Articles by Paras
-
11 sales books every sales leader must read
11 sales books every sales leader must read
As a sales leader, you always try to be innovative and go beyond the book while crafting your future strategies but…
1 Comment
Activity
9K followers
-
Paras Jain shared thisThree of G2’s Fall 2026 rankings in AI Sales Roleplay went to Outdoo AI: Best Results Most Implementable Highest User Adoption. The third one is the one I care about most. Best Results tells us the product is delivering value. Most Implementable tells us teams can get it up and running without months of effort. But Highest User Adoption tells us something harder to achieve: People actually keep using it. Enterprise software has a habit of looking successful at launch. It gets bought, implemented, announced internally, and everyone logs in for the first few weeks. Then the launch energy disappears. And that’s when you find out whether the product has actually become part of how people work—or just another tab they stopped opening. What makes this more meaningful is that G2 rankings are based on verified customer reviews. So this is ultimately feedback from the people using the product day to day. For us, that’s what matters. A good rollout is important, but what happens a few months later matters more. Are people still logging in? Are they still practicing? Has the product actually become part of how they work? Implementation is a milestone. Adoption is what happens after. Outdoo AI
-
Paras Jain posted thisToday is bittersweet as we say goodbye to Eda Dedebas Dundar, PhD on her last day at Zwicker & Associates, P.C. Over the years, I've learned that the success of any implementation has less to do with technology and more to do with the people driving it. From day one, she demonstrated an exceptional ability to learn quickly, adapt to new challenges, and maintain a relentless focus on outcomes. Even during a fast-paced rollout, she quickly became an expert on the platform and played a critical role in shaping high-quality call simulations that delivered real value to her team. Working with customers like Eda reminds us why we do what we do. The best partnerships aren't vendor-client relationships—they're collaborations built on trust, shared goals, and a willingness to make each other better. Thank you, Eda, for your partnership, professionalism, and the impact you've had on our team. Wishing you continued success in your next chapter. You will surely miss her a lot Michael Theriault, MBA, PHR. Please don't poach anyone from our team 😁.
-
Paras Jain shared thisOutdoo AI was ranked #1 for Satisfaction in G2’s AI Sales Roleplay category this week. What makes this special is knowing how relentlessly our team has worked behind the scenes to improve the product and customer experience. Not just building features. But obsessing over the small things that make practice feel real, feedback useful, and coaching scalable. Grateful to our customers for pushing us, trusting us, and sharing honest feedback along the way. This recognition feels like a reflection of that partnership. ❤️ Snehal Nimje Sachin Sinha Piyush Goyal
-
Paras Jain shared thisI’ve been thinking about how often the first objection in a sales conversation is not really the objection. A buyer says, It’s too expensive, and the rep immediately starts defending the price. They explain the ROI, bring up the discount, mention the long-term value, and quietly hope the spreadsheet does something heroic. But sometimes price is just the easiest thing to say out loud. What the buyer might really mean is, I’m not convinced this will work for us. Or, I don’t trust that my team will actually use it. Or, I’m not sure this is worth changing how we work today. That’s why jumping too quickly into objection handling can be risky. You end up answering the words, but missing the concern underneath them. The best reps I’ve observed don’t rush to defend. They slow the conversation down just enough to understand what the objection is protecting. Because objections are rarely just barriers. A lot of the time, they’re clues. And if you listen closely enough, they usually tell you where the buyer is still unsure. Curious, what’s an objection you’ve heard that turned out to mean something completely different? #Sales #SalesTraining #SalesCoaching #CustomerConversations #BuyerPsychology #ObjectionHandling
-
Paras Jain shared thisI’ve been thinking about something Mike from Zwicker & Associates shared in a recent conversation with us, because it’s a pattern I keep seeing across L&D teams. Traditional roleplays sound good in theory. You play the customer, I play the salesperson, then you switch. Reps go through the motions, they know what they’re supposed to say, and in that setting, it looks like it’s working. But real conversations don’t follow that script. Customers interrupt, change direction, and respond in ways you didn’t plan for. And that’s where things start to break. Not because reps didn’t learn, but because they never really experienced that kind of unpredictability during practice. Mike’s team was running into exactly this. The reps were doing well in training, but that performance wasn’t carrying into live calls, especially for new hires where mistakes are more costly. So instead of adding more training, they changed how reps practice. They moved toward simulations that feel closer to real conversations, where responses vary, conversations shift based on how you ask, and the same scenario doesn’t play out the same way every time. And that’s where things started to change. Reps became more comfortable handling the unexpected, and coaching started to stick because it was grounded in situations they had already experienced. This is the part I keep coming back to. Most teams don’t have a training problem. They have a practice problem. If practice feels controlled, it won’t prepare you for conversations that aren’t. That’s really what we’ve been trying to rethink with Outdoo AI. If you’re exploring how to move beyond traditional roleplays, this conversation with Mike is worth watching: https://lnkd.in/gJE56ucy #SalesCoaching #CustomerStoryTraditional Roleplay Wasn’t Working: Here’s What Zwicker Fixed with OutdooTraditional Roleplay Wasn’t Working: Here’s What Zwicker Fixed with Outdoo
-
Paras Jain posted thisSomething I’ve been thinking about lately! Why do some sales conversations just… open up within minutes, while others stay stuck on the surface no matter how long you talk? I used to think it was about asking better questions. Now I’m not so sure. I think people open up when the conversation feels safe enough to think out loud. When they’re not being rushed, or quietly judged, or steered somewhere too quickly. You can usually tell the difference pretty fast. Some conversations feel like you’re ticking boxes. Others feel like you’re actually figuring something out together. And yeah… people behave very differently in those two settings. The funny part? You can’t really decide to be good at this mid-conversation. There’s no moment where you go, “Ah yes, now I will build trust.” It doesn’t work like that. It’s more of an instinct. And like most instincts, it usually comes from a mix of trying, getting it slightly wrong, and realizing oh… that didn’t land how I thought it would. Curious, what’s a conversation where you felt someone really got you? What did they do that made it feel that way? #CustomerPsychology #SalesCoaching
-
Paras Jain shared thisMost onboarding programs don’t fail because they lack content. If anything, it’s the opposite; there’s so much of it. Playbooks, decks, call recordings, certifications. I remember sitting in on an onboarding review recently. Everything looked solid on paper. The team had covered all the bases, and you could tell they’d put real effort into it. So we listened to a few of the reps’ first live calls, and within a few minutes, something felt off. The conversations didn’t flow. They knew what to ask, but the timing just wasn’t there. Have you seen that happen? Where someone can explain the playbook perfectly, but in a real conversation, it doesn’t quite show up the same way? I’ve been noticing this pattern a lot this year. New reps aren’t unprepared or clueless; they’ve learned the material. But live conversations don’t wait for you to remember what slide 14 said. Timing matters; reading the room matters; and knowing when to pause, when to push, when to ask… that’s the hard part. And I think this is where most onboarding breaks down. We treat it like a coverage problem, did we teach them everything? But maybe that’s not the right question. Because the real problem is translation. Taking something you read or watched and actually using it in a messy, unpredictable, slightly awkward conversation, that jump is bigger than we think. And naturally, we’ve been thinking about this a lot while building Outdoo AI. What would onboarding look like if reps didn’t have to do so much translating? What if practice already felt like the conversations they’re about to have? Lately, we’ve started leaning into that idea more directly, what if the practice environment could learn from what teams already have? Their real call transcripts, actual objection patterns, and the way their best reps already speak. And that’s where things started to get interesting. Because the moment you bring that into practice, the conversations change. They feel less simulated and more familiar, and reps don’t have to stop and think about what to say next; they just respond more naturally. And look, I’m not saying content doesn’t matter. It does. But content without translation is just noise with good formatting. That’s really what we’ve been trying to solve with Outdoo AI, not more training, but making sure what reps practice actually shows up when it counts. Because that’s the whole point, right? Not more learning… better transfer. #Onboarding #LearningandDevelopment #SalesCoaching #SalesTraining
-
Paras Jain shared thisGartner recently published a prediction worth sitting with. By 2030, 75% of B2B buyers will prefer sales experiences that prioritize human interaction over AI. I am not surprised. I've been in enough customer conversations to know that the moment a buyer truly decides to trust you has almost nothing to do with the information you've delivered. It has everything to do with how you made them feel in that conversation. We are working with a large insurance carrier in the US. Their agents conduct thousands of customer conversations every month. Warm referrals, cold outreach, beneficiary calls and conversations with people making decisions about protecting their families. These are not transactional conversations. And one thing became clear very quickly. The agents who performed best were the ones who could stay present and confident when a caller got difficult, emotional, or simply didn't understand what they were being offered. That's a human skill. And it doesn't develop from reading a policy document. So we built them a practice environment within Outdoo AI, realistic AI roleplay scenarios built around the exact conversations their agents face every day. • Older callers who needed patience and clarity. • Rushed callers who tested composure. • Difficult objections that most agents had only ever encountered for the first time on a live call. The idea wasn't to automate the conversation. It was to make sure agents had been inside enough versions of it before it happened for real. Objection handling improved by 28%. Managers saved over 40 hours a month on manual mock calls. And more importantly, agents started showing up to real customer conversations with a kind of confidence that only comes from having been there before. AI changed how they prepared, but the conversation itself remained entirely human. That's what I think the Gartner stat is really pointing at. Buyers aren't saying they don't want AI anywhere near the sales process. They're saying that when it comes to the moment that actually matters, the conversation where trust is built and a decision is made, they want a human who is genuinely ready for it. The question worth asking isn't whether to use AI in sales. It's whether the humans working alongside it are being developed to show up at their best when it counts. Have you seen this play out in your team's customer conversations? #CustomerStory #SalesCoaching #SalesTraining #AIinSales
-
Paras Jain shared thisWhen we started building Outdoo AI, I had a theory about why sales conversations go wrong, and I was convinced it was mostly a knowledge problem, that reps didn’t know enough about the product, the competitor, or how to handle objections. So we went all in on content quality, aka better playbooks, cleaner battle cards, and training modules so refined they could've been sold back to Harvard University. And to be fair, most founders building for sales teams make the same assumption: if reps had better information, they would have better conversations. Makes sense, right? But It's mostly wrong. The more customer conversations I listened to, the more I noticed that the reps who struggled weren't struggling because they lacked information but because they didn't know what to do with it in a live conversation. So naturally they would freeze when a prospect pushed back, over-explain when they sensed doubt, or talk past the buying signal because they were too focused on finishing the script. So what was the issue? it was the gap between what they knew and how they could actually execute under pressure. Building Outdoo AI taught me that customers don't make decisions based on how much a rep knows, but how a rep makes them feel in the conversation. A rep can have the best messaging, the sharpest competitive positioning, and a flawless understanding of the product, but if they can't deliver it with confidence when the pressure is real, none of it matters. And you can’t create that feeling with a better deck or a longer playbook; you create it through practice, and I mean consistent practice that prepares reps for the pressure of an actual conversation. It took us time to figure this out, but once we did, everything about how we think about sales readiness changed. Did you face a similar scenario? Would be happy to hear about it! #SalesCoaching #OutdooAI
Paras Jain commented on a post
3mo
Thanks for your kind words Ariel Sevitz, we are excited to be a part of Scytale's growth journey.
Paras Jain commented on a post
3mo
Thank you Eda, hope we get opportunity to work together in future.
Paras Jain commented on a post
5mo
Lovely working with you Krishan Sachdeva, loved our impromptu syncs on slack.
Vestd is one of our best customers, and you’ve played a big role in making everything so smooth and easy for us.
-
Paras Jain liked thisParas Jain liked thisAs an immigration advisory team, our work at Live and Study in Europe is about absolute accuracy, clear legal commitments, and managing complex relocation pathways where every single detail matters. When handling high volumes of daily consultations, relying on manual notes or memory leaves too much room for ambiguity when a partner or candidate asks what exact contract conditions or timelines were promised. That is why we integrated Outdoo AI to record, transcribe, and index every single consultation or partnership call. It serves as our ultimate transparency layer, allowing us to jump straight to any minute of a past conversation to verify discussed topics, check commitments, and ensure total alignment. 🛡️ Read the full article at the link in comments. 👇 #europeimmigration #workineurope #transparency #liveandstudyineurope #ararguliyev
-
Paras Jain liked thisParas Jain liked thisIt often takes a full quarter for customer service teams to be trained on a new question, but speeding up the detection process can change this. https://hubs.li/Q04yhpn10 Written by Snehal Nimje of Outdoo AIYour Team Hears The New Objection Long Before Enablement DoesYour Team Hears The New Objection Long Before Enablement Does
-
Paras Jain liked thisParas Jain liked thisToday, we're announcing that Dextr AI has raised $6.7M to build the AI workforce for hospitality and the experience economy. Hospitality has a margin problem. Labor costs keep rising, while an enormous amount of employee time is still spent operating software. In fact, AI has become another interface for employees to manage. Hospitality doesn't need more AI tools, we need AI that fundamentally changes the P&L. At Dextr AI, we don't just ship software. Our forward-deployed engineers embed with your team and stay accountable until the ROI shows up, in multiple areas of the business: - Reservations and voice, in 90+ languages - Guest management - Back office: workforce, finance, compliance - Sales and marketing: direct bookings, group sales and events and more And our approach is paying off. Our clients are seeing: - 49x ROI, with $80K in incremental revenue in 60 days - 8% EBITDA lift at a 6-property group, with 1,200 labor hours removed - $120K saved a year at a destination resort, with guest satisfaction holding at 92% - +0.4 average OTA rating within 90 days Over the next decade, the best-run operators, brands and management companies will have a completely different cost structure. We're building the AI operating system behind them. Thank you to Elevation Capital and Foundation Capital, and to the operators who bet on us early. And thank you to Scott Arnold Angel Kelchev Sharbel Cherian Anandamoy Roychowdhary and the entire Dextr AI team that made this happen. Thank you Mary Ann Azevedo for the coverage: https://lnkd.in/gcWkdA4W
-
Paras Jain liked thisParas Jain liked thisLast year we said yes to every customer who wanted to pay us. Any sector, any size. If someone asked for a feature we would build it in a day and ship it to them. Then they would ask for ten more. The product got chaotic. Our own marketing pages got messy. And about two months after onboarding, usage would quietly start sliding and the replies would stop. It took us far too long to sit down and admit those were the same problem. So we asked our best customers a question that is harder to ask out loud than it looks. Could you do your job without us. The answer was only clearly no in finance and insurance. Those teams hire agents every quarter, every state has its own rules, and nobody sells anything until they pass a certification. That is not a nice to have. Then came the expensive part. We deleted content we had paid to produce. Repositioned the site. Told our own sales team to turn away deals that would have closed. Pipeline dipped for a quarter. Incentives dipped with it. Some people left, and I understood why. Three months in we were booking one meeting a week. Six months in it was five to six a week per rep, mostly from customers other customers had sent us. I walked Sam Jacobs through the whole thing on Topline Spotlight by Pavilion, including the parts that still sting. Saying no did not slow our growth. It was the only thing that ever made it compound.
-
Paras Jain liked thisParas Jain liked thisManagers already spend 3 to 5 hours a week reviewing calls. Coaching quality still varies wildly by manager. That combination should tell you the constraint is not effort. Look at what it takes for one good coaching insight to travel. Someone has to write it up. Turn it into a scenario. Share it with the right group. Remind people to use it. Then check who actually did. By the time that happens, another week of calls has already gone out the door. So the insight helps the one rep who was in the room, and the system around them looks exactly the way it looked on Monday. Then repetition does what repetition does. Within a few weeks, about 7 out of 10 reps drift back to their old line the moment pressure returns. They remember the idea. They do not remember the wording, so they reach for the response they have used most. Behavior sides with whatever has more reps, not whatever sounded smarter in a meeting.
-
Paras Jain liked thisParas Jain liked thisLast week we hosted 30 leaders from the top tech companies on the beautiful Stanford campus, and it was a blast. People from OpenAI, NVIDIA, Mercor, Snowflake, Google, Meta and more. In a candid and fun fireside chat, Vivek Raghunathan shared deep insights on how AI is reshaping enterprises and how work gets done. In fact, AI is redefining what work itself is. Thanks for the time and the insights, Vivek. I have long preferred small group conversations over large conferences. For deep, engaged discussion, nothing beats a small format and real human connection. Agents might be coming for all of our jobs, but they cannot replicate this. Ahead VC Venky Karnam
-
Paras Jain reacted on thisParas Jain reacted on thisIntroducing Sherpa: the most advanced fiction writing ai We accelerated from $250M in ARR to $500M because Sherpa helped increase content production by 1200% in 1 year Sherpa was trained on 5.5B hours of playtime with minute by minute dynamic retention data. 550K+ creators have produced 2.6M hours of content annualised using it Pocket FM is like Netflix for audio-only dramas, with our own pool of one-person studios. 10% of eligible writers on Pocket FM make >$200K One blockbuster produced >$100M in revenue 3 writers have become millionaires in <2 yrs We built Sherpa to enable anyone to make >$1M by writing world-class fiction stories: 1. The Idea: Drop a 1-2 sentence concept. Sherpa interrogates it on tension, stakes, and psychology 2. World & Characters: Builds the complete lore, tone, and characters 3. Sub-Plot planning: Breaks premise into arcs -> episodes -> scenes 4. Scene-by-Scene: Outlines and drafts entire episodes, with you steering. 5. Editorial Review: Stress-tests every draft for pacing, engagement drop-offs, prose, and coherence 6. One-Tap Production: Pick a voice and publish directly to Pocket FM’s millions of listeners 7. Global Scale & Monetization: Revenue-share on performance, with automatic localization so you earn across other markets Test Sherpa for free: https://lnkd.in/gzAU3mgY __________ Generic LLMs fail at serialized fiction because they lack a long-horizon narrative reward function. Sherpa solves this through three core technical leaps: 1. Narrative World Model: Context windows degrade over long runs. Sherpa constructs an evolving semantic knowledge graph tracking character states, secrets, and plot dependencies. High-speed retrieval surfaces exact context on demand, maintaining zero continuity decay across 100s of episodes 2. Hierarchical Story Planner: When writing a 500-episode story, you need to plan many sub plots. Rather than generating linearly, Sherpa decomposes narrative across discrete levels: season -> arc -> sequence -> episode -> scene. Sherpa uses progressive planning and dynamic replanning. As story evolves, it identifies what changed, traces downstream impact, and replans affected parts. 3. Prose Engine: LLMs write robotically, but serial fiction needs emotion, tension, and dialogue that sounds like real people. Sherpa's Prose Engine was designed for storytelling. Built on 1B+ tokens of Pocket's own stories, trained by learning from what listeners engage with, where they drop off, and what keeps them hooked. ____________ Owning distribution and creation puts us in a unique spot. More shows -> data -> Sherpa improve -> creator success -> more creators -> more shows Pocket FM has already seen one $100M IP. Sherpa will soon lead to dozens of single-person studios creating billion-dollar shows. Most people are scared of AI but I think it'll unlock human creativity, help creators earn more, and bring the next great IPs to life. This will create millions of jobs and new income streams.
-
Paras Jain liked thisParas Jain liked thisWe compared 2,300 roleplay sessions against 6,000 live calls. 68% of the practice looked like a clean discovery call. Only 21% of the real calls did. Nobody had cancelled roleplays. Reps showed up. Managers blocked the time. The scenarios had just stopped resembling the job. Three gaps did most of the damage. Budget or tradeoffs came up inside the first 15 minutes on 62% of live calls, and in 19% of practice scenarios. Real opportunities involved 5 to 8 people before a decision. Seven out of ten practice scenarios still assumed one clear decision maker. On live calls, 44% of objections were some version of "this will never get approved internally." In practice, 13% ever got that far. Most stopped at "tell me more" or "send me a deck." So reps were rehearsing the friendly opener and improvising the moment that decides the deal. Effort was never the thing that was missing. Relevance was.
-
Paras Jain liked thisParas Jain liked thisWe are hiring! 🚀 🤖 Coverflex is looking for a MarOps/GTM Engineer pro who knows how to turn marketing complexity into systems that actually work. 💻 And, as we like to do things a little differently, this isn’t your typical application. You’ll need to figure out how to apply here: https://lnkd.in/dRkBmQtT Go give it a try! 👀 Ps: If you use AI, we’ll know, even if it’s telling you the human path (And that’s okay!!) :)
Experience & Education
Publications
Other similar profiles
Explore more posts
-
SPO INDIA
Riding India’s 20%+ D2C Growth Wave: 300+ Founders, Investors & Enablers Converged to Unlock a $100Bn Market at TiE Delhi-NCR’s D2C Summit New Delhi, 25 February 2026: With India’s D2C market expanding at nearly 20% annually, the second edition of TiE Delhi-NCR’s D2C Summit concluded today after a day of high-intensity dialogues, sectoral deep dives, and curated capital conversations that brought renewed clarity to the country’s fast-evolving consumer brand landscape. Bringing together 300+ founders, investors, and operators across lifestyle, beauty, personal care, food & beverage, and Bharat-first brands, the Summit decoded the structural shifts shaping India’s $100B+ D2C opportunity, from open commerce and omnichannel scale to sustainable growth and profitability. #D2C #TiEDelhiNCR #D2CSummit #StartupIndia #Ecommerce #DirectToConsumer #BrandBuilding #RetailTech #Entrepreneurship #IndianStartups #D2CBrands #TiE #BusinessGrowth #Innovation #Networking https://lnkd.in/gCsHqjSF
-
Shubham Bansal
The recent IPOs of startups like Urban Company, Meesho, and Groww show how years of disciplined scaling - supported by talent, capital, and a strong ecosystem- can unlock tremendous economic value. But if we are to become Viksit Bharat in the real sense, we also need to solve our major social development challenges, and we need to solve them at scale. This is where Nonprofit Unicorns come in. We studied 30+ such organisations including Educate Girls, Lend A Hand India, ARAVIND EYE CARE SYSTEM to understand their scale playbooks. And in a recent BW Disrupt piece, Varun and I share steps we believe can create a supporting environment for the next generation of nonprofit unicorns. 1) Celebrate nonprofit unicorns the way we celebrate startup entrepreneurs, and give them their deserved place of pride. This is what attracts talent and capital into the sector. 2) Build supportive government policies and financial instruments, similar to Startup India and the SIDBI FOF, to enable nonprofits to scale effectively. 3) Encourage donors to fund organisation-building, innovation, and technology not just program delivery. And to ask nonprofits about their scale impact strategy and not just short-term metrics. Here is the full article: https://lnkd.in/gPTv_CiD Varun Aggarwal, Shailendra Nath Jha, Raman Uberoi, Arvind Saraf, Gayatri Nair Lobo, Raj Gilda, Luis Miranda, Tanvi Bikhchandani, Geeta Goel Change Engine #NonprofitUnicorns
5 Comments -
Shripal Gandhi 📈
𝗬𝗼𝘂𝗿 𝗗𝟮𝗖 𝗕𝗿𝗮𝗻𝗱 𝗦𝗲𝗹𝗹𝘀 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝘀. 𝗔𝗺𝗮𝘇𝗼𝗻 𝗦𝗲𝗹𝗹𝘀 𝟳 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗧𝗵𝗶𝗻𝗴𝘀. 𝗛𝗲𝗿𝗲'𝘀 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗦𝘁𝗲𝗮𝗹. Amazon's trailing twelve-month revenue hit ₹57.6 lakh crore ($691 billion). Product sales? Only 42%. The other 58% is a revenue diversification playbook every D2C founder should copy. 𝗛𝗼𝘄 𝗔𝗺𝗮𝘇𝗼𝗻 𝗠𝗮𝗸𝗲𝘀 𝗠𝗼𝗻𝗲𝘆 Online Store: 42% (₹24.2L cr) Third-Party Services: 23% (₹13.3L cr) AWS: 16% (₹9.2L cr) Advertising: 7.5% (₹4.3L cr) Subscription: 7% (₹4L cr) Physical Stores: 4% (₹2.3L cr) 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂𝗿 𝗗𝟮𝗖 𝗕𝗿𝗮𝗻𝗱 𝗖𝗮𝗻 𝗟𝗲𝗮𝗿𝗻 𝐀𝐝𝐝 𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐏𝐥𝐚𝐲: 23% of Amazon's revenue comes from others selling on their platform – zero inventory risk. Could you let complementary brands sell through your site? Commission-based revenue scales infinitely. 𝐋𝐚𝐮𝐧𝐜𝐡 𝐚 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: Prime generates ₹4L cr and makes members spend 2-3x more. Weekly boxes, exclusive access, VIP perks – recurring revenue beats one-time sales every time. 𝐌𝐨𝐧𝐞𝐭𝐢𝐳𝐞 𝐘𝐨𝐮𝐫 𝐓𝐫𝐚𝐟𝐟𝐢𝐜: Amazon makes ₹4.3L cr from advertising. You have traffic and audience attention. Start with affiliate links, then sponsored placements, brand partnerships. Traffic is an asset – stop giving it away free. 𝐁𝐮𝐢𝐥𝐝 𝐇𝐢𝐠𝐡-𝐌𝐚𝐫𝐠𝐢𝐧 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠𝐬: AWS is 16% of revenue but 50%+ of profits. What's your high-margin play? Online courses, coaching, tools, SaaS products related to your niche. 𝐄𝐧𝐚𝐛𝐥𝐞, 𝐃𝐨𝐧'𝐭 𝐉𝐮𝐬𝐭 𝐒𝐞𝐥𝐥: Amazon's biggest wins came from building infrastructure others need – fulfillment, cloud, payments. What does your industry struggle with that you could solve and monetize? The lesson? Revenue diversification isn't a nice-to-have. It's how you survive when CAC spikes, margins compress, and competition intensifies. Stop selling one thing. Start building seven revenue streams. Picture: Respective Owner #amazon #D2C #revenue #growth #strategy
65 Comments -
Akio Moti
What we are focusing on right now is building a sharp pipeline of D2C companies ready for ₹100 Cr+ M&A. This is not for everyone only founders who are seriously exploring a strategic exit .Clear filter: minimum valuation ₹100 Cr+ and only founders open to selling full. Keeping this curated and execution focused. If this fits, let’s connect.Deepak MaheshwariSunita MaheshwariSubhash AgrawalSuman Majumder, Sena MedalNitin JainAbhishek SharmaShivam PruthiCA Deepanshi AggarwalCA Mohd Shariq
1 Comment
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top contentOthers named Paras Jain
1998 others named Paras Jain are on LinkedIn
See others named Paras Jain