Why AI Automation in Your Marketing Isn't Driving Pipeline Growth and How to Fix It
In this episode of The B2B Revenue Executive Experience, host Cory Cotten-Potter sits down with Kelly to explore how AI is reshaping marketing operations, go-to-market strategy, and the structure of modern marketing teams. They discuss why data intelligence is becoming a competitive advantage, how CMOs should approach organizational restructuring, and why marketing leaders need to understand the wider business rather than focus exclusively on campaigns and lead generation.
AI is changing B2B marketing faster than many organizations can adapt. Tasks that once required entire teams, including campaign execution and prospect research, account targeting, and data analysis, can increasingly be automated or supported by AI. Yet in most cases, greater automation does not automatically translate into more qualified opportunities, stronger pipeline growth, or better revenue outcomes.
For Kelly Hopping, CMO at 6sense, the challenge is not simply adopting AI, it is understanding how to combine technology, data, people, and processes to produce better business results. AI can execute quickly, but if it works with inaccurate contact information, poorly defined target accounts, or incomplete buying signals, it can amplify existing problems rather than solve them.
In this episode of The B2B Revenue Executive Experience, host Cory Cotten-Potter sits down with Kelly to explore how AI is reshaping marketing operations, go-to-market strategy, and the structure of modern marketing teams. They discuss why data intelligence is becoming a competitive advantage, how CMOs should approach organizational restructuring, and why marketing leaders need to understand the wider business rather than focus exclusively on campaigns and lead generation.
They also examine CRM data hygiene, sales and marketing alignment, pipeline visibility, and the possibility of increasingly autonomous go-to-market execution.
What You’ll Learn:
- Why AI automation in marketing does not guarantee pipeline growth
- How better B2B data intelligence improves account targeting and decision-making
- Why data quality matters more than simply having the right marketing technology stack
- How CMOs can restructure marketing teams for AI-driven execution
- Why organizations should assess their processes before replacing existing roles or hiring new people
- How to build a more accurate ideal customer profile and target account list
- Why CRM data hygiene and honest pipeline reporting matter to revenue growth
- How marketing teams can measure their impact on pipeline acceleration
- Why sales and marketing alignment requires shared accountability and better account intelligence
- How marketing leaders can prepare for increasingly autonomous go-to-market execution