This no-BS podcast cuts through the hype to bring you the “real” stories behind marketing technology. Enterprise advisors Tony Byrne and Jarrod Gingras of Real Story Group share hard-won lessons, sharp insights, and candid takes from the buyer’s side of the table. From vendor bullying and the pitfalls of “headless” platforms to smart selection strategies and tech stacks that actually deliver, nothing’s off-limits.<br /><br />If you’re tired of vendor spin and craving unfiltered advice, you’ve come to the right place. With over 20 years of experience helping global brands navigate the ever-changing Martech landscape, Tony and Jarrod demystify and de-hype marketing technology. Listen to “Real Story on Martech” to learn how the best stacks really work, which vendors to avoid, and how to become your firm’s next MarTech hero.<br /><br />Listen to “Real Story on Martech” beginning April 30 on your favorite podcast apps, YouTube and realstorygroup.com.<br /><br />
Real Story on Martech
Claim This Podcastby Tony Byrne and Jarrod Gingras
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Podcast Overview
This no-BS podcast cuts through the hype to bring you the “real” stories behind marketing technology. Enterprise advisors Tony Byrne and Jarrod Gingras of Real Story Group share hard-won lessons, sharp insights, and candid takes from the buyer’s side of the table. From vendor bullying and the pitfalls of “headless” platforms to smart selection strategies and tech stacks that actually deliver, nothing’s off-limits.<br /><br />If you’re tired of vendor spin and craving unfiltered advice, you’ve come to the right place. With over 20 years of experience helping global brands navigate the ever-changing Martech landscape, Tony and Jarrod demystify and de-hype marketing technology. Listen to “Real Story on Martech” to learn how the best stacks really work, which vendors to avoid, and how to become your firm’s next MarTech hero.<br /><br />Listen to “Real Story on Martech” beginning April 30 on your favorite podcast apps, YouTube and realstorygroup.com.<br /><br />
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Publishing Since
4/24/2025
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Recent Episodes
June 18, 2026
AI and the Future of Personalization
Learn what Martech leaders should be doing today to build a scalable foundation for AI-driven personalization tomorrow. In this episode, Tony Byrne and Jarrod Gingras explore why most personalization initiatives struggle, how AI is changing the equation, and why success depends less on generative AI and more on content, context, data, and architecture. <br /><br />In this episode:<br /><br />How is AI changing personalization in marketing?<br /><br />AI is making it easier to deliver personalized experiences at scale by helping marketers generate content variants, analyze customer behavior, and make more informed decisions. However, successful personalization still depends on having strong data, content, context, and governance in place.<br /><br />Why do most personalization initiatives fail?<br /><br />Many personalization projects struggle because organizations underestimate the complexity of managing customer data, business rules, content variants, and measurement. Without a solid foundation, personalization often becomes too costly or difficult to scale.<br /><br />What is a context layer in AI architecture?<br /><br />A context layer provides the information AI systems need to make accurate decisions, including customer data, content metadata, business policies, governance rules, and real-time state information. It helps ensure AI-generated experiences are relevant, consistent, and trustworthy.<br /><br />What should Martech leaders prioritize to prepare for AI-driven personalization?<br /><br />Martech leaders should focus on building strong customer data foundations, improving content structure and metadata, developing context layers, and creating architectures that support orchestration across channels rather than relying on isolated AI features within individual platforms.<b><br /></b><br /><br />For more information, visit https://www.realstorygroup.com<br /><br />Connect with us on <a href="https://www.linkedin.com/company/realstorygroup/" target="_blank" rel="noreferrer noopener">LinkedIn</a><br /><br /><a href="https://www.youtube.com/@TheRealStoryGroup" target="_blank" rel="noreferrer noopener">Watch our podcast on YouTube</a>
May 26, 2026
The Present and Future of Martech with Scott Brinker
Hosts Tony Byrne and Jarrod Gingras sit down with Scott Brinker, chiefmartech analyist and advisor and creator of the iconic Martech Landscape Supergraphic, to unpack the biggest shifts happening across the marketing technology ecosystem. Scott shares insights from the newly released State of Martech 2026 report and discusses why the industry may be entering a new era defined less by applications — and more by AI-driven infrastructure.<br /><br />Also in this episode:<br /><br />What is the Martech Landscape Supergraphic?<br /><br />The Martech Landscape Supergraphic, created by Scott Brinker, is an industry-wide visualization that maps thousands of marketing technology vendors across categories including CMS, analytics, automation, commerce, data, AI, and customer experience platforms.Has martech reached peak growth?According to Scott Brinker, the Martech Landscape reached approximately 15,500 vendors in 2026 and showed signs of leveling off for the first time. However, significant innovation and vendor turnover are still occurring beneath the surface.<br /><br />What is agentic AI in marketing?<br /><br />Agentic AI refers to AI systems and assistants that can independently perform tasks, interact across platforms, and automate workflows on behalf of marketers. The episode explores where agentic AI is useful today — and where human oversight is still essential.<br /><br />What does the future of the martech stack look like?<br /><br />The future martech stack may become less visible to marketers as AI interfaces increasingly manage complexity behind the scenes. The discussion explores how infrastructure, orchestration, and AI-powered workflows could reshape<b> </b>enterprise marketing operations.<br /><br />What is the “factory and laboratory” approach to martech?<br /><br />Scott Brinker describes enterprise martech as a combination of a “factory” — stable, operational systems — and a “laboratory” where teams can experiment with emerging AI tools, workflows, and customer engagement strategies.<br /><br /><br /><br />For more information, visit https://www.realstorygroup.com<br /><br />Connect with us on <a href="https://www.linkedin.com/company/realstorygroup/" target="_blank" rel="noreferrer noopener">LinkedIn</a><br /><br /><a href="https://www.youtube.com/@TheRealStoryGroup" target="_blank" rel="noreferrer noopener">Watch our podcast on YouTube</a>
April 30, 2026
The Future of Agencies in an AI World
As AI reshapes marketing, what happens to the role of agencies? In this episode, hosts Jarrod Gingras and Tony Byrne explore how enterprise teams must rethink agency relationships, ownership of data and content, and the shift from traditional supply chains to AI-driven demand chains. Discover why the future belongs to organizations that control their own learning loops—and what that means for your marketing strategy.<br /><br />In this episode:<br /><br />What is the future role of agencies in an AI-driven marketing world?<br /><br />Agencies will shift away from production and analytics work as AI automates those functions. Their value will increasingly center on creative strategy, fresh insights, and high-level thinking that machines can’t replicate.<br /><br />What is a marketing “demand chain” and how is it different from a supply chain?<br /><br />A traditional supply chain focuses on pre-building content and campaigns. A demand chain uses AI to respond dynamically to real-time customer signals, creating more personalized and efficient experiences.<br /><br />Why should enterprises own their marketing data and content?<br /><br />Owning data, content, and workflows ensures control over performance, insights, and long-term value. Relying on external partners for this can limit agility and create dependency.<br /><br />What are the four types of AI in marketing?<br /><br />The four types include Insights AI (understanding data), Decisioning AI (recommending actions), Generative AI (creating content), and Agentic AI (executing tasks). Together, they form a continuous learning loop.<br /><br /><br /><br />For more information, visit https://www.realstorygroup.com<br /><br />Connect with us on <a href="https://www.linkedin.com/company/realstorygroup/" target="_blank" rel="noreferrer noopener">LinkedIn</a><br /><br /><a href="https://www.youtube.com/@TheRealStoryGroup" target="_blank" rel="noreferrer noopener">Watch our podcast on YouTube</a>
16 total episodes available
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