How to Read Your Shopping Waste Report

Total Shopping revenue divided by total Shopping spend. This is the blended number — it includes both your best-performing products and your worst zombies. The product-level analysis on page 2 breaks this apart to show where the ROAS is real and where it's propped up.

Products with 20+ clicks, zero units sold, and cost above the currency-adaptive threshold (avg CPC × 20). Each zombie is a product the algorithm continues to fund despite zero historical sales — consuming budget that could go to proven converters.

More products fail than succeed. The algorithm spreads budget across many non-performing products instead of concentrating on proven winners. This is a structural issue requiring product-level exclusions and feed optimization.

Three products generate most of your Shopping revenue. If any goes out of stock, gets a price increase, or faces new competition, your account performance drops dramatically overnight.

Each day, you spend more to generate the same revenue. CPCs may be rising from competition, or the algorithm is increasingly bidding on lower-converting products as it exhausts high-intent audiences.

Each product you exclude at the top recovers more budget than excluding ten products at the bottom. Work top-down.

The algorithm bid this product up because it converts, but the product's margin is too thin to absorb the ad cost. You lose money on every sale — and the algorithm will keep scaling it because it doesn't see COGS.

The product attracts relevant traffic but doesn't convert. This is typically a product page issue (bad images, unclear pricing, missing reviews) or a pricing competitiveness problem, not an ad targeting failure.

Fewer than 20% of your products with traffic have ever converted. A small number of products carry all conversion weight while the rest consume budget. This indicates either a feed quality issue or a catalog that is too broad for your ad budget.

Products without brand or category attributes get lower Shopping placement quality. Google can't match them to relevant queries.

You're paying significantly more per click than the market average. This could indicate aggressive bidding strategies, high-competition product categories, or poor ad/landing page quality driving up CPCs through low Quality Score equivalents.

Your products get shown but clicked less than average. Product images, titles, prices, or review ratings may be less compelling than competitors.

Both platforms agree: this product gets traffic but never sells. There is no hidden conversion path justifying continued spend.

Users add to cart but don't complete purchase. The product has demand but fails at checkout — investigate pricing, shipping costs, or checkout UX before excluding.

This product has spent more than 4x the zombie cost floor — far beyond the statistical minimum needed to confirm it doesn't sell. Every additional day of spend is pure waste.

These products make money after ad costs. More impressions = more sales = more profit. They are the foundation your Shopping strategy should be built around.

This category outperforms. Budget moved here from CUT categories improves overall ROAS without increasing total spend.

This category structurally underperforms. Reducing its budget and redirecting to BOOST categories is a zero-cost efficiency gain.

If zombie budget were redeployed at your current account ROAS, this is the additional revenue it would generate. The waste doesn't disappear — it transforms into revenue by funding products that actually sell.

More than 40% of Shopping spend goes to products that don't sell. This is beyond optimization — it's a catalog strategy problem requiring product feed restructuring, listing group redesign, and potentially product line decisions.