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Revenue Growth Strategy | Commercializing AI & SaaS businesses | Value Creation | GTM…
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Jag Das reposted thisJag Das reposted thisOur team and company are growing! 🚀 Come join the best PMO team ever at a unicorn company with an exceptional growth trajectory. Explore our opportunities: 🌟 Program Manager: [Link to apply](https://lnkd.in/gtUC8eT2) 🌟 Senior Program Manager: [Link to apply](https://lnkd.in/gJkkqKBT) Feel free to reach out if you have any questions or want to learn more about these roles! #JoinOurTeam #CareerOpportunity
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Jag Das reposted thisJag Das reposted thisThis is perhaps the most important ask of my life. It's about love, resilience, and the urgent search for a hero to save my wife, Saumya. Five years ago, my father gave Saumya a kidney, a gift that gave us the time to be a family and watch our daughter, Arya, grow from a toddler (2 yrs at that time). That gift was everything. Unfortunately, now, that kidney is failing, and we are searching for a new living donor. The process of finding a donor is complex, and many people have questions. How does it work? Do you have to be a match? What if I'm not in the US? To answer these questions and to share Saumya’s powerful story, I’ve written a comprehensive article. It details her journey and explains the clear pathways to help through both UCSF and Stanford, and how you can be a hero for our family even without donating. I have one request: please click below to read the article, and then SHARE this post. Sharing is the most powerful tool we have. You could be the link in the chain that leads us to our hero. Thank you for your help and compassion. #KidneyForSaumya #LivingDonor #KidneyDonation #HopeForSaumya #KidneyWarrior #DonorNeeded #Stanford #UCSF #ShareForSaumyaOur Search for a Hero: How You Can Help Save My Wife Saumya's LifeOur Search for a Hero: How You Can Help Save My Wife Saumya's Life
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Jag Das shared thisAlways is a magical time nerding out with ex Simon-Kucher buddies, Shah and RaviKiran this time discussing Netflix's Pricing Playbook 🚀 Our conclusion was Netflix isn’t just a streaming juggernaut - it’s a masterclass in demonstrating how to win customer hearts and minds by delivering focused hyper-personal content & redefining the limits of pricing power 🔥 They’ve pulled off an amazing 225%+ price uplift (9% CAGR in 12+ years) while keeping subscribers hooked, proving that smart pricing in conjunction with timely innovations delivers outsized impact on a company's trajectory. Here are few growth themes we converged on beyond the core ones outlined in Shah's post below 💰 Profit Expansion – Charging more, and enforcing guardrails in plans over time e.g. device limits, & password crackdowns to incentivize upsells 📈 Steady Small Hikes – Small & frequent uplifts to minimize churn 🎭 Segmented Monetization – Ad-tiers, feature-differentiated plans - e.g., cheaper plans, more premium plans that accomodate needs for all types of users with varying price thresholds 🌍 Global Growth – Expanding in APJ & LATAM to accelerate subscriber & revenue momentum by developing hyper local content 💡 Diverse Revenue Streams – Ads, partnerships & licensing deals (e.g., games & merchandising) help de-risk growth stemming from core subscription revenues. At this pace, attaining a $40-50/month price point by 2030 doesn't seem too far-fetched with higher growth from some breakthroughs in advancing moats with sports content, AI algorithms/agents, more premium plans, etc. etc. Netflix proves why pricing should never be an afterthought; rather be an early input to prioritize product roadmaps based on pricing-product market fit. Pricing isn’t just a set it and forget it motion - it’s a strategic growth muscle to exercise consistently and iterate on. #PricingStrategy #Growth #ProductStrategy #tech #AI #NetflixJag Das shared this🎙️ Three ex-Simon-Kucher consultants, now in tech, catching up over coffee (well, no coffee for me—Ramadan time) last Friday! RaviKiran, Jag, and I did what we do best—debating pricing power—this time, Netflix, a company where product and monetization seem to be in total symphony 🎶. So, let's explore together: Step 1️⃣: The Algorithm That Knows You Better Than You Know Yourself 🤖 Netflix started with a simple question: 👉 "How do we make sure you always find something to watch—without thinking?" The answer? A recommendation algorithm so good, it predicts your next binge before you even realize you’re in the mood. Step 2️⃣: The Scattergun Era—Learning the Hard Way 🎬 Armed with this, they went all-in, dropping $17B+ per year to win the streaming wars. But they learned fast: ❌ More content ≠ better engagement. ❌ Big-budget flops (Bright & The Gray Man) don’t guarantee success. Then, they cracked the code: ✅ Hyper-personalization + Quality > Mass production. ✅ Instead of throwing everything at the wall, they fine-tuned content for highly engaged micro-audiences. Step 3️⃣: Absolute Stickiness = Pricing Power 💰 Today, you open Netflix and within seconds, you find something you actually want to watch—and you know it’ll be good! That’s their moat 🏆 The algorithm curates your experience so seamlessly that even when prices go up, you hesitate to leave. It’s not just content—it’s habit-driven engagement. 💡 Control discovery → Control loyalty. 💡 Create habit-driven engagement → Gain pricing power. When a product becomes a habit, price sensitivity vanishes. Users don’t just pay for the service—they pay to avoid disruption. Example: 🔹 Apple – Lock you into an ecosystem where switching feels painful, so price hikes are tolerated. 🔹 Amazon Prime – Bundle so much value that canceling feels like losing way more than just streaming. What’s Next? Sports & AI ⚽🤖 - Netflix is eyeing live sports as its next frontier. If they nail pricing & experience, this could be a game-changer. Would you pay for live sports on Netflix? 💭 I’d love a pay-per-game option—just for my poor team, Manchester United 😭 And with AI evolving, what happens when Netflix moves beyond recommendations to AI-generated content? Imagine shows that adapt dynamically to audience engagement—changing storylines in real-time. That would be the ultimate moat 🔥 Bottom line: Netflix isn’t just a content platform anymore—Now it’s a masterclass in monetizing attention 🎯🚀 #PricingStrategy #tech #StreamingWars #Netflix #SimonKucher #AI
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Jag Das shared thisLast week, I had the honor of presenting the keynote session on "Crafting Credits-based SaaS/Consumption Monetization Strategies" at Ardensi’s Pricing Strategy Summit in Chicago Huge shoutout to my team Manjot Singh, Andrew Grady, Jacob Gilman, and Louis Card – for helping out and for delivering thought-provoking presentation that sparked deep conversations around monetizing innovations 💡 Our team left energized by the insightful summit talks, meaningful networking sessions, and productive roundtables with top leaders in B2B and B2C. It was a great reminder of the importance of stepping away from the day-to-day to recharge, reflect, and learn about the latest trends. Also, it was inspiring for me to re-connect with Sara Yamase at Simon-Kucher from whom I learned invaluable lessons that I weave into my craft every day🙌 Here are select takeaways from the summit for pricers to deliver steady impact in your org 💰 Pricing is a strategic growth function: Even small pricing changes greatly enhance margins, often much more than controlling costs or improving quantities sold; monetizing effectively has an outsized impact on a company's profits and trajectory 👥 Have a dedicated pricing team: Ensure cross-functional inputs across the org. with executive sponsorship and oversight for consistent topline growth; having a pricing team focused on the broader monetization agenda is ideal 📊 Importance of value-based pricing approach and package options: Align pricing with perceived value and deliver solutions that hit home on top buyer criteria. Post PMF, offer a few package options that cater to each key customer segment and thier willingness to pay 🤖 AI-Driven Monetization: Usage or outcomes-based models are emerging as top options that align costs with delivered value. Support agents and content creation are 2 use cases going mainstream; close on heels are industrial AI and consumer AI apps. We are in the early innings on AI monetization 🔄 Usage-based Monetization: This strategy provides flexibility to customers who want to pay per use and one that fosters land-and-expand morion. Gen AI will likely spur adoption of usage-based models beyond traditional seat based models; usage metrics are best tied to tied to value & costs 🎯 Improve value communication: GTM teams be honing in on tangible business benefits to customers to optimize for adoption and to deliver recurring value A special thank you to Ashwin C. and Ardensi team for organizing such a well-rounded event focused on the future of pricing, AI, and growth 🌟 And, kudos to a few leaders who made the event so memorable Nimit Mehta, James Waddell, Steven Greene, Luis Zuniga, Sarthak Baluja, Ozge (Saritosun) Kurtoglu, Michael Rethy, Jeb Wilson, Deepa Banerjee, Rahul Gupta, Matt Phillips, CPP, Archit Gupta, Binoy Chacko, Jay Odedra, Swati Singh(Shah), Ingo Reinhardt #Growth #PricingStrategy #AI #GTM
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Jag Das shared thisWe just concluded our pricing team strategy sync and the annual pricing strategy summit in Chicago and I couldn't be more thrilled. There is something special about connecting with team mates outside of work - sharing laughter and building stronger bonds over fun activities Thank You Manjot Singh, Andrew Grady, Jacob Gilman, & Louis Card for your epic contributions and team camaraderie. Here's to many more unforgettable moments in the future 🚀 #Infoblox #PricingStrategy #Monetization #Ardensi #TeamBuilding
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Jag Das shared thisI’m excited to announce that I’ll be speaking at the Pricing Strategy USA Summit 2024, taking place from September 17–19 at the Marriott Chicago O’Hare, in Chicago, Illinois. I’ll be joining 150+ pricing, revenue growth, and commercial professionals from across industries to explore the latest trends and strategies in pricing. My keynote on Thu is about 🚀 "Crafting a Credits-Based Usage Monetization Strategy" 🚀 This summit is not just any event—it’s a powerhouse of knowledge with 40+ speakers spanning B2B and B2C across many industries designed to elevate your pricing strategy game. Looking forward to connecting and learning from the best thought leaders on monetization, AI, and growth strategy #PricingStrategy #Monetization #RevenueGrowth #Infoblox #Ardensi
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Jag Das shared thisLooking to future proof your company's topline growth... Join our senior team of growth experts focused on software and tech at the "San Francisco Growth Strategies Forum" this Wed, July 27, 2022, at the Pearl. Great opportunity to network and learn more about the modern day playbooks to monetize your innovations What does it take? How do you do it? Who's doing it the best? Spend an afternoon with the brightest minds in tech b2b and b2c saas tech Register for the event at https://lnkd.in/d4scWaut #bettergrowth #saas #sales #marketing #tech #SimonKucher
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Jag Das posted thisI am absolutely thrilled to embark on the next phase of my career with Simon-Kucher & Partners and to bring my passions for scaling revenue & customers growth to a rapidly growing firm that places the highest priority on customer success. I feel inspired by the company's mission & values, energized to be supporting a strong NA leadership team that includes Joshua Bloom, Deepak Sharma, Madhavan Ramanujam, Shikha Jain, Edward Hartman, Sara Yamase, Nick Zarb, Philip Daus, Kristin Harris & Joel Samuel, and ready to make an impact on our clients. I thank my new SKP family for making me feel so welcome! #Toplinegrowth #Pricing #Retention #GTM #relationshipsmatter
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Hey Dan great insights here. Outcome-based pricing is gaining momentum as AI makes customer value easier to measure, but scale still depends on trusted metrics, clear attribution, and predictable economics. Near term, the winners will likely be SaaS companies be including outcome-oriented usage charge meters (e.g. per action, workflow, prompt, resolved ticket) that ties pricing to customer value/impact with a base fee and without the operational burden of full outcomes- based contracts. The bigger shift will eventually be software pricing that will move from paying for access/seats to paying for impact/value once these operational aspects get resolved. Shifting toward gen AI/agentic/hybrid pricing will take figuring out the right metric, telemetry, value exchange to offset traditional seat based economics
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1mo
Strong points here Omid - outcome-based pricing requires a step-change across product, data, GTM,etc. That said, most companies today like Clay (credits per lead/workflow) and Zapier (tasks as outcome proxies) show how “good enough” metrics can anchor value w/o perfect attribution. The question remains - will firms use these proxies as a bridge or commit to the harder operating model shift?
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Jag Das liked thisJag Das liked this96% of companies launch AI. Fewer than 10% see real revenue impact. Here’s what’s missing: https://skp.link/0mc3 Most companies are adding AI, but few are monetizing it. The constraint is not product innovation; it is commercial design. Seats and licenses break when AI replaces work, and fragmented add-ons create complexity. Buyers are clear: they prefer usage or outcome-based models. In 2026, pricing becomes a strategic growth lever, not a billing mechanism. Embed AI into core packages. Align pricing with value delivered. Build models that scale as usage scales. Read how to turn AI innovation into revenue growth: https://skp.link/0mc3 #AIin2026 #SaaSLeadership #RevenueStrategy
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Jag Das liked thisJag Das liked thisStill talking too much with my hands but grateful for a a couple of The University of Chicago Booth School of Business connections this week - to chat with students as part of the Kilts Center for Marketing's event and get an alum feature in the Chicago Booth Review.
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Jag Das liked thisToday we announced the acquisition of StackAI. Asana’s architecture for human-agent work now has three clear layers. AI Studio handles automations for Asana. AI Teammates let humans and agents work together inside the flow. StackAI creates AI agents that can read, write, and execute tasks within hundreds of systems and apps where work occurs. This matters because the workflows that drive outcomes rarely stay inside one tool. Customer onboarding, contract review, and financial close all cross systems. StackAI is already proven with enterprise customers in financial services, healthcare, and professional services, and inside Asana it brings that execution into the same context, permissions, and memory as the work itself. Tony Rosinol and Bernard Aceituno - you have built an amazing product and an amazing team - let's go 🚀Jag Das liked thisI'm proud to share that today, alongside our Q1 FY27 earnings, Asana is acquiring StackAI. At Asana, we believe the great productivity unlock from AI comes when humans and agents work together in your business-critical workflows. And as we all know, the most complex workflows do not stay inside a single system. They span CRMs, contracts, ERPs, collaboration tools, and every platform where work actually lives. And that is why today we are announcing the acquisition of StackAI. StackAI lets companies build AI agents that can read and act across the systems where work really runs — ERPs, CRMs, ITSM, contracts, and pretty much anywhere else a business operates. They've earned the trust of some of the most demanding enterprises out there, in industries where security and governance aren't optional. Bringing StackAI into Asana means our customers can now execute their most complex, cross-functional workflows end-to-end, with humans and AI agents working together to get things done. To the whole StackAI team…we're so excited to welcome you to Asana. This is going to be fun. Link to more here. https://lnkd.in/g-gsauQz
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Jag Das liked thisI just told a room full of 2,000+ customer success and post-sales leaders that Gainsight is no longer just a software company. At the Pulse conference in Las Vegas this morning, we announced the evolution of Atlas to an AI-Native Services (AINS) business. If you've never heard of the AINS movement, watch this quick video: https://lnkd.in/gjvwQXqB It’s a fundamentally different answer to the question everyone in our industry is asking: How do I use agentic AI to drive higher retention? SaaS gave this industry a platform to manage retention. Track the work. Organize the process. Help humans execute. For your top accounts with CSM coverage, that works. For the long tail, the thousands or tens of thousands of customers, no human is managing, it doesn't. They churn quietly, and real revenue and relationships go unrealized. Atlas AINS changes the equation. Agents handle personalization and scale. Humans provide judgment, oversight and strategic intervention when the situation calls for it. Together, we manage renewals end-to-end, accountable to your GRR and NRR as the outcome: Retention-as-a-Service. I talked with Alex Konrad from Upstarts Media on what it takes, and what it will take, to make this new software + services business model work. The framework Jake Saper from Emergence Capital introduced breaks it down to three things: Domain expertise, right technology, willingness to own the outcome. The last one is the hardest. It's also the only one that matters to your customer. You can now hire Gainsight to do the work for you.Jag Das liked thisExclusive: Gainsight is shifting its business to go all-in on AI-native services through an agent platform called Atlas. I spoke to CEO Chuck Ganapathi about the move -- and what conditions he thinks can make for a successful transition from Software-as-a-Service (SaaS) to Service-as-Software (SaS) in the AI era. "The human to agent collaboration is really our moat,” he says. This is a story I've wanted to write since I first saw VC Jake Saper post about a mysterious walk with a pivoting CEO 3 weeks ago. He's beaten the drum about AI-native services for more than a year now, and backed it up with an intro. Services by default come at lower margins, however. Does your software startup have the tech to develop your own higher-margin hybrid? Read our story and analysis here: https://lnkd.in/dei-SgAM
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Jag Das liked thisJag Das liked thishttps://lnkd.in/e9EPGEjx I worked at a consultancy that made a serious push into outcomes-based pricing back in 2012. We learned fast: the concept isn't hard. The execution is. That context matters now, because McKinsey, Deloitte, and the Big Four are being forced to confront the same challenge — AI is compressing weeks of analyst work into hours, and billable-hours pricing is under pressure as a result. Three things make outcomes-based pricing genuinely hard in practice: Baselines and outcomes are harder to measure than they look. What was the revenue trajectory before you arrived? What would have happened without you? Agreeing on a credible starting point — let alone attributing results — is contested territory from day one. Client relationships can turn adversarial. When fees are tied to outcomes, every external headwind becomes a negotiation. A market downturn, a leadership change, a competitor move — suddenly you're arguing about what you're owed rather than focusing on delivering value. Consulting work is rarely the only variable. A strategy only works if the client executes it. Pricing as if you control the outcome when you don't creates misaligned incentives and, eventually, damaged relationships. So why pursue it at all? Because the firms achieving above-market pricing improvements are far more likely to be the ones that have restructured around outcomes — not just raised rates. That's what Blue Ridge Partners research shows. The firms winning on price aren't just charging more; they're changing how value is defined and captured. AI is forcing the issue faster than any firm would choose. Clients are already doing the math on what hours of analyst work are actually worth. The window to figure this out on your own terms — before clients renegotiate it for you — is closing. What's your experience? Has outcomes-based pricing lived up to the promise, or has the execution gap swallowed the concept?How AI is forcing McKinsey and its peers to rethink pricingHow AI is forcing McKinsey and its peers to rethink pricing
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Jag Das liked thisThanks, to Georgy Egorov for having Thomas McClure, Abdul Bhatti, CFA and me present in his Pricing Strategies course at Northwestern University - Kellogg School of Management. It was great presenting to such an engaged audience and an honor to guest lecture at my alma mater!Jag Das liked thisMany thanks to the team from Simon-Kucher Chicago office - Abdul Bhatti, CFA, Thomas McClure, and Michael Nadel - for their captivating guest class in my Pricing Strategies elective at Northwestern University - Kellogg School of Management. It never ceases to amaze me how often pricing decisions are treated as an afterthought, with no clear steward despite being central to the health and strategy of the entire firm. Aligning pricing with strategic goals and processes with pricing is where our guests shine - thank you for sharing your experience with us!
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Jag Das liked thisJag Das liked thisAfter 30 years of investing in technology, I'm convinced it's true. The only way to deliver compounding returns well above the market is consistent high quality product innovation. The standard private equity playbook takes an existing business with existing products and finds ways to get more value out of them. At its most basic that’s cost discipline, sometimes it’s more sophisticated like go-to-market improvements or pricing and packaging optimisation. All valid. But all fundamentally about extraction, and there's a ceiling to it. Compounding doesn't come from extraction. It comes from building things customers didn't have yesterday. New products they genuinely want, that solve problems they couldn't solve before, and that they're willing to pay a fair price for. We’ve shown over the last 15 years that we could do this in the software world, building category defining SaaS companies from scratch and leading the on-prem to SaaS product transition. But AI is the biggest value creation opportunity in a generation and there is no chance we’re going to sit on the sidelines. That's why Hg is investing massively in our in-house AI and product capabilities, including hg catalyst. We’ve had a market leading data science/ML team of 20 people for nearly a decade, but we’ve added more than 80 engineers and product leaders in Catalyst working with developers in our portfolio companies to build agentic products. Great to sit down with Scott Church at Rede Partners to talk about how this philosophy developed, what it's meant in practice, and where it goes from here. https://lnkd.in/eSgPREj4
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Jag Das liked thisJag Das liked thisNo one in my career has ever asked about my GPA. Not once. What people have cared about: * Can you solve hard problems? * Can you communicate clearly? * Can you work well with others? * Can you learn quickly and adapt? * Can you actually deliver results? Curiosity, resilience, judgment, and execution matter far more. For students and early-career professionals: focus on building skills, experiences, relationships, and a reputation for getting things done. Those compound over time in ways a transcript never will. Interesting read from the The Wall Street Journal:No One Cares About Your GPA, and More Career Advice for New GradsNo One Cares About Your GPA, and More Career Advice for New Grads
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