For DTC brands that built their growth models around predictable Google Shopping CPCs, 2026 has been a reckoning. Google’s expanded rollout of its AI-curated Shopping feed — now surfacing dynamically assembled product cards across Search, Discover, and the redesigned Shopping tab — has upended the assumptions behind feed optimization, bid strategies, and CAC targets that most operators locked in during 2024 and 2025.
The core change: Google’s system is no longer simply matching product listings to keyword queries. It is now actively assembling “Shopping Collections” — algorithmically curated groupings of products from multiple merchants — and presenting them as editorial-style units above traditional sponsored listings. For top-of-funnel discovery, it’s a significant shift. For brands that previously owned category keywords with tightly managed Smart Shopping or Performance Max campaigns, the new format is eating into impression share they didn’t budget to lose.
What exactly is Google’s AI-curated Shopping feed, and how does it work?
Google’s Shopping Collections pull from a combination of merchant feed data, organic product signals, Google Merchant Center reviews, and behavioral data from signed-in users. The collections are not purely paid placements — organic product listings can appear inside them alongside sponsored ones. The algorithm weighs feed quality, return rate signals, review velocity, and price competitiveness when deciding which products populate a given collection.
According to Google’s public documentation updated in April 2026, merchants with Merchant Center accounts scoring above a certain feed health threshold — Google calls it the “Product Data Quality Score,” visible inside the Merchant Center dashboard — are given priority consideration for organic collection placement. That score factors in title completeness, GTIN accuracy, image quality signals, and shipping/returns data freshness.
For paid placements within collections, bidding still runs through Performance Max. But the creative assembly is now largely automated, with Google pulling images, pricing, and short descriptors directly from the feed rather than from separately uploaded creative assets.
How are DTC brands seeing their CAC and ROAS shift under the new format?
The numbers coming out of agencies managing Google Shopping budgets are uneven — and that unevenness is itself the story.
Katelyn Bourgoin, who consults on paid acquisition strategy for mid-market DTC brands in the home goods and apparel categories, says brands with strong feed hygiene and high review velocity on Google are actually seeing CAC improvements. “If your Merchant Center feed is clean — strong GTINs, fresh pricing data, good return policy populated — the collections format is working in your favor. We have one kitchenware client where collection placement dropped new customer CAC from $38 to $27 over six weeks. But a skincare brand with a thin feed and almost no Google reviews? Their impression share fell 34% and CAC shot past $90.”
“The collection format rewards brands that treated their Merchant Center feed like a marketing asset, not a backend chore. Most brands treated it like a backend chore.” — Katelyn Bourgoin, DTC acquisition consultant
On the paid side, agencies are reporting that Performance Max campaigns are behaving differently now that collection inventory has been added to the asset mix. Andrew Foxwell of Foxwell Digital, which manages Google and Meta budgets for roughly 60 DTC brands, noted in a recent client briefing that PMax campaigns are routing more spend toward Shopping collection placements — and that conversion rates on those placements vary widely by vertical.
“We’re seeing collection placements convert at 1.8x the rate of standard Shopping ads for home furnishing clients, but below standard rates for apparel. The intent signal is different. Collections are discovery-mode browsing. If your product is a considered purchase, it works. If it’s impulse, buyers are not clicking through to convert at the same rate.” — Andrew Foxwell, Foxwell Digital
Which feed optimization tactics are actually moving the needle right now?
Agency operators and in-house teams who are winning under the new format share a common playbook. The tactics that are generating measurable improvements include:
- Feed title reengineering for semantic relevance: Moving away from exact-match keyword stuffing in product titles toward natural-language descriptors that align with how Google’s AI interprets category context. Tools like DataFeedWatch and Feedonomics have both shipped new AI title suggestion modules in Q1 2026 that are being widely adopted.
- Google review acceleration: Enrolling in Google’s Customer Reviews program and adding the post-purchase survey opt-in to checkout flows. Brands with 200-plus Google Shopping reviews are getting meaningfully more organic collection placements than those below that threshold.
- Return policy completeness: Populating the full returns policy fields in Merchant Center — including return window, return shipping cost, and refund type — has emerged as a low-effort lever with outsized feed quality score impact.
- Supplemental feed layering: Using supplemental feeds to push custom labels that segment products by margin tier, inventory depth, and seasonal priority. This allows PMax campaigns to be structured so Google’s AI is not bidding equally across a catalog where unit economics vary significantly.
- Price competitiveness monitoring: Google’s Price Insights tool inside Merchant Center now flags specific SKUs where pricing is above the category benchmark. Several operators report that repricing flagged SKUs — even modestly — improved collection eligibility within 48 to 72 hours.
Is Performance Max still the right campaign structure for Shopping in 2026?
This is the question generating the most friction inside agency client calls right now. PMax remains the only campaign type with access to collection inventory, which makes it structurally necessary for brands that want full reach across Google’s Shopping surface. But the loss of keyword-level control continues to frustrate operators who built growth on granular Standard Shopping campaigns.
The emerging consensus among advanced practitioners is a hybrid architecture: PMax campaigns segmented by product margin tier and customer intent stage, with Standard Shopping campaigns running in parallel for the highest-revenue SKUs where impression share data and search term transparency still matter. Kirk Williams of Zato Marketing has been publicly documenting this approach, and his framework — which involves using PMax asset group segmentation combined with negative keyword lists fed from Standard Shopping search term reports — is being replicated across the independent agency community.
“PMax without a parallel Standard Shopping campaign running high-priority SKUs is flying blind. You need the search term data from Standard Shopping to inform what your PMax is actually matching to. They have to run together.” — Kirk Williams, Zato Marketing
The practical cost of the hybrid approach is budget complexity. For brands spending under $15,000 per month on Google Shopping, the management overhead of running parallel campaign structures may not be justified. Several smaller operators are consolidating to PMax-only with tightly controlled asset groups and accepting the reduced transparency as a cost of scale.
How does the Google Shopping shift affect the Meta-Google budget allocation debate?
For DTC brands that allocate paid acquisition budgets across both channels, the collection format change is prompting a reallocation conversation. The pattern emerging across agency portfolios: brands in high-consideration categories — furniture, fitness equipment, cookware, outdoor gear — are increasing Google Shopping allocation, particularly for mid-funnel collection placements. Brands in impulse or low-AOV categories are holding or reducing Google allocation and leaning harder into Meta’s Advantage+ Shopping Campaigns, where the intent bar is lower and creative variability still drives outsized returns.
The blended CAC picture is improving for operators who are moving budget dynamically. One Shopify apparel brand with roughly $4.2M in annual revenue — which asked not to be named — reported shifting 18% of its Google budget to Meta ASC after collection placement performance underwhelmed in its category, and saw overall new-customer CAC drop from $44 to $36 over a 90-day test period ending in May 2026.
Email and SMS retention economics are also becoming more important as Google Shopping CAC fluctuates. Operators leaning into Klaviyo flows for post-purchase LTV sequences — specifically the 30-day and 60-day reengagement windows — are effectively reducing the pressure on paid acquisition to carry the full growth burden. Brands with LTV-to-CAC ratios above 3:1 at the 180-day mark have the margin to absorb short-term CAC volatility from Shopping format changes; brands below 2:1 are in a structurally fragile position.
What should operators do in the next 30 days to prepare?
The brands absorbing the Google Shopping feed change with the least disruption share a few operational priorities that others can replicate quickly:
- Audit Merchant Center feed health scores by product category and prioritize fixing the top 20% of SKUs by revenue contribution first.
- Enroll in Google Customer Reviews and add the post-purchase survey widget to order confirmation pages before the end of Q2.
- Run a price competitiveness audit using the Price Insights tab in Merchant Center and identify SKUs where a modest price adjustment could restore collection eligibility.
- If spending above $15,000 per month on Google Shopping, implement the PMax-plus-Standard Shopping hybrid structure for top-revenue SKUs before Q3 budget cycles lock.
- Pull 90-day search term data from any remaining Standard Shopping campaigns and use it to build negative keyword lists for PMax asset groups.
The operators who built clean, data-rich Merchant Center feeds and invested in Google review infrastructure are the accidental winners of a format change they didn’t engineer for. For everyone else, the next 60 days are a catch-up window before Q3 seasonality makes the gap significantly more expensive to close.
