Web Design for E-commerce

🚨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

Nostalgia-driven design, leading GenZ luxury. Over 73% of Gen Z consumers say they find comfort in content and design that echo the past. This trend is surging, especially within lifestyle and fashion brands eager to capture Gen Z’s attention. But it’s more than just a vibe → it’s a calculated strategy backed by cultural data, behavioral insights, and shifting consumer expectations. Brands are using these nostalgic illustration styles across packaging, social channels, and product design. This isn’t about living in the past → it’s about creating emotional stability in an overstimulated digital world. +120% YoY growth in searches for “vintage cartoon art” and “retro aesthetic outfit.” +58% of Gen Z shoppers prefer brands with “a strong aesthetic identity built on storytelling and nostalgia.” >> Nostalgia-driven design is here to stay << Reports forecast that “neo-nostalgia” will shape aesthetic strategies through 2026, fueled by Gen Alpha entering the market while Gen Z influence peaks. AI and generative tools now make vintage illustration scalable, letting brands customize retro looks for seasonal launches or limited drops, while staying cost-efficient. Drivers of this shift: +Digital Burnout → Analog, tactile-inspired visuals stand out in screen-heavy lives. +Sustainability → Vintage aesthetics align naturally with thrift and upcycling culture. +Anti-Overdesign → Consumers crave imperfect, hand-drawn, human art after years of hyper-polished branding. >> Illustration styles to explore << +Rococo Fashion Plates +Toile de Jouy Patterns +Chinoiserie +Scientific & Botanical Illustration +Neoclassical Engravings Bottom line: Vintage illustration isn’t retro-for-retro’s sake, it’s a future-proof strategy to connect with Gen Z’s blend of irony, emotion, and aesthetic intelligence. It signals authenticity in a crowded market. Explore my curated set of luxury illustrations for inspiration and growth. Featured brands: Aerthen Be.a.man Byredo Chanel Christian Dior Dr. Cory Fiore Gucci Loewe Poes #beautybusiness #beautyprofessionals #luxurybusiness #luxuryprofessionals

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

⏱️ How To Measure UX (https://lnkd.in/e5ueDtZY), a practical guide on how to use UX benchmarking, SUS, SUPR-Q, UMUX-LITE, CES, UEQ to eliminate bias and gather statistically reliable results — with useful templates and resources. By Roman Videnov. Measuring UX is mostly about showing cause and effect. Of course, management wants to do more of what has already worked — and it typically wants to see ROI > 5%. But the return is more than just increased revenue. It’s also reduced costs, expenses and mitigated risk. And UX is an incredibly affordable yet impactful way to achieve it. Good design decisions are intentional. They aren’t guesses or personal preferences. They are deliberate and measurable. Over the last years, I’ve been setting ups design KPIs in teams to inform and guide design decisions. Here are some examples: 1. Top tasks success > 80% (for critical tasks) 2. Time to complete top tasks < 60s (for critical tasks) 3. Time to first success < 90s (for onboarding) 4. Time to candidates < 120s (nav + filtering in eCommerce) 5. Time to top candidate < 120s (for feature comparison) 6. Time to hit the limit of free tier < 7d (for upgrades) 7. Presets/templates usage > 80% per user (to boost efficiency) 8. Filters used per session > 5 per user (quality of filtering) 9. Feature adoption rate > 80% (usage of a new feature per user) 10. Time to pricing quote < 2 weeks (for B2B systems) 11. Application processing time < 2 weeks (online banking) 12. Default settings correction < 10% (quality of defaults) 13. Search results quality > 80% (for top 100 most popular queries) 14. Service desk inquiries < 35/week (poor design → more inquiries) 15. Form input accuracy ≈ 100% (user input in forms) 16. Time to final price < 45s (for eCommerce) 17. Password recovery frequency < 5% per user (for auth) 18. Fake email frequency < 2% (for email newsletters) 19. First contact resolution < 85% (quality of service desk replies) 20. “Turn-around” score < 1 week (frustrated users → happy users) 21. Environmental impact < 0.3g/page request (sustainability) 22. Frustration score < 5% (AUS + SUS/SUPR-Q + Lighthouse) 23. System Usability Scale > 75 (overall usability) 24. Accessible Usability Scale (AUS) > 75 (accessibility) 25. Core Web Vitals ≈ 100% (performance) Each team works with 3–4 local design KPIs that reflects the impact of their work, and 3–4 global design KPIs mapped against touchpoints in a customer journey. Search team works with search quality score, onboarding team works with time to success, authentication team works with password recovery rate. What gets measured, gets better. And it gives you the data you need to monitor and visualize the impact of your design work. Once it becomes a second nature of your process, not only will you have an easier time for getting buy-in, but also build enough trust to boost UX in a company with low UX maturity. [more in the comments ↓] #ux #metrics

How I use 7 SEO/CRO tips to increase product page profits. 7 examples to put 8-figures through PDPs: There's no secret or hack to a winning product page. We HAVE to test for incremental gains. CRO helps SEO. SEO helps CRO. Here's 7 product page tips: 1. Crush Product attributes: (Most DTC brands struggle with this) - Audit competitor product pages - Use data research tools for digging - Improve on ranking factors like titles & descriptions - Find and fill content gaps 2. Customer reviews built trust with DTC purchasing: (Increase conversions with reviews) - Encourage reviews for social proof - Show off your customer ratings - Google crawls reviews - Build credibility with authentic testimonials 3. Invest in high-quality digital assets: (Conversions are built on visuals) - Use and rank your photos & videos - Create engaging product videos - Optimise images for customers & search engines - Use visuals to create a "wow" effect 4. Use 101 sales psychology: (Create urgency, authority, proof) - Use urgency -> limited time offers - Create authority with influenced UGC - Display scarcity -> low stock warnings - Use social proof  -> popular items, reviews 5. Cut your jargon: (Focus on solutions, not hype) - Address customer problems directly - Offer clear product benefits - Avoid overhyped language or buzzwords - Use simple language -> like this post 6. Build in your value proposition: (Highlight unique product benefits) - Showcase how your product solves problems - Show your unique selling points - Align product benefits with customer needs - Focus on outcomes, not just features 7. Use segmented FAQs: (Answer key customer questions) - Address common customer concerns - Include product-specific FAQs - Reduce buyer friction with clear answers - Keep FAQs easy to find and click through SEO is ranking for transactions. That's it. Extra tip in the comments 👇 ----- No brand should have stagnant product pages. Brands have changed the game with product pages. Your brand needs to keep up with customer demands. 9-figure DTC brands spend big budgets on testing. Nothing is saying you can't take a little inspo 😉 Spending your marketing budget on acquiring customers is just one part of your marketing strategy.  You now have to work on increasing conversions 💳 What would you add to increase product page engagement? P.S. I like to visualise and map out systems. #Shopify | #SEO | #ecommerce

I recently attended a workshop on data-driven strategies for e-commerce growth, hosted by ET BrandEquity and CleverTap. Here's what I took away: The truth is, most e-commerce businesses are leaving money on the table. They're not using data to inform their decisions, and as a result, they're missing out on conversions. 🚫 🤔 Reflect on this: 1️⃣ Are you using data to drive your e-commerce strategy, or are you relying on intuition? 2️⃣ What metrics are you using to measure the success of your e-commerce business? 3️⃣ Are there any areas of your business where you're not using data to inform your decisions? 💡 Tips for Boosting Conversions with Data-Driven Strategies: 👉 Start with the customer journey: Use data to map out the customer journey, and identify areas where you can improve the experience. 👉 Use continuos testing to optimize: Rather than just A/B testing, try continuous testing to try out different variations of your website, emails, and ads, and see what performs best. 👉 Segment your audience: Use data to segment your audience, and tailor your marketing efforts to each group. 👉 Focus on the metrics that matter: Don't get distracted by vanity metrics. Focus on the metrics that truly drive business results, such as conversion rates and customer lifetime value. 🚀 Try These Mindset Shifts: ✅ From "We've always done it this way" to "What does the data say?" ✅ From "I'm not a data person" to "I can learn to use data to drive my business." ✅ From "We're doing okay" to "We can always improve, and data can show us how." #Ecommerce #DataDrivenMarketing #ConversionOptimization

Being Human Clothing is one of India's most recognised retail brands. Purpose-driven, digitally ambitious, and growing fast. And yet, the bigger they grew, the harder their operations worked just to keep pace. Orders coming in from multiple channels, each managed separately. Customer queries handled across disconnected tools. Catalogue updates that needed to go live in hours taking days. During peak season, the team wasn't focused on growth. Across the ecosystem, brands have spent the last decade building digital commerce by accumulating tools. One for orders. One for inventory. One for support. One for cataloguing. Each solved something in isolation. That's the problem Fynd was built to solve. Not to add to the stack, but to replace the fragmentation underneath it with a single, intelligent commerce operating system that scales by design. Today, Being Human operates through one unified system. Orders, customer communication, catalogue operations, all connected, all intelligent, all moving together. The results have followed. But more importantly, so has something harder to quantify: an operations team that's building forward instead of firefighting daily. As Vivek Sandhwar, COO of Being Human Clothing, reflected: “As our digital commerce footprint continues to expand, it was critical for us to work with a partner that could bring scale, stability, and intelligence to our operations.” We're at an inflection point in retail commerce. Brands are no longer asking whether to go digital. They're asking whether their digital foundation can actually support where they're going. Jimesh | Farooq | Sreeraman | Jigar | Kushan | Ronak

In #ecommerce growth, the first big challenge isn’t always what you think—it’s coming up with the right hypotheses to test. But here’s the good news: it’s not as hard as it seems. It all starts with your business analytics. Dig into the numbers, uncover patterns, and spot areas for improvement. The key is to focus on real indicators that impact revenue – conversion rates, cart abandonment, AOV, and retention. Once you have the data, it’s time to generate hypotheses. Think of it as structured brainstorming: ➝ What small tweak could improve checkout completion? ➝ How might a new product bundle increase AOV? ➝ Would a different ad angle bring in higher-quality traffic? At this stage, documentation is everything. Capture each idea, including: * The assumption behind it * The solution you want to test * The method for testing * The expected outcome * The current and target metrics But hypotheses don’t happen in isolation. Regular team discussions fuel better ideas. The best sessions: - Have a clear agenda - Ask specific questions about impact, effort, and ROI - Build on past experiments to refine strategies Yes, the process might feel slow at first. There might even be some resistance. But after a few cycles, it becomes second nature – and the rewards are huge. Not just higher profits, but a clear roadmap for growth, backed by data, experience, and continuous learning. ––– 🤘 Follow me, Gadashevich, for more insights on growing your e-commerce business #shopify