ðð§ðð¢ð'ð¬ "ðð-ðð¢ð¥ð¥ ðð¢ð§ð¢ð¦ð®ð¦" ððð±: ðð¡ð² ðð§ðð¢ðâð¬ ðððð¢ðð¢ð§ð ðððð¤ðð ð¢ð§ð ððððð¬ ð ððð¬ðð I visited my local chemist recently for a 3-day course of medicine. The strip had 10 pills; I needed 6. The chemist refused to cut it. The reason I asked? "If I cut it, the next customer wonât buy it because they canât see the expiry date." Heâs right - but only because our packaging design is stuck in the past. This isn't just a minor inconvenience; itâs a systemic failure that leads to MASSIVE MEDICAL WASTE and an unfair "waste tax" on every Indian household. ð THE NUMBERS TELL A STORY: The Indian pharma industry is a global powerhouse. In 2025, the domestic market grew to â¹2.4 lakh crore, with top companies enjoying operating profit margins of 25% to 32%. When an industry is this profitable and growing at 9-11% YoY, the oft-touted argument that "retooling packaging is too costly" loses its sting. Improving packaging isn't a cost - itâs a basic requirement for patient safety and affordability. â THE PROBLEM: In India, manufacturing and expiry details are usually printed in a single block on one end of a strip. Cut the strip, and you lose the "source of truth." ð¡ THE "ZERO-WASTE" SOLUTIONS: (Common elsewhere, missing here) 1ï¸â£ Vertical Repetitive Printing: Regulators (CDSCO) should mandate that expiry and batch info be printed across every single blister cell, not just once per strip. 2ï¸â£ Unit-Dose Perforation: Designing strips that are pre-perforated into single, fully-labeled units. You buy one pill; you get the full data for that one pill. 3ï¸â£ Micro QR Codes: Every pill pocket could carry a 2D data matrix. A quick scan by the consumer verifies the batch and expiry instantly, no matter how the strip is cut. ð¯ THE BOTTOM LINE: We are the "Pharmacy of the World," yet we are forcing our own citizens to buy 40% more medicine than they need just because we haven't updated our printing standards. Pharma companies have the margins to absorb this transition. Itâs time for regulators to move from "bulk-first" to "PATIENT-FIRST" packaging. What do you think? Is it time for a mandate on unit-dose labelling?
Ecommerce
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Real consumer insight does not sit in market reports. It lives in everyday behaviour. I have always believed that if you want to understand the Indian consumer, you must walk the aisles, visit the kirana stores, and spend time in homes. The questions are simple: why did they choose this brand, what made them switch, what are their latest unsatisfied needs, what habit stopped them from trying something new. The answers are rarely written down. They are observed in the pauses, the hesitations, the way a hand reaches for one pack over another. India is a mosaic of markets. What sells in Chennai might fail in Chandigarh. A message that resonates in Delhi could fall flat in a tier-three town. Income, culture, and even climate shape choices. Unless you immerse yourself in these realities, your strategy risks being built on assumptions. The sharper your consumer insight, the stronger your competitive edge. Do not delegate consumer understanding to agencies or reports. Make it a personal discipline. Sit with retailers, shadow buyers, watch the trade. The real breakthroughs are found not in a meeting agenda, but in how people actually live, shop, and decide. #leadership #entrepreneurship #consumer #mindset
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We analyzed 4 million recruiting emails sent through Gem. Most get opened. But only 22.6% get replies. Half those replies are "thanks, but no thanks." We dug into what actually works. Here are 8 factors that drive REAL responses: 1. Strategic timing beats everything else - 8am gets 68% open rates. 4pm hits 67.3%. 10am lands at 67% - Most recruiters blast at 9am when inboxes are flooded - Avoiding peak times alone can boost your opens by 7-10% 2. Weekend outreach is criminally underused - Saturday/Sunday emails get â¥66% open rates consistently - Why? Empty inboxes. Zero competition. Candidates actually have time - Yet few recruiters send on weekends. Their loss is your gain 3. Keep messages between 101-150 words - Shorter feels spammy. Longer gets skimmed - You need exactly 10 sentences to nail the essentials - Every word beyond 150 drops performance 4. Generic templates kill response rates - Generic templates: 22% reply rate - Personalized outreach: 47% increased response rate - Even adding name + company to subject lines boosts opens by 5% 5. Subject lines need 3-9 words - Include company name + job title for highest opens - "Senior Engineer Role at [Company]" beats clever wordplay - 11+ words can work if genuinely intriguing, but why risk it? 6. The 4-stage sequence is optimal - One-off emails are dead. Send exactly 4 follow-up messages - You'll see 68% higher "interested" rates with proper sequencing - After stage 4, engagement completely flatlines. Stop there 7. Get the hiring manager involved - Having the hiring manager send ONE follow-up boosts reply rates by 50%+ - Yet most recruiters don't use this tactic - Weekend advantage: Minimal competition for attention 8. Leadership involvement is a cheat code - Role-specific timing (tech vs non-tech) matters - Technical roles: 3 of 4 best send times are weekends - Engineers check email differently than salespeople. Adjust accordingly TAKEAWAY: These aren't opinions. This is what 4 million emails tell us. Most recruiting teams are stuck in 2019 playbooks wondering why their reply rates won't budge. Meanwhile, recruiters who implement these 8 factors see dramatically better results. The data is right there. The patterns are clear. The only question is: will you actually change how you operate? Or will you keep sending the same tired emails at 9am on Tuesday? Your call.
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Replenishment isnât a side feature, itâs a force multiplier. This is a big mistake. Weâve seen replenishment flows outperform promos and win-back emails combined. They convert better every time with the right timing and zero customer effort. Brands overspend on ads to win new customers, then forget to win them again. They need to predict exactly when a customer needs to repurchase and trigger the message at the perfect moment. Not too soon, not too late. Just right. ++ ðªðµð ððððð¼ðºð²ð¿ð ðð¼ð»âð ð¥ð²ð¼ð¿ð±ð²ð¿ â ðð»ð± ðð¼ð ðð¼ ðð¶ð ðð ++ ð§ðµð²ð ðð¼ð¿ð´ð²ð â Fix: Replenitâs AI triggers proactive reminders across channels exactly when customers are likely to run out, via the brand's own marketing automation vendors, without any migration. ð£ð¼ð¼ð¿ ð§ð¶ðºð¶ð»ð´ ð¼ð¿ ððµð®ð»ð»ð²ð¹ â Fix: Multichannel orchestration (SMS, push, email) with personalized timing based on consumption behavior. ð¡ð¼ ðð¹ð²ð®ð¿ ðð»ð°ð²ð»ðð¶ðð² â Fix: Smart upsell bundles, urgency messages (ârunning low?â), and loyalty integration improve reorder ROI.  ⢠Food & Beverage, pet food and treats, wellness & beauty products hold the highest repeat purchase potential, being very high due to frequent, perishable-driven consumption patterns. â¢Â Online groceries and FMCG rank high in habitual/impulsive behavior, presenting a strong fit for mobile push and SMS-driven replenishment campaigns. Brands like Glosel turned a leaky bucket into a revenue engine with Replenitâs AI-powered multichannel replenishment flows. ð 53.75% more automation revenue ð +28% higher AOV ð² 100% of the Multichannel approach, email, SMS & Push channel revenue -12X Higher Engagement Rate Why does it work? Because Replenit activates timely, no-effort reorders across email, SMS, push, and more. Most brands forget to remind customers. ++ ð¯ ð§ð®ð°ðð¶ð°ð®ð¹ ð¥ð²ð°ð¼ðºðºð²ð»ð±ð®ðð¶ð¼ð»ð ð³ð¼ð¿ ð¥ð²ðð®ð¶ð¹ð²ð¿ð ++ 1ï¸â£ Make Replenishment an Always-On Growth Engine Donât treat it as a postscript. Integrate replenishment flows as a core revenue pillar in your retention strategy. 2ï¸â£ Automate Across Channels With Smart Triggers Use AI-powered solutions to trigger SMS, email, and push notifications based on usage cycles, not guesswork. 3ï¸â£ Track and Optimize With First-Party Data Loops Leverage Replenitâs dashboards to identify top retention products, run experiments on timing, and iterate continuously. ð§ð¼ ð®ð°ð°ð²ðð ð®ð¹ð¹ ð¼ðð¿ ð¶ð»ðð¶ð´ðµðð ð³ð¼ð¹ð¹ð¼ð ecommert® ð®ð»ð± ð·ð¼ð¶ð» ðð°,ð®ð¬ð¬+ ðð£ð, ð¿ð²ðð®ð¶ð¹, ð®ð»ð± ð ð®ð¿ð§ð²ð°ðµ ð²ð ð²ð°ððð¶ðð²ð ððµð¼ ððð¯ðð°ð¿ð¶ð¯ð²ð± ðð¼ ð²ð°ð¼ðºðºð²ð¿ð® : ðð£ð ðð¶ð´ð¶ðð®ð¹ ðð¿ð¼ðððµ ð»ð²ððð¹ð²ððð²ð¿. About ecommert We partner with CPG businesses and leading technology companies of all sizes to accelerate growth through AI-driven digital commerce solutions. #CPG #ecommerce #Replenishment #AI #FMCG
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Loyalty is failing. Gen Z & long-term commitment. 22% of Gen Z consumers consider themselves loyal to one brand is a clear warning for legacy loyalty strategies. Unlike previous generations, Gen Z doesnât see brand loyalty as a long-term commitment, theyâre loyal to moments, not just names. +43% increase in engagement and sales conversions among Gen Z Beauty brands offering "limited-edition drops" and collaborative experiences. +71% Gen Z say they would rather spend money on an experience than a product. >>Loyalty is FAILING, but why<< +Transactional systems feel outdated: Point-based rewards for repeat purchases donât excite this audience. They expect more than discounts or free samples. +Theyâre brand-agnostic but experience-driven: Gen Z freely switches between brands if the experience, aesthetic, or values feel fresher or more aligned with their identity. +They buy into stories, not just products: They want to align with brands that represent something, social causes, cultural movements, or communities they relate to. >>DYNAMIC LOYALTY<< Whatâs this? as it name indicates its a system that rewards interaction, aligns with their values, and constantly evolves. And that is what your brand needs. â Create experience-driven loyalty programs: Offer early access to limited drops, invite-only events, or backstage content. Think like a fan club, not a punch card. +Example: A loyalty tier that unlocks tickets to a pop-up experience or an exclusive AR filter. âLet them co-create: Invite Gen Z customers to co-develop product ideas, designs, or campaign themes. Give them ownership in your brandâs creative journey. +Example: Voting on packaging designs or joining beta tester groups. âAlign with their values: Sustainability, inclusivity, and social good arenât nice-to-haves. theyâre expectations. Use loyalty programs to reward actions too, like recycling, sharing causes, or supporting small creators. +Example: âEarn loyalty points by returning empties or attending a sustainability workshop.â âDeliver constant novelty: Rotate limited editions regularly. Use scarcity and surprise to create FOMO and buzz. +Gen Z doesnât commit to a single brand, but theyâll keep returning if each visit feels fresh and share-worthy. âGo omnichannel but social-first. Should live across TikTok, Instagram, pop-ups, and web. Let them earn or unlock rewards through social engagement, not just purchases. +Example: A user gets exclusive content or perks for creating UGC with your brand. Bottom Line. Loyalty must be earned over and over through experience, relevance, and emotional connection. Think dynamic loyalty: a system that rewards interaction and go for it. Find my curated search of examples and get ready for your next HIT. Featured Brands: Balmain Benefit Chanel Charlotte tilbury Cerave Fennty LâOreal OGX YSL #beautypackaging #beautybusiness #beautyprofessionals #experienceretail #luxuryexperiences #genz
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Shopify is wild: - Their core product team bans KPIs - They optimize for churn - They keep multi-year holdouts for every experiment - The product roadmap is driven not by metrics and goals but by intuition, taste, and a 100-year vision from Tobias Lütke - They now power over 10% of all U.S. e-commerce - Last year's GMV of $235B is equivalent to the economy of Finland I sat down with Archie Abrams, VP of Product and Head of Growth at Shopifyâwhere he leads a 600+ person growth org across product, design, engineering, data, ops, and growth marketingâto discuss: ð¸ Why Shopify optimizes for churn ð¸ Why the core product team avoids metrics-based goals ð¸ How they structure their growth team ð¸ Why they keep multi-year experiment holdouts ð¸ The benefits of not having a CMO ð¸ Lessons learned about integrating sales into a product-led growth model ð¸ The power of discounting as a growth lever ð¸ Much more Listen now ð - YouTube: https://lnkd.in/gAazz3FM - Spotify: https://lnkd.in/g-D4wmrQ - Apple: https://lnkd.in/g9DKGtt4 Thank you to our wonderful sponsors for supporting the podcast: ð Explo â Embed customer-facing analytics in your product: https://explo.co/lenny ð Dovetail â The customer insights hub for product teams: https://dvtl.link/3Za7aa0 Some key takeaways: 1. Shopify optimizes for getting as many new merchants as possible to start businesses, even if many of them fail. This approach works because the few successful merchants generate enough revenue to make up for the many that donât succeed. 2. Shopify has found that 30% to 40% of experiments that show positive short-term results have no long-term impact. Initial lifts can be misleading, and some of your âlosersâ might actually yield unexpected long-term value. 3. Adopt a âhundred-year mindsetâ in your decision-making. Stop chasing short-term wins that feel good now but might sabotage your future. Every decision should be about building a product or service that can withstand the test of time. If it feels like a quick buck, it probably isnât worth it. 4. Donât shy away from shipping experiments that may have neutral impacts. If your intuition suggests that an idea is beneficial, validate it by launching it. Just because the initial data doesnât show a positive lift doesnât mean it wonât create value in the future. Let the market respond, and be open to adjustments based on real user feedback. 5. Shopifyâs growth team is divided into two main groups: Growth R&D (product, design, engineering, data) and Growth Marketing (paid acquisition, SEO, email, content). The company also uniquely includes customer support within the growth organization. This clarity helps teams align their goals and understand their unique contributions to the overall growth strategy.
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The real challenge in AI today isnât just building an agentâitâs scaling it reliably in production. An AI agent that works in a demo often breaks when handling large, real-world workloads. Why? Because scaling requires a layered architecture with multiple interdependent components. Hereâs a breakdown of the 8 essential building blocks for scalable AI agents: ð. ðð´ð²ð»ðð¶ð° ðð¿ð®ðºð²ðð¼ð¿ð¸ð Frameworks like LangGraph (scalable task graphs), CrewAI (role-based agents), and Autogen (multi-agent workflows) provide the backbone for orchestrating complex tasks. ADK and LlamaIndex help stitch together knowledge and actions. ð®. ð§ð¼ð¼ð¹ ðð»ðð²ð´ð¿ð®ðð¶ð¼ð» Agents donât operate in isolation. They must plug into the real world:  ⢠Third-party APIs for search, code, databases.  ⢠OpenAI Functions & Tool Calling for structured execution.  ⢠MCP (Model Context Protocol) for chaining tools consistently. ð¯. ð ð²ðºð¼ð¿ð ð¦ðððð²ðºð Memory is what turns a chatbot into an evolving agent.  ⢠Short-term memory: Zep, MemGPT.  ⢠Long-term memory: Vector DBs (Pinecone, Weaviate), Letta.  ⢠Hybrid memory: Combined recall + contextual reasoning.  ⢠This ensures agents ârememberâ past interactions while scaling across sessions. ð°. ð¥ð²ð®ðð¼ð»ð¶ð»ð´ ðð¿ð®ðºð²ðð¼ð¿ð¸ð Raw LLM outputs arenât enough. Reasoning structures enable planning and self-correction:  ⢠ReAct (reason + act)  ⢠Reflexion (self-feedback)  ⢠Plan-and-Solve / Tree of Thought These frameworks help agents adapt to dynamic tasks instead of producing static responses. ð±. ðð»ð¼ðð¹ð²ð±ð´ð² ðð®ðð² Scalable agents need a grounding knowledge system:  ⢠Vector DBs: Pinecone, Weaviate.  ⢠Knowledge Graphs: Neo4j.  ⢠Hybrid search models that blend semantic retrieval with structured reasoning. ð². ðð ð²ð°ððð¶ð¼ð» ðð»ð´ð¶ð»ð² This is the âoperations layerâ of an agent:  ⢠Task control, retries, async ops.  ⢠Latency optimization and parallel execution.  ⢠Scaling and monitoring with platforms like Helicone. ð³. ð ð¼ð»ð¶ðð¼ð¿ð¶ð»ð´ & ðð¼ðð²ð¿ð»ð®ð»ð°ð² No enterprise system is complete without observability:  ⢠Langfuse, Helicone for token tracking, error monitoring, and usage analytics.  ⢠Permissions, filters, and compliance to meet enterprise-grade requirements. ð´. ðð²ð½ð¹ð¼ððºð²ð»ð & ðð»ðð²ð¿ð³ð®ð°ð²ð Agents must meet users where they work:  ⢠Interfaces: Chat UI, Slack, dashboards.  ⢠Cloud-native deployment: Docker + Kubernetes for resilience and scalability. Takeaway: Scaling AI agents is not about picking the âbest LLM.â Itâs about assembling the right stack of frameworks, memory, governance, and deployment pipelinesâeach acting as a building block in a larger system. As enterprises adopt agentic AI, the winners will be those who build with scalability in mind from day one. Question for you: When you think about scaling AI agents in your org, which area feels like the hardest gapâMemory Systems, Governance, or Execution Engines?
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I hear from a lot of social media teams that they âask for forgiveness, not permissionâ to use songs that they donât have the rights to on TikTok and Instagram. Turns out forgiveness is expensive. Last week, UMG sued Quince for copyright infringement for including unlicensed music in Instagram and TikTok posts. While Iâve talked about brands being sued by music labels before, this one is interesting because it also holds the brand responsible for sponsored influencer posts that use unlicensed music. UMG has identified a whopping 130 works infringed by Quince. The exposure in statutory damages alone is over $20M. I asked marketing lawyer Rob Freund what brands should take away from this lawsuit: âThe Quince case is the latest in a string of cases against brands using unlicensed popular songs on social media, both on brand-owned pages and via influencers. The takeaway is that brands cannot use the general popular music libraries that the platforms provide for any commercial content (which includes any posting on brand-owned pages) and cannot treat influencer content as a copyright safe harbor. The platform licenses do not extend to commercial use, unless you use the designated commercial sound libraries. Any brand running a creator program needs a music licensing strategy and clear contractual guardrails for its influencers.â
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When growth on Amazon stalls after a certain scale, it is either a traffic problem or a conversion problem. If you are struggling to grow profitably on Amazon, just go back to basics, log into Brand Analytics, and look at 3 metrics to diagnose the problem 1.      Search Term Impression Share for High Volume Generic Searches : Amazon is a search led platform and in most categories upto 75% of searches are generic keywords( no wonder they are fast catching up with Google search in revenue). The biggest lever to grow is to have a high impression share( mix of organic and ads) on high volume generic keywords. If your impression share on high volume KWs donât grow, overall growth is difficult. 2.      Branded Search Volumes for both Own Brand and Competition: This is often a function of activities done outside the platform. If branded search volumes donât grow, the reliance on Ads driven glance views wonât come down and profitable growth will be difficult. Similarly if competition branded searches go up, you will find it extremely difficult to hold on to your market share 3.      Conversion Rates for all High Volume Keywords: Look at the conversion trends. If you are not able to maintain/improve conversions with increasing search term impressions share( provided it is increasing), you need to go back to the product pricing proposition. Maybe a competitor with a better proposition is taking market share. Maybe you have hit the ceiling of growth with the current product proposition and further growth will only come if you can introduce new propositions to appeal to a broader TG I am amazed at how much data Amazon shares so that businesses can diagnose problems correctly and take decisions. And equally amazed at how few leaders go deep, open the portals and read the reports that are available. If you are not doing it, start it today P.S. It doesnât matter how busy I am, most Sundays I will open brand analytics, Amazon Pi and the ads platform and look at the metrics from the source itself. This is how one of the sample reports look like.
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We grew an email list from 0 to 500K subscribers in just 10 months. If I were starting from scratch today, here's exactly how I'd do it again: 1) Nail the Lead Magnet: The fastest way to grow your email list is by offering something valuable in exchange for an email. Think of it like this: people won't give up their email for nothing. Create something they can't ignore: a discount, exclusive content, or a tool they canât find elsewhere. For us, offering free travel guides was a game-changer. 2) Optimize for Opt-Ins Everywhere: Your website, blog, and even social media accounts should work like opt-in machines. For example: - Add pop-ups and fly outs on key pages. - Place CTAs above the fold. - Use scroll-triggered modals when visitors are engaged. We tested endlessly, and this attention to detail paid off big. 3) Tap Into Paid Growth Early: Ads get a bad rep, but when done right, theyâre a growth accelerant. We launched targeted ads promoting our lead magnet and built a funnel that turned traffic into email signups. Paid campaigns helped us scale fast while testing which offers resonated with our audience. 4) Partner with the Right People: Collaborations can grow your list faster than any single effort. Whether itâs co-branded giveaways, email swaps, or shoutouts, find brands or creators that share your target audience. A well-executed partnership will unlock exponential growth. One really unique thing we did: We bought a bunch of viral social accounts and rebranded them for our business. This was huge in kickstarting massive and sustainable growth. And we fast-tracked the social proof we needed to build trust and scale quickly. 5) Focus on Quality, Not Just Quantity: A big list is meaningless without engagement. From Day 1, we focused on high-value emails to ensure subscribers opened, clicked, and stayed. Hereâs a pro tip: Consistency wins. Sending emails weekly or bi-weekly keeps your list warm and engaged. 6) Build a Content Machine: Pair email growth with an organic content strategy that feeds your funnel. Blog posts, social media, and SEO arenât just good for trafficâthey create trust. The more valuable content you share, the more people will want to hear from you. 7) Leverage Cheap Marketing Channels in Ways Others Havenât: This is going to ruffle some feathers but we absolutely dominated cold email for user acquisition. To the tune of 6 figure subscriber acquisition. No one was doing cold email for B2C the way we did it. This proved to be the most scalable yet cheapest acquisition channel we had. â To recap: - Offer something valuable for free to grow your list. - Use every channelâpaid and organicâto drive opt-ins. - Build relationships with partners who already have your audience. The result? A system that scales. Your list is the one asset you fully ownâstart building it ASAP!