20Growth: Meta CMO Alex Schultz on How All Founders Have to Change Their Marketing Playbook in a World of AI | Is AI Plateauing, What it Means if China Wins the AI Race and Why Zuck is a Generational Leader

20Growth: Meta CMO Alex Schultz on How All Founders Have to Change Their Marketing Playbook in a World of AI | Is AI Plateauing, What it Means if China Wins the AI Race and Why Zuck is a Generational Leader

Alex Schultz is the Chief Marketing Officer and VP of Analytics at Meta, where he has spent nearly two decades shaping the company’s growth and marketing strategy. He has been instrumental in scaling Facebook, Instagram, and WhatsApp to billions of users worldwide. Alex is is also the author of Click Here: The New Rules of Marketing, the definitive guide to modern growth — available now on Amazon.

AGENDA:

00:00 – Is All Marketing Actually Performance Marketing?

04:00 – When Did Facebook Have the Wrong North Star? What Did They Learn?

16:00 – Will AI Create Companies Run by Just ONE Person?

27:00 – Is AI About to Hit the Biggest Plateau Since Self-Driving Cars?

30:00 – Is China Secretly Winning the Global AI Arms Race?

38:00 – Does AI Kill Content or Supercharge It?

44:00 – Why Brand Marketing Is Harder (and More Important) Than You Think

47:00 – Will Glasses Replace Phones Forever?

51:00 – What Would Alex Do If He Were Sundar at Google Today?

59:00 – What is the Greatest Strength and the Greatest Weakness of Zuck?

Avsnitt(1354)

20Sales: How Rippling Built Their Sales Machine: How to Hire, Train and Manage the Best SDRs, What is the Right Comp Package for Sales Teams & The Playbook to Start and Scale Your SDR Team

20Sales: How Rippling Built Their Sales Machine: How to Hire, Train and Manage the Best SDRs, What is the Right Comp Package for Sales Teams & The Playbook to Start and Scale Your SDR Team

Ashley Kelly is the VP of Global Sales Development at Rippling, the all-in-one platform for HR, IT, and finance. Before Rippling, Ashley played a crucial role in scaling Brex’s outbound sales from $2M to over $300M in ARR, and has hired over 800 SDRs during her time in some of the best tech companies in Silicon Valley, including Lever and Zenefits.  In Today’s Episode with Ashley Kelly We Discuss: From NASCAR to Silicon Valley SDR How did Ashley make her way into the world of sales? Why does Ashley think the best AEs and leaders start off as SDRs? What is Ashley’s advice to new SDRs starting their jobs today? Age of AI: Is SDR Outbound Dead? Does Ashley agree that outbound is dead today? Is SDR dead? How will AI change SDR? Why is Ashley hesitant to adopt AI? Why does Ashley think founders should always build the first sales playbook? What did Ashley mean by SDR is the 3rd pillar between sales and marketing?  What does Ashley think most companies get wrong about outbound? SDR Hiring: Who, What, When & How When does Ashley think founders should hire their first SDR? How does Ashley structure the hiring process? What questions does she ask? What profile does Ashley look for when hiring for an SDR? How does Ashley structure the finance package? How is it different for each team? Why did Ashley avoid hiring SDRs with SDR experience? Why has she changed her mind? What was Ashley’s biggest hiring mistake? What were her takeaways? Onboarding New SDR Hires How does Ashley onboard new SDR hires? What is her onboarding timeline? How does Ashley set targets for new hires? When should they be fully productive?  When does Ashley know if a new hire isn’t working? What are common traits among Ashley’s most successful hires?

7 Juni 202453min

20VC: Perplexity's Aravind Srinivas on Will Foundation Models Commoditise, Diminishing Returns in Model Performance, OpenAI vs Anthropic: Who Wins & Why the Next Breakthrough in Model Performance will be in Reasoning

20VC: Perplexity's Aravind Srinivas on Will Foundation Models Commoditise, Diminishing Returns in Model Performance, OpenAI vs Anthropic: Who Wins & Why the Next Breakthrough in Model Performance will be in Reasoning

Aravind Srinivas is the Co-Founder & CEO of Perplexity, the conversational "answer engine" that provides precise, user-focused answers to queries. Aravind co-founded the company in 2022 after working as a research scientist at OpenAI, Google, and DeepMind. To date, Perplexity has raised over $100 million from investors including Jeff Bezos, Nat Friedman, Elad Gil, and Susan Wojciki. In Today’s Episode with Aravind Srinivas We Discuss: Biggest Lessons from DeepMind & OpenAI What was the best career advice Sam Altman @ OpenAI gave Aravind? What were Aravind’s biggest takeaways at DeepMind? How did DeepMind shape how Aravind built Perplexity? What did Aravind mean by “competition is for losers?” What did he learn about talent assembly at DeepMind? The Next AI Breakthrough: Reasoning Does Aravind think we are experiencing diminishing returns on compute & model performance? Does Aravind agree reasoning will be the next big breakthrough for models? What are the reasons Aravind thinks models suck at reasoning today? What is the timeline for reasoning improvement according to Aravind? What does Aravind think are the biggest misconceptions about AI today? Will Foundation Models Commoditise? Does Aravind think foundation models will commoditise? What will the end state of foundation models look like? Why does Aravind think the second tier models will get commoditised? Why does Aravind think the subscription model will not work for AI models with true reasoning?  Why does Aravind think the application layer companies will benefit from foundation models commoditising? Why does Aravind think foundation models will not verticalize? When does Aravind think is the right time to go enterprise? What is his strategy to differentiate Perplexity from its competitors? AI Arms Race: Who Will Win? Who does Aravind think will be the winners of foundation models? What do AI companies need to do to win the model arms race? How does Aravind think startups can compete against incumbents' infinite cash flow? What are the reasons Aravind thinks Perplexity’s browsing is better than ChatGPT? What is Aravind’s biggest challenge at Perplexity today?

5 Juni 202455min

This Week in SaaS: PluralSight Goes to Zero, Salesforce and Mongo Hit Hard, The Next IPO Candidates and How Do We Solve the Problem of Liquidity in Venture Capital

This Week in SaaS: PluralSight Goes to Zero, Salesforce and Mongo Hit Hard, The Next IPO Candidates and How Do We Solve the Problem of Liquidity in Venture Capital

Jason Lemkin is one of the OG SaaS investors with all of his first five investments turning into unicorns with Pipedrive, Algolia, Talkdesk, Salesloft and RevenueCat all in his portfolio. SaaStr is the largest global community in SaaS and he has taught a generation the fundamentals of SaaS on saastr.com. In Our First Ever Episode of This Week in SaaS 1. PluralSight Goes to Zero: WTF happened to PluralSight? How did it go from $3.5BN to $0? Will this have a wider impact on the willingness of PE to buy tech companies? Who are the next contenders to go from hero to zero? Zendesk? Anaplan? Will this generation of PE funds be let off by their LPs for a poor vintage? 2. Salesforce's Worst Stock Market Drop Since 2004 + Mongo Takes a 23% Hit: Why did Salesforce lose $50BN of market cap in a single day? Is the same true for MongoDB taking a 23% hit in one day? What does it mean when the new normal is these once hyper-growth companies now growing only 6% per annum? 3. The Settlers into Slow Growth: Why does Jason believe that Dropbox and Box have both settled into a world of slow growth? What happens to Twilio from here in a world post Jeff Lawson? What happens to Retool from this point on? Would Jason be a buyer of Notion at $10BN? 4. Venture Capital is Broken: Why does Jason believe that we need to see a relation of public multiples for the math in venture capital to work again? Why does Jason believe that the way we mark portfolios with TVPI leads to corrupt and bad behaviour? How does Jason think we will solve the problem of liquidity with IPOs being shut, M&A being out of the window and now PE being a doubt as the source of buyers?

3 Juni 20241h 9min

20Growth: The Six Channels Startups Need to Dominate to Grow, Why the Best Growth Talent Never Comes from Marketing or Product, Who and How to Hire Growth Leaders and Teams and Why in a World of AI, Growth is More Science than Art with Matt Lerner

20Growth: The Six Channels Startups Need to Dominate to Grow, Why the Best Growth Talent Never Comes from Marketing or Product, Who and How to Hire Growth Leaders and Teams and Why in a World of AI, Growth is More Science than Art with Matt Lerner

Matt Lerner is one of the OGs of growth having spent 11 years leading growth teams at PayPal. Post PayPal, Matt led the growth marketing program at 500 Startups. He is also the bestselling author of Growth Levers and How to Find Them. Today, Matt is the Co-Founder and CEO of SYSTM, an accelerator program helping startups find their growth drivers.  In Today’s Episode with Matt Lerner We Discuss: From Philosophy Student to PayPal Growth Leader: How did Matt make his way into the world of growth? What were Matt’s biggest lessons from 11 years at PayPal? What did Matt know now that he wished he’d known when he entered the world of growth? How to Master Growth in a World of AI: What is growth to Matt? What is it not? Why does Matt think growth is more science than art? Does Matt Agee with Adam Gross @ Vimeo that paid acquisition below $100M ARR isn’t PLG? How does Matt think AI will change the world of growth today? What does Matt think are the most common growth mistakes founders make? Optimizing Growth Channels: Dos & Don’ts Why does Matt believe there are only six types of growth channels? What is the “locksmith moment" & how do startups find channels that work for them? How does Matt pick a Northstar metric?  What are the most common mistakes founders make when picking North Star metrics? When is the right time to change them? How does Matt approach horizontal product messaging? What works? What doesn’t work? How to Hire & Manage Growth Teams What does Matt look for in the first head of growth hire? What questions does Matt ask when interviewing? What were Matt’s biggest hiring mistakes? What did he learn? Why does Matt think the best growth hires have no marketing experience? What are Matt’s two steps to master onboarding? What are the 3 most common patterns in leaders according to Matt?

31 Maj 202455min

20VC: Former Meta CTO, Schrep on Why Climate is a $10TRN Problem, Operating Lessons Scaling Products to Billions at Meta and Why the Best Leaders are Like Music Conductors

20VC: Former Meta CTO, Schrep on Why Climate is a $10TRN Problem, Operating Lessons Scaling Products to Billions at Meta and Why the Best Leaders are Like Music Conductors

Mike Schroepfer (Schrep) is the Founder & Partner @ Gigascale Capital, a new kind of climate-focused investment firm. Prior to Gigascale, Mike was the CTO @ Meta where he scaled products to billions of users, shipped millions of units of consumer hardware, constructed tens of millions of sq ft of data centres, built teams of up to 35,000, and made breakthroughs in AI. Before Meta, Mike led engineering at Mozilla and founded a company acquired by Sun Microsystems. In Today's Show with Mike Schroepfer We Discuss: 1. Lessons from Mark Zuckerberg and Meta: What are Schrep's biggest lessons from Zuck on truly effective leaders? Why does Schrep believe the best leaders are like music conductors? What does Schrep mean when he says, "building a company is a game of inches"? Why does Schrep believe "inertia is one of the most underappreciated forces in company building?" 2. The Future of Energy: Why does Schrep believe that the "availability of cheap, clean energy is the biggest rate limiter to human progress?" Does Schrep agree with Sam Altman that energy will be the currency of the next decade? Or does he believe Mustafa Suleyman is right and it will soon be free and abundant? How does Schrep predict the next five years for both fusion and nuclear? Why does Schrep believe the next few years will be "messy but with huge opportunity"? 3. Investing in Climate: It has to be Profitable: Why does Schrep believe that markets and not governments or philanthropy will solve the climate challenges we face? What leads Schrep to suggest that the climate change transition is a $10TRN opportunity for investors? What is the single hardest element of investing in climate change solutions today? Why do climate change solutions need to reshape how they market to consumers? How much capital does it take to build a defensible moat in climate? 4. Schrep: The Man Behind Whatsapp and Instagram: AMA: How does Schrep reflect on his own relationship to money? How has it changed? How does Schrep think about what it takes to be a great father? How did Schrep manage the physical stress and pressure of managing engineering for products that serve billions of people in WhatsApp and Instagram?

29 Maj 20241h 10min

20VC: Why Seed is Systemically Broken | Why Pricing is Worse Than Ever and There is More Funding Than Ever | Benchmarks for Churn, Retention and Growth Rates - Good vs Great | Why Last Vintage for Private Equity Will Suck with Jason Lemkin

20VC: Why Seed is Systemically Broken | Why Pricing is Worse Than Ever and There is More Funding Than Ever | Benchmarks for Churn, Retention and Growth Rates - Good vs Great | Why Last Vintage for Private Equity Will Suck with Jason Lemkin

Jason Lemkin is one of the OG SaaS investors with all of his first five investments turning into unicorns with Pipedrive, Algolia, Talkdesk, Salesloft and RevenueCat all in his portfolio. SaaStr is the largest global community in SaaS and he has taught a generation the fundamentals of SaaS on saastr.com. In Today's Episode with Jason Lemkin We Discuss: 1. Growth Rates and Churn Rates: Average/Good/Great: What is a growth rate that would excite Jason in a SaaS company? What is average? What levels of churn would worry Jason to see? What would excite him to see? What does Jason never tolerate when it comes to either growth rate or retention? 2. What Founder Combination Always Wins: Why does Jason believe you cannot lose money on a CEO salesperson and a technical CTO founding partnership? Why does Jason always meet the CTO for a second meeting in the diligence process? What questions does he ask? What do the best CTOs do or say? Why does Jason always want to sell his shares when the founders want to sell? Why does Jason believe that a company is never the same when the founders leave? 3. WTF is Happening in the World of VC: Why does Jason believe that pricing is worse than it has ever been in venture? Why does Jason believe that traditional seed VC is systemically broken? Why are companies getting stuffed with more cash than ever before? What does Jason know now about dilution that he wishes he had known when he started? Why does Jason believe that you should always recycle everything? 4. WTF is Happening in PE and Later Stage Markets: What happens to all the overpriced acquisitions like Zendesk and Salesloft where private equity way overpaid for them, they have no growth and no product innovation? What happens to the generation of public companies like Box, Dropbox and Twilio, all with low growth and little product innovation in the single-digit market caps? Why does Jason believe that Klaviyo is the most undervalued public company today? What does Jason believe will happen to Anaplan with Pigment eating their lunch?

27 Maj 20241h 14min

20VC: OpenAI's Sam Altman, Mistral's Arthur Mensch and more discuss: Will Foundation Models Be Commoditised | Which Startups Are Threatened vs Enabled by OpenAI | Is the Value in the Infrastructure or Application Layer?

20VC: OpenAI's Sam Altman, Mistral's Arthur Mensch and more discuss: Will Foundation Models Be Commoditised | Which Startups Are Threatened vs Enabled by OpenAI | Is the Value in the Infrastructure or Application Layer?

Sam Altman is the CEO @ OpenAI, the company on a mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI is one of the fastest-scaling companies in history with a valuation of $90BN and $2BN+ in revenue. Brad Lightcap is the COO @ OpenAI and the man responsible for the incredible scaling of sales, GTM, partnerships and business to today being over $2BN in revenue. Arthur Mensch is the Co-Founder and CEO of Mistral AI. Since its inception in May 2023, Mistral has raised over $520M in funding from investors like Andreeseen Horowitz, General Catalyst, Lightspeed Venture Partners, and Microsoft with a current valuation of $2 billion.  Des Traynor is a Co-Founder of Intercom, and has built and led many teams within the company, including Product, Marketing, and Customer Support. Today Des leads all of Intercom’s R&D efforts, and parts of Intercom’s marketing. Tom Hulme is a Managing Partner of GV (Google Ventures), and leads the European team. Today, GV has over $10BN in AUM and Tom has led investments in Lemonade.com (IPO), Snyk, Secret Escapes, Blockchain.com, GoCardless, and Currency Cloud (exited to Visa). Tomasz Tunguz is the Founder and General Partner @ Theory Ventures, just announced last week, Theory is a $230M fund that invests $1-25m in early-stage companies that leverage technology discontinuities into go-to-market advantages. Sarah Tavel is a General Partner @ Benchmark, one of the most successful and renowned venture firms in the world. At Benchmark, Sarah has led rounds in Chainalysis, Hipcamp, Medely, Rekki, Glide, Cambly and more. In Today's Episode We Discuss: Will foundation models be commoditised? What is the end state for the foundation model landscape in 10 years? How will large cloud provider incumbents approach M&A with smaller foundation model providers? When will we see marginal revenue exceed marginal cost in the foundation model business model? Where is the value: the application layer or the infrastructure layer? How can startups know whether they will be threatened by OpenAI? What are good tests/questions to know if you are in the path of one of the large foundation models? How does the business model of SaaS fundamentally change in a world of AI? Will we see the end of per-seat pricing in a new world of AI? What is the right way to approach pricing in a world of AI? Consumption? Tokens?

24 Maj 202421min

20VC: Box's Aaron Levie on Predictions for the Next Wave of AI: Will Foundation Models Be Commoditised | How the Business Model of SaaS Changes Forever | Startups vs Incumbents: Who Wins | App vs Infrastructure Layer: Where is the Value?

20VC: Box's Aaron Levie on Predictions for the Next Wave of AI: Will Foundation Models Be Commoditised | How the Business Model of SaaS Changes Forever | Startups vs Incumbents: Who Wins | App vs Infrastructure Layer: Where is the Value?

Aaron Levie is one of the OG founders of the last two decades as the Co-Founder and CEO of Box. Today, Box does over $1BN in revenue with a market cap of $3.85BN, and has raised over $560 million from the likes of DFJ, Andreesen Horowitz, and Coatue.  In Today’s Episode with Aaron Levie We Discuss: What You Need to Know Entering This AI Wave: Why does Aaron think we are currently in a transformative window in AI? What does Aaron think it takes to be successful in this next wave? Which areas does Aaron think founders should be focusing on today? Where should they not? AI Adoption: Business Model, Implementation, Regulation. How does Aaron think AI will change how we work & run a business? What does Aaron think is the single biggest obstacle to AI adoption in large organizations? Does Aaron agree with Sarah Tavel @ Benchmark AI companies will be selling work not tools?  How does Aaron think AI will change the SaaS business model? Why is Aaron not as worried about AI regulation? What are his biggest concerns today? The Next AI Breakthrough: AI Agents Why does Aaron believe the next big breakthrough in AI will be agents? How does Aaron think AI agents will change org structures? How does Aaron think agents will differ from RPA? How will RPA companies benefit from AI?  What does Aaron think AI agents will look like in five years? Startups vs Incumbents: Who Wins? What is Aaron’s advice to startups today building against OpenAI? Does Aaron think startups have more advantage in foundational models or the application layer? What advantages do incumbents have? What are their biggest weaknesses? Who does Aaron think are the biggest winners in AI today? Who is underperforming? Why does Aaron think Apple isn’t losing the AI race?

22 Maj 202456min

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