📹 NEW on YouTube: 5 Quick Ways to Fix Your B2B Marketing Tracking

In this episode, Carolyn and Amber get into the data paralysis that's stalling most GTM teams right now, and why waiting for perfect data is just a slower way of doing nothing.

They walk through a real client case study on fast-closing pipeline, what it revealed about where marketing actually has leverage, and why that answer looked completely different market by market.

Topics covered:

Why "decision-grade" data beats perfect data every time, and what it actually means to have it

Why the instinct to run more campaigns when pipeline is down is often exactly the wrong move

How to reverse-engineer your fastest-closing deals to find where marketing actually has leverage

The AI analytics problem nobody is talking about: hallucinations in your data, and why you need a serious validation process before you trust any output

How a $60M sales-led company should think about finding their marketing levers when they're building the function from scratch

If your team keeps getting pulled into data rabbit holes instead of moving the needle, this is a must-listen. The best companies don't track everything. They pick something and go prove it works.

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Want answers now?

🔎 The fastest way to understand what’s actually driving pipeline and revenue → All your data, connected, so you can see what’s working and what to do next.

[Get your full pipeline & revenue breakdown in 2 weeks]

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🎯 Understand why it’s been so hard to see what’s working → We’ll show you where your visibility breaks and why your current model can’t answer these questions.

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This episode is powered by ⁠Passetto⁠. If your marketing dashboards aren't giving you straight answers, you're in good company. Most Marketing teams simply don't have the visibility to understand how they are driving pipeline and revenue and where budget is being wasted.

Passetto changes that, giving marketing leaders the comprehensive data they need to act with confidence.

Identifying Your Marketing Levers When the CRM Data Isn’t Perfect (data trust, finding leverage fast, AI analytics hallucinations)