Strategic brief 02Retail · Q2 2026

Where Retail Demand Forms in 2026

Why PMAX hides the upstream work that decides the basket — and what to fund when the dashboard can’t see it.

I’m a…

Chris Gardner — Digital Marketing Consultant, USA TODAY NETWORK | LOCALiQ. Founder, Signostic. Windsor, ON. Published 21 April 2026 · Reading time ~9 min · About · LinkedIn · Email

The argument

The PMAX work is real, the feed work is real, the ROAS chart is real, and they are all happening downstream of the question that actually decides the basket: does the buyer remember your brand when the buying moment fires. Retail demand forms upstream of the search auction now — in social discovery, AI shopping answers, peer reviews, and the seasonal and life-stage cues that bring the category to mind in the first place. PMAX is a harvest machine. The brand work is what gives it something to harvest.

The position

PMAX is the harvest. It is not the field.

For roughly five years, the dominant model of retail digital marketing has been a feed-and-bid question: load the product catalog, optimise the asset groups, let Performance Max distribute the spend, watch the ROAS line, and adjust. Every operator-grade discipline in the category — including most of what Signostic audits on the retail side — lives inside that question. The work is necessary. It is also incomplete.

The decision a buyer makes when they click on a PMAX ad for running shoes Windsor has, in most cases, already been narrowed to a list of two or three brands they were willing to consider before the ad served. That narrowing did not happen inside the auction. It happened weeks or days earlier, in moments most retail dashboards cannot see — a TikTok product review, a recommendation surfaced inside ChatGPT or Perplexity, a friend’s text message, a Reddit thread on r/runningshoegeeks, a YouTube explainer, a Pinterest board. PMAX does not create demand. It captures the demand someone else’s brand work created.

This is not a new framework. Byron Sharp and Jenni Romaniuk have made the case for fifteen years that brand growth is driven by mental availability — the probability that a brand comes to mind in a buying situation — far more than by any single touchpoint at the moment of purchase. What is new in retail specifically is the opacity of the channel that now dominates SMB and mid-market budget. PMAX bundles Search, Shopping, Display, YouTube, Discover, and Gmail into a single black-box bid stream and reports back as if the conversion was entirely its own. It is not. Most of the conversions PMAX claims would have happened at a lower CPA — or not at all — depending on whether the upstream brand work was funded.

The mechanism

Category entry points, then the basket.

The framework most useful here is the Category Entry Point (CEP), introduced by Jenni Romaniuk in Building Distinctive Brand Assets and elaborated in Better Brand Health. A CEP is the cue that brings a category to mind — a moment, a need, a circumstance, a season. Buyers do not think about your retail category most days. They think about it when a CEP fires.

For an SMB and mid-market retail buyer, the CEP set is denser and more frequent than insurance — and that density is precisely why the brand half of the work compounds so hard for retail when it is done well:

Seasonal trigger Back-to-school, holiday, summer, year-end clearance. The single highest-volume CEP cluster for most general retail and apparel. Each season opens a predictable shopping window that brands either prepare for in the preceding quarter or compete blind in the moment.

Life event New home, new baby, new job, wedding, graduation. Each opens a durable category-entry moment for furniture, apparel, home goods, gifts, and electronics — almost always preceded by 2–6 weeks of research before the basket-decision is made.

Occasion trigger Birthday, anniversary, holiday gift, friend’s visit. Discrete, high-frequency, mid-funnel CEPs that drive most discretionary retail. The brand that is mentally available before the occasion wins the basket; the brand that arrives via PMAX after the buyer has already chosen pays the convenience premium.

Discovery trigger Social feed, AI shopping answer, peer recommendation, influencer mention. The fastest-growing CEP class for retail in 2026. A product surfaced on TikTok, a Pinterest pin, an AI engine answer, or a Reddit thread routinely opens a category-entry moment that did not exist 24 hours earlier.

Replenishment trigger Running out, breaking, growing out of, season-changing. The most under-instrumented CEP for SMB retail. Replenishment buyers default to the brand they remember — not the brand that is currently bidding. Mental availability is the entire competitive moat at the replenishment moment.

Each of these CEPs creates a research moment. The research moment is where the basket-decision is formed. The PMAX auction sits at the end of that research moment, not at the beginning of it — and the ROAS chart cannot see the difference.

The mediation layer

Where the research moment actually happens.

The research moment in retail in 2026 is not a single channel. It is a fragmented sequence that increasingly bypasses traditional shopping search at the front end. A typical research moment for a buyer planning a new-home furnishing budget looks something like this:

The buyer signs the offer on a new home in March, closing in June. Three weeks later, an Instagram Reel about modular sofas surfaces in her feed and she saves it. The following week, she asks ChatGPT “What should I know before buying a sofa under $2,000?” The AI engine returns a paragraph answer naming three brands and one independent reviewer site. She clicks the reviewer site, reads a comparison piece, and bookmarks two of the named brands. She then goes to Reddit’s r/HomeImprovement to cross-check — two of the three brands the AI surfaced come up positively in the thread; the third is mentioned twice as “avoid.” By the time she types modular sofa Windsor into Google or clicks a PMAX ad in her feed, her consideration set is two brands wide. She is no longer comparing “all modular sofas in Canada.” She is comparing the two brands her research moment surfaced — and the third brand whose PMAX ad happens to interrupt her is mostly just paying for an impression that converts the buyer at her destination, not the buyer at her source.

Three things are happening in this sequence that the PMAX dashboard cannot see. First, social discovery and AI shopping answers are now consideration-set channels, not just discovery channels — if you are not surfaced there, you are not in the set. Second, peer channels are providing the trust signal that the brand site itself used to provide — the brand site is now being read after peer validation, not before. Third, the PMAX click is the harvest, not the hunt — the buyer arrives at the auction already partially decided, and PMAX’s last-click logic claims credit for a decision that was made one or two channels upstream.

The implication for a retail marketing director or VP is straightforward. If your spend is concentrated downstream of the research moment, you are paying full freight to convert buyers whose preference was set by someone else’s brand work. The lift available from upstream investment — brand-building work, AI shopping visibility, social discovery presence, peer-channel presence — is structurally larger than the lift available from a further point of PMAX optimisation.

The investment frame

The 60:40 split, in a high-frequency category.

The Binet and Field central tendency, derived from the IPA Effectiveness Databank across more than a thousand cases, is that the optimal long-run split between brand-building and sales-activation investment lands near 60% brand to 40% activation. The figure is a central tendency, not a prescription. It moves with category, brand maturity, and growth objective. In retail specifically, the brand share typically holds at 60:40 or slightly below for mature brands; for SMB and mid-market retailers competing for penetration against larger national chains, the brand share usually needs to rise — Media in Focus (2017) and Sharp’s penetration work both point to 60:40 to 65:35 as the realistic target for category-share growth.

Most SMB and mid-market retailers spend nothing close to that ratio. The realistic distribution typically sits closer to 85:15 or 95:5 toward activation — with PMAX, Meta Advantage+ Shopping, and Google Search consuming nearly all available budget. The brand half is not absent because it is unaffordable — many of the channels that build mental availability in 2026 (YouTube, CTV, Reddit native, creator partnerships, AI-engine optimization) cost less per attention-second of effect than the marginal PMAX dollar at a saturating ROAS — it is absent because the PMAX dashboard reports a ROAS number that looks like real performance and the brand-building work does not. The dashboard wins the budget meeting whether or not the dashboard is right.

The diagnostic question for the VP

Of every dollar your retail business spent last quarter, what share went to construction of mental availability for the next 12 to 24 months — and what share went to harvest of basket-decisions that were already formed upstream? If the answer to the first half is below 20%, the demand-formation problem is structural, not tactical — and the PMAX ROAS chart is hiding it.

The retailers who outperform their category over a five-year window almost always show a higher brand-share allocation than their peers. Sharp’s work on penetration as the dominant growth lever is consistent for retail: you grow by acquiring new buyers from the much larger pool of category buyers who do not currently use you, and you reach those buyers via the channels that build mental availability before the seasonal, occasion, or replenishment CEP fires. Activation harvests; it does not build. PMAX is the harvest at scale, with attribution math designed to make the harvest look like the cause.

The convergence

AI shopping and brand are the same play.

The most useful conceptual move available to a retail VP in 2026 is to stop treating AI shopping visibility and brand investment as separate disciplines. They are not. They are the same investment in mental availability, expressed across different surfaces.

When a buyer asks ChatGPT, Perplexity, or Google AI Overview for a product recommendation, the AI engine returns the brands it has the strongest authority and provenance signals for: named entities with structured data, dated product reviews from third-party sources, consistent identity across the open web, citations from journalism and review sites, transparent business information. The same authority signals that drive Answer Engine Optimization are the signals that drive what Romaniuk would call distinctive brand assets in the digital surface — consistent identity, consistent presence in the category conversation, consistent recall when the AI engine is asked “what are the best brands for X.” The technical work of E-E-A-T compliance and the strategic work of brand-asset building are doing the same job for the buyer and for the AI engine alike.

The implication: a retailer that invests in named-author content, third-party review surface presence, social discovery production, and the technical scaffolding that makes their product catalog extractable by AI engines is making a single investment that compounds across both the human research moment and the AI-mediated one. A retailer that invests only in PMAX optimisation is buying the harvest of someone else’s brand-formation work — at a rising CPA, against an AI shopping surface that increasingly answers buyer questions before the click happens.

The actions

Three moves a retail VP can make this quarter.

If the diagnosis lands, three moves are immediately available. None of them require pausing the PMAX work; all of them sit upstream of it.

Audit your AI shopping citation rate against your top three competitors.

Run 30 to 50 category-relevant shopping questions in ChatGPT, Perplexity, and Google AI Overviews — the exact questions your buyers ask before they search (“best running shoes under $200,” “modular sofa Canada,” “back-to-school backpack for a Grade 6 kid”). Log which brands are cited and at what frequency. The output is a defensible mental-availability proxy in the AI-mediated retail surface and is repeatable quarter over quarter. This is the single most useful diagnostic the AEO discipline produces for retail; it costs an analyst day and reframes the strategy conversation immediately. If you are not cited in 70%+ of the queries your buyers will ask, your PMAX spend is harvesting someone else’s brand work.

Reallocate at least 15–20% of next quarter’s spend to brand-building work mapped to your top CEPs.

Not all 60%. Not yet. A directional reallocation of 15 to 20 points of share, mapped specifically to the seasonal, occasion, and discovery CEPs that drive your category, is the largest move that is plausible inside one quarter and large enough to produce measurable mental-availability lift over the next 12 months. For retail, the brand half lives in YouTube and CTV (the cheapest scaled attention surface for SMB), creator and influencer partnerships (the cheapest scaled trust signal), Reddit and community-forum presence (the cheapest scaled peer-signal), and structured-data investment that makes your catalog extractable by AI engines. None of this is the abstract category-creative work that has historically priced out small retailers.

Build a third-party review surface before the next major selling season.

The most efficient brand-asset investment available to an SMB or mid-market retailer in 2026 is third-party review presence — the surface AI engines pull from when they answer “best…” queries. For most categories that means three things: a 50+ Google review base on your Google Business Profile, structured product reviews on your own site with Review schema, and proactive presence on the two or three independent review sites that dominate AI citations in your category (Reddit-native communities, Wirecutter-style reviewers, category-specific YouTube channels). One quarter of pre-season investment in this surface compounds into the next 12 months of AI-engine citations and basket-moment recall — the same authority signal that drives both human peer-channel trust and AI shopping inclusion. It takes one quarter to build the surface and a sustained year to compound the trust signal.

None of these moves replace the PMAX work. They make the PMAX work cheaper. A retailer whose mental availability is healthy buys clicks at a discount; a retailer whose mental availability is empty pays a premium for every basket it converts. The strategic work is the cost-reduction work, performed one layer upstream of the auction.

Primary sources

Where this brief comes from.

Referenced in this brief

Sharp, B. How Brands Grow: What Marketers Don’t Know. Oxford University Press, 2010.
Romaniuk, J. & Sharp, B. How Brands Grow Part 2: Including Emerging Markets, Services, Durables, New and Luxury Brands. Oxford University Press, 2016.
Romaniuk, J. Building Distinctive Brand Assets. Oxford University Press, 2018.
Nelson-Field, K. The Attention Economy and How Media Works: Why Some Media Work Better Than Others. Springer, 2020.
Binet, L. & Field, P. The Long and the Short of It: Balancing Short and Long-Term Marketing Strategies. IPA, 2013.
Binet, L. & Field, P. Media in Focus: Marketing Effectiveness in the Digital Era. IPA, 2017.
Google. Performance Max best practices and reporting transparency disclosures. 2024-2025 public documentation on search-term insights and asset-group reporting.
Retail Council of Canada. Retail trends and consumer research. 2025 omnichannel and e-commerce benchmarks.

About this brief

Five questions readers ask.

The questions that come back from CMOs and brokers after they forward this brief up the chain.

Why does this brief say PMAX isn’t enough for retail?

Because the basket-decision forms before the PMAX click. By the time a buyer sees your Performance Max ad, the shortlist is usually 1–3 brands deep, anchored by social discovery, AI shopping answers, peer reviews, and seasonal recall. PMAX moves the harvest; brand investment decides whether you’re a brand worth harvesting in the first place. Worse, PMAX’s last-click attribution credits itself for conversions that were upstream-decided — making the chart look like cause when it’s effect.
What’s a “category entry point” in retail?

The cue that brings a category to mind — “back-to-school week,” “the kids grew out of last year’s coats,” “a friend just posted about a sofa,” “the running shoes I bought last year are wearing out.” Retailers who own the entry points get recalled when the buying moment fires. Retailers who don’t are invisible until the buyer’s shortlist is already set — at which point the PMAX impression becomes the most expensive way possible to confirm a decision someone else’s brand work already made.
Does this apply to mid-market retailers, or only national brands?

SMB and mid-market retailers, primarily. The national chains can outspend their way into mental availability; the regional and independent retailers cannot — they have to earn it through CEP ownership, AI shopping visibility, and third-party review presence. The good news: the unit economics of YouTube, CTV, Reddit, and AI-engine optimization in 2026 mean a mid-market retailer can compete on mental availability for less per dollar of effect than they spend on a single quarter of PMAX at saturating ROAS.
What’s the action item?

A directional reallocation of 15–20 points of share from PMAX activation to brand-building work mapped to your top seasonal, occasion, and discovery CEPs — not all 60% at once, but enough to produce measurable mental-availability lift over 12 months. The brief makes the case; the audit identifies where you currently sit on that split, and the Google Ads audit reads what PMAX is actually doing in your account.
How does this connect to the Signostic audit?

The audit answers where is the budget leaking in the funnel you control. This brief answers where is the basket-decision forming above the funnel. Together they sequence: fix the PMAX leak, then fund the missing brand-availability work that is keeping your retail brand out of the consideration set.

Talk to the author

If a brief surfaces a question for your book — or you want to run the AI citation diagnostic on your top competitors — Chris Gardner reads every inquiry personally. Findings translate into strategy — execution runs through LocaliQ when you’re ready.