Eric Williamson is the Chief Marketing Officer at CallMiner, an AI-powered customer experience automation platform that analyzes customer interactions to uncover insights and improve service performance. In his role, he oversees global marketing across brand, demand generation, events, and growth strategy. Eric brings more than 20 years of experience across B2B technology, consumer marketing, agency leadership, and content strategy.

AI is changing the economics of customer service, but the real shift is not just replacing people with bots. Enterprise teams are being forced to rethink what they automate, what they build internally, and where outside platforms can still create value. When everyone can access powerful AI tools, how do companies decide what is worth building themselves?

As a B2B technology marketing leader with expertise in AI, automation, brand strategy, and enterprise growth, Eric Williamson explains that the answer starts with intelligence. Companies need to understand which customer interactions are best suited for automation before they deploy AI agents at scale. Eric emphasizes that many teams underestimate the long-term cost of building AI tools in-house, especially when those tools need to match the depth, reliability, and insight of established platforms. The stronger approach is to start small, identify the right use cases, create a seamless handoff between AI and humans, and use customer interaction data to guide automation decisions.

In this episode of the Revenue Engine Podcast, Alex Gluz talks with Eric Williamson, Chief Marketing Officer at CallMiner, about build-versus-buy decisions in AI and what enterprise teams often get wrong. Eric shares how AI agents are reshaping customer service, why SaaS pricing is moving toward consumption models, and what brand visibility means for B2B growth. He also touches on agency resourcing, LMO, and avoiding AI-generated content that lacks quality.

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.

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.

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.

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.

Matt Lyman is the Vice President of Marketing at Flosum, an enterprise Salesforce-native platform for DevOps, data protection, backup, security, and governance. With nearly 20 years of experience across demand generation, ABM, marketing operations, and B2B growth, he leads marketing strategy for technical audiences and helps translate complex products into clear, human-centered messaging. Matt previously held marketing leadership roles at Chef Software and LeanData and brings a people-first perspective shaped by his background in theater and community building.

Marketing to technical audiences exposes weak assumptions quickly. These buyers rarely respond to vague promises or generic campaigns. So how can marketers create marketing systems that earn trust, generate demand, and keep improving?

Matt Lyman, a B2B marketing leader with expertise in demand generation, technical audiences, paid media, and community-led growth, explains that the answer starts with understanding the human behind every technical buying decision. Instead of treating messaging as a static brand exercise, teams should treat it like a hypothesis: test it, listen to feedback, and adjust based on what the market reveals. Matt emphasizes the importance of tailoring messages to executives and practitioners, choosing events based on audience fit, watching leading indicators before pipeline slips, and using AI to accelerate work without replacing human strategy. The result is a more focused marketing engine built around precision, context, and continuous learning.

In this episode of the Revenue Engine Podcast, Alex Gluz talks with Matt Lyman, Vice President of Marketing at Flosum, about building effective marketing engines for technical audiences. Matt shares how technical buyers shape messaging, why event and paid media strategy require focus, and what leading indicators reveal about pipeline health. He also touches on AI, community building, and mentorship.

Catherine Solazzo is the Chief Marketing Officer at Appfire, a leading provider of software applications that help developers optimize their efficiency on platforms like Jira, Salesforce, and monday.com. With over 20 years of experience in marketing and digital transformation, Catherine has led high-performing teams at global tech giants and was recently recognized on the CRN Women of the Channel 2026 list. Under her marketing leadership, Appfire reaches over a million users every quarter through its technical documentation site.

Marketing today goes beyond just awareness, demand generation, or a polished campaign. It extends into the product experience, customer feedback, partner enablement, and every handoff that shapes revenue. So what does it really take to build a modern CMO mindset?

According to Catherine Solazzo, a seasoned marketing leader with deep experience across developer ecosystems, the answer lies in thinking beyond the traditional marketing boundaries. She explains that elements like technical documentation, release notes, product pages, partner programs, and customer feedback are not secondary functions; they are critical touchpoints that help buyers understand, adopt, and expand with a product. Catherine emphasizes that by taking ownership of this entire journey, marketing teams can move faster, use data more effectively, and create a more cohesive go-to-market motion.

In this episode of the Revenue Engine Podcast, Alex Gluz is joined by Catherine Solazzo, Chief Marketing Officer at Appfire, to discuss building a CMO mindset for modern marketing. Catherine explains the CMO+ model, how to align product and marketing, and why demand generation should go beyond lead volume. She also shares advice on partner enablement and creating repeatable operating models.

Alex Atkins is the VP of Growth and Operations at Sturdy.ai, an AI-powered customer intelligence platform that turns customer conversations across emails, chats, tickets, and calls into actionable insights for B2B teams. Drawing on a background in psychology, communications, marketing, business analytics, and growth, Alex helps teams better understand churn signals, retention risks, and expansion opportunities so they can act faster and more intelligently.

Customer churn is one of the most significant challenges in business, yet so many teams fail to pinpoint the exact reasons behind it. With all the data available, why do teams still miss the warning signs until it's too late?

With experience spanning growth, operations, analytics, and customer intelligence, Alex Atkins brings a data-driven perspective to why teams often miss churn signals. He says the key to understanding churn lies in connecting the dots between seemingly disconnected signals. Alex points out that while teams often focus on isolated factors, churn is rarely caused by one issue. Instead, it's usually a combination of small, overlooked signals, like underutilization, executive changes, slow responses, or product confusion, that build over time. When teams miss those patterns, they end up reacting too late and lose retention opportunities that could have been saved with the right insights.

In this episode of the Revenue Engine Podcast, Alex Gluz is joined by Alex Atkins, VP of Growth and Operations at Sturdy.ai, to discuss why customer churn is often misunderstood. Alex shares insights on why traditional health scores and NPS often miss the mark, how signal combinations can predict churn before it happens, and why dashboards are not enough without ownership and action. He also talks about how real-time customer intelligence can transform growth strategies, retention efforts, and expansion opportunities.

Nidhi Alexander is the Chief Marketing Officer and Executive Vice President at Hexaware Technologies, a global technology and business process services company. Nidhi brings a unique background in journalism, which shapes her approach to marketing as a blend of compelling storytelling and data-driven precision. At Hexaware, she focuses on positioning marketing as a direct driver of business growth, aligning brand strategy with measurable revenue outcomes.

Great marketing today isn't just about being seen, it's about being believed. But in a world flooded with AI-generated noise, how do you build trust while still moving at speed?

For Nidhi Alexander, a seasoned marketing leader shaped by both storytelling and data, the answer is simple: Combine the emotional pull of narrative with the rigor of proof. Nidhi believes that marketing succeeds when it strips away fluff, focuses on real business outcomes, and backs every claim with measurable impact. It's this blend — what she calls becoming a "data-driven storyteller" — that turns marketing from a support function into a revenue driver.

In this episode of the Revenue Engine Podcast, host Alex Gluz is joined by Nidhi Alexander, Chief Marketing Officer and Executive Vice President at Hexaware Technologies, to discuss building AI-led, human-perfected marketing strategies. Nidhi talks about aligning marketing with pipeline outcomes, balancing brand and demand, and using AI to drive efficiency. She also shares advice on governance, personalization, and scaling marketing impact globally.

Ben Chodor is CEO of CallRevu, an automotive technology company delivering AI-driven call analytics and communication solutions to thousands of dealerships across North America. Under his leadership, the company processes nearly 300 million calls annually, turning conversations into actionable insights. A seasoned entrepreneur with over 25 years of experience, Ben has built and scaled multiple SaaS businesses across media, healthcare, and communications, with a strong focus on innovation, data, and the customer experience.

Every SaaS company is racing to adopt AI, automate workflows, and scale faster than ever. But as technology accelerates, one question keeps surfacing: What actually drives growth when everything becomes automated?

For Ben Chodor, a seasoned SaaS operator and longtime builder of data-driven businesses, the answer is clear: Technology alone isn't enough. He believes that while AI can enhance speed and insight, the real differentiator lies in combining data with human connection and service. Drawing from his experience processing hundreds of millions of customer interactions, Ben emphasizes that insights only matter if they lead to better conversations, decisions, and relationships. Ultimately, companies that balance automation with a human touch are the ones that sustain growth.

In this episode of the Revenue Engine Podcast, Alex Gluz is joined by Ben Chodor, CEO of CallRevu, to discuss the evolving role of AI, data, and human connection in SaaS growth. Ben explains how AI is reshaping service and support, why data-driven marketing must go beyond vanity metrics, and how alignment across teams drives revenue. He also talks about adapting leadership as companies scale.