Future of Marketing

Marketing AI That Protects People, Places, and Businesses

46 min · 28 de abr de 2026
Portada del episodio Marketing AI That Protects People, Places, and Businesses

Descripción

In this episode of Future of Marketing, hosts Ethan Smith and Camille Ricketts sit down with  Idan Koren, CMO of Verkada, to explore what it actually takes to build a technical marketing organization in the AI era. From structuring a high-performing MDR function to using first-party data for real personalization, Idan explains why the biggest gains don’t come from flashy AI demos but from building better systems, infrastructure, and decision frameworks. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit thefutureofmarketing.substack.com [https://thefutureofmarketing.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

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16 episodios

episode Building Radical Empathy at Scale with Vanessa Thompson of Twilio artwork

Building Radical Empathy at Scale with Vanessa Thompson of Twilio

In this episode of Future of Marketing, hosts Mada Seghete and Ethan Smith sit down with Vanessa Thompson, a senior marketing leader who helped scale Twilio from a developer tool into a $5B revenue company, to unpack how AI changes the operating model for marketing. Vanessa argues that the future of marketing is radical empathy at scale: using data, AI agents, and customer signals to help buyers succeed in the moments where they are actually stuck. She shares how Twilio runs PLG and sales-assisted motions in parallel, why brand has to serve developers, solopreneurs, and enterprise CEOs at once, and how experimentation, usage data, LLM visibility, Reddit, video, and AI-powered workflows are reshaping modern GTM. We discuss: * Why Vanessa believes the future of marketing is “radical empathy at scale” * How AI can remove the repetitive work that makes marketers less human and create more room for creativity, taste, discernment, and customer understanding * Why the old model of forms, nurtures, lifecycle emails, and one-size-fits-all journeys is giving way to more personalized buyer support * How marketers can use customer signals, usage data, product errors, search behavior, and drop-off points to improve the experience * Why Twilio runs PLG and sales-assisted motions in parallel with one marketing team * How brand has to do more work when the same company serves enterprise CEOs, solopreneurs, developers, and API-driven teams * How Twilio built a test-and-learn culture where teams own budgets, run two-week experiments, and reallocate spend based on what works * How Twilio uses AI agents across 100% of signups and inbound sales requests to help prospects get started, qualify intent, and route the right people to sales * Why gated thought leadership is no longer the high-performing lead engine it used to be * How Twilio approaches LLM visibility through structured developer documentation, video, Reddit, AMAs, and community participation * How internal hackathons, team-built tools, and experimentation OKRs help create the cultural conditions for AI adoption Where to find Vanessa Thompson: LinkedIn: https://www.linkedin.com/in/vanessathomps/ [https://www.linkedin.com/in/vanessathomps/] Future of Marketing is brought to you by the Upside AI Revenue Intelligence and Attribution platform [https://upside.tech/], Graphite Growth Research-Driven SEO & AEO Agency [https://graphite.io/] and XYZ Venture Capital [https://www.xyz.vc/] and is handcrafted by our friends over at: fame.so [https://www.fame.so/?utm_medium=podcast&utm_source=bcast&utm_campaign=masters-of-community-with-david-spinks?utm_medium=podcast&utm_source=bcast&utm_campaign=fame-client] This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit thefutureofmarketing.substack.com [https://thefutureofmarketing.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

9 de jun de 202652 min
episode How to Build a Brand That Stands Out in the Age of AI with Anthony Kennada of Goldenhour artwork

How to Build a Brand That Stands Out in the Age of AI with Anthony Kennada of Goldenhour

In this episode of Future of Marketing, hosts Camille Ricketts and Mada Seghete sit down with Anthony Kennada, Founder and CEO of Goldenhour to examine what happens when AI automates the mechanics of marketing. Anthony argues that the old B2B playbook, gated content, nurture sequences, demo requests, and attribution fights, is breaking down because buyers have learned to avoid it. He shares why distribution is now the central challenge for AI-era companies, how Gainsight built the Customer Success category around audience pain instead of product features, and why the “human last mile” of brand strategy still depends on taste, judgment, and wisdom. We discuss: * Why the marketing automation era trained teams to optimize for traffic, forms, nurture, and attribution instead of buyer experience * How AI exposes existing weaknesses in B2B marketing rather than creating them from scratch * Why distribution becomes the harder problem when products are easier to build with AI * How brands can stand out through authenticity, emotion, founder presence, community, events, and belonging * Why Anthony believes people will still shape enterprise buying decisions, even as agents influence shortlists and recommendations * How CMOs should rethink paid distribution and consider more direct, experiential, event-led motions * How the 95-5 rule changes audience strategy by forcing marketers to serve people who are watching but not ready to buy * Why over-engineering measurement can reduce the creative impact of brand campaigns * How GTM engineering requires both technical orchestration and real understanding of revenue, sales, and pipeline * Why owned media is powerful but difficult for small B2B teams without strong content, distribution, conversion, and audience-building capability * How Goldenhour uses AI-enabled brand systems and activation agents while keeping human operators at the center * Why the final 10% of brand work still requires human judgment: asking better questions, knowing what to cut, and reading the room Key Takeaways → AI is not killing marketing. It is exposing the parts of marketing that were already broken: gated content loops, lead spam, attribution fights, and metrics that optimized activity over buyer experience. → As products become easier to build with AI, distribution becomes the harder problem. Anthony’s view: marketing is now responsible for helping companies stand out when features are easier to copy and categories are more crowded. → The work that becomes more valuable is the work AI cannot fully own: authenticity, emotional storytelling, founder presence, community, events, and brand trust. The End of the Old Playbook → Anthony argues that the marketing automation era trained B2B teams to send traffic to owned properties, convert it with an offer, then email people until they booked a demo or unsubscribed. → That system is breaking because buyers understand the exchange. They know what happens after they fill out the form. → AI may automate parts of that machinery, but the strategic opportunity is not more volume. It is creating stronger human experiences. Brand and Distribution → In an AI-shaped market, the existential question is not just “Can we build the product?” It is “How do we get seen?” → Anthony believes the best brands will be built around trust, familiarity, emotion, community, and belonging. → That is why events and experiential strategies matter more, not less. In-person connection is becoming a counterweight to digital noise and AI-generated sameness. Positioning and Category Creation → At Gainsight, Anthony learned that positioning around customer pain can be more powerful than positioning around platform capability. → Instead of leading with features, Gainsight built around the customer success manager: a persona with limited budget, support, technology, and internal recognition. → The lesson for founders and CMOs: move upstream from product functionality and tell the story of the customer, the problem, and the market shift. Audience-First Marketing → Anthony pushes past the narrow definition of ICP. The 5% of buyers in the market today matter, but the other 95% are still watching, learning, and forming opinions. → Audience-first marketing means leading a conversation before buyers are ready to buy. → That conversation could be a manifesto, a strategic narrative, a category point of view, or a content system that helps the market understand what is changing. The Human Last Mile → AI can accelerate brand and positioning work by gathering context, synthesizing inputs, and producing drafts. → But Anthony believes the final 10% remains human: asking sharper questions, knowing what to cut, reading the room, and applying wisdom built from experience. Where to find Anthony Kennada: LinkedIn: https://www.linkedin.com/in/akennada/ [https://www.linkedin.com/in/akennada/] Future of Marketing is brought to you by the Upside AI Revenue Intelligence and Attribution platform [https://upside.tech/], Graphite Growth Research-Driven SEO & AEO Agency [https://graphite.io/] and XYZ Venture Capital [https://www.xyz.vc/] and is handcrafted by our friends over at: fame.so [https://www.fame.so/?utm_medium=podcast&utm_source=bcast&utm_campaign=masters-of-community-with-david-spinks?utm_medium=podcast&utm_source=bcast&utm_campaign=fame-client] This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit thefutureofmarketing.substack.com [https://thefutureofmarketing.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

2 de jun de 202646 min
episode From 22 Marketers to 2: Automating 80% of Marketing at Chili Piper with Alina Vandenberghe artwork

From 22 Marketers to 2: Automating 80% of Marketing at Chili Piper with Alina Vandenberghe

Alina Vandenberghe is the Co-Founder and Co-CEO of Chili Piper, a demand conversion platform used by companies like ClickUp, Gong, Cursor, Verizon, and Upside that turns inbound leads into booked meetings via agentic workflows. She founded the company in 2016 with her husband Nicolas and bootstrapped past $3M ARR before raising funding. With a background in computer science, she previously built mobile products used by millions at Thomson Reuters, Bloomberg, and Pearson, some featured on stage by Steve Jobs. Alina grew up in Romania, started working at age eight, held three jobs to pay for school, and moved to the US in 2007. She took over as acting CMO at Chili Piper in 2023 and led the company’s shift toward agentic marketing operations. We discuss: * How Alina built a 65-task automation backlog scored by revenue impact and engineering effort * Why almost 80% of routine marketing work at Chili Piper was automatable through internal agents * How invisible operational fixes like a spam email checker prevented 195,000 junk meetings from cluttering sales calendars * Why Qualified Held Meetings, not opportunities, became the intermediary metric for measuring automation outcomes * How chaining agents together enables full-funnel measurement from pipeline to NRR * Why qualified booked meetings alone can hide churn risk and a leaky bucket * How analyzing 3,000 account characteristics rebuilt ICP and dropped CAC dramatically * Why Chili Piper documents every major decision asynchronously and uses the log as a proprietary LLM input * Why LLMs average creative output and where sharp opinions and storytelling still win * How a return-to-office parody campaign drove 800,000 impressions for the corporate account * Why 50% of Chili Piper’s open pipeline overlapped with engagement on Alina’s LinkedIn posts * How Alina spends only three hours a week on LinkedIn, posts three times a week, and writes everything on her phone * What a lean marketing team actually requires: one deeply technical operator and one creative generalist * Why the durable advantage in an AI-first world is human taste and contrarian creative judgment * Advice on co-founding and co-leading a company with a spouse Where to find Alina Vandenberghe: * LinkedIn [https://www.linkedin.com/in/alinav/] Future of Marketing is brought to you by the Upside AI Revenue Intelligence and Attribution platform [https://upside.tech/], Graphite Growth Research-Driven SEO & AEO Agency [https://graphite.io/] and XYZ Venture Capital [https://www.xyz.vc/] and is handcrafted by our friends over at: fame.so [https://www.fame.so/?utm_medium=podcast&utm_source=bcast&utm_campaign=masters-of-community-with-david-spinks?utm_medium=podcast&utm_source=bcast&utm_campaign=fame-client] This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit thefutureofmarketing.substack.com [https://thefutureofmarketing.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

19 de may de 202638 min
episode Why AI Is Freeing Marketers to Be Creative Again with Katrina Wong of New Relic artwork

Why AI Is Freeing Marketers to Be Creative Again with Katrina Wong of New Relic

Katrina Wong is the Chief Marketing Officer of New Relic, a $1 billion revenue observability platform that went private in a $6 billion deal in late 2023. She joined in May 2024 as the company’s first CMO, responsible for brand evolution, demand generation, and market expansion. She previously held marketing leadership roles at Segment and Salesforce and has been part of seven successful company exits across her career. She studied environmental toxicology before moving into tech, and applies a scientific approach to hypothesis testing and measurement in marketing. We discuss: * Why stretch goals, not achievable targets, create the conditions to overachieve pipeline * How New Relic moved from 3x to 5x pipeline goals with the same budget and eventually eliminated the lower goal * How sprint-based demand gen works: setting numeric goals Monday, checking trajectory Wednesday, hitting targets by Friday * Why the sprint facilitator’s role is to probe the how, not just receive status updates * When database growth plateaus, how distribution through partnerships, communities, and influencers unlocks pipeline within weeks * How defining ICP through compelling events in top deals, not firmographic patterns, enables targeted lookalike motions * How Katrina uses customer advisory boards and co-innovation sessions to identify emerging problems before they surface broadly * How New Relic moved from claiming “intelligent observability” to naming a specific pain point: engineers troubleshooting AI-generated code at 3AM, at a scale that can’t be solved by humans alone * Why AI reduces the manual work of marketing and restores space for creativity, storytelling, and brand building * How Katrina rolled out AI adoption bottoms-up through a monthly marketing showcase, then layered in top-down governance * Why the CMO role means wearing the company hat, not just the marketing hat Where to find Katrina Wong: * LinkedIn [https://www.linkedin.com/in/katrinawong11/] Future of Marketing is brought to you by the Upside AI Revenue Intelligence and Attribution platform [https://upside.tech/], Graphite Growth Research-Driven SEO & AEO Agency [https://graphite.io/] and XYZ Venture Capital [https://www.xyz.vc/] and is handcrafted by our friends over at: fame.so [https://www.fame.so/?utm_medium=podcast&utm_source=bcast&utm_campaign=masters-of-community-with-david-spinks?utm_medium=podcast&utm_source=bcast&utm_campaign=fame-client] This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit thefutureofmarketing.substack.com [https://thefutureofmarketing.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

12 de may de 202646 min