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Truth, Trust, and Experience: Protecting Brand Value in the Age of Deepfakes

Heather Holst-Knudsen
Philip Thomas
Heather Holst-Knudsen & Philip Thomas

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Heather Holst-Knudsen
Heather Holst-Knudsen · May 20th, 2026
At the May 2026 CEO Boardroom Exchange, CEO and president level leaders across media, events, and data/information businesses compared live AI use cases and pressure-tested the harder question: does AI merely improve efficiency, or can it change revenue quality, margin structure, and enterprise value?
# CEO Strategy
# Board reporting metrics
# Executive leadership
# AI
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Heather Holst-Knudsen
Heather Holst-Knudsen · May 20th, 2026
The CEO Roundtable at RevvedUP showed that AI is no longer a side initiative for media and event CEOs. It is becoming the new operating cadence for growth, productivity, customer intelligence, and value creation.
# AI strategy
# CEO leadership
# Media Industry
# Events
# Revenue growth
# RevvedUP 2026
# Revenue Room CXO
# Business Transformation
# AI adoption
# Executive strategy
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Revenue leadership in media, events, and data/information businesses is shifting from funnel volume to signal quality. Heather Holst-Knudsen highlights how four senior commercial leaders are using AI, first-party data, churn dashboards, customer-fit discipline, and human-led selling to drive revenue growth, profitability acceleration, and value creation improvement.
# Data-driven GTM
# Revenue Strategy
# AI in sales
# Revenue Operations
# first-party data strategy
# Customer retention
# GTM strategy
# Commercial Leadership
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Jessica Sibley’s RevvedUP keynote made the case that legacy media transformation is not about chasing trends. It is about turning trusted journalism into revenue growth, profitability acceleration, and enterprise value creation.
# Media Strategy
# Legacy Media Reinvention
# Jessica Sibley
# TIME
# Revenue Growth
# AI in Media
# Commercial transformation
# # REVVEDUP 2026
# Media monetization
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At RevvedUP, Mark Shashoua, CEO, Hyve Group argued that the best event companies are no longer selling space, sponsorship, or generic networking. They are building category-defining platforms around senior buyers, measurable meetings, and year-round access.
# Event strategy
# Revenue growth
# Hosted buyer model
# Market-making
# Event monetization
# Category ownership
# Hyve Group
# # REVVEDUP 2026
# B2B events
# Executive leadership
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Heather Holst-Knudsen
Heather Holst-Knudsen · May 14th, 2026
Most pipeline reviews are built on stories. A rep says the deal feels good. A manager nods. Nobody has looked at the actual evidence. In Session 2 of the Revenue Performance Accelerator™ Bootcamp, I walked through a real, step-by-step AI opportunity risk scoring workflow that changes that dynamic entirely. AI inspects every open deal before the meeting, scores each one green, yellow, or red based on evidence in the system, and your pipeline review becomes a decision making session instead of a storytelling session. This blog explains how the workflow is built, why it matters for forecast accuracy, and the common mistakes that make AI fail at this before it even starts. , , forecast accuracy, pipeline quality, AI revenue workflow, n, pipeline hygiene, revenue AI, GTM workflow, H2K Labs, The Revenue Room™, Heather Holst Knudsen, revenue bootcamp
# AI pipeline review
# opportunity risk scoring
# forecast accuracy
# pipeline quality
# AI revenue workflow
# GTM workflow
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Heather Holst-Knudsen
Heather Holst-Knudsen · May 14th, 2026
Revenue leaders should stop relying only on lagging indicators. This article shows how media and events companies can build predictive signal libraries across new business, expansion, and retention—and turn first-party data into an early-warning system for revenue growth, profitability, and enterprise value.
# predictive signals
# gtm signals
# early warning revenue system
# revenue AI
# pipeline signals
# churn signals
# B2B revenue performance
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Heather Holst-Knudsen
Heather Holst-Knudsen · May 12th, 2026
In Session 1 of the Revenue Performance Accelerator™ Bootcamp, I walked participants through the five-layer AI Operating Model that I have built — and continue to build — inside my own business. Data. Signal. Workflow. Coaching. Governance. Five layers that work together to turn AI from a scattered productivity experiment into a repeatable revenue execution system. The insight I keep coming back to is this: signal without workflow is just another dashboard. And most organizations have plenty of dashboards and not nearly enough action. Here is how I think about building the operating model that changes that.
# AI operating model
# revenue operating system
# GTM AI framework
# AI workflow design
# signal layer
# revenue governance
# data layer
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Heather Holst-Knudsen
Heather Holst-Knudsen · May 12th, 2026
I've spent years working with revenue leaders across media, events, and data businesses — and right now, the most dangerous thing I see is leaders deploying AI onto revenue systems that were never built to support it. In Session 1 of the Revenue Performance Accelerator™ Bootcamp, I made one thing very clear: AI is not your strategy. Your revenue strategy is. And if that strategy is sitting on an undefined ICP, a messy CRM, and an inflated pipeline, AI is not going to fix it. It is going to expose it — faster and more expensively than you expect. Here is what every revenue leader needs to hear before they touch another tool.
# revenue operations
# AI revenue strategy
# GTM operating model
# revenue readiness
# B2B revenue performance
# AI in sales
# CRM data quality
# ICP definition
# pipeline discipline
# revenue forecasting
# AI operating model
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The Channel Company is moving from AI experiments to an AI‑native operating model by embedding human‑in‑the‑loop agents into search, research and workflow products, with 80 % of staff trained, more than 70 k prompts executed, and use cases like CRN Answers tripling search engagement while saving employees roughly 6½ hours per month. Matt Yorke’s roadmap highlights how building proprietary answer engines, data‑driven insights and generative agents can unlock revenue growth, margin expansion and enduring enterprise value for media and events businesses.
# Digital transformation
# CEO Strategy
# AI readiness
# Artificial Intelligence
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