Wayfair ran a two-week test on Pinterest's new Top of Search ads and saw a 237% increase in click-through rate compared to their standard campaigns. That number alone should trigger a channel-mix conversation in your next pipeline review. But the real story isn't the headline lift; it's the structural shift in where high-intent shoppers are forming purchase decisions before they ever type a branded query.
Pinterest has spent years positioning itself as a visual discovery platform. Now it's monetizing that position with ad formats designed to capture intent at the moment it crystallizes. For B2B marketers watching retail media networks proliferate and search costs climb, the mechanics here deserve a closer look.
96% Unbranded, 45% in the Top Ten
According to Pinterest's September 2025 announcement, 96% of top searches on the platform are unbranded. That's a fundamentally different intent signal than Google, where branded queries often dominate high-value categories. When someone searches "modern living room" or "fall wedding guest outfit" on Pinterest, they're not looking for a specific retailer. They're looking for the right product, and they're open to whoever shows it to them first.
The same announcement notes that 45% of clicks occur in the top ten search results. Pinterest's new Top of Search ads place advertiser products directly in those slots, plus Related Pins. Early beta testing showed a 29% higher CTR compared to standard campaigns and a 32% higher likelihood of attracting new clickers. The Wayfair result sits at the extreme end, but even the average lift suggests a meaningful efficiency gain for brands competing in visually driven categories.
Local Inventory Closes the Loop
The second piece of the puzzle is local inventory ads, now available across Pinterest's shopping markets. Retailers can display real-time pricing for in-stock items within a shopper's approximate store radius. Pinterest CRO Bill Watkins shared that Canadian Tire, the first Canadian retailer to test the format, reached interested shoppers 48% more efficiently than with standard shopping campaigns and saw a 16.5% higher in-store visit rate.
For marketers managing omnichannel attribution, that in-store visit metric matters. It's one thing to drive clicks; it's another to prove those clicks converted to foot traffic. If your CFO has been skeptical of social spend because the conversion path is murky, local inventory ads offer a tighter feedback loop.
Media Network Connect: First-Party Data Without the Fragmentation
The third development is Pinterest Media Network Connect, a self-service tool that lets media networks share first-party audiences, product catalogs, and conversion data with advertising partners directly inside Pinterest Ads Manager. Pinterest's newsroom names Kroger and Instacart as early partners.
This is Pinterest's play into the retail media network space, but with a twist: instead of forcing advertisers to manage campaigns across fragmented dashboards, it centralizes the workflow. For brands already buying media through Kroger Precision Marketing or Instacart Ads, the integration means you can layer those first-party purchase signals onto Pinterest's visual intent data without spinning up a separate campaign structure.
The practical implication is cleaner attribution and fewer manual reconciliations. If your RevOps team has been complaining about stitching together reports from five different retail media platforms, this is the kind of consolidation that reduces cycle time.
AI Tools for the Discovery Era
Pinterest didn't stop at ad placements. At Cannes 2026, the company announced Business Assistant, an AI collaborator in Ads Manager that combines advertiser business context with Pinterest's platform insights. The tool surfaces breakout trends visually, showing graphs and top-performing Pins rather than walls of text. If "clean beauty routine" searches are up 42% in a given week, Business Assistant can show the trend trajectory alongside real Pins leading the movement.
Pinterest also introduced Pinterest MCP (Model Context Protocol), an AI-native infrastructure that connects Pinterest to external copilots and agentic tools. Built on the Model Context Protocol standard, it provides secure access to campaign analytics and keyword insights, allowing partner AI systems to pull Pinterest-specific signals into existing workflows. For teams already using AI agents for media buying, this is the kind of interoperability that reduces context-switching.
The Channel-Mix Question
Here's the math that matters for your next budget conversation. Pinterest reports that 73% of respondents in an Adobe study said Pinterest's visual search results outperform traditional search, and 36% now start searches on Pinterest instead of traditional search engines. That's a behavioral shift, not a feature announcement.
If a third of your target audience is forming purchase intent on a platform where 96% of searches are unbranded, and you're still allocating the bulk of your search budget to Google where branded queries dominate, you're paying to capture demand you already own. The opportunity cost is the unbranded discovery moment you're ceding to competitors.
The counterargument is scale. Pinterest's monthly active users are a fraction of Google's search volume. But for categories where visual discovery drives the purchase journey (home, fashion, beauty, food, events), the intent quality may offset the volume gap. A 29% CTR lift on a smaller base can still outperform a larger base with lower engagement, depending on your CAC payback targets.
Pilot Design: Two Weeks, Three Metrics
If you're considering a test, here's a structure that will give you board-ready data:
Run Top of Search ads for two weeks against a control group using standard Pinterest campaigns. Measure CTR, cost per click, and new-to-brand clicker rate. If you have local inventory capability, add the in-store visit rate as a fourth metric.
Set your minimum detectable effect before you start. A 15% CTR lift is interesting; a 29% lift (Pinterest's reported average) changes your channel allocation. Know what threshold would trigger a budget shift, and design your sample size accordingly.
The risk is creative fatigue. Pinterest's visual-first environment rewards high-quality imagery. If your catalog assets were optimized for Google Shopping's thumbnail format, they may underperform in a context where users expect inspiration-grade visuals. Budget for creative iteration in your pilot scope.
What This Means for Q4 Planning
Pinterest's ad product evolution is a bet that visual search will capture an increasing share of high-intent shopping moments. The early performance data supports that bet, at least for categories where discovery is visual by nature.
For marketing leaders building Q4 plans, the question isn't whether Pinterest works. The question is whether your current channel mix reflects where your buyers are actually forming intent, or where they were forming intent three years ago. The 237% CTR lift Wayfair saw isn't a guarantee. But it's a signal worth testing against your own data, with your own products, in your own category. Model it, run the pilot, and let the numbers make the case.
