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Implementing Modern B2B Marketing Strategies

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Manage episode 522268593 series 3436359
Content provided by Refine Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Refine Labs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This conversation explores how Refine Labs drives measurable B2B SaaS growth through demand strategy, paid media optimization, creative execution, and AI-era marketing fundamentals. Listeners gain a clear understanding of how modern demand generation, positioning, and strategic rigor create predictable pipeline and revenue outcomes.

Topics Covered

  • Refine Labs’ evolution, revenue milestones, and agency repositioning

  • Strategic focus on digital strategy, paid media, creative production, and demand generation

  • The Brand–Demand–Expand model for allocating budget and improving pipeline

  • Data-driven onboarding: audits across paid media, creative, ICP, website, attribution, content, and journey friction

  • Demand creation vs. demand capture and how to rebalance budgets

  • Founder-led marketing vs. diversified marketing engines

  • Retention, upsell, and cross-sell as key growth levers in enterprise

  • AI’s real impact on marketing, strategy, measurement, and competitive advantage

  • Website clarity, LLM discoverability, and digital PR for AI-era visibility

  • Authenticity, trust, and human content in an AI-saturated world

Questions This Video Helps Answer

  • How can B2B SaaS companies increase qualified pipeline by 50% or more within 8 months?

  • What should a modern B2B demand generation agency actually deliver?

  • How do you balance budget across brand, demand creation, and demand capture?

  • How should companies approach self-reported attribution at scale?

  • What’s the role of founder-led marketing now that organic reach is declining?

  • When should companies prioritize retention and expansion over new acquisition?

  • How is AI affecting content, measurement, and go-to-market strategy?

  • How do B2B brands optimize for ChatGPT, Perplexity, Grok, and Google AI overviews?

Jobs, Roles, and Responsibilities Mentioned

  • CEO

  • COO

  • Chief Operating Officer (previous role)

  • Founder

  • Account Management

  • Customer Success

  • Paid Media Manager

  • Marketing Leader

  • CFO

  • Sales

  • Post-sale functions

  • Digital marketing teams

  • Creative and content teams

Key Takeaways

  • Refine Labs’ strongest levers remain digital strategy, paid advertising, and creative execution—these consistently deliver measurable pipeline gains.

  • Companies often overweight short-term demand capture; rebalancing budgets toward brand and demand creation improves long-term efficiency.

  • A rigorous onboarding process—auditing ICP, messaging, media accounts, website friction, attribution, content, and revenue history—is essential for custom growth strategy.

  • Founder-led marketing is an asset but not a sustainable long-term strategy; brands need diversified engines not tied to one person.

  • Enterprise companies can drive massive growth from retention, upsell, and cross-sell, often surpassing net-new acquisition impact.

  • Authenticity, human insight, and trust are becoming more valuable as AI makes generic content ubiquitous.

  • LLM visibility depends on consistent positioning, clear messaging, and strong third-party brand mentions—not hacks or shortcuts.

  • AI should be used only where it improves outcomes: better insights, faster execution, smarter experiments, and strategic amplification.

Frameworks and Concepts Mentioned

  • Brand–Demand–Expand model

  • Demand creation vs. demand capture

  • Closed-won / closed-lost analysis

  • Ideal Customer Profile (ICP) validation

  • Self-reported attribution

  • Share of search

  • Digital buying journey audit

  • Retention / upsell / cross-sell levers

  • AI-powered benchmarking and structured experimentation

  continue reading

257 episodes

Artwork
iconShare
 
Manage episode 522268593 series 3436359
Content provided by Refine Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Refine Labs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This conversation explores how Refine Labs drives measurable B2B SaaS growth through demand strategy, paid media optimization, creative execution, and AI-era marketing fundamentals. Listeners gain a clear understanding of how modern demand generation, positioning, and strategic rigor create predictable pipeline and revenue outcomes.

Topics Covered

  • Refine Labs’ evolution, revenue milestones, and agency repositioning

  • Strategic focus on digital strategy, paid media, creative production, and demand generation

  • The Brand–Demand–Expand model for allocating budget and improving pipeline

  • Data-driven onboarding: audits across paid media, creative, ICP, website, attribution, content, and journey friction

  • Demand creation vs. demand capture and how to rebalance budgets

  • Founder-led marketing vs. diversified marketing engines

  • Retention, upsell, and cross-sell as key growth levers in enterprise

  • AI’s real impact on marketing, strategy, measurement, and competitive advantage

  • Website clarity, LLM discoverability, and digital PR for AI-era visibility

  • Authenticity, trust, and human content in an AI-saturated world

Questions This Video Helps Answer

  • How can B2B SaaS companies increase qualified pipeline by 50% or more within 8 months?

  • What should a modern B2B demand generation agency actually deliver?

  • How do you balance budget across brand, demand creation, and demand capture?

  • How should companies approach self-reported attribution at scale?

  • What’s the role of founder-led marketing now that organic reach is declining?

  • When should companies prioritize retention and expansion over new acquisition?

  • How is AI affecting content, measurement, and go-to-market strategy?

  • How do B2B brands optimize for ChatGPT, Perplexity, Grok, and Google AI overviews?

Jobs, Roles, and Responsibilities Mentioned

  • CEO

  • COO

  • Chief Operating Officer (previous role)

  • Founder

  • Account Management

  • Customer Success

  • Paid Media Manager

  • Marketing Leader

  • CFO

  • Sales

  • Post-sale functions

  • Digital marketing teams

  • Creative and content teams

Key Takeaways

  • Refine Labs’ strongest levers remain digital strategy, paid advertising, and creative execution—these consistently deliver measurable pipeline gains.

  • Companies often overweight short-term demand capture; rebalancing budgets toward brand and demand creation improves long-term efficiency.

  • A rigorous onboarding process—auditing ICP, messaging, media accounts, website friction, attribution, content, and revenue history—is essential for custom growth strategy.

  • Founder-led marketing is an asset but not a sustainable long-term strategy; brands need diversified engines not tied to one person.

  • Enterprise companies can drive massive growth from retention, upsell, and cross-sell, often surpassing net-new acquisition impact.

  • Authenticity, human insight, and trust are becoming more valuable as AI makes generic content ubiquitous.

  • LLM visibility depends on consistent positioning, clear messaging, and strong third-party brand mentions—not hacks or shortcuts.

  • AI should be used only where it improves outcomes: better insights, faster execution, smarter experiments, and strategic amplification.

Frameworks and Concepts Mentioned

  • Brand–Demand–Expand model

  • Demand creation vs. demand capture

  • Closed-won / closed-lost analysis

  • Ideal Customer Profile (ICP) validation

  • Self-reported attribution

  • Share of search

  • Digital buying journey audit

  • Retention / upsell / cross-sell levers

  • AI-powered benchmarking and structured experimentation

  continue reading

257 episodes

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