How to Run Google Shopping Campaigns Without Amazon Stealing Your Clicks

Amazon just ripped a massive hole in Google Shopping - and most advertisers don't know whether to celebrate or panic.

Amazon has been gradually decreasing its Google Shopping investment since mid-2024, officially pulling the plug as of late July 2025 - marking a turning point for Google's product advertising landscape.

Between July 21 and July 23, 2025, Amazon dropped from owning 60% of shopping ad impression share in the U.S. to absolutely nothing. Then came a twist: as of August 23, 2025, Amazon reactivated its Google Shopping Ads across all international markets - with one major exception: the U.S.

For DTC brands and mid-market retailers running Shopping campaigns, this created the most volatile auction environment in five years. Some brands saw ROAS jump 40%. Others fell into what Optmyzr researchers called "the volume trap" - more clicks, lower value. The lesson is stark: whether Amazon is in your auction or out of it, the brands that win on Google Shopping are the ones that stop reacting to Amazon and start building campaigns that make Amazon irrelevant. This is your playbook for doing exactly that.

The Amazon-Google Cold War: What Actually Happened and Why It Matters

Understanding the backstory isn't academic. It determines how you allocate budget right now.

Mike Ryan, Head of Ecommerce Insights at SMEC, called the shift "colossal," noting that Amazon serves as "a massive source of revenue for Google parent Alphabet Inc., and also serve as a tide that lifts all boats in terms of auction prices."

Amazon had accounted for nearly 30% of all Shopping ad impressions in the U.S. When that volume evaporated, the entire ecosystem shifted.

Amazon and Google, once bound by a symbiotic relationship in which Amazon funneled ad dollars into Google Search, are now veering toward open conflict as generative AI blurs the lines between ecommerce, advertising, and search. Amazon's exit wasn't a cost-cutting exercise. Tinuiti speculated the reason could be that Amazon is testing whether Google Shopping ads are "merely cannibalizing existing organic traffic," while others pointed to Amazon's Rufus AI shopping assistant and a strategic shift toward direct customer acquisition away from relying on Google's generative AI-powered funnels.

The result for advertisers was messy. Heidi Sturrock, consultant at OMG Commerce, observed a 25-30% drop in CPCs during the week after Amazon's initial retreat.

But "the cost relief lasted only a few days to a week."

Competitors like Target, Etsy, and Wayfair increased their activity in Google Shopping during Amazon's pause, flooding back in and filling the vacuum almost immediately. Here's the punchline. After Amazon pulled its ads from Google Shopping on July 23, clicks became cheaper and volumes rose, but the value of that traffic dropped.

Amazon wasn't just another bidder - it was shaping shopper expectations across categories. When Amazon left, those expectations didn't reset.

That finding changes everything about how you should think about competing.

Why "Amazon Is Gone" Doesn't Mean "Your ROAS Will Improve"

The knee-jerk response to Amazon's U.S. exit was predictable: scale budgets, grab the cheap impressions. Many brands did. Most regretted it.

Electronics was the clear winner - retailers like Best Buy and Apple matched Amazon's offer, driving +81% conversions and +7% ROAS. But in Home & Garden, Sporting Goods, Tools, and Apparel, brands fell into the volume trap - more clicks, but lower value and weaker ROAS.

The pattern reveals a hard truth: cheaper clicks only convert into profit when your entire buying experience can satisfy the shopper Amazon trained. Fast shipping. Clear return policies. Competitive pricing. Trust signals. If your product page can't deliver on those expectations, the incremental traffic you're buying is just noise with a price tag.

One agency client that previously struggled with Amazon taking up over 90% of shopping impression share saw an encouraging 40%+ ROAS increase - but only after a complete campaign restructure. Raw impression share gains without strategic adjustments are a trap.

The "Volume Trap" Checklist

Before you scale into open auction space, verify these five things:

• Your shipping promise appears in your feed.

Accurate shipping/returns can surface trust badges like "free & fast shipping" that push clicks and conversions over the line.

• Your pricing is competitive in Merchant Center's Price Competitiveness Report.

This free tool shows how your product prices compare to those of other sellers on Google Shopping.

• Your product pages convert cold traffic, not just retargeting audiences.

Ask: "Are we actually growing, or paying to capture purchases that were going to happen anyway?"

• You have at least 50+ reviews feeding into product ratings.

You need at least 50 reviews for your product ratings to appear in Google Shopping.

• You're tracking real ROAS on new traffic, not blended brand + non-brand numbers.

If three or more of those boxes are unchecked, stop chasing Amazon's leftover impressions. Fix your foundation first.

Feed Quality Is the New Competitive Moat

When Amazon dominated the Shopping carousel, many advertisers could get by with mediocre product feeds. The bar was low because Amazon absorbed most of the premium placements anyway. That excuse is gone.

Feed quality is especially critical as AI-powered campaign types like Performance Max rely heavily on it. Performance Max cannot compensate for poor data. If attributes are missing, inaccurate, or generic, automation learns slower and scales inefficiently.

A well-optimized feed with complete attributes, accurate GTINs, and keyword-rich titles can expand your impression share by 40-60% without changing your bids. That's not a marginal gain. That's the difference between page one and invisibility.

Title Engineering That Wins Auctions

Optimized product titles move more CTR than any other feed change. Full stop. Most titles are too generic.

The formula that works in 2026: Brand + Product Type + Key Attribute + Size/Color/Material. Lead with brand and model, then layer in attributes shoppers filter by. A title like "shoes" loses to "Nike Air Max 90 Running Shoes Black Size 10" every time. But don't try to optimize 500 products at once. The 80/20 applies here: optimize your top 50 products by revenue.

One agency client optimized their top 40 products - titles, images, product data. Thirty days later, CTR went from 0.2% to 0.8%. Same impressions. Four times more clicks.

Image Quality and the Agentic Commerce Shift

Clean, white-background product images remain the standard. White-background images with multiple angles boost CTR by 25%. But there's a deeper shift underway.

Google's AI reads your structured data feed, and if your attributes are incomplete or vague, it recommends your competitor instead. This is the new reality of agentic commerce. The AI agent needs to answer customer questions with confidence. Your feed is no longer just the input for a Shopping ad. It's the dataset that Google's AI uses to decide whether your product appears in AI Overviews, conversational search results, and - increasingly - checkout-enabled experiences.

Stores with 99.9% attribute completion are seeing 3-4x higher visibility in AI recommendations compared to stores with sparse data. Treat attribute completeness as your single most important KPI for feed health.

Custom Labels: The Lever Nobody Uses

Custom labels let you tag products however you want. Common uses include price buckets (under $20, $20-99, $100+), margin levels, bestsellers, and low inventory.

Segment products by margin, seasonality, or performance. This allows much more granular bid control and maximizes ROAS.

Here's the practical application: if Amazon has exited your category, you can use custom labels to identify products where you're now the price leader, set those into their own asset group in Performance Max, and bid more aggressively on exactly the SKUs where you have the best shot at conversion.

The Performance Max + Standard Shopping Hybrid

Debates about Performance Max vs. Standard Shopping miss the point. The winning strategy in 2026 uses both - deliberately.

Run a Performance Max campaign as your primary driver, supplemented by a Standard Shopping campaign targeting your highest-margin products and brand terms. This hybrid approach gives you AI-powered scale with control where it matters most.

As of October 2024, Google announced that PMax no longer takes priority over Shopping. While many advertisers welcomed this news, it comes with the trade-off that these campaign types can cause your bids to escalate. Running them in parallel without clear role separation means you're bidding against yourself.

How to Structure the Hybrid

Performance Max gets your catalog. Feed it your full product catalog with strong audience signals - customer match lists, website visitors, in-market segments. Campaigns with customer match signals achieve 30% lower CPA during the first 4 weeks. Start without a tROAS target for 2-4 weeks, then layer one in once you hit 30+ conversions. Standard Shopping gets your hero products. Some advertisers run Shopping campaigns for their core best-selling products where they want full control, and Performance Max for everything else to capture incremental volume. Use a lower tROAS target on Standard Shopping so it bids higher and wins more auctions for your most profitable SKUs. Brand exclusions are mandatory. Use brand exclusions in PMax to prevent your campaign from consuming budget on branded searches that belong in a dedicated brand campaign with lower target ROAS. Without this, PMax will happily feast on branded conversions and report inflated ROAS while your actual customer acquisition stalls.

The Consolidation Principle

Spreading conversion data across too many granular campaigns prevents the algorithm from learning effectively, often resulting in lower tROAS outcomes.

Five campaigns with 10 conversions each will always lose to one campaign with 50.

Resist the temptation to create a separate PMax campaign for every product category. Consolidate where you can. Split only when business logic demands it - different ROAS targets for different margin profiles, or separate new customer acquisition campaigns from general ones.

Reviews and Seller Ratings: The Trust Layer Amazon Can't Copy

Amazon's greatest weapon was never its ad budget. It was the implicit trust shoppers placed in the Amazon checkout experience. When your product appeared on Amazon's Shopping ad, shoppers assumed Prime shipping, easy returns, and a familiar purchase flow. Your standalone store doesn't carry that assumption. You fight that trust gap with reviews.

Research by Yotpo finds an average lift of 24% in CTR for Google Shopping ads that include product ratings and a 17% increase in CTR for text ads with seller ratings.

As per Google, showing seller ratings on your ads can boost click-through rate by 10%.

The mechanics are straightforward. To be eligible, you generally need at least 100 verified reviews in the last 12 months per country and a composite rating of 3.5 stars or higher. Work with a Google-approved review partner - Yotpo, Trustpilot, Reviews.io, or Shopper Approved - and automate post-purchase review requests. The compounding effect matters most. Increased CTR and conversions raise your Ad Rank. High Ad Rank leads to better ad positions on Google for a lower CPC. Your ads see a better return on investment as a result. Higher CTR lowers your effective cost per click. Lower CPC means higher ROAS on the same budget. The flywheel spins.

Pricing Strategy: Compete on Value, Not on Race-to-the-Bottom

Google Shopping is a side-by-side comparison engine. Your price is visible before anyone clicks. The shopper isn't scrolling pages to find you. They're glancing at you vs. them in seconds - who looks better, who's cheaper, who they trust more.

You don't need to be the cheapest. You need to be perceived as offering the best deal for the value. Three tactics that work: 1. Use Merchant Center's Price Competitiveness Report weekly. This tool offers daily price benchmark data per country and per product, helping merchants understand how their pricing compares to other merchants selling the same products. Know where you're above benchmark (and by how much) before you spend a dollar on bids. 2. Segment bidding by price position. By combining competitor price data with your product feed, you can use price factors to set more granular bids. Price factor refers to the relative price of your product compared to the market average. Bid higher on products where you're at or below benchmark. Reduce bids - or pause - on products where you're 20%+ above. Don't pay for clicks you can't convert. 3. Activate promotions in Merchant Center. Sale price annotations and promotion extensions create urgency and visual differentiation in the carousel. Promotions add-on activated and promos live where applicable is a line item on every serious Shopping optimization checklist. The brands that try to compete with Amazon on price alone will lose. Amazon's algorithm changes prices multiple times per day. Your advantage is brand, specificity, and an experience that makes price secondary.

Bridging the Gap: When Your Shoppers Buy on Amazon Anyway

Here's an uncomfortable reality: some of your Google Shopping traffic will research on Google and buy on Amazon. You can fight it or you can measure it.

Amazon Attribution is a free advertising and analytics measurement solution that provides insight into the on-Amazon impact of your marketing strategies across non-Amazon channels including search, social, display, video, and email.

If you sell on both your own site and Amazon, set up Attribution tags on your Google campaigns that point to Amazon. You can add Amazon Attribution tags to your Google ads to understand whether upper- or mid-funnel Google campaigns are assisting conversions that close on Amazon.

One significant limitation: Amazon Attribution doesn't send conversion data back to Google Ads in a way that Google can use for automated bidding. Since the conversion data is tracked outside of Google Ads, Google doesn't "see" those conversions directly.

Start with manual CPC bidding for full control while testing. Use the Attribution data to manually adjust bids based on which keywords and campaigns drive the most Amazon conversions. This two-platform approach isn't ideal. It's messy, and attribution will never be 1:1. But ignoring the Amazon conversion path means you're making budget decisions on incomplete data - and likely undervaluing your best campaigns.

Preparing for What's Next: Agentic Commerce and the AI Shopping Layer

The Google Shopping of 2027 won't look like the Google Shopping of 2025. The transformation is already underway.

In 2026, agentic commerce is no longer just a concept - it's reality. It will transform how we shop, from discovery to decision, while helping brands differentiate themselves.

Shoppers using Google's AI Mode in Search or the Gemini app will see buy buttons on eligible products from participating U.S. retailers. They can check out using payment details already saved in Google Wallet.

A report from Adobe Digital Insights found that AI-driven traffic to retail sites surged 693% year-over-year during the 2025 holiday season, with AI-referred visitors converting at higher rates. That number will only accelerate. What does this mean for your Shopping campaigns? Your product feed is becoming more than an advertising input - it's the data layer that AI agents use to decide whether to recommend you. Product data optimization isn't optional anymore. It's the price of admission to AI commerce. Every incomplete attribute is a lost sale. Every vague description is a customer who gets recommended to your competitor instead.

Brands that treat their feed like a static spreadsheet will get filtered out. Brands that treat it like a living, comprehensive product database - with precise availability states, granular shipping data, and conversational-ready attributes - will get surfaced. --- Amazon's relationship with Google Shopping will keep shifting. The company might re-enter the U.S. auction tomorrow or double down on its walled garden. As long as Amazon stays out of U.S. Google Shopping auctions, there is room for other retailers to capture underpriced Shopping traffic. That window could close any day. The brands that win aren't the ones reacting to Amazon's latest move. They're the ones building campaigns with defensible advantages: pristine product data, earned trust through reviews, strategic pricing intelligence, and hybrid campaign structures that give Google's AI the right signals while keeping human judgment where it matters. Stop worrying about whether Amazon is in your auction. Start building a Shopping presence that makes the question irrelevant.