I discovered that the Google Merchant Center is currently examining a problem that affects Feeds. This issue has been flagged on their public status dashboard, raising concerns for those of us who rely on these Feeds for product listings and Shopping ad performance.
Here’s what you need to know:
Incident began: Feb. 4, 2026, at 14:00 UTC.
Latest update (Feb. 20, 14:43 UTC): “We’re investigating reports of an issue with Feeds. We will provide more information shortly.”
Status: Service disruption
The notification you see is on the Merchant Center Status Dashboard, which closely monitors the availability of Merchant Center services.
Why is this important? Feeds are the backbone of product listings for Shopping ads and free listings. Any issues here can affect product approvals, updates, or their visibility in campaigns tied to retail inventory.
What to keep an eye on: Google has yet to clarify the extent, cause, or expected resolution timeline. If you’re experiencing any delay or disapproval in feed processing, I suggest keeping a close watch on the dashboard for updates.
The takeaway: Any disruption in feed processing can lead to a decline in ecommerce performance. As retail advertisers, we should continually check diagnostics and campaign delivery until we get more information.
I find Reddit’s new pilot program fascinating. They’re using AI to transform our beloved community recommendations into interactive, shoppable product carousels within search results.
What’s happening: Right now, a select group of U.S.-based folks, including myself, might notice these exciting product carousels popping up in search results whenever our queries suggest a buying intent, like when searching for “best noise-canceling headphones” or “top budget laptops.”
These carousels conveniently appear right at the bottom of the search results, showcasing pricing, images, and direct links to retailers. The coolest part? These products are derived from actual Reddit posts and comments rather than existing ad inventories.
For those of us interested in consumer electronics, Reddit also collects data from specific Dynamic Product Ads (DPA) partner catalogs.
How it works: The AI cleverly identifies queries with purchase intent, scans through relevant Reddit discussions for any product mentions, and arranges them into tidy, shoppable cards. When a card catches my attention, I can simply tap it to gain more information or be redirected to a retailer.
Why we care: These shopping carousels are a real game-changer for advertisers. They bring products to the spotlight right when consumers, like me, are contemplating a purchase and seeking peer approval. Unlike typical ads, here these products merge with Reddit’s trusted community vibe, making them seem more like genuine recommendations than mere advertisements.
For brands already involved in Dynamic Product Ads on Reddit, this development offers a seamless pipeline from community buzz directly to action.
Between the lines: Reddit is really onto something big here, doing what many competitors have struggled to achieve—using organic, community-driven content as the foundation for a shopping experience, rather than depending solely on targeted advertising.
This approach is ingenious because consumers, myself included, are becoming warier of sponsored content. Reddit’s value relies on authentic community engagement, and by integrating that into a shopping feature, it elevates their credibility beyond traditional retail media networks.
The big picture: Retail media is booming, and platforms catering to audiences with high purchase intent are in a race to claim their portion of the pie. With Reddit’s increasing search traffic, especially after partnering with Google, this development seems like the perfect next step.
The bottom line: Reddit is testing how it can turn search intent directly into transactions, making it smoother for users like me to transition from recommendations to purchase, all while staying within the community context that fosters trust.
I’ve discovered that Microsoft Advertising is rolling out a captivating new feature that could transform how we see Shopping campaigns in Bing search results. These multi-image ads offer eCommerce brands a unique opportunity to showcase their products more vividly, potentially capturing shopper attention even before they click.
What’s new. Now, I can include multiple product images in a single Shopping ad, allowing shoppers to preview various angles, styles, or variations directly within the search results. This approach could be a game-changer for advertisers.
The design is crafted to enhance visual engagement and provide more informative ads. It allows consumers like myself to quickly compare options without the need to leave the results page.
How it works:
I can upload additional images using the optional additional_image_link attribute in the product feed.
There is an option to include up to 10 images, which I can separate by commas.
The images will appear alongside pricing and retailer information in Shopping results.
Why we care. From my perspective, multi-image ads have the potential to boost engagement and purchase intent by offering a more comprehensive visual representation of a product. More imagery can highlight features, colors, and design elements that a single image might miss.
Discovery. This feature was initially noticed by digital marketer Arpan Banerjee, who shared it on LinkedIn.
The bottom line. For retailers like you and me, multi-image Shopping ads provide more creative freedom and give shoppers a richer context immediately. This shift has the potential to enhance ad performance and reshape how products are presented in search results.
As a new advertiser, I’ve often found myself overwhelmed by Google’s Performance Max recommendations.
While well-intentioned, following them blindly can reduce my control and insight, leaving me to wonder if I’m truly making the best strategic decisions.
Initially, my journey with Performance Max felt promising. Google Ads reps offered support, but I soon realized their alignment was more with Google’s interests than my own business objectives.
It’s important to remember that they don’t have insight into my specific needs or business goals. They encourage the adoption of new features that might not align with my early-stage needs.
Understanding Google Reps’ Role
Google Ads reps are not strategic consultants for my business. Their main role is to promote Google’s products and services.
Your margins or cash flow are not their concerns. Their focus isn’t on whether my ads are profitable, but on pushing newer ad types and increasing my ad spend.
Therefore, understanding their incentives helps in taking their advice with the right perspective.
Performance Max provides efficiency and scale for Google. However, for a new advertiser, this can lead to unclear insights and misaligned strategies.
Performance Max: Who Does it Really Benefit?
Performance Max often benefits Google more than it benefits me as the advertiser.
Google controls how my budget is allocated across various channels, offering limited visibility into how these funds drive results. For me, this can be challenging, especially when new and needing clear insights.
This model monetizes Google’s ecosystem efficiently, but leaves me with diluted budgets and unpredictable costs.
Understanding these dynamics helps ensure my campaign choices are aligned with my actual business needs.
Rethinking Google’s ‘Best Practices’
What Google labels as ‘best practices’ might not fit my specific business strategy.
Recommendations often stem from aggregated data rather than being tailored for my unique circumstance, creating a gap between my needs and their blanket solutions.
For budding advertisers like myself, what’s globally optimal might not serve my business nuances and constraints.
The Value of Earning Automation
I’ve learned that automation success is something to be earned with data, not started with blindly.
Shopping Ads have provided me with high-intent, controllable data—essential for testing and learning.
This approach allows a clearer understanding of what truly works, paving the way for informed decisions.
When done right, these strategies lay a solid foundation for future automation without risking budget waste.
A Lesson in Practicality: Reviewing a Case Study
Consider a chocolatier’s experience—a new Google Ads account, $3,000 spent, but only one purchase. Incorrect conversion tracking led to misleading data.
After reworking the setup to a Shopping campaign, results began improving quickly, informing future campaigns with real performance data.
Why Shopping Ads Offer Insight
Focused on real behaviors and intent, Shopping Ads give granular control and transparency, which is crucial when each marketing dollar counts.
This control allows me to experiment deliberately, understanding and scaling the strategies that work.
Adopting a Hybrid Approach
A mix of Standard Shopping and selective Performance Max can be powerful once a data foundation is set.
This balance ensures sustainable growth by protecting proven strategies while allowing room for innovation driven by Performance Max.
Strategizing for Long-term Success
Starting small with clear data-driven campaigns creates a launchpad for successful automation.
By validating products and refining acquisition costs through Shopping Ads, I set the stage for Performance Max to elevate proven strategies.
It’s all about disciplined, strategic advertising that safeguards my investment and fuels long-term growth.
