Store Traffic Analysis

🔎 How To Redesign Complex Navigation: How We Restructured Intercom’s IA (https://lnkd.in/ezbHUYyU), a practical case study on how the Intercom team fixed the maze of features, settings, workflows and navigation labels. Neatly put together by Pranava Tandra. 🚫 Customers can’t use features they can’t discover. ✅ Simplifying is about bringing order to complexity. ✅ First, map out the flow of customers and their needs. ✅ Study how people navigate and where they get stuck. ✅ Spot recurring friction points that resonate across tasks. 🚫 Don’t group features based on how they are built. ✅ Group features based on how users think and work. ✅ Bring similar things together (e.g. Help, Knowledge). ✅ Establish dedicated hubs for key parts of the product. ✅ Relocate low-priority features to workflows/settings. 🤔 People don’t use products in predictable ways. 🤔 Users often struggle with cryptic icons and labels. ✅ Show labels in a collapsible nav drawer, not on hover. ✅ Use content testing to track if users understand icons. ✅ Allow users to pin/unpin items in their navigation drawer. One of the helpful ways to prioritize sections in navigation is by layering customer journeys on top of each other to identify most frequent areas of use. The busy “hubs” of user interactions typically require faster and easier access across the product. Instead of using AI or designer’s mental model to reorganize navigation, invite users and run a card sorting session with them. People are usually not very good at naming things, but very good at grouping and organizing them. And once you have a new navigation, test and refine it with tree testing. As Pranava writes, real people don’t use products in perfectly predictable ways. They come in with an infinite variety of needs, assumptions, and goals. Our job is to address friction points for their realities — by reducing confusion and maximizing clarity. Good IA work and UX research can do just that.

Your customer journey map is missing the 8 touchpoints that matter most. You've optimised your ads, polished your landing pages, and A/B tested your emails to death. But whilst you've been obsessing over the obvious touchpoints, your customers have been forming opinions about your brand in places you've completely overlooked. These hidden moments of truth determine whether customers stick around or silently disappear. The good news? Your competitors are probably ignoring them too. 1. Pre-awareness Influences • What it is: Social conversations & word-of-mouth before formal brand discovery • Why it's missed: Difficult to track & attribute • Optimisation tip: Create shareable content specifically designed for peer-to-peer sharing • Impact potential: ⭐⭐⭐⭐ 2. Post-Purchase Onboarding • What it is: The critical first 24-48 hours after purchase when buyers seek validation • Why it's missed: Teams focus on acquisition, not retention • Optimisation tip: Create "success accelerator" emails with usage instructions • Impact potential: ⭐⭐⭐⭐⭐ 3. Product Documentation • What it is: Help guides, FAQs, & support materials • Why it's missed: Often delegated to technical teams without marketing input • Optimisation tip: Inject brand personality into help documentation • Impact potential: ⭐⭐⭐ 4. Customer Support Interactions • What it is: The conversations with service teams that shape perception • Why it's missed: Viewed as cost center, not marketing opportunity • Optimisation tip: Create scripts that highlight complementary products/features • Impact potential: ⭐⭐⭐⭐ 5. Digital "Dead Ends" • What it is: 404 pages, out-of-stock notifications, & other negative pathways • Why it's missed: Seen as technical errors, not opportunities • Optimisation tip: Transform dead ends into discovery points with recommendations • Impact potential: ⭐⭐⭐ 6. Transaction Confirmations • What it is: Receipts, shipping notifications, & order confirmations • Why it's missed: Treated as operational communications only • Optimisation tip: Include personalised next-best action recommendations • Impact potential: ⭐⭐⭐⭐ 7. Post-Usage Check-ins • What it is: The period after customer has used your product for intended purpose • Why it's missed: Customer journey maps often end at purchase or initial use • Optimisation tip: Create timely follow-ups based on typical usage patterns • Impact potential: ⭐⭐⭐⭐⭐ 8. Community Participation • What it is: Customer-to-customer interactions in forums & social spaces • Why it's missed: Difficult to scale & often understaffed • Optimisation tip: Identify & empower customer advocates within communities • Impact potential: ⭐⭐⭐⭐ Your marketing doesn't end where your analytics dashboard stops tracking. The brands that will win tomorrow are already investing in these invisible touchpoints today. Which one will you optimise first? ♻️ Found this helpful? Repost to share with your network.  ⚡ Want more content like this? Hit follow Maya Moufarek.

What's your approach to designing user flows? ✏️ -Understand the User and Goals: Start by gaining a deep understanding of the target users, their needs, and their goals. Conduct user research, interviews, and surveys to gather insights into their behaviors, pain points, and motivations. Define User Personas: Create user personas to represent different segments of your target audience. Personas help humanize the users and guide the design process to meet their specific needs. -Map the User Journey: Outline the entire user journey from the initial touchpoint to the final goal. This involves understanding the various stages users go through when interacting with your product and identifying potential entry and exit points. Identify Key User Tasks: Identify the primary tasks users want to accomplish within your product. Focus on the core functionality and prioritize these tasks in the user flow. Create a Flowchart: Visualize the user flow by creating a flowchart. Use arrows to show the sequence of steps users will take to complete their tasks. Consider different scenarios and decision points they might encounter. Keep it Simple and Intuitive: Aim for simplicity and clarity in the user flow. Minimize the number of steps required to achieve a task and avoid unnecessary complexity that could confuse users. Consistency across Platforms: If your product is available on multiple platforms (e.g., web, mobile), ensure a consistent user flow across all of them. Users should feel comfortable and familiar with the flow, regardless of the device they are using. Anticipate User Errors: Design the user flow with the anticipation of user errors or confusion. Provide clear error messages and guidance to help users recover quickly. User Testing and Iteration: Test the user flow with real users through usability testing sessions. Analyze the feedback and data to identify pain points and areas of improvement. Iterate and refine the user flow based on the insights gained. Collaborate with the Team: Involve stakeholders, designers, developers, and other team members in the user flow design process. Collaborative efforts lead to a more comprehensive and well-rounded user experience. Consider Edge Cases: Take into account edge cases and less common scenarios in your user flow design. This ensures that your product is accessible and usable for all users, regardless of their specific circumstances. Accessibility and Inclusivity: Design with accessibility and inclusivity in mind. Ensure that the user flow is usable by people with disabilities and diverse backgrounds.

A client came to us frustrated. They had thousands of website visitors per day, yet their sales were flat. No matter how much they spent on ads or SEO, the revenue just wasn’t growing. The problem? Traffic isn’t the goal - conversions are. After diving into their analytics, we found several hidden conversion killers: A complicated checkout process – Too many steps and unnecessary fields were causing visitors to abandon their carts. Lack of trust signals – Customer reviews missing on cart page, unclear shipping and return policies, and missing security badges made potential buyers hesitate. Slow site speeds – A few-second delay was enough to make mobile users bounce before even seeing a product page. Weak calls to action – Generic "Buy Now" buttons weren’t compelling enough to drive action. Instead of just driving more traffic, we optimized their Conversion Rate Optimization (CRO) strategy: ✔ Simplified the checkout process - fewer clicks, faster transactions. ✔ Improved customer testimonials and trust badges for credibility. ✔ Improved page load speeds, cutting bounce rates by 30%. ✔ Revamped CTAs with urgency and clear value propositions. The result? A 28% increase in sales - without spending a dollar more on traffic. More visitors don’t mean more revenue. Better user experience and conversion-focused strategies do. Does your ecommerce site have a traffic problem - or a conversion problem? #EcommerceGrowth #CRO #DigitalMarketing #ConversionOptimization #WebsiteOptimization #AbsoluteWeb

One of the best things I did as a product leader at Depop was make every team stick their customer journey map on the wall where they sat. It took a little encouragement at first. But soon the walls were overflowing with customer quotes, pain points, prototypes and mental models. You didn't need to ask how a team thought about a problem. You could walk over and see for yourself. Stakeholders couldn't make feature suggestions without the full context staring them in the face. Everyone was more aligned. As with other product artefacts, not all CJMs are created equally, so here's a brief guide to making a GREAT one: 𝗢𝗡 𝗧𝗛𝗘 𝗠𝗔𝗣 A CJM breaks the user journey into steps, then captures what happens at each one: • What they see • What they touch • How it makes them feel Touchpoints are every interaction: app screens, emails, support calls, physical product, sales conversations. Not just the app. Look at it from the customer's POV. Thoughts and emotions are the consequence of the touch points. Look for areas of delight to double down on, and frustration to ease. 𝗛𝗢𝗪 𝗧𝗢 𝗕𝗨𝗜𝗟𝗗 𝗢𝗡𝗘 1. Pick a persona. One user type, one goal. Start narrow. 2. Break the journey into steps from the customer's point of view, not yours. 3. Add touchpoints. Include everything: digital, physical, human. 4. Add thoughts and feelings. What do they like? Where do they get stuck? 5. Enrich with data. Quant, customer quotes, feature ideas. 6. Identify where to act. Fix the abandonment cliffs and you polish delight moments. You can do a rough draft on your own in 1-2 hours. But you get much richer insights and alignment by building this in a cross-functional workshop. 𝗖𝗢𝗠𝗠𝗢𝗡 𝗠𝗜𝗦𝗧𝗔𝗞𝗘𝗦 • "Once and done". You run the workshop, create the artefact and then never use it. • Detached from reality. You document what you think, not what your customers' think. • Product focus. You map the screens, not the holistic flow from the customer POV. • Qualitative only. You don't include hard metrics that help you size problems. Free Miro + Figma templates + guide: https://lnkd.in/eK8u8ZkS 13x real examples (Spotify, Airbnb, eBay, Uber + more): https://lnkd.in/e-THGRYw Webinar walk through: https://lnkd.in/ebHa3FKK Product Discovery course: https://lnkd.in/etJAQnP6 --- Hustle Badger gives super practical advice to Product Managers and anyone who wants to master AI. → Courses → Templates → Playbooks → Community

I just spent 47 hours optimizing checkout for a fitness and wellness brand. Here's how we turned their biggest revenue leak into a 14% conversion boost. Last month, a D2C fitness and wellness brand reached out with a problem that's haunting most e-commerce founders: "Our traffic is great, our products are selling, but we're losing customers at the final step." When I dug into their data, the picture was clear: → Customers abandoning carts during lengthy checkout flows → Returning buyers frustrated with re-entering the same details → Zero visibility on who was leaving and why → No way to retarget lost customers Here's exactly what I did: Hour 1-15: Audit & Analysis I mapped their entire checkout journey. Found 8 friction points and 3 critical data gaps. Hour 16-32: Solution Implementation Integrated Razorpay Magic Checkout to: 👉 Pre-fill customer information automatically 👉 Reduce checkout steps from 6 to 2 👉 Create detailed abandoned cart tracking 👉 Enable real-time retargeting capabilities Hour 33-47: Testing & Optimization A/B tested the new flow, monitored user behavior, and fine-tuned the experience. The results after 30 days: ✅ 14% increase in conversion rate ✅ 5x faster checkout process ✅ Complete abandoned cart visibility ✅ 35% recovery rate on abandoned carts The biggest insight? Most brands treat checkout as a technical afterthought. But it's actually where your entire funnel either converts or collapses. This client went from losing 7 out of 10 customers at checkout to converting nearly 8 out of 10. Same traffic. Same products. Different checkout experience. The lesson I'm taking to every client now: Your payment flow isn't just about collecting money, it's about respecting your customer's time and removing every possible barrier between intent and purchase. For fellow consultants and founders: What's the biggest conversion killer you've seen in e-commerce? Drop your thoughts below.

Cold traffic and warm traffic aren't the same. Stop talking to them like they are. Someone discovering your brand for the first time isn't in the same headspace as someone who's already added to cart. But most brands message them exactly the same way. And that's where a lot of budget quietly disappears. The reality is, different people at different stages all need something different from you. So here's how successful ecommerce brands actually turn traffic into revenue: (and revenue into repeat customers) 1️⃣ Awareness → Get on their radar ↳ Cold traffic. They don't know you yet. ↳ Show up through paid social, organic content, creators, and top-of-funnel SEO. Track: impressions, reach, video views, new visitors. Focus on: Real product in real life. Scroll-stopping creative. Problem and outcome, not features. Test hooks quickly. 2️⃣ Consideration → Help them decide ↳ They're browsing and comparing, not buying yet. ↳ They're on your product pages, scanning reviews, maybe signing up for emails. Track: time on site, return visits, email opt-ins. Focus on: Answer their questions before they ask. Use reviews, FAQs, UGC to reduce doubt. Make benefits obvious. Surface pricing, shipping, and returns early. 3️⃣ Intent → Capture the moment ↳ They've added to cart. They're close. ↳ Abandoned cart flows, on-site nudges, and retargeting matter most here. Track: add-to-cart rate, abandonment rate, retargeting ROAS. Focus on: Gentle urgency. Consistent messaging. Reminders over discounts. Remove every step that isn't necessary. 4️⃣ Conversion → Turn intent into revenue ↳ They're in checkout. Stay out of their way. Track: conversion rate, AOV, checkout drop-off. Focus on: Fast, predictable checkout. Trusted payment options. Subtle upsells. Clear delivery and support expectations. 5. Loyalty → Turn buyers into repeat customers ↳ The sale isn't the finish line, but the beginning of the next one. ↳ This is where retention flows, loyalty programs, and post-purchase content earn their value. Track: repeat purchase rate, LTV, referral rate. Focus on: Personalize based on past purchases. Reward behavior, not just spend. Make returning easier than leaving. Revenue compounds when each stage feeds the next. Not when channels run in isolation. Where does most of your budget go — awareness or retention? ♻️ Share this to help a team simplify. Follow me, Francesco Gatti, for more on ecommerce growth.

Busy plants aren’t always productive plants. That’s the fastest way to lose money quietly. Most plants look busy. Most machines look utilized. Most dashboards look green. And yet… output stalls, orders slip, and customers feel it first. This visual explains why. Through my experience, I’ve learned a hard truth: Throughput is not the sum of efficiencies—it is controlled by one constraint. What this bottleneck analysis really shows 1️⃣ Capacity Upstream ≠ Throughput Downstream You can widen capacity everywhere: - Faster suppliers - Bigger supermarkets - Higher utilization in Process A None of it matters if one step produces slower than takt. The hourglass doesn’t lie. 2️⃣ Takt Time Is the Customer’s Voice Takt time is not an internal target. It’s the market pulling on your system. When any process: Has capacity < takt Suffers instability or downtime It becomes the constraint—whether you label it or not. 3️⃣ The Bottleneck Is the Revenue Gate Every minute lost at the bottleneck is: - Lost throughput - Lost sales - Lost trust WIP piles up before it. Starvation happens after it. And leaders often chase symptoms in both directions. 4️⃣ Local Optimization Makes the Constraint Worse Speeding up non-bottlenecks: - Increases inventory - Hides the real problem - Creates false confidence The system doesn’t need more effort. It needs constraint focus. 5️⃣ Flow Stops Where Discipline Stops Downtime, stoppages, queues, and withdrawals don’t happen randomly. They happen when: - Capacity planning ignores variability - Flow decisions aren’t constraint-led Management attention is spread evenly instead of intentionally Why this matters High-performing plants don’t ask: “How do we improve everything?” They ask: “What limits us right now—and how do we protect it?” Because when the constraint flows: - Lead time collapses - WIP stabilizes - Revenue follows The rest of the system naturally falls into line. The best operations don’t chase utilization. They design flow around the constraint. If this resonates, happy to exchange notes on real-world impact and ROI. Curious question to leave you with: In most plants, the bottleneck is known—but not addressed. Is that what you see as well?

If a candidate can’t answer this question, we don’t move forward. The prompt is simple: The CEO of a 9-figure client calls you and says: “Flow revenue is down.” That’s it. No context. No dashboards. What do you do next? Here’s what a sharp operator walks us through: Step 1: Is anything broken? Before you touch a single email, check for technical issues. - Did a dev push break a tag or trigger? - Are flows still firing? - Has traffic or recipient volume dropped suddenly? This sounds obvious, but most people skip it. Step 2: Check website traffic (Month-to-date, YoY) Flows run on traffic. If ads are off or performance tanks on paid, email revenue drops too. You can’t fix flows if you’re not getting volume. Zoom in: Where exactly is the drop coming from? Step 3: Campaign sends + recipients Same number of sends doesn’t mean same reach. - Are you reaching fewer people? - Did segment rules get tighter? - Are sends down YoY? Even subtle list changes can skew your baseline. Step 4: Offers + promo windows The context around your flows matters. - Was there a promo this time last year that isn’t running now? - Did the welcome offer drop from 15% to 10%? - Was there a spring campaign you skipped this year? Changes here impact conversion across the board. Step 5: Audit your top 5 flows Now you zoom in on the actual content. - Which flows are underperforming? - Any drop-offs in specific emails? - Are you actively testing subject lines, creative, CTAs? Sometimes, the emails are solid, but one wrong filter and the flow could be broken. If your first instinct is to recreate a flow because it feels off, you’re missing the bigger picture. Fix the system before you fix the flow. Data over guesswork. Always.

Every 0.5% boost in website conversion is another rep you don’t have to hire. For many organizations, lifting the rate from 2% to 2.5% unlocks seven‑figure gains in pipeline, yet the website often slips down the priority list. Here are nine universal, low‑lift experiments you can run to change that (no matter your product, service, or sector): 1) Clarify the hero message: Replace broad taglines with a concise outcome plus proof point. Example: “Reduce monthly close time by half. See the three‑step process.” Measure clicks on your primary call to action (CTA). 2) Test CTA language and placement: Compare “Get a quote,” “Start your free assessment,” and “Talk to an expert.” Track click‑through and completion rates for each variant. 3) Dynamic vs. static social proof: Rotate short client success statements or video clips beneath the fold instead of a static logo strip. Gauge changes in time on page and scroll depth. 4) Transparent pricing or value breakdown: Even in enterprise sales, adding tier snapshots or a cost calculator can boost inquiries. But if you can be transparent about your pricing, do. It's a great way to remove friction from your sales cycle. Measure form submissions and self‑serve starts (if applicable). 5) Exit‑intent offer vs. persistent chat: Show a 60‑second product walkthrough (I like Storylane for this) when a visitor moves toward the browser bar. Compare captured emails and chat‑to‑meeting conversions. 6) Intent‑based routing: Identify high‑intent pages—pricing, case studies, or specifications—and route visitors to shorter forms or direct calendar booking. (Pro tip: Using Warmly, can help you identify these visitors before they even enter a form so you...this is gold for your ABM program.) Track speed‑to‑opportunity. 7) Improve page speed and core web vitals: Compress images, defer non‑critical scripts, and lazy‑load media. Yes, this is tedious. But it's worth it. Many studies tie every 100 ms shaved off load time to roughly a 1% lift in conversion. 8) Personalize headlines for priority segments: Use reverse IP, cookies, or UTM parameters to swap “Project management software” with “Project management for construction firms.” Measure segment‑level conversions. 9) Reframe the inquiry form: Surround the form with a brief checklist of “What you’ll gain in the call” or “Deliverables you’ll receive.” Monitor completion and drop‑off rates. How to run these tests effectively: - Run one test at a time so you know what is actually making an impact. - Let tests run through at least two full buying cycles or a statistically significant sample size. - Share outcomes with sales, success, and finance teams. Connecting small percentage lifts to real revenue helps everyone rally behind continuous website optimization. Your website works around the clock. A handful of data‑driven tweaks can turn it into your most reliable growth engine. Which experiment will you tackle first?