Selling the Cloud Podcast By Mark Petruzzi KK Anderson Paul Melchiorre cover art

Selling the Cloud

Selling the Cloud

By: Mark Petruzzi KK Anderson Paul Melchiorre
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Selling the Cloud delves into the stories of C-suite veterans in Sales, Marketing, Customer Success, and RevOps, revealing the secrets behind building successful SaaS empires. Each episode features seasoned leaders who walk through their career journeys, sharing the wins and lessons learned along the way. From mastering customer acquisition to leveraging AI-powered marketing and sales strategies, our guests provide actionable insights for driving growth and business success in the B2B SaaS space.

Guided by a powerhouse team of co-hosts, including Mark Petruzzi, Paul Melchiorre, and Kristin "KK" Anderson, Selling the Cloud offers a front-row seat to the evolving world of Go-To-Market strategies. This podcast extends the insights from the best-selling books "Selling the Cloud" and "Data and Diagnosis-driven Selling", co-authored by Mark Petruzzi and Paul Melchiorre, making it your go-to source for the latest trends and practical tips in SaaS excellence.


© © 2025 Selling the Cloud
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Episodes
  • Ep. 85 – Mastering Sales with AI: The First Move (Webinar Recap)
    Jul 25 2025

    This special episode kicks off our Mastering Sales with AI series with a candid, high-impact discussion on how revenue leaders can move beyond AI buzzwords and actually apply intelligent selling strategies—especially in volatile markets.

    Stephen Messer and Paul Melchiorre join Mark Petruzzi to break down the hard truths about what makes AI work in real sales orgs: leadership alignment, data readiness, and daily execution. This is your first step toward modern, adaptive selling—driven by signal, not guesswork.

    What You’ll Learn:

    • Execution Beats Ambition: Why success with AI doesn’t start with big vision decks—but with specific, high-impact use cases.
    • Your CRM Can’t Keep Up: Why traditional tools break in volatile markets, and how neural net AI models adjust in real time.
    • Forecasting Needs a Reboot: How daily deal signals—red, yellow, green—are replacing “gut feel” and weekly sales meetings.
    • Buyer-Centric Strategy: Why studying sellers won’t help you predict revenue—but studying buyers will.
    • Leading with Insight: How top CROs gain board trust through data, not opinions.

    Key Topics:

    • Moving from AI theory to operational reality
    • Fixing broken forecasting processes
    • Leveraging volatility as a growth advantage
    • Redefining enablement with signal-based coaching
    • Why AI is a co-pilot, not a replacement
    • How to scale insights across sellers, teams, and time zones

    Event Recap – Top Takeaways:

    • Start small, win big: Tie AI to real revenue use cases.
    • Clean data wins: No insights without data discipline.
    • AI empowers, not replaces: Give time back to sellers, and sharpen execution.
    • Execution > tools: Adoption follows alignment.

    🎧 Listen now and follow Selling the Cloud for more episodes in our Mastering Sales with AI series. New sessions coming soon.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    56 mins
  • Ep. 84 – Breaking the CRM Mindset: Why AI and Agile Selling Are the Future with Stephen Messer – Part 2
    Jul 16 2025

    In Part 2 of this Selling the Cloud conversation, Stephen Messer, Co-Founder of Collective[i], continues to challenge the status quo of sales technology and leadership—this time focusing on how GTM teams can embrace AI, real-time data, and agile principles to navigate today’s complex buying environments.

    Stephen and the hosts explore what’s broken in forecasting, why reactive CRM systems create risk, and how the modern seller’s mindset needs to evolve in a world where speed, adaptability, and intelligence win.

    What You’ll Learn:

    • The Rise of Agile Selling: Why sales leaders need to build systems that adapt in real time—not ones that just report what already happened.
    • AI-Enhanced Forecasting: How predictive intelligence is helping teams eliminate bias and plan more accurately.
    • Why CRM Alone Is a Liability: A deep dive into why legacy sales systems fail in fast-moving markets.
    • How to Spot Buying Signals Earlier: What modern sales orgs are doing to move faster and respond with precision.
    • Changing the Sales Culture: Why the future of sales leadership depends on embracing new data models and tech-forward practices.

    Key Topics:

    • Limitations of CRM forecasting
    • Integrating AI for signal-based selling
    • Buyer journey complexity and data latency
    • Building an agile, responsive GTM motion
    • Real-time revenue intelligence tools
    • Leadership shifts for the AI-enabled seller

    Guest Spotlight: Stephen Messer

    Stephen is Co-Founder and Vice Chairman of Collective[i], a revenue intelligence platform leveraging AI to enable agile sales execution. He’s a serial entrepreneur with a passion for reshaping how sales teams operate in dynamic, data-rich environments.

    Resources & Mentions:

    • Company: Collective[i]
    • Topics: Agile revenue strategy, AI forecasting, CRM alternatives
    • Suggested Reading: The JOLT Effect, The Qualified Sales Leader, The Sales Acceleration Formula

    🎧 Listen now and follow Selling the Cloud for more episodes on modern GTM, enterprise sales, and AI-led transformation. Subscribe wherever you get your podcasts.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    38 mins
  • Ep. 83 – Breaking the CRM Mindset: Why AI and Agile Selling Are the Future with Stephen Messer – Part 1
    Jul 9 2025

    In this episode of Selling the Cloud, Stephen Messer, Co-Founder of Collective[i], joins Mark Petruzzi and KK Anderson to challenge outdated sales systems and thinking—starting with the traditional CRM mindset.

    Stephen shares why CRM is no longer enough to keep up with how modern B2B buyers actually buy, and how AI, agile selling, and real-time intelligence are enabling sales organizations to operate with precision, speed, and adaptability. If your team is still relying on lagging indicators to drive revenue, this conversation is a must-listen.

    What You’ll Learn:

    • Why CRMs Fall Short: How today’s buying environments outpace static, backward-looking CRM data.
    • AI’s Role in Sales Agility: How machine learning and predictive intelligence change how reps prepare, forecast, and engage.
    • Modern Buyer Behavior: Why linear sales cycles are dead and what sellers need to do to stay relevant.
    • Real-Time Revenue Intelligence: How agile systems give sellers an edge by tracking live signals, not just past activities.
    • Breaking Old Habits: What it really takes to shift from CRM dependence to a future-forward, AI-enhanced GTM approach.

    Key Topics:

    • CRM limitations in today’s sales environment
    • How AI enhances human selling, not replaces it
    • The evolution of sales ops and forecasting
    • Agile frameworks in B2B sales
    • The speed and complexity of modern buying journeys
    • Building a responsive, data-informed sales organization

    Guest Spotlight: Stephen Messer

    Stephen is Co-Founder and Vice Chairman of Collective[i], a platform that delivers AI-powered insights for enterprise sales organizations. A serial entrepreneur and digital innovator, Stephen brings deep insight into how technology and data can transform sales performance.

    Resources & Mentions:

    • Company: Collective[i]
    • Topics: AI in sales, agile revenue systems, sales enablement tech
    • Recommended Reading: The JOLT Effect, The Challenger Sale, Predictable Revenue


    🎧 Listen now and follow Selling the Cloud for weekly expert conversations on the future of enterprise selling, GTM strategy, and revenue innovation. Subscribe wherever you get your podcasts.



    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    32 mins
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