Ecommerce

The disconnect between sales managers and reps in 2025 is wild. Manager: "Just pick up the phone!" Rep: *sends 47 emails, 12 texts, 3 LinkedIn messages, and a carrier pigeon* Sound familiar? 😅 After 20+ years in sales, I've watched this communication gap grow wider every year. But here's what both sides are missing: It's not about choosing ONE channel. It's about understanding WHICH channel works WHEN. The most successful reps I've seen? They've cracked the code: **First 24 hours:** • Email → Sets professional tone • LinkedIn → Shows you've done homework • Text → Only if they've given permission **Days 2-5:** • Phone call → NOW it's time (they know who you are) • Voice note → Personal touch that stands out • Video message → Shows real effort **The truth?** Your manager's right - calls DO convert better. You're also right - cold calling blind is dead. The magic happens when you warm them up FIRST. Think of it like dating: You wouldn't propose on the first date. So why are we calling strangers without context? **My top 3 strategies that actually work:** 1. The "Permission Play" End every email with: "Would a quick call tomorrow at 2pm work to discuss?" (They expect it now = higher answer rate) 2. The "Multi-Touch Warm-Up" Email → LinkedIn view → Call within 48 hours (They recognize your name = 3x more likely to answer) 3. The "Context Creator" Reference their LinkedIn post before calling "Saw your post about X, had a thought..." (You're not a stranger = conversation not pitch) Here's the brutal truth: Managers: Your reps aren't lazy. They're adapting to how buyers ACTUALLY buy in 2025. Reps: Your manager isn't wrong. The phone still closes more deals than any other channel. Bridge the gap. Use both. Win more. What's your take - Team Phone or Team Omnichannel? P.S I'm running a FREE 6-week LinkedIn Social Selling Bootcamp starting Monday 15th Sept, grab a free spot here https://lnkd.in/eVmxsMbM

Last week, I shared how Gen AI is moving us from the age of information to the age of intelligence. Technology is changing rapidly and the way customers shop and buy is changing, too. We need to understand how the customer journey is evolving in order to drive customer connection today. That is our bread and butter at HubSpot - we’re deeply curious about customer behavior! So I want to share one important shift we’re seeing and what go-to-market teams can do to adapt. Traditionally, when a customer wants to learn more about your product or service, what have they done? They go to your website and explore. They click on different pages, filter for information that’s relevant to them, and sort through pages to find what they need. But today, even if your website is user-friendly and beautiful, all that clicking is becoming too much work. We now live in the era of ChatGPT, where customers can find exactly what they need without ever having to leave a simple chat box. Plus, they can use natural language to easily have a conversation. It's no surprise that 55% of businesses predict that by 2024, most people will turn to chatbots over search engines for answers (HubSpot Research). That’s why now, when customers land on your website, they don’t want to click, filter, and sort. They want to have an easy, 1:1, helpful conversation. That means as customers consider new products they are moving from clicks to conversations. So, what should you do? It's time to embrace bots. To get started, experiment with a marketing bot for your website. Train your bot on all of your website content and whitepapers so it can quickly answer questions about products, pricing, and case studies—specific to your customer's needs. At HubSpot, we introduced a Gen AI-powered chatbot to our website earlier this year and the results have been promising: 78% of chatters' questions have been fully answered by our bot, and these customers have higher satisfaction scores. Once you have your marketing bot in place, consider adding a support bot. The goal is to answer repetitive questions and connect customers with knowledge base content automatically. A bot will not only free up your support reps to focus on more complex problems, but it will delight your customers to get fast, personalized help. In the age of AI, customers don’t want to convert on your website, they want to converse with you. How has your GTM team experimented with chatbots? What are you learning? #ConversationalAI #HubSpot #HubSpotAI

One of the most practical AI use cases in eCommerce right now isn’t a chatbot or a fancy personalization layer. It’s predicting a shopper’s future LTV before you spend the budget, and routing spend toward the people most likely to buy again. This is what I learned recently from Pecan AI which is quite interesting to me. And because most teams can’t do that today, they keep allocating budget evenly and running broad promos, hoping it works. 𝐏𝐞𝐜𝐚𝐧 𝐂𝐨-𝐏𝐢𝐥𝐨𝐭 changes the workflow: • You define the goal (e.g. “Predict 90-day LTV by channel and creative”) • It builds the predictive model for you • Then outputs ranked audiences and campaigns to scale, cap, or test, pushed directly into the tools you already use (ad platforms, CRM, email) No dashboards. Just actionable predictions. 📚 𝐄𝐱𝐚𝐦𝐩𝐥𝐞 𝐭𝐡𝐞𝐲 𝐬𝐡𝐚𝐫𝐞𝐝: A DTC apparel brand had strong AOV but low repeats from a few ad sets. Pecan flagged those cohorts as low predicted LTV, capped spend, and shifted budget to a lookalike built from high-LTV buyers → ROAS went up and discount costs dropped. This is the kind of AI that actually drives growth, not just adds another layer of complexity. Demo link → https://hubs.la/Q03BJHTF0 #AI #ecommerce #predictiveanalytics #martech

🤔Understanding 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 Let me break it down for you: In the 𝟭𝟵𝟵𝟬𝘀, with the rise of Ecommerce, the first payment gateways came into existence. However, they lacked today's advanced collection and reconciliation tools. The 𝟮𝟬𝟬𝟬𝘀 saw integrations between developers and gateways due to limitations in serving all customers through one gateway. By the 𝟮𝟬𝟭𝟬𝘀, PSPs transformed, introducing alternative payment methods, fraud prevention, and global payments in local currencies. The 𝟮𝟬𝟮𝟬𝘀 witnessed a shift, with over 60% of retailers using multiple payment providers and payment orchestration becoming essential for businesses. What is 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻? Drawing from the world of music, payment orchestration functions similarly to a maestro harmonizing an orchestra🎼 This system blends multiple payment processes, offering an efficient and streamlined transaction route. It centralizes various gateways, ensuring a smooth consumer checkout. Integrated reporting provides a unified data view, and "smart routing" auto-directs transactions through the best route. Europe's e-commerce data shows that roughly a quarter of Mastercard's payment authentications in early 2021 failed. Smart routing in payment orchestration aims to combat such issues. Business Research Insights predicts that by 2027, the payment orchestration market will be valued at nearly $5 billion. Key advantages of payment orchestration include: 1️⃣ Cost and Time Efficiency: Merchants can choose lower transaction fees from a range of providers. 2️⃣ Increased Conversion: Improved customer experience boosts conversion rates. Factors like smart routing, diverse payment methods, and local currency support play significant roles. 3️⃣ Transaction Success: With the rise in digital payments, ensuring transaction success becomes vital. Payment orchestration can notably reduce decline rates. 4️⃣ Customer Loyalty: Offering preferred payment methods enhances the buying experience, fostering customer loyalty. 5️⃣ Global Expansion: For businesses aiming globally, understanding regional payment preferences is crucial. 6️⃣ Rapid Scaling: Merchants can swiftly integrate solutions supporting business growth. 7️⃣ Fraud Reduction: A consolidated platform with multiple payment methods aids in fraud prevention. 8️⃣ Automatic Reconciliation: This feature minimizes errors, saving internal resources and enhancing efficiency. 9️⃣ Real-time Ledgers (RTLs): RTLs provide almost instant financial data visibility, ensuring transactional integrity. Source: Axerve Find this helpful? [ 𝗿𝗲𝗽𝗼𝘀𝘁 ] Anything to add about this subject? [ 𝗶𝗻𝘃𝗶𝘁𝗲𝗱 𝘁𝗼 𝗰𝗼𝗺𝗺𝗲𝗻𝘁 ] Nice story, Marcel. Next! [ 𝗹𝗶𝗸𝗲 ]

Retail is dead. Foot traffic is down across the board. That’s the narrative we hear over and over being pushed in the media. Yet TALA - Grace Beverley’s brand born online - has opened their first physical store in Carnaby Street this weekend, to queues around Soho & a sell-out ticketed event. So rather than being dead, what if the role of brand retail has simply transformed? My take 👉 The store is no longer solely top of the funnel or entirely about discoverability. It’s the destination. The community hub. The clubhouse. It’s where content becomes tangible. Where brand world becomes real world. Where you walk through the door and it feels like stepping into their Instagram, their TikToks, their values. We’re not just talking racks and rails - there’s a coffee bar, photobooths, events, and experiences. This is community-led commerce. It’s a cultural space disguised as a high street shop. And I believe this is where we see the real revival of the high street - not as a retail destination, but as a brand world brought to life. A place to deepen connection with your community - ultimately strengthening the life time value of that customer. The blueprint is clear: Content captures. Community keeps. IRL deepens. TALA joins the ranks of Gymshark, Odd Muse and Glossier, Inc. - brands that built strong digital tribes before laying a single brick and now use their stores as destinations for the community to connect IRL. And in a world where discovery is unpredictable - spanning podcasts, group chats, TikToks and Substack - trying to funnel people in linearly is a lost cause. The smartest brands aren’t forcing a path. They’re showing up where their community already is & then inviting them in deeper. Retail isn’t dead. It’s reinventing itself & I'm so here for it. Calling it now - your favourite digital brand worlds will manifest in real life in the next 18 months whether through pop ups or permanent stores. Mark my words!

Revenue recognition isn't about when you get paid Most founders mess this up. They see $12,000 hit their bank account and think they just made $12,000 in revenue. Wrong. You made $1,000 in revenue...if it's an annual contract. What is Revenue Recognition? Revenue is earned income from delivering goods or services. Recognition is when it's reported on your income statement. These happen at different times. You collect $12,000 upfront for an annual subscription. But you only earned $1,000 of that in month one. The other $11,000? That's deferred revenue sitting on your balance sheet. The Journal Entries: When the sale happens: Debit Cash $12,000 Credit Deferred Revenue $12,000 Each month as you deliver service: Debit Deferred Revenue $1,000 Credit Revenue $1,000 This moves money from your balance sheet to your P&L as you actually earn it. Daily vs Monthly Methods You can recognize revenue daily or monthly. Daily method: $12,000 ÷ 365 days = $33 per day Monthly method: $12,000 ÷ 12 months = $1,000 per month Both get you to $12,000 over the year. Daily gives more precision but monthly is simpler. The Base Formula Every deferred revenue balance follows this pattern: Beginning Balance + Additions - Subtractions = Ending Balance Additions = new cash collections Subtractions = revenue recognized Track this for every contract and you'll know exactly where you stand. The Manual Nightmare Most founders start tracking this in spreadsheets. Works fine for 10 contracts Gets messy at 50. Completely breaks at 100+. Picture this...you've got 50 active contracts. Each one has different start dates, different terms, different recognition schedules. You're tracking everything in Excel. Every month you need to: Update deferred revenue balances for each contract. Calculate how much revenue to recognize. Create journal entries for each one. Make sure everything ties to your GL. I've seen many people spending 3 full days every month just on revenue recognition. And you know what happened? They'd still find errors weeks later. Daily Method Makes it Worse. Think monthly is bad? Try daily recognition with multiple contracts. $12,000 annual contract = $32.88 per day $24,000 contract = $65.75 per day $6,000 contract = $16.44 per day Now multiply that by 50+ contracts...each starting on different dates. You're calculating different daily amounts for hundreds of line items. Automation Saves Your Sanity Maxio completely eliminates this pain. Set up your revenue recognition rules once. The system automatically applies them across every contract. Daily, monthly, whatever method you choose...it just works. 30 minutes to run reports and review everything. That's it. No more manual calculations, no more formula errors, no more audit trail headaches. Everything's automatically GAAP compliant and audit-ready. === How do you currently track your revenue recognition? #MaxioPartner

When Johnson & Johnson spun off Kenvue, many of the leaders who joined saw it as an opportunity to operate in a fast, agile, stand-alone environment. Now, as Kimberly-Clark acquires Kenvue for nearly $49B, I can’t help but wonder: what happens to that kind of talent next? People who thrive in a start-up-like culture: speed, ownership, experimentation - often find it hard to adjust to a slower, more structured, process-heavy organization. And Kimberly-Clark, while world-class in legacy and discipline, is not known for agility or fast-paced innovation. So the question becomes: will Kimberly-Clark recognize and leverage the entrepreneurial talent they’ve just inherited or will those people eventually walk away, frustrated by hierarchy and pace? In M&A, most of the headlines focus on synergies and cost savings. But cultural integration is where deals often succeed or fail. Especially in consumer goods, where people and creativity drive performance more than any spreadsheet ever will. Curious to hear from my FMCG network: how can established giants like Kimberly-Clark preserve the innovative DNA of the companies they acquire? #FMCG #Growth #Trending #Consumergrowth

Is ROAS the right metric for RMNs? Retail Media Networks (RMNs) have outgrown their early days when untapped demand meant every dollar spent was both high-ROAS and high-incrementality. Today, focusing solely on ROAS incentivizes behaviors that may appear efficient but harm long-term profitability and growth. Here’s how ROAS can be gamed—and why it’s problematic: 1️⃣ Over-spending on Retargeting or Brand Keywords. These tactics drive high ROAS but focus on customers who were likely to convert anyway, resulting in low incremental growth. 2️⃣ Discount-Driven Sales. Discounting boosts ROAS by generating short-term revenue but lowers margins, attracts low-LTV customers, and conditions buyers to expect promotions. 3️⃣ Cutting Spend on High-Incrementality Campaigns. Investing in new customer acquisition or brand building may have lower ROAS but drives long-term growth and quality customer cohorts. These behaviors lead to: ⛔️ Shrinking new customer cohorts. ⛔️ Increased reliance on discounts, reducing margins. ⛔️ Lower customer lifetime value (LTV) and diminished profitability over time. In essence, chasing ROAS at all costs leads to slower growth and declining margins—a losing combination for any business. Efficiency metrics like ROAS are necessary but must be balanced with an effectiveness metric that focuses on long-term outcomes. For example: ✅ 180-Day Contribution LTV: Measure the total revenue contribution from full-price customers acquired over six months. ✅ Incremental Revenue from Non-Brand Keywords: Track revenue generated from truly new demand sources. ROAS is an excellent efficiency metric but a poor north star. Striking the right balance between efficiency and effectiveness will ensure your business scales sustainably while maintaining margins. Keen to hear what other metrics are used for RMNs #advertising #media #tech

Most brands spend a lot on media, but treat landing pages as an afterthought If you’re running ads and sending traffic to a homepage or a poorly built landing page, its almost criminal. Specially when gen AI has reduced the cost and time for content creation drastically Here’s how to get landing pages right. Consistently. 1. Match Intent, Not Just Aesthetics The #1 job of a landing page? Continue the conversation you started with your ad •If your ad says “energy efficient fans”, the landing page should show highlight this feature front and center •If your Google ad targets “Mixer Grinders under ₹5000,” don’t show ₹8000 models on the page. Message match > Visual design 2. Keep the Hero Section Clean & Focused Above-the-fold matters. You need to have •Clear headline – Say what the product is and why it’s special. •Key benefits – 3 crisp points max. •Visuals – High-quality product image or demo video. •CTA – One action. Not three. Buy Now,” “Book a Demo,” or “Know More”—but pick ONE 3. Product Benefits, Not Just Features Nobody cares that your mixer uses XYZ motor tech. I mean they do care but only if they care how it helps them They care a lot more that the mixer has a coarse mode which enables silbatta like texture resulting in great taste And that BLDC or intelligent motor tech enables it 4. Solve for Trust People are skeptical by default. Give them reasons to believe •Ratings & Reviews – Show real customer ratings (4.5 stars? Flaunt it). •Media Mentions – “As seen on The Hindu / NDTV” works. •Certifications – BEE 5-Star? BIS approved? Display badges. •Guarantees – Free returns? Warranty? Mention clearly 5. Speed & Mobile Optimization Today at least 80 percent of your traffic is mobile. If your landing page loads in 4 seconds, you’ve lost half. Aim for <2s load time. Avoid fancy animations that slow things down. Test your page on Mobile (3G/4G) and in all browsers Chrome, Safari etc 6. Minimize Distractions A landing page is not your website. •No top nav bars with 7 menu items. •No footer clutter. •No exit doors—except the CTA you want. Keep it focused. Keep them moving toward action 7. Strong CTA (Call to Action) •Make it obvious. One clear button. •Use actionable language: “Get My Free Sample,” “Book a Demo,” “Shop Now.” •Repeat CTA 2-3 times as they scroll, especially after key benefit sections. 8. A/B Test, but with caution: Gen AI makes it very easy to do so. Test •Headlines •CTA text and colors •Images vs Videos •Long-form vs Short-form copy But get the fundamentals of A/B testing right. You need statistically significant sample sizes for each test A good landing page doesn’t sell the product by itself. But It removes friction so the product has a better chance of selling And when done right, your CAC drops, your ROAS climbs, and your ads finally start working to their fullest potential

There are (still!) people who believe that pricing externalities, tweaking policies, and scaling green markets will somehow lead us to #sustainability. Yes, they argue, “we’ve only just begun” to factor in the true costs of consumption. And they highlight the rise of green tech, renewable energy, and eco-products as signs that we’re moving in the right direction. However. This narrative, however hopeful, is not only insufficient, it’s harmful. Because the core logic of our system (growth through consumption) remains untouched. And green consumerism is a contradiction in terms. A new article ( 👉 https://lnkd.in/eQXVVVcT) by Janne J Salovaara and Sophia Hagolani-Albov exposes this paradox sharply. They show how the consumption-driven sustainability agenda is riddled with contradictions and ultimately undermines the very transformation we need: 🔶 Green capitalism sustains the same growth-at-all-costs logic, just in new packaging. 🔶 Tree-planting campaigns ("buy x, plant a tree") turn planetary repair into a product feature, shifting focus away from structural change. 🔶 Offsetting schemes perpetuate the illusion that we can continue business-as-usual, as long as we offset our guilt. 🔶 Moral consumerism displaces responsibility from systems to individuals and flatters us into thinking our shopping carts are tools for justice. 🔶 Most “sustainable alternatives” are only marginally less harmful and still deeply embedded in extractivist, carbon-intensive infrastructures. 🔶 The economy is treated as equal to nature and society, when in reality, it is a subset of life on Earth. 🔶 Transformation is confused with transition, when what’s needed is not “less bad” practices, but a fundamental shift in how we live, produce, and relate. 🔶 The sustainability narrative is being co-opted, becoming more about preserving the system than transforming it. In short: sustainability isn’t a new market segment. It’s a call to redesign the system, starting with what (and why) we value.