Key Highlights
- AI can enhance marketing efforts but requires strong, clean data foundations to avoid scaling confusion and inefficiencies.
- Trusted, expert-led content is more valuable than ever, especially as AI systems elevate certain sources over others.
- Audience growth strategies should shift from sheer scale to precision targeting based on intent and behavioral data.
- Measuring advertiser value now involves understanding post-lead engagement, buyer context and market conditions, not just lead volume.
- Effective AI governance, including transparency, data lineage and human oversight, is essential to maintain trust and compliance in data-driven marketing.
Last week, I had the pleasure of attending the Omeda Idea Exchange (OX) in Chicago, which brings together thought leaders and audience-focused professionals in publishing, tech, content creation and media. At OX9 (marking the conference's ninth year), speakers shared success stories, case studies, research, and perspectives on current challenges and opportunities in audience management and advertiser revenue.
B2B marketers have spent years chasing more: more leads, more traffic, more impressions, more content, more automation. But at OX9, the question was not how to do more, but how to become more useful, more trusted and more relevant in a market where buyers are overwhelmed, site traffic is under pressure, and AI is changing how knowledge moves. The conference agenda focused heavily on advertiser demand, audience growth, event personalization, AI answer engines, data governance and new ways to prove value beyond traditional metrics.
Across the sessions, one theme kept resurfacing: B2B marketers must understand their audiences deeply enough to turn data into trust, relevance and measurable business value.
Here are my five biggest takeaways from OX9:
1. AI will amplify your strengths, but it will also expose your gaps.
In her session, “The Next Era of Advertiser Demand: How We Got Here and What AI Changes Next,” Rebecca Kitchens, former president of Informa TechTarget, compared the current AI moment to the early internet era. The opportunity is enormous, but so is the disruption — as the adage goes, “When you invent the ship, you also invent the shipwreck.”
While AI can certainly make content creation, segmentation, personalization and buyer education faster, it can also make weak data architecture, inconsistent taxonomies, shallow audience understanding and generic content even more obvious. If the underlying data is fragmented, if users are not correctly mapped to accounts, if content is not tagged meaningfully, AI will not magically fix the problem. It will scale the confusion.
Kitchens emphasized the importance of backend data investments as a commercial advantage, including a single view of the user and account (necessary to establish a strong foundation for ABM), standardized fields across brands, user-to-company mapping, content taxonomies and performance metrics tied to behavior and monetization.
Before asking what AI can automate, ask what your data can actually support. AI rewards organizations with clean, connected, contextual audience intelligence, but everyone else risks building faster workflows on shaky ground.
2. Trusted content is becoming more valuable, not less.
One of the most interesting tensions at OX9 was the decline of traditional site traffic versus the rising value of trusted content. This is a tension that modern B2B marketers are all too familiar with.
Bobit Business Media VP of Product Zainub Sareea explained how her company built Ask BiBi, an AI assistant trained on 65 years of Bobit content. As Sareea stressed, the point was not to bolt AI onto the business, but to turn decades of human-written editorial expertise into a knowledge product that could answer audience questions directly and generate new insight into what users need.
That shift matters for marketers because it reframes the traffic problem. If users are getting answers from AI systems, search summaries or on-site assistants, page views alone will not capture the full value of content. As Sareea stated, the challenge is that your content answers your audience's questions, but you’re not getting the credit for it. Through building Ask BiBi, Sareea’s team was able to gather data behind conversations that GA4 wasn’t capturing: What are people asking, what does that reveal about intent, and how can those conversations create better audience experiences and advertiser value?
The line that really stuck with me is: “Content is no longer king; trusted content is king.” In other words, generic content will become easier to ignore, while distinct, expert-led, human-written, deeply useful content will become more defensible, more discoverable and more valuable.
That is especially important as AI search and answer engines elevate certain sources over others. As Kitchens noted in her session, trusted voices are getting stronger in AI environments, with a small number of domains commanding a large share of AI citations.
3. Audience growth is no longer about “more is more.”
The old audience growth playbook was built around scale — growing your list, increasing traffic, capturing more leads and building larger segments.
At OX9, the more compelling message was that audience growth now depends on precision. During the “Audience Growth: Rethinking the Traditional Playbook” session led by Golden Peak Media CEO David Saabye and Mansueto Ventures VP of Product Chrissie Lamond, the takeaway was direct: Lose the fantasy that more is always more. The right audience matters more than the biggest audience.
That theme also appeared in discussions about events. In “The Future of Events Is Personal,” Questex Group President Rhiannon James and Clarion CDO Narisa Wild emphasized that personalization is now table stakes as event attendees are becoming more ruthless with their time. With tight budgets, the challenges of AI/tech integration, geopolitical tension and economic volatility, people are genuinely asking, “Is this worth being out of the office?” If your event audience is smaller than in previous years, you don’t necessarily need to panic as long as you have the right people there.
For marketers, that question applies far beyond events. Every webinar, newsletter, report, podcast, article and nurture sequence now has to justify the audience’s attention. Broad personalization is not enough. The opportunity is to combine declared intent with behavioral data: what someone said they planned to do, what they actually did and what that gap reveals.
4. Advertiser value has to move beyond the lead.
B2B marketers know the lead is not the finish line, but too many measurement models still treat it that way.
OX9 repeatedly surfaced a more nuanced view of advertiser value. Kitchens noted that delivering good leads is not enough because campaign value and renewal often depend on what happens after the lead is delivered.
That is a critical point for any marketer responsible for proving ROI. A campaign can generate leads and still fail commercially if the follow-up is weak, the account context is missing, the buyer intent is misunderstood, or the advertiser cannot connect the engagement to meaningful pipeline movement.
Several sessions pointed toward richer value models: audience behavior in relation to high-value content, user-to-company mapping, content taxonomies tied to commercial targets, intent-based segmentation, and performance metrics that show where intervention can yield greater monetization.
In the "Market Spotlight" with Farm Journal CEO Prescott Shibles and A Media Operator Founder Jacob Donnelly, Shibles described the importance of understanding the conditions that create change in a market. For Farm Journal, that means using AI to combine demographic data, media preferences, intent data and transactional data to better understand why someone buys or doesn’t buy.
Advertiser value cannot be based solely on lead volume — you must consider buyer context, market timing, intent signals and the ability to show how marketing helps create or accelerate real opportunity.
Come for the audience insights, stay for the sweatshirt
Of course, there is so much more to the OX conference each year. I focused on takeaways for B2B marketing professionals, but OX9 provided insights for audience development, data management, digital revenue, and data privacy and governance. Omeda also offered deep-dive sessions on its products and announced new capabilities using agentic AI and a Model Context Protocol (MCP) layer to enable faster, more complete targeting and AI-driven activation.
Not only does Omeda offer extremely valuable, educational content for all attendees, but OX always brings the fun. When you attend OX, you may find yourself singing live band karaoke on the stage at the House of Blues, playing darts with your competitor, or cheering on your coworkers from the seats of Wrigley Field. (Personally, I always enjoy the roundtables because you get to ask specific questions and learn from your peers.)
But most importantly, you'll also walk away with fresh ideas, renewed energy, and the tools you need to successfully navigate whatever the AI era throws your way. Oh, and you'll also get the best sweatshirt ever (IYKYK).
5. Consent and governance are becoming competitive advantages.
AI may be accelerating marketing capabilities, but it is also creating new governance risks.
In “Smart Data, Safe Operators: AI’s Impact on Privacy & Governance,” Omeda VP of Privacy, AI and Data Governance Bettina Lippisch warned that AI is already making decisions about your audience. The question is whether your governance program knows it.
One of the most important concepts from the session was shadow data, or the inferred, imputed personal information that AI systems generate by analyzing patterns across disconnected data sets. Shadow data is not explicitly disclosed by customers — they may not have consented to it and, in many cases, they don’t even know it exists.
That should be a wake-up call for marketers using AI to segment audiences, personalize content, score leads or infer intent. The fact that data can be generated does not mean it can be used responsibly. This session emphasized the need for a transparency stack for your AI systems that includes model cards showing what each AI system does, the data it uses, and where it can fail; data lineage tracking the origin of data; human oversight so humans review AI outputs; and an ongoing testing and evaluation of accuracy, drift and bias.
If this seems like a Sisyphean task, take a deep breath and start with an AI inventory. Identify what systems people are using, what they are using them for, what data is involved and when the system was last reviewed.
An important takeaway from this discussion is that AI is not owned by IT or by any single part of your organization. Governance must be collaborative, especially when your AI tools use data from across your organization. Also, consent is not just a compliance issue. In a market where trust is harder to earn and easier to lose, permission-based audience relationships may become one of the most valuable assets a marketing organization has.
The bigger lesson: Relevance is the new scale.
The most useful message from OX9 was not that AI will change everything. Marketers already know that.
The more important lesson is that AI is forcing B2B organizations to confront the quality of the relationships, data and content they already have. A bigger database will not help if the records are disconnected. More content will not help if it is not trusted. More leads will not help if advertisers cannot see what happened next. More personalization will not help if it is built on data that audiences did not knowingly provide.
The marketers who pull ahead will be the ones who use AI and data to become more relevant, not just more efficient. They will know who their audiences are, what they need, what they trust and when they are ready to act.
That is not the easiest version of the future, but it may be the most defensible one.
About the Author

Abby White
Vice President, Content Studio
As Vice President of EndeavorB2B’s Content Studio, Abby leads client-driven custom content programs across 90+ brands and the content strategy for topic and role-based newsletters serving executive audiences. An award-winning journalist with a marketer’s mindset, Abby brings 25 years of experience leading editorial, communications, marketing, and audience-building efforts across industries.
Abby launched her first magazine, Abby’s Top 40, in 1988 and made everyone in her family read it. While attending the University of Illinois, she paid her rent as a professional notetaker, which might explain why she still gets asked to take notes in meetings. Since then, she has held editorial leadership roles at an alt weekly, a newspaper, a luxury lifestyle magazine, a business journal, a music magazine, and regional women’s magazines, developing a sharp writing edge and a conversational tone that resonates with professional audiences.
She expanded into marketing while leading communications for an entertainment industry nonprofit and later drove rebranding and audience-building efforts for an NPR music station. At EndeavorB2B, she has been instrumental in driving editorial excellence, developing scalable content strategies across multiple verticals, and building the foundation for EDGE, the company’s portfolio of executive newsletters.
And if you’re a writer interested in contributing to MarketingEDGE, she’s the person you need to (politely) bug.
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