How Marketing Teams Are Using AI to Drive Pipeline

27 snips

Dec 25, 2025

Guest

Jean Cameron

Join Morgan Cole, VP of Demand Generation at Red Canary, Lisa Cole, CMO at 2X, and Jean Cameron, Sr. Director of Marketing at Demandbase as they delve into how AI is reshaping B2B marketing. Discover insights on spotting in-market buyers earlier and the shift from individual leads to understanding buying groups. They also tackle the pitfalls of outdated lead scoring and the power of predictive analytics to refine pipeline strategies. With a focus on brand and demand synergy, this conversation reveals how teams can innovate amidst resource constraints.

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ADVICE

Prioritize Account Context Over MQL Count

Treat account-level engagement as one opportunity, not dozens of MQLs.
Avoid sending separate lead alerts for many people from the same account; surface account context instead.

ADVICE

Diagnose Deals To Train Predictive Models

Dissect closed-won, closed-lost, and churn deals to surface predictive signals.
Use AI to automate analysis of unstructured data so humans focus on strategy.

INSIGHT

Unlock Unstructured Data For Win Signals

Unstructured data (call transcripts, mentions, analyst citations) contains hidden signals that AI can surface.
Those mentions and multiple references often correlate with win rates.

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315 | Jess Lytle (Head of Marketing at Exit Five) hosts a live roundtable with Morgan Cole (VP of Demand Gen at Red Canary), Lisa Cole (CMO at 2X), and Jean Cameron (Sr. Director of Field & Partner Marketing at Demandbase) on how B2B teams are using AI to drive pipeline and revenue. They share real examples of how marketers are identifying in-market buyers earlier, moving deals faster, replacing outdated lead scoring, and keeping marketing, sales, and ops aligned around revenue. The conversation goes deep on intent signals, buying groups, predictive analytics, brand vs demand, and what’s changing in the new era of pipeline accountability.

Timestamps

(00:00) - AI hype vs real revenue impact
(07:23) - Panel intros and GTM perspectives
(09:53) - The real pipeline problem: growth without more headcount
(12:23) - How teams use AI to identify in-market buyers earlier
(17:53) - Buying groups, not leads: why account signals matter
(21:53) - Predictive analytics, pipeline forecasting, and deal analysis
(28:43) - Why traditional lead scoring is breaking
(38:44) - How teams “swarm” accounts with marketing + sales
(45:04) - Brand and demand together: building future pipeline

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Brought to you by:

Customer.io - An AI powered customer engagement platform that help marketers turn first-party data into engaging customer experiences across email, SMS, and push. Learn more at customer.io/exitfive.

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