Recognizing Shifts In Ecommerce Buying Patterns

Google is no longer the first stop for product discovery. New data from PartnerCentric confirms what many of us in e-commerce already feel happening: TikTok, Pinterest, Reddit, Inc., and Discord are reshaping how people discover, evaluate, and buy products—especially among Gen Z and millennials. Here are the shifts worth paying attention to: 1. 1 in 10 Gen Z shoppers prefer TikTok over Google for finding products 2. 50% of Gen Z use Discord for shopping—often in private, loyalty-driven communities 3. 2/3 of U.S. consumers use Reddit in some form, with younger shoppers turning to it for trusted reviews 4. TikTok Shop users now spend ~$40/month—$50 for millennials And while Google still plays a role, it’s being edged out during the most influential parts of the funnel: discovery and validation. This is the rise of social-first commerce. For brands and marketers, it’s not just about ads—it’s about being part of the conversation where it starts. Your future customers aren’t searching. They’re scrolling, watching, and asking strangers on Reddit.

We analyzed consumer spending patterns across three major marketplaces heading into Q4. The data reveals a fundamental shift in buyer behavior: FINDING #1: High-income shoppers are trading down across categories Consumer sentiment dropped to near-record lows despite 4% GDP growth. Even households earning $100K+ are cutting holiday spending by double digits. This isn't temporary belt-tightening. FINDING #2: Gen Z adoption of AI shopping tools jumped to 43% Nearly half of younger consumers now use AI to validate purchases before checkout. Traditional product detail pages alone no longer close the sale. The decision happens before they reach your listing. FINDING #3: Buy-now-pay-later usage crossed 75% penetration Over three-quarters of shoppers plan to use payment flexibility options this season. Brands without BNPL integration are leaving revenue on the table before Black Friday even starts. FINDING #4: Early shopping behavior accelerated by two full weeks 58% of consumers started holiday purchasing before November. The old playbook of launching promotions Thanksgiving week is now arriving after peak traffic already converted elsewhere. FINDING #5: Basket sizes contracted while transaction volume increased Shoppers are making more frequent, smaller purchases. Average order values dropped across apparel, electronics, and grocery categories. Your unit economics need recalibration. 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗶𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Brands optimizing for last year's consumer behavior will underperform competitors who adapted to these five shifts. The marketplace doesn't reward nostalgia. 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗰𝗵𝗲𝗰𝗸𝗹𝗶𝘀𝘁: → Test promotional calendars starting two weeks earlier than 2024 → Add BNPL options to high-ticket SKUs before Cyber Week → Build content strategy around AI discovery patterns, not just human search 𝗬𝗼𝘂𝗿 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Pick one finding above and stress-test your Q4 strategy against it this week. 𝗥𝗲𝗺𝗶𝗻𝗱𝗲𝗿: These trends accelerate heading into 2026. What worked during the last holiday cycle is already outdated.

If you're a marketing leader still running e-commerce campaigns like it's 2020, you're about to hit a wall. 44% of ALL internet users now start their shopping activity on social media.  Not Google or your website. This isn't a throwaway trend. I've been watching this change happen in real-time. It's a fundamental shift in buying behavior. OLD WORLD Website → Your primary storefront Awareness → Paid search, shopping ads, SEO, marketplace, affiliate sites Customer journey → Centered on website Engagement → Email campaigns, retargeting, abandoned cart sequences Conversion → ~2-3% on websites Customer service → Help desk tickets, emails  Purchase decision → Reviews, product specs, comparison sites Brand building → Professional content, polished ads NEW WORLD Website → One of MANY touchpoints Awareness → Social discovery, influencer content, viral moments Customer journey → Centered on INTERACTIVE experiences Engagement → Direct messaging, comments, real-time interaction Conversion → ~15% through social messaging Customer service → Real-time social DMs, community support Purchase decision → Social proof, UGC, peer recommendations, live Q&A Brand building → Authentic interactions, community creation I can't remember the last time I saw a purely website-centric strategy succeed. The old playbook is breaking. We're witnessing the decay of the traditional e-commerce “funnel”. Tomorrow's e-commerce doesn't chase website traffic or believe in linear customer journeys that live and die by website visits. You'll have to show up where consumers already spend their time - in social feeds and DMs. The market is already picking winners and losers. While established brands struggle with rising CAC and declining (email) engagement, a new breed of social-first brands are thriving. Look at Tree Hut, Prime Time, cocokind, Ro... Watching newer brands get this instinctively excites me the most and I'm hopeful because social lets us scale what makes commerce human - honest answers, social proof, and real connections - without having to rely on mass marketing that treats everyone the same. I'm still figuring out parts of this shift for our customers myself. But I'm certain of one thing - we can't keep treating social as just a top of the funnel channel any more. PS. I started building Scrollmark based on this insight back in 2023. Since then, we've added tons of cool features and helped 50+ mid-market and enterprise customers adopt the NEW WORLD: https://lnkd.in/gtBkmJck

Most businesses panic when they see their average order value (AOV) drop 25%. They then… - Slash prices - Rush promotions - Question their premium products But smart retailers know better — they investigate patterns first. Here are a few to get you started: 1. Sales data Your 6-month trends reveal the first signs of change: - Did price changes affect order value? - Which products are selling more or less? - What's the pattern in shopping cart composition? - What does purchase frequency tell us? - What's hiding in abandoned carts? - Are premium products getting abandoned? 🧩 Let’s say you see premium items getting abandoned at checkout repeatedly. Looking deeper, you might find a specific price threshold — leading to an opportunity for strategic bundling. 2. Website behavior Tools like CrazyEgg, LuckyOrange, Hotjar, and FullStory show complete interaction patterns: - Most visited pages - Heat map patterns - Premium product engagement 🧩 Are customers spending time on review sections but leaving? You might need stronger social proof and not necessarily lower prices. 3. Customer voices Data tells half the story, and your customers tell the other half. Direct fact-finding reveals… - Customer sentiments on new premium products - Views on popular vs. unpopular items - Feedback on existing products Social media conversations add another layer of insight. 🧩 Suppose your focus groups reveal confusion about premium features. This could signal you need better education — not different products. 4. Competitive landscape A comprehensive look at your market reveals if competitors… - Launched promotions that coincided with the change - Introduced new products during your AOV drop - Brought innovative solutions to the market - Lowered their existing product prices 🧩 Did you notice your AOV drop right when a competitor introduced similar products at lower prices? This is a direct connection between market changes and your sales patterns. 5. Long-term trends Customer surveys help you identify shifts in popularity before they hurt your bottom line. 🧩 If they show customers gradually losing interest in a once-popular product category… You’ve spotted a trend that explains your dropping order value (and suggests you should act accordingly). 💡 Remember this: Numbers don't drop without reason. Patterns don't form by accident. Solutions don't come from guessing. Understanding your customers' behavior is the difference between reacting and leading.

Consumers Start Buying Early to Dodge Tariff Price Hikes — NRF Confirms Retail Impact As the threat of new tariffs looms, a growing number of U.S. consumers are shifting their shopping habits to get ahead of expected price hikes. A recent Inmar Intelligence survey revealed that 77% of shoppers plan to make purchases sooner than normal to avoid the impact, and nearly half are buying in bulk to stock up. The National Retail Federation backs this up. According to the latest CNBC/NRF Retail Monitor (https://lnkd.in/egNFUBxT), June retail sales slowed, in part due to consumer anxiety around tariffs and inflation. While discretionary spending held steady in some categories, NRF Chief Economist Jack Kleinhenz noted that “consumer behavior is clearly being shaped by ongoing tariff concerns.” Generational Behavior Shifts 🔹Gen Z and Millennials are leading the charge, with over 80% reporting adjusted buying habits. 🔹These consumers are especially active in categories like electronics, apparel, and home goods, which are expected to see price volatility due to goods sourced from China. What It Means for eCommerce Sellers 🔸Urgency sells. Buyers are tuned into economic shifts—leveraging tariff-related messaging in your promotions could boost conversion rates. 🔸Plan for front-loaded demand. If consumers accelerate purchases now, Q4 could see a slowdown unless reactivated with fresh offers. 🔸Watch your sourcing. With the NRF warning of increased tariff sensitivity, brands should consider diversifying suppliers or clearly communicating value to justify potential price hikes. NRF June Retail Snapshot 🔹Month-over-month, core retail sales dipped 0.2% in June 🔹Categories like clothing and home furnishings saw notable slowdowns 🔹“Tariff headlines are reshaping household decisions” — NRF Bottom Line Tariff talk is no longer abstract—it’s impacting wallets and reshaping purchase timing. Smart sellers will get ahead of this wave with early promotions, demand forecasting, and supply chain agility to stay competitive as price sensitivity rises. ⬇️ Tap the link to read more about this update! https://lnkd.in/e-bXmEHD

Inflation isn’t just an economic challenge—it’s a test of agility for businesses. As costs rise and purchasing power shifts, companies that rely on gut instinct risk falling behind. The real winners? Those who use data-driven insights to navigate uncertainty. 1️⃣ Understanding Consumer Behavior: What’s Changing? Inflation reshapes spending habits. Some consumers trade down to budget-friendly options, while others delay non-essential purchases. Businesses must analyze: 🔹 Spending patterns: Are customers shifting to smaller pack sizes or private labels? 🔹 Channel preferences: Is there a surge in online shopping due to better deals? 🔹 Regional variations: Inflation doesn’t hit all demographics equally—hyperlocal data matters. 📊 Example: A retail chain used real-time sales data to spot a shift toward economy brands, allowing it to adjust promotions and retain price-sensitive customers. 2️⃣ Pricing Trends: Data-Backed Decision-Making Raising prices isn’t the only response to inflation. Smart pricing strategies, backed by AI and analytics, can help businesses optimize margins without losing customers. 🔹 Dynamic pricing models: Adjust prices based on demand, competitor moves, and seasonality. 🔹 Price elasticity analysis: Determine how much a price hike impacts sales before making a move. 🔹 Personalized discounts: Use customer data to offer targeted promotions that drive loyalty. 📈 Example: An e-commerce platform analyzed customer behavior and found that small, frequent discounts led to better retention than infrequent deep discounts. 3️⃣ Demand Forecasting & Inventory Optimization Stocking the right products at the right time is critical in an inflationary market. Predictive analytics can help businesses: 🔹 Anticipate demand surges—especially in essential goods. 🔹 Optimize supply chains to reduce excess inventory and prevent stockouts. 🔹 Reduce waste in perishable categories like F&B, where price-sensitive demand fluctuates. 📦 Example: A leading FMCG brand leveraged AI-driven demand forecasting to prevent overstocking of premium products while ensuring budget-friendly variants were always available. 💡 The Takeaway Inflation isn’t just about rising costs—it’s about shifting consumer priorities. Companies that embrace data-driven decision-making can optimize pricing, fine-tune inventory, and strengthen customer loyalty. 𝑯𝒐𝒘 𝒊𝒔 𝒚𝒐𝒖𝒓 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝒂𝒅𝒂𝒑𝒕𝒊𝒏𝒈 𝒕𝒐 𝒊𝒏𝒇𝒍𝒂𝒕𝒊𝒐𝒏𝒂𝒓𝒚 𝒑𝒓𝒆𝒔𝒔𝒖𝒓𝒆𝒔? 𝑨𝒓𝒆 𝒚𝒐𝒖 𝒖𝒔𝒊𝒏𝒈 𝒅𝒂𝒕𝒂 𝒕𝒐 𝒓𝒆𝒇𝒊𝒏𝒆 𝒚𝒐𝒖𝒓 𝒔𝒕𝒓𝒂𝒕𝒆𝒈𝒚? 𝑳𝒆𝒕’𝒔 𝒅𝒊𝒔𝒄𝒖𝒔𝒔 𝒊𝒏 𝒕𝒉𝒆 𝒄𝒐𝒎𝒎𝒆𝒏𝒕𝒔! #datadrivendecisionmaking #dataanalytics #inflation #inventoryoptimization #demandforecasting #pricingtrends

𝗜𝗺𝗽𝘂𝗹𝘀𝗲 𝗶𝘀 𝘁𝗵𝗲 𝗡𝗲𝘄 𝗜𝗻𝘁𝗲𝗻𝘁: 𝗥𝗲𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗘-𝗖𝗼𝗺𝗺 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗤-𝗖𝗼𝗺𝗺 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 This Diwali season, I became a student of my own customer's behavior. And the lesson was profound. Like many of you, I watched the headlines: Quick Commerce (Q-Commerce) clocking 𝟮+ 𝗠𝗶𝗹𝗹𝗶𝗼𝗻 daily orders during the festive season. The numbers are staggering, but living them is a different story. My moment of truth came at 8 PM on Diwali eve. We were all set for the Puja, only to realize we were missing a Nariyal. A few years ago, this would have been a minor crisis. This year, I picked up my phone, tapped a few times and by the time I gathered the family together for the Aarti, the Nariyal was at my doorstep. The convenience was intoxicating. It wasn't just a transaction, it was an immediate solution to a genuine, time-sensitive need. This experience cemented a hypothesis I’ve been wrestling with: Impulse buying is no longer a niche behavior - it's the fabric of a our generation's consumption pattern. The shift isn't just coming, it's already in our living rooms. As an E-commerce founder, this is both exhilarating and daunting. The analytics are clear: → The Shrinking Decision Window: The journey from "I want" to "I have" has collapsed from days to minutes. This fundamentally alters how we think about product discovery and conversion. → The New 'Top of Funnel': For certain categories, Q-Commerce platforms are the discovery channel. If you're not there, you're invisible to a segment of buyers making high-impulse, high-intent purchases. →The Basket Size Paradox: While average order values on Q-Commerce are smaller, the frequency is exponentially higher. It’s a different business model—one built on repeat purchases and top-of-mind recall. So, the multi-crore question for every E-comm founder like myself: Should we be aggressively reallocating our precious resources to bet on Q-Commerce? My initial, gut-feel answer is a cautious yes, but with a strategy. What are your thoughts? #ecommerce #quickcommerce #consumerbehavior

🚨 Shopify’s president says agentic shopping is coming…  We’ve heard plenty of “next big things” in #eCommerce. Most fade. This one feels different. The shift is simple, but powerful: Instead of customers searching, comparing, and deciding… #AI agents will start doing it for them. Not just “find me sneakers” But “find me the best running shoes based on what I usually buy, my budget, and my preferences” That changes the entire dynamic. → 𝐒𝐞𝐚𝐫𝐜𝐡 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐥𝐞𝐬𝐬 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 → 𝐁𝐫𝐚𝐧𝐝 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐦𝐨𝐫𝐞 𝐜𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥 → 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦-𝐝𝐫𝐢𝐯𝐞𝐧, 𝐧𝐨𝐭 𝐚𝐝-𝐝𝐫𝐢𝐯𝐞𝐧 And here’s where it gets interesting from a #payments perspective… If #agents are the ones choosing where transactions happen: → 𝐌𝐞𝐫𝐜𝐡𝐚𝐧𝐭𝐬 𝐰𝐨𝐧’𝐭 𝐜𝐨𝐦𝐩𝐞𝐭𝐞 𝐟𝐨𝐫 𝐜𝐥𝐢𝐜𝐤𝐬 𝐚𝐧𝐲𝐦𝐨𝐫𝐞 → 𝐓𝐡𝐞𝐲’𝐥𝐥 𝐜𝐨𝐦𝐩𝐞𝐭𝐞 𝐟𝐨𝐫 𝐛𝐞𝐢𝐧𝐠 “𝐜𝐡𝐨𝐬𝐞𝐧” 𝐛𝐲 𝐭𝐡𝐞 𝐚𝐠𝐞𝐧𝐭 → 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐚 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧, 𝐧𝐨𝐭 𝐚 𝐟𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐨𝐧𝐞 Which raises real questions: Who controls the checkout? Which payment methods get prioritised? How does risk get assessed when a machine is initiating the purchase? We’re already seeing early signals with partnerships like Walmart x Google and Target x OpenAI. This isn’t experimentation anymore. It’s infrastructure being rewritten. For businesses, especially in high-risk sectors, this could either widen access… or quietly limit it, depending on how these agents are trained and what rails they trust. The real shift isn’t AI in shopping. It’s AI deciding where money flows. And once that happens, the rules change. #Payments #eCommerce #Fintech #AI #AgenticCommerce #Google #Openai #Target #Walmart #Shopify

This feels like one of those moments we’ll look back on and say: that’s when ecommerce really changed. For Shopify merchants, AI-driven buying across Google surfaces means the purchase no longer starts on your site. It starts in a conversation. And when that happens, a few things shift fast: 👇 1. Small issues become deal-breakers When an AI is helping someone buy, there’s no patience for friction. → A pricing mismatch. → A slow response. → A checkout hiccup. Those aren’t annoyances anymore. They’re hard stops. 2. “Trust” looks different now AI doesn’t get impressed by branding or clever UX. It rewards stores that work every time. • Clean data • Stable flows • Fewer surprises Over time, consistency becomes the differentiator. 3. Your site becomes background infrastructure Even if the buyer never sees your storefront, it’s still doing the heavy lifting: • Checkout logic • APIs • Performance • Releases that don’t break things If that foundation isn’t solid, revenue leaks quietly, often without anyone noticing. What really stands out to me is where this points next. Once buying moves into AI-led interfaces, this won’t stay limited to a single platform. The takeaway for ecommerce teams: don’t think of this as “another channel.” It’s a stress test for how reliable your commerce stack actually is. AI buyers won’t tolerate what humans used to work around. Ecommerce leaders: how do you think this will impact our space?

AI companies are becoming the new middle layer of commerce, and the shift is happening faster than most people think. For years, the ecommerce journey looked like this: Search → Browse → Buy. Today, that journey is being rewired. More shoppers are starting with an AI assistant instead of a traditional search engine. They ask for what they want, and the AI does the thinking. It compares options, filters noise, and recommends the best fit. In many cases, it even completes the task inside the same conversation. Examples are already showing up in the real world: • ChatGPT integrated into the Walmart app, helping customers plan meals and build carts • AI agents that can book restaurants, compare flights, manage returns, or complete checkout • Brands wiring their catalogs, customer support, and payments into AI systems When you zoom out, you can see four major hubs forming: OpenAI, Google, Anthropic, and Perplexity. These hubs are becoming the new gateways into shopping, search, and payments. This matters for ecommerce sellers. If the shopping journey starts with an AI assistant, the question changes. It is no longer “How do I get more website traffic?” It becomes: How do I make sure my products surface, get recommended, and get chosen inside AI-driven shopping flows? The middle layer of commerce is shifting from websites and marketplaces to intelligent assistants. Sellers who adapt early will be the ones who stay visible as this new customer journey takes shape. If you want more analysis like this, I break it down weekly in the newsletter: 🔔 https://t2m.io/j6Po32q