At Informatica, the CEO made the CMO solely responsible for the company's entire sales pipeline. This shifts marketing's focus from departmental metrics (like MQLs) to the ultimate business outcome, forcing deep alignment with the CRO and sales organization.
Marketing presented data showing horizontal use-case campaigns had a better ROI than industry-specific ones. This convinced sales leadership to eliminate all industry campaigns, a counterintuitive move that increased pipeline for that segment by 30%.
The biggest obstacle to AI adoption is not the technology, but the state of a company's internal data. As Informatica's CMO says, "Everybody's ready for AI except for your data." The true value comes from AI sitting on top of a clean, governed, proprietary data foundation.
The CMO co-founded a peer group where fellow CMOs discuss strategy. Uniquely, they invite their entire marketing teams to join the calls. This democratizes high-level learning and ensures strategic insights about topics like AI use cases are shared directly with practitioners.
To get honest, ground-truth feedback, the CMO hosts quarterly roundtables with sales reps (AEs, BDRs) without their managers on the call. This forum allows him to ask directly what's working, what's not, and what content is effective, bypassing the typical filters of sales leadership.
Instead of asking for large, upfront AI investments, CMOs should run contained pilots. The guest cites a conversational AI bot that cost $60k for a year and generated $10M in incremental pipeline. Presenting this clear, massive ROI is the most effective way to gain board approval for scaling up.