matures. BCG's own 2014 review found that businesses now move between quadrants roughly twice as fast as they did in the early 1990s, so a matrix is a snapshot, not a verdict.
How to apply it
- List the units to plot. Choose one level of analysis (products, product lines or business units) and stay at it. Mixing a whole division with a single feature makes the chart meaningless.
- Define each unit's market. Write a one-line market definition for each product. This is the step most likely to distort the result, because a narrow definition inflates share and a broad one deflates it.
- Estimate market growth. Use your market sizing work or analyst data for each market's annual growth rate. Record the source beside each number.
- Estimate relative share. Divide your share by the leader's share, using competitive intelligence, analyst estimates or win-rate data where public figures are missing. Flag low-confidence estimates rather than hiding them.
- Plot and size the bubbles. Place each unit, size it by revenue, and mark the growth and share thresholds you used.
- Write a one-line strategy per quadrant. Build or invest for stars, harvest and defend cows, decide (invest or exit) for question marks, and divest or run for cash for dogs. Each question mark needs a named decision date.
- Translate the decision into PMM plans. Map launch tiers, campaign budget and enablement effort to the quadrant strategy, and show leadership where current PMM effort contradicts it.
Example
Fictional HR software company Peoplegrid sells three products: a payroll suite with 31% market share against a leader at 24% (relative share 1.3) in a market growing 4% a year; a recruiting module with relative share 0.4 in a market growing 18%; and a legacy time-clock product with relative share 0.2 in a market shrinking 2% a year. The senior PMM built the matrix for the CEO's annual plan using market sizing data and 60 recent win/loss interviews. It showed payroll as a cash cow, recruiting as a question mark and the time clock as a dog. The awkward finding was that the time clock still took 25% of PMM launch capacity because of two loud enterprise customers. Leadership set recruiting a 12-month target of reaching 0.7 relative share, moved the time clock to maintenance with a migration offer, and cut its PMM capacity to 5%. Recruiting's win rate rose from 19% to 27% over the next three quarters as launch and enablement effort followed the strategy.
Pitfalls
- Defining the market to flatter the product. Calling payroll "payroll for 200 to 500 person firms in the Midlands" can turn any product into a star. Recovery: use one market definition per product, agreed with finance before anyone plots, and keep it the same each year so movement means something.
- Treating the quadrant as destiny. Labelling a product a dog often becomes self-fulfilling once investment stops, even when a repositioning could revive it. Recovery: before divesting, ask PMM whether a different segment or positioning would change the growth or share picture, and test it cheaply.
- Using share as a proxy for profit in markets where it no longer is. In software, network effects and switching costs matter more than the experience curve Henderson relied on. Recovery: plot margin or customer lifetime value alongside share, and say so on the chart.
How the ideas connect
Choose where to go next
Make it useful
Bring it back to your work.
Name one decision this guide could help you make. Write down the evidence you need, the output you would produce, and how you would know it was useful.
Check your understanding
Practise applying BCG Growth-Share Matrix in five short scenarios.
5 practical scenarios. Choose an answer, explore the reasoning, and revisit the guide whenever you need.
Sources
- Bruce Henderson, "The Product Portfolio", BCG Perspectives (1970), the original essay introducing stars, cash cows, question marks and pets.
- Boston Consulting Group, "What Is the Growth Share Matrix?", BCG history page, which credits Alan Zakon with the first sketch and Henderson with popularising it.
- Martin Reeves, Sandy Moose & Thijs Venema, "BCG Classics Revisited: The Growth Share Matrix", BCG (2014), which documents faster movement between quadrants and the weaker link between share and performance.
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