『Revenue Engine Podcast』のカバーアート

Revenue Engine Podcast

Revenue Engine Podcast

著者: Alex Gluz
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The Revenue Engine Podcast features top leaders in business, marketing, technology, and more and share their amazing stories. マネジメント マネジメント・リーダーシップ リーダーシップ 経済学
エピソード
  • Modern Go-to-Market Leadership in the Age of AI With Eric Gilpin
    2026/08/21

    Eric Gilpin is the President of Go-to-Market at G2, the world's largest software marketplace helping businesses make confident software buying decisions. He leads G2's unified go-to-market organization, aligning marketing, sales, customer success, partnerships, enablement, and revenue operations under one strategy. With more than 20 years of experience building and scaling technology businesses, Eric brings expertise in marketplace growth, customer-focused revenue strategy, and navigating changing buyer behavior in the age of AI.

    In this episode…

    Go-to-market leaders are navigating faster shifts in buyer behavior, technology, and competition while still being expected to deliver consistent revenue. That makes adaptability just as important as execution. How can GTM teams evolve without losing focus on what drives growth?

    As a seasoned go-to-market and marketplace leader with more than two decades of B2B experience, Eric Gilpin believes the answer starts with prioritization, customer focus, and a willingness to keep learning. He recommends concentrating AI investments on the areas with the clearest business impact, rethinking demand generation around how buyers now discover software, and using real customer outcomes to stand out in a crowded SaaS market. Eric also emphasizes growing existing accounts, understanding customer unit economics, and creating more opportunities for meaningful customer conversations. For modern GTM leaders, sustainable revenue growth comes from adapting quickly while staying grounded in measurable customer value.

    In this episode of the Revenue Engine Podcast, Alex Gluz chats with Eric Gilpin, President of Go-to-Market at G2, about modern go-to-market leadership. Eric explores AI-driven buyer behavior, balancing transformation with revenue goals, and using customer stories and results to stand out. He also discusses account growth, ROI-focused selling, and the renewed value of face-to-face customer engagement.

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    40 分
  • How B2B Brands Can Stand Out in a Crowded Market With Amanda Dyson
    2026/08/07

    Amanda Dyson is the Chief Marketing Officer at DemandTec, a Commercial Trade Intelligence platform connecting retailers and CPG partners through one shared system. With more than 20 years of B2B software marketing experience, she specializes in enterprise technology, supply chain, pipeline generation, and go-to-market strategy. She leads DemandTec's marketing organization and shapes how the market understands its retail trade intelligence platform. Before joining DemandTec, Amanda held marketing leadership roles at FourKites, Blue Yonder, and e2open.

    In this episode…

    B2B buyers are surrounded by polished content and increasingly similar brand voices. As AI makes publishing easier, how can a brand remain recognizable and trustworthy?

    Amanda Dyson, an enterprise B2B SaaS marketing leader with deep experience in pipeline generation, says the answer is an authentic voice supported by a clear point of view. Instead of using AI to manufacture finished thought leadership, she recommends using it for ideation, then bringing people back in to add judgment, originality, and trust. Amanda encourages marketers to focus on the audiences they can serve best, take bolder positions, and connect creative work to measurable business outcomes. Together, these practices give buyers something specific to believe in rather than simply more content to consume.

    In this episode of the Revenue Engine Podcast, Alex Gluz talks with Amanda Dyson, Chief Marketing Officer at DemandTec, about how B2B brands can stand out in a crowded market. Amanda explains how to build a distinct point of view, use AI without losing originality, and connect marketing to pipeline. She also touches on event strategy, buying committees, and customer advocacy.

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    25 分
  • How Domain Names Are Shaping Digital Identity and AI Trust With Matt Overman
    2026/07/17

    Matt Overman is the Chief Revenue Officer at Identity Digital, a global internet infrastructure company that operates and supports hundreds of top-level domains. He leads revenue strategy, commercial growth, and partnerships across the company's wholesale domain network, working with registrars, website builders, AI platforms, and business services. With nearly two decades in the domain industry, Matt brings deep expertise in digital identity, domain distribution, emerging TLD trends, and the role of domains as trust anchors for people, brands, and AI agents.

    In this episode…

    Domain names are no longer limited to helping people find a website. They are becoming signals of identity, credibility, and ownership in a digital world shaped by new extensions and AI. What role will they play as online interactions become more automated?

    Matt Overman, a domain industry expert with nearly two decades of commercial experience, sees domains becoming a foundational identity layer for people, businesses, and AI agents. Choosing extensions that reflect purpose, owning a space outside third-party platforms, and embedding domain purchases into existing workflows can strengthen trust while reducing friction. Matt also emphasizes reliable infrastructure and mutually beneficial partnerships as essential to sustainable growth. Together, these ideas point toward a more durable, verifiable, and user-controlled digital ecosystem.

    In this episode of the Revenue Engine Podcast, Alex Gluz talks with Matt Overman, Chief Revenue Officer at Identity Digital, about the changing role of domain names in digital identity. Matt explains the rise of .ai, the shift toward meaningful extensions, and the use of domains as trust anchors for AI agents. He also discusses embedded partnerships, personal branding, and long-term value creation.

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    45 分
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