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    December 24, 20253 min readBy Chris Avery

    Why Cutting Products From Google Shopping Can Increase Revenue

    google-shoppingfeedprofitstrategy
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    Why Cutting Products From Google Shopping Can Increase Revenue

    The instinct in ecommerce is to maximise visibility. More products in Google Shopping means more chances to sell. More listings, more impressions, more revenue.

    Except it doesn't work that way.

    In many cases, reducing your Shopping feed—cutting products deliberately—actually increases total revenue. And it almost always increases profit.

    Why More Products Can Mean Less

    Budget Dilution

    Google Shopping budgets are finite. Every pound spent on a low-margin product is a pound not spent on a high-margin one. When 500 products compete for the same budget, the algorithm distributes spend across all of them—including products that will never return their advertising cost.

    Cutting low-performers concentrates budget on winners.

    Quality Score Drag

    Products with low CTR and poor conversion rates damage account-level quality signals. Google learns that your listings underperform, and this affects how it treats your entire account. The worst products make the best products more expensive.

    Auction Cannibalization

    Multiple products competing for the same query split your own impressions. Instead of one strong listing dominating, three weak ones divide attention. The shopper sees fragmented options from the same brand and clicks elsewhere.

    The Products That Should Go

    Low Margin, High Competition

    Products where your margin can't support competitive CPCs. If your contribution margin is £3 and the CPC is £1.20, you need every fourth click to convert—unlikely in competitive categories.

    High Return Rates

    Products that sell well but return at 40%+ are revenue illusions. The sale is counted, the return is not, and you've paid for the click and the logistics.

    Seasonally Irrelevant

    Winter coats in summer, holiday items in February. Keeping them active wastes impressions and trains the algorithm on irrelevant data.

    Variant Sprawl

    Five sizes and twelve colours of the same product, each listed separately. One or two hero variants would perform better than fragmented listings competing against each other.

    Duplicates and Near-Duplicates

    Slightly different SKUs that are essentially the same product. They split relevance signals and confuse both the algorithm and shoppers.

    The Maths of Subtraction

    Consider an account with 1,000 products:

    • Top 100 products: 70% of revenue, 90% of profit
    • Middle 400 products: 25% of revenue, 10% of profit
    • Bottom 500 products: 5% of revenue, negative profit

    Removing the bottom 500 products:

    • Frees 30% of budget for top performers
    • Removes negative profit drag
    • Improves account-level quality signals
    • Simplifies optimisation focus

    Revenue might dip 5%. Profit increases 25%. And often, revenue doesn't dip at all—the freed budget drives more sales through winners.

    How to Identify Cuts

    1. Calculate contribution margin per product (revenue minus COGS minus ad cost)
    2. Factor in return rates by product
    3. Identify products that haven't converted in 90 days
    4. Flag products below minimum margin threshold
    5. Review for variant consolidation opportunities

    This isn't about cutting randomly. It's about strategic reduction based on profit data.

    The Psychological Barrier

    Founders resist removing products because it feels like giving up opportunity. What if that product suddenly takes off? What if a competitor isn't advertising it?

    But opportunity cost is real. Every pound on a loser is a pound not on a winner. And products that haven't performed in six months rarely suddenly perform.


    We help brands identify which products should—and shouldn't—be in Shopping. Request a feed audit or see how this connects to our Shopping audit process.

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