Web Design for E-commerce

🗺️ AirBnB Customer Journey Blueprint, a wonderful practical example of how to visualize the entire customer experience for 2 personas, across 8 touch points, with user policies, UI screens and all interactions with the customer service — all on one single page. AirBnB Customer Journey (Google Drive): https://lnkd.in/eKsTjrp4 Spotify Customer Journey (High-res): https://lnkd.in/eX3NBWbJ Now, unlike AirBnB, your product might not need a mapping against user policies. However, it might need other lanes that would be more relevant for your team. E.g. include relevant findings and recommendations from UX research. List key actions needed for next stage. Add relevant UX metrics and unsuccessful touchpoints. That last bit is often missing. Yet customer journeys are often non-linear, with unpredictable entry points, and integrations way beyond the final stage of a customer journey map. It’s in those moments when things leave a perfect path that a product’s UX is actually stress tested. So consider mapping unsuccessful touchpoints as well — failures, error messages, conflicts, incompatibilities, warnings, connectivity issues, eventual lock-outs and frequent log-outs, authentication issues, outages and urgent support inquiries. Even further than that: each team could be able to zoom into specific touch points and attach links to quotes, photos, videos, prototypes, design system docs and Figma files. Perhaps even highlight the desired future state. Technical challenges and pain points. Those unsuccessful states. Now, that would be a remarkable reference to use in the beginning of every design sprint. Such mappings are often overlooked, but they can be very impactful. Not only is it a very tangible way to visualize UX, but it’s also easy to understand, remember and relate to daily — potentially for all teams in the entire organization. And that's something only few artefacts can do. Useful resources: Free Template: Customer Journey Mapping, by Taras Bakusevych https://lnkd.in/e-emkh5A Free Template: End-To-End User Experience Map (Figma), by Justin Tan https://lnkd.in/eir9jg7J Customer Journey Map Template (Figma), by Ed Biden https://lnkd.in/evaUP4kz Free Figma/Miro User Journey Maps Templates https://lnkd.in/etSB7VqB User Journey Maps vs. Service Blueprints (+ Templates) https://lnkd.in/e-JSYtwW UX Mapping Methods (+ Miro/Figma Templates) https://lnkd.in/en3Vje4t #ux #design

🚨The greatest drop-off is from Product Details Page To Cart Page, so we must improve our Product Details Page! Not so fast ✋ In today's age of data obsession, almost every company has an analytics infrastructure that pumps out a tonne of numbers. But rarely do teams invest time, discipline & curiosity to interpret numbers meaningfully. I will illustrate with an example. Let's take a simple e-commerce funnel. Home Page ~ 100 users List Page ~ 90 users Product Display Page ~ 70 users Cart Page ~ 20 users Address Page ~ 15 users Payments Page ~12 users Order Confirmation Page ~ 9 users A team that just "looks" at data will immediately conclude that the drop-off is most steep between Product Details Page & Cart Page. As a consequence they will start putting in a lot of fire power into solving user problems on Product Display Page. But if the team were data "curious", would frame hypothesis such as "do certain types of users reach cart page more effectively than others?" and go on to look at users by purchase buckets, geography, category etc and look at the entire funnel end to end to observe patterns. In the above scenario, it's likely that the 20 cart users were power users whilst new & early purchasers don't make it to this stage. The reason could be poor recommendations on the list page or customers are only visiting the product display page to see a larger close up of the product. So how should one go about looking at data ? Do ✅ Start with an open & curious mind ✅ Start with hypothesis ✅ Identify metrics & counter metrics that will help prove/disprove hypothesis ✅ Identify the various dimensions that could influence behaviours - user type, geography, category, device type, gender, price point, day, time etc. The dimensions will be specific to your line of business. ✅ Check for data quality and consistency ✅ Look at upstream and downstream behaviour to see how the behaviour is influenced upstream and what happens to the behaviour downstream. ✅ Check for historical evidence of causality Dont ❌ Look at data to satisfy your bias ❌ Rush to conclude your interpretation ❌ Look at data in isolation - - - TLDR - Be curious. Not confirmed. #metrics #analytics #productmanagement #productmanager #productcraft #deepdiveswithdsk

Every year, design trends and how brands communicate changes. As a graphic designer, I can see five big trends that will shape the way things look in 2025 (I know, I'm late to the party but oh well 👀 ): 1. Characters in Branding (not mascots): Brands are using illustrated or stylized characters to create an ✨ emotional connection ✨ with their customers. Unlike mascots, these characters feel more like part of a brand's world rather than being used as a promotional tool. You see them in campaigns, packaging and so on, making the brand seem more personal and relatable. I'm really into this trend at the moment. 2. Customized Typography: Standard fonts are so last century! These days, brands are putting money into typefaces that reflect their identity. This shift is helping them to create a strong brand voice that stands out in a sea of sameness. 3. Editorial Style in Branding: You know how magazines and newspapers have those layouts that always catch your eye? 👁️ Well, now they're making their way into branding. We're talking about structured grids, layered text, textures and a cool mix of typography and imagery. This trend adds a touch of sophistication and depth, making brands feel like premium publications rather than just products. 4. Aurora Effects & Shapes: This trend has been around for a while, and it's only going to get BIGGER. Soft, gradient-based visuals that look like the northern lights or liquid metal. These dreamy, ethereal aesthetics make designs look futuristic, giving them a vibe that's both digital-forward and organic. Pair them with a modern-looking colour palette, some grain texture and shapes and your brand will really stand out. 5. Bold Colors: Minimalism is going through a bit of a makeover 🎨. Think high-energy hues, unexpected colour pairings and powerful contrast that grabs attention instantly. Brands are moving away from muted tones and going for bold and eclectic colour palettes. What do you think of these trends? Are there any you'd like to explore? Let's share our thoughts! Vlada

Late entrants in ecommerce have scaled massively by being 10x better than incumbents either on assortment (think – FirstCry, Lenskart, Myntra) or pricing (think – FK in 2015, Meesho, Temu) or experience (delivery time for Zepto/ Blinkit). Feel that the next lever of disruption will again be on experience – but not post purchase (i.e delivery time) but rather pre-purchase. The problem statement is how to accelerate purchase decision making for a customer – either through better discovery or reduction of effort during order placement.   This need has just accentuated due to overdose of excessive choices everywhere. I call it “analysis paralysis” days of e-commerce. There are 2m ecom sellers in india. Even a simple “red dress” has 11k options and 1.3k brands on Myntra, a utility like power bank has 500+ SKUs. Ratio of products browsed to actual conversion has never been lower.   For the sake of simplicity, there are two types of shopping decisions – -  Inspiration led – very subjective. More discovery vs search. Applies for design oriented catg like apparel, home décor, jewelry, experiences -  Intent led – some degree of objectivity and standardization. There is science behind selection (e.g., rating/ review, lowest price) as attributes are measurable. Applies to flight tickets, electronics, food/ grocery   The good news is that there is a strong ‘why now’ for a new platform to exist across both – Gen AI!   Inspiration led:  With the advent of AI, search is now intelligent. It can move away from keyword/ tag-based search to context / semantic meaning based (which is exactly how humans think). It no longer just matches words but understands intent, meaning and can be used across all form factors (text, image, video) interchangeably. What this means is – searching “outfits for a trek”, “minimalistic themed white dining room” “dresses for a sunny day” can generate precise, curated results and inspiration visuals (vs thousands of loosely relevant options earlier). It can then scan through all brands and marketplaces to find the closest match.   All of this leads to a conversational and discovery led version of Myntra where need to scan 200 options before a purchase, can be skipped.   The cherry on top is personalization (which hasn’t been done well in typical ecommerce) driving curated products based on your history/ taste.   Intent led: Possibility of AI agents to execute end to end purchase. Any decision that can be broken into logic and micro steps should no longer require a human for execution (e.g., book cheapest flight from DEL to MUM on XX date closer to noon; buy spinach from Blinkit and best reviewed yet priced in bottom 10%ile power bank from a trusted seller on AMZ).   We will enter an era of curation led commerce where anyone that can shorten the thinking process can build a large scale ecommerce platform. Maybe the next set of ecommerce would start as affiliate platform (layer on other ecom) before they finally make it big on their own.

70% of business owners find it hard to boost their conversion rate beyond a certain number. Most have tried: - improving their copy - improving their product images - different offers and FOMO strategies Yet they struggle to move the conversion needle. That's when I suggest looking at something more fundamental. The information hierarchy. It's the order in which you arrange content. The most important, relevant information/sections being shown first. Ignoring information hierarchy can make your users feel confused, uninformed, or even miss crucial steps. Ultimately making them bounce or not convert. In this example, using daily objects product page, I've implemented changes that can increase the conversion rate by improving the information hierarchy. Below are the 6 changes I recommend a/b testing - 1. Adding an announcement bar highlighting a sale, an offer you're running, or your free shipping threshold. 2. Moving the product name, reviews, and price above the image. This way, the space b/w the image and add-to-cart is reduced. Making it appear closer than it is. 3. Adding image thumbnails. This is critical if your images contain information like product features. 4. Showing product benefits before the add-to-cart CTA in an easy-to-consume format (like bullet points). 5. Optimizing the area around the add-to-cart by highlighting the shipping and return policies. 6. Highlighting offers close to add-to-cart as that's when the user is considering taking an action. Other changes I made: 1. Adding the logo bar with hamburger, search, and cart icon. This is important to maintain if you're driving ad traffic directly to product pages. 2. Adding the in-line / within-the-page add to cart. I'm seeing more brands removing the within-the-page add to cart CTA and replacing it with a sticky one. Make sure you a/b test this before implementing. 3. In the options section, adding an action verb like 'Choose' or 'Select' next to 'Color', 'Size'. This prompts the user to take an action. Found this useful? Let me know in the comments! P.S. The best way to identify gaps in your information hierarchy is by using heatmaps and scroll-maps tools like Microsoft Clarity. It's free to use and can help you back your hypothesis with actual user insights. #conversionrateoptimization #uxdesign

What GPT did for writing and Midjourney did for visuals… Glance AI might just be doing the same for how we shop. Most digital commerce still looks like 2012. Grids. Filters. Scroll fatigue. Then I tried Glance AI and for the first time, it didn’t feel like “shopping.” It felt like interaction design finally caught up. One selfie in, and I wasn’t browsing tiles anymore. I was seeing 15 outfits, styled on me — photoreal, well-lit, vibe-aligned. Not mockups. Not guesswork. Actual looks generated on my face and body, and mapped to real inventory from 400+ brands. And the interface? Surprisingly minimal. No deep menus. No category overwhelm. Just one core loop: Selfie → Visual styling → Buy. As a designer, this breaks the old UX playbook. You’re not designing containers. You’re designing outcomes. Glance AI does this using:  → Geometry-led modelling (not masks or AR hacks)  → Real-time inventory intelligence → A personalization engine trained on visual + behavioral signals And it works across contexts — phones, TVs, commerce websites. It’s an India-first build with a global rollout, already live in San Francisco. This is what AI-native UX looks like. Not smarter filters. Smarter defaults. Not personalization-as-a-layer. Personalization is the product. #GlanceAI #AICommerce #FutureOfCommerce

Ecommerce SEO Tip: REI's "Expert Advice" feature is a brilliant example of how to integrate expert content + a commerce page. One question we get asked a lot by eCommerce clients is how to better optimize their category pages. Oftentimes, optimizing these this content is limited since stores are limited by their SKUs, filtering options, existing modules and more. A suggestion that commonly comes up is how to integrate existing informational content such as buying guides and blog posts on relevant category pages. While the suggestion is interesting, oftentimes there's pushback since this type of content could infringe on the purchasing experience. REI has a fantastic solution of creating a separate tab at the top of their category pages that includes the "Expert Advice" heading. This allows for an easy connection to informational content. Clicking this module expands related articles to the category page (Best Hiking Boots, How To Break In Hiking Boots). To me, this is one of the most creative integrations of informational content and a commerce page. It allows for users and search engines to connect the informational content to the core page without interrupting the shopping experience.

At the Agentic Commerce Lab, we’re exploring a simple but slightly heretical idea: What if storefront UIs are no longer designed first… but reasoned into existence by AI agents? 🤖 This week, Lukas Rump shipped a sharp proof of concept that makes this very concrete. SwagA2UI connects a LangGraph agent to a Nuxt 3 storefront via the A2UI protocol. The agent streams UI layouts as JSONL. The browser renders them live. Optionally, they compile straight into Vue components for Shopware Frontends. End to end. Product discovery to checkout. No mockups. No handoffs. What makes this interesting is not the demo itself. It’s the direction. We are moving from static, human-designed interfaces to dynamic, agent-generated commerce surfaces. ➡️ Agents that understand intent. ➡️ Agents that know the product model. ➡️ Agents that generate the UI as a function of context. This is how agentic commerce starts to feel real. UI as a runtime artifact. Frontend as a living system. Early. Experimental. Rough around the edges. 🧪 But this is the kind of work that quietly redraws the map. Strong work, Lukas 🙌. This is exactly the kind of exploration that brings commerce to the next level: 🔗 https://lnkd.in/d3spq8Ed #AgenticCommerce #A2UI #AIInterfaces #Shopware #FutureOfCommerce

Neo-Botanicals: Beauty relief from digital fatigue? Nostalgia illustration is having a major moment, Especially among lifestyle and fashion brands aiming to resonate with Gen Z. But this isn’t just about aesthetics, it’s a calculated SHIFT, rooted in cultural research, behavioral trends, and shifting consumer values. +73% Gen Z consumers say they feel emotionally comforted by content and design that echoes the past. Lifestyle brands are accelerating these retro-inspired visuals everywere from product packaging to social feeds. The growing love for nostalgia isn’t about dwelling in the past, it’s about finding emotional CLARITY in a fast-paced, hyper-digital environment. +120% year-over-year spike in searches for terms like “vintage art” and “retro aesthetic outfit.” +58% Gen Z shoppers prefer brands that have a distinct visual identity grounded in storytelling and nostalgic references. >>WHAT’s driving the trend?<< 1- DIGITAL FATIGUE: Analog-style art cuts through the noise of overly polished screens. 2- SUSTAINABILITY: Vintage aesthetics naturally complement upcycling and second-hand culture. 3- RETURN to the HUMAN TOUCH: Consumers are tired of slick, overproduced visuals, they want illustrations that feel imperfect, personal, and handmade. >>NOSTALGIA-based design<< Forecasts suggest that “Neo-nostalgia” will dominate visual branding through 2026, as Gen Alpha starts entering the consumer space and Gen Z continues shaping cultural taste. Of course, at the same time, AI and generative tools are making retro-style illustration more accessible than ever, allowing brands to create bespoke, vintage-inspired visuals at scale, for seasonal collections, one-off drops, or branded storytelling, without breaking budgets. >>STYLES worth exploring<< + Rococo fashion sketches + Toile de Jouy motifs + Chinoiserie patterns + Botanical and scientific illustration + Neoclassical engravings My Takeaway: Vintage illustration isn’t a flash-in-the-pan trend. It’s a forward-thinking design strategy for brands that want to engage Gen Z’s deep appreciation for irony, emotion, and artistic authenticity. In a sea of sameness, it signals substance. Smart brands are already leaning in. Explore my curated archive of illustration styles and go for your next HIT! featured Brands: Awake Bäume Dr. Cory Fire GrandHand Hay Organics Huggy Iroe Loath Loewe Poes Rots Sagire Serafim #beautybussines #beautyprofessionals #luxurybussines #luxuryprofessionals

🛍️🎯 Personalization in B2C Marketing: Enhancing Customer Experiences In the realm of B2C marketing, personalization is a powerful tool that can significantly enhance customer experiences and drive brand loyalty. Let's delve into the importance of personalization and explore strategies for tailoring messages, recommendations, and promotions to individual consumer preferences: **1. Understanding Individual Preferences: Personalization starts with understanding your customers on an individual level. Collect data on their purchase history, preferences, and interactions with your brand across various touchpoints. **2. Segmentation for Targeted Communication: Use segmentation to categorize your audience based on shared characteristics. This allows you to create targeted marketing campaigns that resonate with specific groups, delivering more relevant content. **3. Tailored Messaging and Content: Craft personalized messages that speak directly to the interests and needs of your customers. Whether it's email marketing, social media posts, or product recommendations, tailor the content to match individual preferences. **4. Dynamic Website Content: Implement dynamic content on your website that adapts based on user behavior and preferences. This can include personalized product recommendations, content suggestions, or even a personalized homepage experience. **5. Personalized Email Campaigns: Leverage personalization in email campaigns by addressing recipients by name and recommending products or content based on their past interactions. Use dynamic content blocks to tailor the email content for different segments. **6. Recommendation Engines: Implement recommendation engines on your website and other digital platforms. These engines analyze user behavior to suggest products or content that align with individual preferences, fostering a personalized shopping or browsing experience. **7. Behavioral Retargeting: Utilize behavioral retargeting to reconnect with users who have visited your website but didn't make a purchase. Display personalized ads showcasing the products they viewed, encouraging them to return and complete the transaction. By embracing personalization in B2C marketing, businesses can foster stronger connections with their audience, increase customer satisfaction, and ultimately drive higher conversion rates. 🛒💻 #B2CMarketing #Personalization #CustomerExperience