Your product feed should drive your campaigns. With Optmyzr, it can.

The challenge with dynamic catalogs is that most campaign structures drift out of sync with what the feed is actually doing.

Shopping Campaign Management addresses this by monitoring your feed for product additions, removals, and changes, and adjusting campaigns automatically. Combined with Smart Product Labeler keeping performance segments current, the campaign structure stays aligned with the catalog without manual rebuilds.

For accounts where the catalog changes frequently — seasonal products, large retail inventory, daily pricing updates — this is what makes the difference between a campaign structure that works this week and one that worked six months ago.

Yes, with the same depth on both sides. Shopping campaign creation, feed management, budget pacing, and automation rules all work across Google and Microsoft from one interface. For ecommerce categories where Microsoft Ads drives meaningful volume, having equivalent tooling on both platforms matters because the optimization decisions on each platform inform the other.

This comes up a lot from teams who've been burned by tools that mess with their primary feed.

Smart Product Labeler writes to a supplemental feed, which takes priority over the primary feed only for the fields it touches — your performance labels. Everything else in your primary feed stays untouched. Your feed syncs keep running normally, and the labels Optmyzr sets don't reset.

So if you've built segmentation logic around hero/sidekick/villain tiers or custom performance buckets, that structure holds across syncs instead of disappearing every time your feed updates.

The real question here is usually "can I trust automation to do what I'd do manually, without breaking something?"

The answer is yes. Shopping automations—which include the Rule Engine, Smart Product Labeler, and Shopping Campaign Management—all run through visible logic, not a black box.

You set the logic (pause products spending over $100 with zero conversions, adjust bids when ROAS drops below a threshold,label products based on performance, and automate creating campaign structures), and you can see exactly what each rule did and why. Nothing fires without a clear audit trail.

For agencies, the other big thing is that you can replicate a rule across your entire client book in one click instead of rebuilding the same logic account by account.

Yes. Amazon campaign management covers search query management, keyword, product target, and audience target management, bulk bid modifications, ACOS and ROAS tracking, rule-based automation, and historical performance data beyond Amazon's 60-day window.

The practical upside for ecommerce teams running both marketplace and search is when your Amazon ACOS spikes and your Google ROAS holds steady, you see that in one view and can shift budget in the same session instead of logging into two tools and comparing screenshots.

Feed management platforms focus on the upstream work of preparing and transforming raw product data. Optmyzr operates on the layer above: utilizing that data to build campaigns, segment by performance, pace budgets, and report across platforms.

Along with that, Optmyzr handles the automation layer on top: campaign building from feed data, performance-based product segmentation, budget pacing, cross-platform reporting, PMax visibility. Most ecommerce teams we work with end up consolidating two subscriptions into one, which means less cost and fewer places where things can fall out of sync.

Yes. Optmyzr lets you segment products into separate PMax campaigns by ROAS tier, category, or margin, so you can see what's working at the product level. You can also manage asset groups, audience signals, and budget pacing from inside the same hub.

One thing worth checking in your own account: Optmyzr's analysis of ecommerce accounts found that PMax frequently cannibalizes Search, including exact match, so checking for that in your account is a useful starting point for understanding what the campaign is actually doing.

Yes. Shopping Campaign Management syncs your Shopping campaign structure to live feed data, so new products land in the right campaigns and discontinued SKUs drop out without anyone touching them.

If you want to go further, Sidekick can build a full Shopping campaign structure from a single prompt using your live feed and account data. For teams managing large catalogs where campaign builds used to take a full day, this is usually the feature that changes the math on whether scaling is feasible without adding headcount.

Yes. Portfolio budget management groups your Google Ads, Microsoft Ads, Amazon Ads, and Meta Ads accounts into one cross-platform view with real-time pacing alerts at account and portfolio level. Automated reallocation moves budget across campaigns based on performance, proportional spend, or split logic.

When you’ve had a bad end-of-quarter or mid-BFCM moment where overspend surfaced too late to fix, this tool can help catch those problems while there's still time to act.

Feed problems are sneaky because a missing GTIN or a disapproved image can quietly pull products off Shopping without anyone noticing until impressions drop.

The Shopping Feed Audit surfaces these issues continuously in your main dashboard, groups them by type, and suggests AI-generated fixes for missing titles, descriptions, and product types. And you can also make bulk corrections right from within Optmyzr.

The short answer is that you stop pulling from three places and start pulling from one. Optmyzr's Custom Reporting combines cross-platform data into a single branded document on whatever schedule you set — weekly, monthly, post-campaign — with an AI-generated plain-language summary included.

Where it goes further than a standard reporting tool is at the product level. The Top Performers widget lets you include individual SKU performance in those same scheduled reports — item ID, product image, brand, ROAS, cost, conversions — for both Standard Shopping and PMax campaigns.

For agencies running multiple ecommerce accounts, the data is specific enough to make product-level decisions.