B2BVault's summary of:

Jennifer Clark (Zoom) on Turning Content From Cost Center to Revenue Powerhouse

Published by:
Animalz
Author:
Ty Magnin & Other

Introduction

Zoom’s lean content team proves small teams can drive big revenue impact by tracking real conversions, not just vanity metrics.

What's the problem it solves?

Many companies see content as a cost center. Without proving ROI, content teams struggle for resources, strategic input, and executive trust.

Quick Summary

Jennifer Clark leads Zoom’s small but highly productive content team, producing over 300 assets in a year. She runs a pod model that unites product marketing, demand gen, and content around shared quarterly goals, ensuring content aligns with launches, pipeline needs, and brand storytelling. This structure avoids reactive production and builds shared accountability.

The team operates from a centralized intake system in Zoom Docs, which automates briefs, updates editorial calendars, tags stakeholders, and feeds live dashboards for executives. They prioritize projects based on impact and timing, sometimes saying no - but always with an alternative. Collaboration extends across departments, with strong ties to social, brand, PR, and sales.

Crucially, Clark’s team tracks revenue-adjacent metrics like demo bookings, talk-to-sales clicks, and pricing page visits. This data-driven approach shifts content from “nice-to-have” storytelling to a measurable revenue driver. AI tools, including Zoom AI Companion, boost efficiency by summarizing meetings, generating outlines, and repurposing content. Looking ahead, the team is adapting content for AI-driven search by creating unique visuals, templates, and checklists that stand out from generic listicles.

Key Takeaways

  • Treat content as a revenue driver, not just a brand expense
  • Pod model aligns content, product marketing, and demand gen around shared goals
  • Centralized intake and editorial systems save time and improve visibility
  • Track high-value actions (demos, sales calls) over vanity metrics
  • Small teams can scale output through systems, cross-training, and prioritization
  • AI can free time for strategy by handling summaries, outlines, and reporting
  • Prepare for AI-powered search with unique, high-value assets

What to do

  • Implement a pod model linking content, product marketing, and demand gen
  • Use a central intake form connected to your editorial calendar and dashboards
  • Align priorities quarterly to avoid reactive content requests
  • Measure success with metrics tied to pipeline and revenue, not just engagement
  • Train team members to flex across projects for efficiency
  • Use AI to handle repetitive tasks and repurpose content quickly
  • Create unique, tangible assets (templates, checklists, visuals) to stand out in AI-driven search

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