Google Shopping Ads Best Practices Guide (2025)

Google Shopping Ads in 2025 are still one of the most profitable ad formats for e-commerce, but success depends on structured campaigns, precise bidding, and strategic use of automation. New AI tools, competitor insights, and privacy-driven targeting require advertisers to adjust their playbooks.

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Quick Answers — Google Shopping Ads 2025

What’s new in Google Shopping Ads 2025

  • Performance Max 2.0 with deeper audience segmentation and better bid targeting.
  • Merchant Center Next enabling real-time feed syncing and error reduction.
  • Competitor Price Intelligence for live market pricing benchmarks.
  • Stronger first-party data tools for remarketing without third-party cookies.

Best bidding strategies

  • Target ROAS for maximizing revenue when historical data is available.
  • Maximize Conversions for scaling proven high-CTR products.
  • Manual CPC for testing niche or experimental products with full control.

Top optimization levers

  • Segment campaigns by profit margin, demand, and seasonality.
  • Use customer reviews and seller ratings to increase CTR and trust.
  • Automate bidding and feed updates, but maintain manual oversight.

Common mistakes to avoid

  • Lumping all products into one campaign.
  • Ignoring competitor price data when setting bids.
  • Not responding to negative reviews or letting them go unaddressed.

Pro tip

  • Pair dynamic remarketing with segmented audiences to boost CTR and ROAS.

Best Practice #1 — Structure Campaigns by Intent and Profit

Well-structured campaigns outperform generic setups. Avoid dumping all SKUs into one Performance Max campaign.

  • Segment by margin, demand, and seasonality.
  • Match bidding strategies to objectives:
StrategyBest ForWatch Out For
Manual CPCTesting niche productsTime-intensive
Enhanced CPCPartial AI controlLess precision
Target ROASMaximizing revenueNeeds history
Maximize ClicksDriving site trafficMay waste spend
Maximize ConversionsHigh-CTR productsCan overspend
Portfolio BiddingMulti-campaign managementSetup complexity

If you’re deciding between Performance Max and Standard Shopping, see Q2 in the FAQ (#q2).

Best Practice #2 — Benchmark Competitors Beyond Auction Insights

Winning in Shopping Ads means knowing both share of voice and market pricing.

  • Use Auction Insights to track impression share.
  • Use Competitor Price Intelligence to identify price gaps.
  • Check Performance Max Search Term Reports to spot emerging queries.
  • Supplement with tools like BrightBid, Semrush, and Ahrefs.

For competitor price tracking workflows, see Q5 in the FAQ (#q5).

Best Practice #3 — Treat Reviews as CTR and Conversion Assets

Product reviews influence both click-through rate and conversion rate.

  • Offer incentives for verified reviews.
  • Request reviews within 2–3 days post-purchase.
  • Enroll in Google Customer Reviews for seller ratings.
  • Respond to negative reviews promptly.
  • Use authentic customer photos in ads.

For review impact details, see Q3 in the FAQ (#q3).

Best Practice #4 — Automate Selectively and Keep Oversight

AI bidding and automation can scale campaigns but require controls.

  • Enable Automatic Item Updates, but verify key SKUs manually.
  • Use Target ROAS or Max Conversion Value with budget caps.
  • Deploy Dynamic Remarketing with product-level personalization.
  • Set up scripts or rules to pause poor performers and reallocate spend.

For a full manual vs. automated bidding comparison, see Q4 in the FAQ (#q4).

Case Study — Stålhästen’s AI-Driven Growth

CEO Martin Sjögren: “The Bidbrain solution gives us both control and results in one of our most important channels.”

FAQ — Google Shopping Ads in 2025

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