How To Run Smart, Human, Scalable ABM Campaigns (Using AI + Psychology) Growth Leap podcast

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How to Run Smart, Human, Scalable ABM Campaigns (Using AI + Psychology)

27d ago 11:05

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Account-based marketing (ABM) used to be expensive, slow, and reserved for enterprise teams. But that’s changed. In this solo episode, we walk through a smarter, faster, more human approach to ABM, one that even small B2B teams can run using AI, psychology, and clear structure.

We break down how to build a focused account list, how to personalize outreach without sounding robotic, and how to align sales and marketing around real signals, not wishful thinking.

You’ll learn how to combine AI agents and human-first strategy to warm up leads, engage buying committees, and track what actually moves the needle. If your team is sick of spraying cold emails and hoping for the best, this one’s for you.

WE COVERED:

Why modern ABM works best with small teams and smart tools
How to build a high-intent target list using AI and intent data
The psychology behind warming up accounts before outreach
What real personalization looks like (and why most teams fake it)
Why buying committees need tailored messages, not a single CTA
How to use AI agents to do the heavy research for you
The playbook for launching multitouch campaigns that actually convert
How to measure success beyond clicks: engagement, velocity, and pipeline

FOR WHO?
If you’re a founder, GTM lead, or marketer inside a B2B startup (especially in tech, sustainability, or Web3), and you’re trying to make outbound work without burning your list or your reputation, this episode gives you the playbook.

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Chapters

1. How to Run Smart, Human, Scalable ABM Campaigns (Using AI + Psychology) (00:00:00)

2. Defining Account-Based Marketing (ABM) (00:01:15)

3. Building Your Target List with AI (00:02:06)

4. Identifying Key Stakeholders (00:03:20)

5. Warm-Up Awareness Strategy (00:03:49)

6. Leveraging AI Agents for Research (00:04:51)

7. Launching Your Multitouch Outreach (00:07:08)

8. Tracking and Measuring Success (00:08:57)

9. Conclusion and Next Steps (00:10:36)

46 episodes

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