The Revenue Lounge

The Revenue Lounge

por Team Nektar

Administración Tecnología

Temporada 1

Navigating the Downturn with a Hyperfocus on Productivity ft. Rosalyn Santa Elena

In today's episode, we talk about a very relevant topic that is impacting so many businesses right now. The economy is currently undergoing one of the most challenging downturns. We are seeing massive layoffs, investor skepticism and other cost-cutting initiatives across the tech industry. More disruptions have hit businesses in the form of the great resignation, digital buying, global inflation, and supply chain disruption. The mantra of “growth at all costs” that defined the last decade of business expansion is dead. This downturn has forced revenue leaders to look at more sustainable ways to conduct business that can withstand any turbulent tides that might arise in the future. The new mantra is achieving “productivity at all costs.” This episode covers how this productivity can be achieved to shock-proof revenue generation for businesses. And what are the elements that are a necessary pre-requisite to successfully deploy the “productivity at all costs” mantra. The guest for this session is Rosalyn Santa Elena. Rosalyn is an advisor to several high-growth start-ups on all things GTM and Operations, an active leader of Revenue operations in multiple communities and platforms, and the founder of OpsTherapy. She is also the host of The Revenue Engine Podcast that has helped so many of us with the knowledge to elevate the ops function ourselves as ops professionals.

Signals Aren't Sales: Rethinking GTM Around How Buyers Actually Buy

Jenna Chambers, former VP of Marketing at DemandScience, shares her extensive experience across go-to-market strategies, emphasizing the importance of understanding buyer behavior beyond traditional funnels, leveraging AI for market insights, and integrating brand and demand efforts effectively.

From Experimentation to Execution: Making AI Work Across Enterprise GTM

In this episode of the Revenue Lounge, Amrutha Suresh shares insights on scaling AI across enterprises, transforming pilots into production, and managing organizational change. Discover practical frameworks, common pitfalls, and strategic approaches to AI transformation from a seasoned expert.

Moving Beyond Experimentation: How Enterprise AI Transformation Really Works

Discover how organizations are transitioning from AI pilots to tangible business results. Pino Soro, Chief Business Transformation Officer at QuickBase, shares actionable strategies on building a scalable AI operating model, the importance of data context, and managing organizational change to harness AI’s full potential.In this episode: The gap between AI experimentation and enterprise-wide transformation Why many AI pilots fail to scale and how to overcome common pitfalls The role of foundational data work in long-term AI success How to organize enterprise transformation as a product-driven process The significance of context and business semantics in AI models Decision-making tips on build vs buy for AI tools and systems Approaches for measuring AI maturity and impact in your organization Strategies for managing change and overcoming resistance in large-scale transformation Practical examples of AI automation in sales and customer success Timestamps:00:00 - Why AI transformation is beyond hype and experimentation02:29 - The pitfalls of AI pilots and scaling challenges03:53 - Building trust in data foundations for AI success05:04 - Starting from business problems and role-based data issues07:10 - Why organizational structure impacts AI scalability08:18 - Identifying friction points in data and processes09:40 - Context as the moat: The critical role of business semantics11:36 - How to build organizational advantage through context13:23 - Organizing enterprise transformation as a product team15:42 - Managing change at scale and securing executive buy-in18:35 - Deciding which work to automate versus keep human21:07 - Real-world examples of AI in sales enablement23:04 - Measuring success: revenue impact and efficiency gains26:23 - Build versus buy: decisions in the AI tech stack29:32 - Total cost of ownership and maintaining AI systems33:39 - The importance of a strong AI operating system and foundations35:14 - Common killers of transformation effort and how to avoid them37:49 - Key takeaways: People first in AI-driven change38:38 - Pino’s personal tips for decompressing and staying balancedKey themes: Transitioning AI pilots to scaled enterprise solutions Building trust through foundational data and governance The importance of context and semantics in AI models Structuring transformation as a product organization Managing organizational change and stakeholder alignment Real-world automation use cases in revenue teams Strategic build vs buy decisions for AI tools Measuring AI maturity and impact over time Connect with Pino:For follow-up questions or insights, reach out on LinkedIn to continue the conversation on enterprise AI transformation.

Operationalizing AI Across a GTM Team ft. Adrian Rosenkranz

In this episode, Randy Likas interviews Adrian Rosenkranz, CRO at Webflow, on how revenue leaders can effectively harness AI, ensure governance, and maintain a competitive advantage in a rapidly evolving digital landscape. The discussion delves into practical use cases, the importance of shared knowledge systems, and the long-term vision for AI in go-to-market functions.

Winning Multi-Stakeholder Deals in the Modern Buying Journey

In this episode of the Revenue Lounge Podcast, host Randy Likas and guest Marty Overman share insights on the evolving cybersecurity landscape, modern sales strategies, and the importance of trust and curiosity in sales. Discover how buyers' behaviors are changing and what it takes to succeed in today's dynamic market.

From Support to Strategy: The Evolution of CS in a Data Driven World ft Devin Shane

Devin Shane, VP of CSO operations at Qlik, shares how AI and a data-driven approach can transform customer success from reactive support to proactive growth. Discover strategies to accelerate retention, expand revenue, and build trust through data-driven decisions. Learn why foundational data is crucial before scaling AI and how tracking leading indicators can predict opportunities and risks. Perfect for leaders aiming to leverage insights and create a unified approach to customer health, this episode offers actionable advice to future-proof your customer success function.

Building a Revenue Operating System that Leadership Trusts ft. Aidan Nevin

In this episode of the Revenue Lounge, host Randy Likas sits down with Aidan Nevin, VP of Go-To-Market Operations at Fidelity Investments, to break down how to build a revenue operating system leadership can actually trust. Aidan shares how he turned fragmented data into a clean, decision-grade foundation by centralizing RevOps, building scalable attribution models, and enforcing strong data governance. He also dives into practical execution, from CRM and BI integration to driving adoption in legacy organizations. The conversation explores how to create a data culture, enable self-serve insights with AI, and position RevOps as a strategic growth driver, not just a support function. If your revenue data feels messy, this is your blueprint to fix it.

Unlocking Revenue Intelligence: Bridging Data Gaps with AI & GTM Strategies ft. Uday Sharma

In this episode of the Revenue Lounge Podcast, host Randy Likas and guest Uday Sharma discuss the critical importance of data trust and hygiene in modern revenue operations. They explore how fragmented data can lead to poor decision-making and the necessity of building a centralized data system to enhance revenue intelligence. Uday emphasizes the role of analytics in shaping strategy rather than merely reporting metrics, and the conversation also delves into the implications of AI on data quality and governance. Uday shares insights on how to effectively advocate for funding data initiatives and the importance of changing organizational behavior to improve data practices.

PLG to Enterprise GTM: Playbook for Experimentation, Signal Discipline and AI ft. Stephanie Couzin

In this episode of the Revenue Lounge Podcast, host Randy Likas engages with Stephanie Couzin, Vice President of Go-to-Market Strategy and Operations at Lucid Software. They delve into the evolving landscape of go-to-market strategies in an AI-driven environment, discussing the transition from product-led growth (PLG) to a more sales-oriented approach. Stephanie shares her insights on the importance of experimentation in building sales capabilities, emphasizing the need for cross-functional alignment and the role of data in driving effective decision-making. The conversation also touches on the distinctions between agentic AI and co-pilot AI, highlighting how organizations can leverage these technologies to enhance productivity and streamline workflows.

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