Skip to content
Building the Connected Revenue Engine with AI episode artwork

Oct 1, 2026 19 min

Building the Connected Revenue Engine with AI

from Sales Pipeline Radio Hosted by Matt Heinz, Heinz Marketing

This week's show is entitled, "Building the Connected Revenue Engine with AI" and my guest is Kimberly Storin, Chief Marketing Officer, Zoom. Tune in as we discuss... Why Zoom's celebrity-driven ad campaigns work by anchoring humor to product truth, giving the brand permission (as a verb) that most competitors don't have to break through a crowded market. How Revenue OS and the Common Room acquisition aim to solve the real go-to-market gap: not a lack of data or intent signals, but the missing context and action layer to connect, prioritize, and act on them. Why marketing's role is more critical than ever when 80-95% of buyers stay in the "dark funnel," and why the bigger challenge is convincing internal stakeholders of that value rather than external strategy. Listen Now | Watch the video HERE Matt interviews the best and brightest minds in sales and Marketing. If you would like to be a guest on Sales Pipeline Radio send an email to [email protected]. Sales Pipeline Radio was recently listed as one of 30 Best Sales Management Podcasts and Top 60 Sales Podcasts You can subscribe right at Sales Pipeline Radio and/or listen to full recordings of past shows everywhere you listen to podcasts! You can even ask Siri, Alexa and Google or search on Audible!

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Building the Connected Revenue Engine with AI

0:00 19:22

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Sales Pipeline Radio?

This episode is 19 minutes long.

When was this Sales Pipeline Radio episode published?

This episode was published on October 1, 2026.

Can I download this Sales Pipeline Radio episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.