{"id":2990,"date":"2026-03-11T07:06:51","date_gmt":"2026-03-11T10:06:51","guid":{"rendered":"https:\/\/suricata.la\/the-anonymous-customer-modern-retail-challenge\/"},"modified":"2026-03-12T02:01:02","modified_gmt":"2026-03-12T05:01:02","slug":"the-anonymous-customer-modern-retail-challenge","status":"publish","type":"post","link":"https:\/\/suricata.la\/en\/the-anonymous-customer-modern-retail-challenge\/","title":{"rendered":"The anonymous customer: the great challenge of modern retail"},"content":{"rendered":"<h2>Table of Contents<\/h2>\n<ul>\n<li><a href=\"#la-importancia-de-entender-al-cliente-anonimo\">1. The importance of understanding the anonymous customer<\/a>\n<\/li>\n<li><a href=\"#la-importancia-del-cliente-anonimo-en-el-comercio-minorista\">2. The importance of the anonymous customer in retail<\/a>\n<\/li>\n<li><a href=\"#senales-de-comportamiento-en-tiempo-real-y-su-relevancia\">3. Real-time behavioral signals and their relevance<\/a>\n<\/li>\n<li><a href=\"#desafios-de-la-personalizacion-para-usuarios-anonimos\">4. Challenges of personalization for anonymous users<\/a>\n<\/li>\n<li><a href=\"#oportunidades-de-ingresos-con-compradores-anonimos\">5. Revenue opportunities with anonymous shoppers<\/a>\n<\/li>\n<li><a href=\"#como-eliminar-bloqueos-en-el-proceso-de-compra\">6. How to remove blockers in the purchase process<\/a>\n<\/li>\n<li><a href=\"#la-evolucion-del-retail-ante-la-busqueda-por-ia\">7. The evolution of retail in the face of AI search<\/a>\n<\/li>\n<li><a href=\"#expectativas-del-cliente-en-un-entorno-cambiante\">8. Customer expectations in a changing environment<\/a>\n<\/li>\n<\/ul>\n<div class=\"ai-article\">\n<h2 id=\"la-importancia-de-entender-al-cliente-anonimo\">The importance of understanding the anonymous customer<\/h2>\n<blockquote>\n<p><strong>Optimizing the PDP without identification<\/strong><br \/>\nIn retail, the \u201ctypical customer\u201d no longer starts on the homepage or arrives logged in. More and more visits land directly on a product detail page (PDP) from AI search, comparison sites, marketplaces, or social media, with an intent that changes quickly and few persistent signals.<br \/>\nThat forces a shift in the goal: instead of waiting for identification to personalize, you have to interpret session signals and reduce friction in the moment.<\/p>\n<\/blockquote>\n<ul>\n<li>Most retail traffic already arrives without login, without reliable cookies, and from AI searches, comparison sites, marketplaces, or social media.  <\/li>\n<li>Personalization still boosts results: tailored offers and experiences can increase conversion and cross-selling by 30% to 40%.  <\/li>\n<li>\u201cAnonymous\u201d does not mean \u201cinvisible\u201d: real-time behavioral signals reveal intent and friction points.  <\/li>\n<li>The challenge is no longer \u201crecommending better,\u201d but removing blockers that prevent reaching checkout.  <\/li>\n<li>With economic pressure, high acquisition costs, and privacy changes, waiting for the user to identify themselves is no longer a viable strategy.<\/li>\n<\/ul>\n<p><em>This analysis is based on the article \u201cRetail\u2019s Biggest Blind Spot: The Anonymous Customer\u201d, published in Retail TouchPoints by Alix de Sagazan (CEO and co-founder of AB Tasty).<\/em><\/p>\n<h2 id=\"la-importancia-del-cliente-anonimo-en-el-comercio-minorista\">The importance of the anonymous customer in retail<\/h2>\n<blockquote>\n<p><strong>Personalization for anonymous traffic<\/strong><br \/>\n&#8211; The source piece states that personalization (for example, tailored offers) can increase conversion and cross-selling by around 30%\u201340%.<br \/>\n&#8211; It also emphasizes that today \u201cmost traffic\u201d in retail is anonymous: it arrives without login and with weakly persistent signals (less reliable cookies, switching between devices\/tabs).<br \/>\n&#8211; Practical implication: if the site is designed primarily for identified users, it is optimized for a minority and leaves value on the table across the bulk of traffic.<\/p>\n<\/blockquote>\n<p>Retail is entering a new era of discovery: AI-powered search is changing how consumers find products and, with it, which part of the journey each brand controls. For years, the sector optimized for the \u201cknown customer\u201d: loyalty programs, CRM, personalized emails, and in-app experiences designed for those who log in, return frequently, and leave a consistent data trail.<\/p>\n<p>That assumption is breaking down. Today, most traffic is anonymous. Many shoppers land directly on product pages from AI search results, price comparison sites, marketplaces, or social media.\n <\/p>\n<p>They arrive without identifying themselves, often without cookies that tell a reliable story and without a prior relationship with the retailer. In addition, their context is hard to reconstruct: they jump between tabs, browse on multiple devices, and change intent within the same session.<\/p>\n<p>Treating that visitor as \u201clower value\u201d is a strategic mistake. In many categories, they represent the biggest revenue opportunity: they are usually a high-intent shopper, short on time, with a comparison mindset. They\u2019re not \u201cbrowsing\u201d; they\u2019re trying to decide quickly.<\/p>\n<h2 id=\"senales-de-comportamiento-en-tiempo-real-y-su-relevancia\">Real-time behavioral signals and their relevance<\/h2>\n<p>The good news is that anonymity does not equal opacity. Even if historical data is missing\u2014previous purchases, lifetime value, established affinities\u2014the retailer does have something immediate and actionable: real-time behavioral signals.<\/p>\n<p>Every click, filter, or repeated visit to a specific section provides context about intent:<\/p>\n<ul>\n<li>Someone who checks delivery dates several times may be worried about arriving on time for a birthday or event.<\/li>\n<li>Someone who sorts by \u201clowest price\u201d or sets a price filter usually indicates that budget is the deciding factor.<\/li>\n<li>Someone who switches between the size guide and the returns policy may be looking for reassurance about fit and post-purchase friction.<\/li>\n<\/ul>\n<div class=\"cc-table-wrap\" style=\"overflow-x:auto;max-width:100%;-webkit-overflow-scrolling:touch\">\n<table class=\"cc-table\" style=\"width:100% !important;max-width:100% !important;min-width:540px;table-layout:auto !important;white-space:normal !important;word-break:normal;overflow-wrap:anywhere;hyphens:auto\">\n<thead>\n<tr>\n<th>Session signal<\/th>\n<th>What it usually indicates (intent\/friction)<\/th>\n<th>Recommended response (in the moment)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Repeated visit to \u201cShipping\u201d \/ checking delivery dates<\/td>\n<td>Urgency to receive on time; deadline anxiety<\/td>\n<td>Show ETA and options (next-day, click-and-collect) before checkout; highlight cutoff time if applicable<\/td>\n<\/tr>\n<tr>\n<td>Sort by \u201clowest price\u201d \/ apply price filter<\/td>\n<td>Price sensitivity; active comparison<\/td>\n<td>Highlight relevant promos, bundles, or volume savings; clarify total cost (shipping\/taxes) early<\/td>\n<\/tr>\n<tr>\n<td>Switch between size guide \u2194 returns<\/td>\n<td>Fear of getting it wrong; cost of returning<\/td>\n<td>Summarize the exchange\/return policy near the size selector; show size recommendations based on measurements<\/td>\n<\/tr>\n<tr>\n<td>Open FAQs or terms multiple times<\/td>\n<td>Doubts that block the decision<\/td>\n<td>Insert short answers in the PDP (accordion) and access to support without leaving the page<\/td>\n<\/tr>\n<tr>\n<td>Frequent variant changes (color\/size) without adding to cart<\/td>\n<td>Indecision or lack of comparative information<\/td>\n<td>Add a comparison toolsimple variants, additional photos, availability by variant, and \u201cwhat\u2019s included\u201d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>The problem is that many experiences are still static: they show the same content and force the same purchase flow, regardless of what the user is \u201csaying\u201d with their behavior. That\u2019s where the opportunity to respond when intent is hottest gets lost.<\/p>\n<h2 id=\"desafios-de-la-personalizacion-para-usuarios-anonimos\">Challenges of personalization for anonymous users<\/h2>\n<p>Personalization works: tailoring offers and content can lift conversion and cross-sell by 30% to 40%. But the challenge is obvious: how do you personalize if you don\u2019t know who the person is?<\/p>\n<p>The answer requires changing the approach. Instead of relying on historical segments or persistent profiles, personalization for anonymous users must be based on contextual intent: what the user is doing now, in this session, at this point in the funnel.<\/p>\n<blockquote>\n<p><strong>Key trade-offs in personalization<\/strong><br \/>\n&#8211; Personalization vs. privacy: the more \u201caggressive\u201d the inference, the more important it is that the experience feels useful (not invasive) and that the user understands why they\u2019re seeing certain information.<br \/>\n&#8211; Speed vs. accuracy: responding in real time often beats \u201cgetting it perfectly right\u201d late; a simple help (delivery times, returns, stock) can unlock more than a sophisticated recommender.<br \/>\n&#8211; Session signals vs. history: with anonymous users, the session rules; the risk is overinterpreting a single action. Better to combine 2\u20133 consistent signals before changing messages or offers.<\/p>\n<\/blockquote>\n<p>On top of that comes a \u201ccocktail\u201d of external pressure: privacy changes, the decline of third-party cookies, and the rise of AI search. The era of \u201ceasy tracking\u201d is over. Waiting for the user to identify themselves\u2014only then offering a relevant experience\u2014no longer fits how people discover and buy in 2026.<\/p>\n<h2 id=\"oportunidades-de-ingresos-con-compradores-anonimos\">Revenue opportunities with anonymous shoppers<\/h2>\n<p>The anonymous shopper often arrives \u201cmid-funnel\u201d with a short list in mind. They\u2019ve already compared, already read, already asked an AI or checked reviews on another site. In that scenario, the retailer\u2019s job isn\u2019t to educate from scratch, but to reduce friction quickly to get them to checkout.<\/p>\n<blockquote>\n<p><strong>From intent to fast conversion<\/strong><br \/>\nPractical flow to turn anonymous intent into progress (without relying on login):<br \/>\n1) Mid-funnel entry (PDP\/PLP) \u2192 detect 1\u20132 dominant signals (price, delivery, trust, fit).<br \/>\n2) Identify friction \u2192 what\u2019s holding back \u201cAdd to cart\u201d or \u201cPay\u201d (timeline, total cost, policy, stock, payment method)?<br \/>\n3) Minimal intervention \u2192 show the answer where the doubt appears (not on another page): ETA, returns, promo\/bundle, reviews, availability.<br \/>\n4) Checkpoint \u2192 if after the intervention not<\/p>\n<\/blockquote>\n<p>there is progress (cart\/checkout), test an alternative (e.g., click-and-collect vs. shipping; warranty vs. reviews; bundle vs. one-off coupon).<\/p>\n<\/blockquote>\n<p>When an anonymous user leaves without buying, it\u2019s often not due to lack of interest, but because something stopped them: doubts about delivery, price, trust, returns, or payment complexity. Removing those blockers in the moment can turn \u201chard-to-retain\u201d traffic into immediate revenue.<\/p>\n<p>Also, in a context of economic pressure, more deliberate consumers, high acquisition costs, and margins under strain, improving conversion of existing traffic\u2014especially the majority, which is anonymous\u2014becomes a critical lever.<\/p>\n<h2 id=\"como-eliminar-bloqueos-en-el-proceso-de-compra\">How to remove blockers in the purchase process<\/h2>\n<p>For years, retail equated personalization with recommendations. For the anonymous user, that obsession may be secondary. The priority is to identify what prevents them from buying and clear the path.<\/p>\n<blockquote>\n<p><strong>Common blockers and quick solutions<\/strong><br \/>\nQuick checklist of frequent blockers (and immediate fixes):<br \/>\n&#8211; Delivery: ETA not very visible \u2192 show estimated date and options (urgent\/click-and-collect) on the PDP and in the cart.<br \/>\n&#8211; Price: surprise total cost (shipping\/taxes) \u2192 clarify the total as early as possible and avoid \u201csurprises\u201d at the end.<br \/>\n&#8211; Trust: lack of social proof \u2192 surface reviews, ratings, and warranties near the CTA.<br \/>\n&#8211; Fit\/compatibility: technical or sizing doubts \u2192 clear guide, comparisons, and \u201cwhat\u2019s included\u201d without leaving the page.<br \/>\n&#8211; Stock: uncertainty about availability \u2192 stock by variant and restock times if applicable.<br \/>\n&#8211; Checkout: too many steps\/fields \u2192 reduce friction (autocomplete, guest checkout, popular payment methods).<br \/>\n&#8211; Returns: hidden policy \u2192 simple summary and link to details next to size\/CTA.<\/p>\n<\/blockquote>\n<p>Examples of responses based on real-time signals:<\/p>\n<ul>\n<li><strong>If delivery is the concern:<\/strong> show fast delivery options, \u201cnext-day,\u201d or click-and-collect earlier, and make timelines visible at the point where the doubt arises.<\/li>\n<li><strong>If price is the brake:<\/strong> highlight promotions, bundles, or a one-off incentive that reduces hesitation, without forcing navigation across multiple pages.<\/li>\n<li><strong>If trust is lacking:<\/strong> elevate reviews, warranties, and easy returns; reduce uncertainty with clear, accessible information.<\/li>\n<\/ul>\n<p>The key is to move from rigid experiences to experiences that react. It\u2019s not about guessing \u201cwho\u201d the customer is, but understanding \u201cwhat\u201d they need to move forward.<\/p>\n<h2 id=\"la-evolucion-del-retail-ante-la-busqueda-por-ia\">The evolution of retail in the face of AI search<\/h2>\n<blockquote>\n<p><strong>PDPs for mid-funnel intent<\/strong><br \/>\nWhat changed: AI search and comparison environments are pushing many users to land directly on PDPswith a mental preselection (they arrive \u201cmid-funnel\u201d).<br \/>\nWhat this implies: the first seconds on the PDP (clarity of total price, delivery, returns, trust) matter more than classic navigation by categories or the home. The site must be prepared to respond to intent, not to \u201cpresent the brand\u201d from scratch.<\/p>\n<\/blockquote>\n<p>AI search is reshaping the discovery map. Instead of starting on the home, the consumer lands on a product page from a result already \u201ccurated\u201d by an assistant, a comparison engine, or a social feed. That reduces the retailer\u2019s control over the start of the journey and increases the importance of what happens in the first seconds on the site.<\/p>\n<p>In this new pattern, designing primarily for logged-in customers means optimizing for a minority. The risk is clear: losing the majority by not recognizing them, not reading their signals, and not responding to their intent.<\/p>\n<h2 id=\"expectativas-del-cliente-en-un-entorno-cambiante\">Customer expectations in a changing environment<\/h2>\n<blockquote>\n<p><strong>Personalization: urgency and current expectations<\/strong><br \/>\nIn the base piece, two data points are cited that explain the urgency:<br \/>\n&#8211; 71% of customers still expect personalized experiences throughout the purchasing process.<br \/>\n&#8211; 61% say they feel \u201clike a number\u201d when the experience isn\u2019t tailored.<br \/>\nOperational takeaway: even if there are fewer persistent identifiers, the expectation of relevance remains; that\u2019s why real-time signals (delivery, price, trust, fit) become the most direct bridge.<\/p>\n<\/blockquote>\n<p>Even if the data ecosystem changes, consumer expectations don\u2019t drop. 71% of customers still expect personalized experiences throughout the purchasing process, and 61% say they feel \u201clike a number\u201d when the experience isn\u2019t tailored.<\/p>\n<p>The tension is obvious: fewer persistent identifiers, more pressure for relevance. The way out requires a shift in mindset and operations: collaboration among merchandising, UX, logistics, and pricing to act on real-time behavioral signals. It\u2019s harder than launching another loyalty tier, but its impact can be greater because it targets the bulk of traffic.<\/p>\n<p>From Suricata Cx, that same logic of contextual intent and automation with human control translates into faster, clearer omnichannel experiences, where each interaction provides actionable context even when the customer remains \u201canonymous.\u201d<\/p>\n<p>This approach starts by designing operations around real-time signals (intent, friction, and urgency) and orchestrating consistent responses across channels, prioritizing resolution and user progress over relying on persistent identifiers.<\/p>\n<p><em>The figures and examples cited are based on publicly available information as of the publication date. The magnitude of the impact may vary depending on the category, the market, and thedigital maturity of the retailer. Discovery patterns (AI, comparison sites, social) evolve rapidly, so some details could change and be updated with new information.<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Table of contents 1. The importance of understanding the anonymous customer 2. The importance of the anonymous customer in retail 3. Real-time behavioral signals and their relevance 4. Personalization challenges for anonymous users 5. Revenue opportunities with anonymous shoppers 6. How to remove friction in the purchasing process 7. The evolution of retail &#8230; <\/p>\n<div><a href=\"https:\/\/suricata.la\/el-cliente-anonimo-el-gran-desafio-del-retail-moderno\/\" class=\"more-link\">Read More<\/a><\/div>\n","protected":false},"author":2,"featured_media":2987,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_metadesc":"","content_central_editor_notes":"","yoast_description":"","footnotes":""},"categories":[48],"tags":[1538,986,1540,1541,1539],"class_list":["post-2990","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-noticias","tag-anonymous-customer","tag-customer-expectations","tag-personalization-strategies","tag-real-time-signals","tag-retail-challenges"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The anonymous customer: the great challenge of modern retail - Suricata Cx<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/suricata.la\/en\/the-anonymous-customer-modern-retail-challenge\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The anonymous customer: the great challenge of modern retail - Suricata Cx\" \/>\n<meta property=\"og:description\" content=\"Table of contents 1. 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Personalization challenges for anonymous users 5. Revenue opportunities with anonymous shoppers 6. How to remove friction in the purchasing process 7. 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