How to Improve My Google Shopping Performance? Looking for Recommendations

SEO
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I’ve been spending the last few weeks trying to improve the performance of my Google Shopping campaigns, and I wanted to share the steps I’ve taken so far in case it helps others. I’m also hoping to get some recommendations from merchants who have found reliable ways to scale Shopping without wasting budget.

1. Cleaning and Enriching Product Data

One thing that became clear quickly is that Google Shopping is extremely sensitive to missing or incomplete product information.
I’ve been working on:

  • Making titles clearer and more structured

  • Adding missing attributes (color, material, size, etc.)

  • Improving descriptions so they focus on key features

  • Updating GTINs where needed

This alone helped reduce disapprovals and slightly improved impressions.

2. Improving Feed Quality With Automation

Since doing all of this manually takes forever, I’ve been testing tools that help automate parts of the optimization process. One that I’ve tried recently is AdflowCommerce, mostly because it auto-fills missing attributes and suggests improvements for titles and descriptions. I’m still evaluating it, but it did speed up the cleanup phase.

If anyone has experience with other feed-optimization tools (or thoughts on this one), I’d love to hear them.

3. Segmenting Products More Intentionally

I’ve started experimenting with segmenting based on:

  • Best sellers

  • High-margin products

  • Seasonal or trending items

  • Products with strong click-through but low conversion

This makes budget control easier, and I can scale the winners without inflating costs on weak performers.

4. Reworking Campaign Structure

I’ve been testing a few structures:

  • Single-level Shopping with smart bidding

  • Multiple tiers separated by intent

  • Product group splits based on labels

Still figuring out what performs best, so recommendations here are welcome.

5. Improving Creative & Merchandising Outside the Feed

I learned that even small things help:

  • Better product photos

  • More consistent naming conventions

  • Cleaner variants and attributes

  • Making sure product pages mirror what appears in the feed

Google seems to reward clarity.

Looking for Advice

If you’ve been able to consistently improve Google Shopping results, I’d really appreciate hearing:

  • Which feed or automation tools worked best for you

  • What campaign structure you prefer

  • Any tips on improving ROAS without raising bids

  • How you keep products organized as catalogs grow

Always happy to learn from other merchants or marketers. Thanks in advance to anyone who shares insights.

1 Like
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**Dear Marketwarrior

  1. Feed Optimization – You’re on the Right Track**
    You’re absolutely right feed quality is everything. Beyond GTINs and attributes, try:

  • Keyword enrichment in titles (using search term reports from high-performing queries).

  • Custom labels for performance tiers (e.g., margin level, conversion rate bracket). This helps you segment smartly later.

  • Test Merchant Center feed rules + a supplemental feed to make quick edits without touching your main source data.

AdflowCommerce is a decent tool you can also check DataFeedWatch, Productsup, or Feedonomics if you ever want more control or bulk rules.

2. Campaign Structure – Keep It Simple, But Intentional
Most accounts perform best when structure matches buying intent:

  • High-intent terms → Standard Shopping with manual CPC or target ROAS.

  • Low-intent / broad reach → Performance Max or Smart Shopping (if still available).

  • Label and split based on profitability, not price. Scaling high-margin products gives more breathing room.

3. Bidding and ROAS Control
Instead of increasing bids, focus on feed and audience signals:

  • Add customer lists and remarketing signals to Performance Max.

  • Use negative keywords via account-level settings if low-quality queries creep in.

  • Test tROAS and tCPA side by side for different product groups — sometimes tCPA wins for newer or seasonal items.

4. Creative & Page Syncing
Spot on about visuals Google loves consistency. A small extra tip: ensure your product schema markup mirrors feed info (price, availability, image). It can help with trust and CTR.

5. Scaling Without Waste
Once performance stabilizes:

  • Duplicate top-performing campaigns and isolate best sellers with a higher budget.

  • Exclude products that burn spend with no conversions (use “item ID” performance reports weekly).

  • Regularly refresh creative (titles, main images) for seasonality even subtle updates improve CTR.

You’re already doing 80% of what separates average campaigns from strong ones. The last 20% comes from disciplined testing one change at a time, tracked weekly.

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Search first it’s in the rules
Respect others time, and yours by using existing collective efforts.
Post SINGULAR scope questions not a dump that will just solicit bot responses.
https://community.shopify.com/search?q=google+shopping+improve and other keywords in a basic question, e.g. tips best

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Using optimization tools are great, but I would recommend that you verify all data. As I asume they are AI generated, so these can be incorrect.

My recommendation is to look at all other attributes that you can improve, here is a full list: Follow Merchant Center guidelines to keep your account approved - Google Merchant Center Help

Once you have fully improved the data feed source, go to the next step which is your google ads account. When you have completed the data feed, feel free to post again with what you have tried in Google ads, what works vs what doesn’t work, and we can provide our opinions.

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hi. will try to answer all questions:

  1. you are right. missing or invalid attribute values can affect feed approval and campaign performance. in addition to what you mentioned, i would say go through google’s product data specifications page and ensure that you follow all the guidelines properly. this means adding all the required attributes, and those optional fields that enrich your product data, help google better understand your items and business, and makes the life of shopper easier.
  2. i use AdNabu. helps to ai optimize feeds, and sync all product data updates to gmc instantly. offers many other useful features that simplify feed management for me.
  3. correct. segmenting is wise. and i am assuming you are doing it with the help of custom labels (0-4). do ensure that you use them for filtering reporting and bidding too on different groups of products.
  4. here, i would say there will never be a one-size-fits-all answer. but if i pick one from the three you shared, multiple tiers separated by intent is usually the most reliable for control and growth.
  5. yes, error-free clean data makes it easier for google’s systems to process and understand your product data clearly. and that clarity is further used by it to match items to the right user queries.