On August 13, 2026, Pinterest launched 34 new housing-intent audience segments built in partnership with Zillow, giving ecommerce advertisers direct access to users actively browsing homes, planning renovations, and organizing moves. For home goods, furniture, decor, appliances, and bedding brands, this is one of the most precise purchase-intent targeting windows Pinterest has ever offered.
These 34 new segments put Zillow's first-party behavioral data directly into Pinterest ad targeting. Brands can now reach users who are not casually browsing decor ideas but are actively in the home-buying or home-transition pipeline, a phase that triggers some of the highest furniture and home goods purchase intent available in digital advertising. For brands in that category, the potential lift in audience relevance is substantial.
Pinterest has long been strong for home category inspiration, but inspiration audiences are not the same as intent audiences. The Zillow partnership changes that equation. Users browsing active home listings on Zillow, saving floor plans, or researching mortgage options are closer to purchase than someone pinning bedroom aesthetics. These 34 segments let advertisers layer Zillow's behavioral data on top of Pinterest's existing interest and keyword targeting.
Brands selling furniture, bedding, window treatments, kitchen appliances, storage solutions, or home decor should treat this as a meaningful new channel signal. Home movers spend an estimated $9,000 to $12,000 on furnishings and home goods in the 12 months surrounding a move, according to industry data. Access to in-move audiences at scale is a targeting capability that has historically required expensive partnerships or limited retail media inventory.
"Home goods brands have always known their best buyers are in transition. Pinterest and Zillow just handed them a direct line to those buyers while they're actively planning."
On July 29, 2026, Walmart Connect completed two major capability launches: full self-serve display advertising and negative keyword controls for Sponsored Products. These changes give brands on Walmart's platform the same campaign management autonomy that was previously only possible through a managed Walmart rep, removing a significant access and cost barrier for smaller and mid-market brands.
Before this launch, running display campaigns on Walmart Connect required either a Walmart-managed service relationship or a large enough media commitment to justify it. Self-serve display changes that calculus entirely. Brands can now build, launch, and optimize display campaigns on their own schedule, at their own budget thresholds, with the same placement access across Walmart.com and Walmart app properties.
The addition of negative keywords for Sponsored Products is equally important. Without negative keywords, Sponsored Products campaigns on Walmart were burning spend on irrelevant queries with no systematic way to block them. Now brands can apply the same exclusion discipline they use in Google and Amazon campaigns to their Walmart inventory. For 7-figure and 8-figure brands selling through Walmart.com, this closes one of the last major gaps between Walmart Connect and other mature retail media networks.
"Negative keywords sound like a small feature. But without them, every Sponsored Products campaign on Walmart was leaking spend to irrelevant terms. That's now fixable."
Effective approximately July 27, 2026, Amazon began requiring sellers to tag photorealistic AI-generated people in product images and A+ Content with XMP metadata containing the field "contains-synthetic-performer." The requirement was triggered by New York state law and applies across all Amazon marketplaces globally. Brands using AI-generated lifestyle imagery that includes realistic human models need to audit their existing content immediately.
The requirement is narrow but consequential. It targets photorealistic AI-generated people in product images and A+ Content specifically. If your brand uses AI tools to generate lifestyle images of people wearing, holding, or using your products, those images now require embedded XMP metadata tagging before they can be compliant on Amazon.
The technical implementation requires XMP metadata to be embedded in the image file itself, not added as an Amazon-side tag or caption. Most AI image generation tools do not add this metadata automatically. Brands need to audit their current product image libraries and A+ Content, identify any images where AI-generated people are present, and embed the required metadata before Amazon's enforcement ramps up.
The practical impact is real. 8-figure and 9-figure brands that have leaned into AI-generated lifestyle imagery at scale to reduce creative production costs may have hundreds of non-compliant images across their catalog. Getting ahead of enforcement is significantly easier than remediation under pressure.
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Pinterest's housing audiences, Walmart's self-serve capabilities, and Amazon's AI disclosure rule each require fast action to either capture new opportunity or stay compliant. CTC works with 7-figure to 9-figure ecommerce brands to navigate platform changes like these and turn them into measurable growth.
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