A proven framework from the 1970s, reimagined for modern ecommerce advertising. Segment your product catalogue into four quadrants and bid smarterβnot harder.
The BCG Matrix (Boston Consulting Group Matrix) is a strategic planning tool developed in 1970 to help companies analyse their product portfolios. It categorizes products based on two dimensions:
How fast is demand for this product category growing?
How well are you capturing that demand compared to competitors?
For Google Ads, we translate this into search trend growth (demand) and ROAS/conversion performance (your share). This creates four distinct quadrants, each requiring a different bidding and budget strategy.
High Growth / High Share
Low Growth / High Share
High Growth / Low Share
Low Growth / Low Share
High Growth / High Share β Scale aggressively
Your best performers. High conversion rates, strong ROAS, and growing demand. These products deserve aggressive investment.
"A trending product with 15x ROAS that's gaining search volume month-over-month."
Low Growth / High Share β Maintain & harvest
Reliable profit generators. Consistent performance but limited growth potential. Maintain position and harvest profits efficiently.
"A bestselling staple product with steady 8x ROAS but flat search trends."
High Growth / Low Share β Test & evaluate
High potential but unproven. Growing demand but you're not yet capturing significant market share. Requires strategic investment to determine viability.
"A new product category showing 50% YoY search growth but only 3x ROAS currently."
Low Growth / Low Share β Minimize or exclude
Budget drains. Low demand, poor performance, and no growth trajectory. These products waste ad spend that could fund your winners.
"Outdated products with 1.5x ROAS and declining search interest."
To apply the BCG Matrix to your Google Ads campaigns, you need to analyse each product (or product category) across two dimensions:
Calculate the median for each metric across your catalogue. Products above median on both dimensions are Contenders. High performance but low growth = Cash Cows. And so on.
π‘ Pro Tip: DukesMatrix automates this entire processβpulling your Google Ads and Merchant Center data, calculating performance and growth scores, and automatically segmenting your products into BCG quadrants.
Standard PMax spreads budget across your entire catalogue. BCG Matrix forces intentional allocation based on actual potential.
Most catalogues have 30-50% of products that will never perform well. Stop funding them and reallocate to winners.
When you identify high-growth, high-performance products, you can confidently increase bids knowing the economics work.
Products move between quadrants as performance changes. Continuous segmentation keeps your strategy current.
DukesMatrix analyses your catalogue and automatically segments products into BCG quadrants, then injects those segments as Custom Labels in Merchant Center.