The Real Cost of Waiting to Unify Your Audience Data

“Maybe Next Year” Is Getting Expensive

The free funnel is closing

For two decades, search carried a lot of publishers’ audience acquisition for free. That era is ending in real time.

Google referrals to publishers fell by roughly a third globally in 2025, and the media leaders surveyed expect search traffic to drop another 43% within three years. When an AI summary appears at the top of a results page, only about 8% of people click through to a source — down from 15% when there’s no summary. The traffic you never had to work for is receding, and nothing external is replacing it at scale.

The conclusion writes itself: the audience relationships you own — and can easily activate — are becoming the only durable acquisition asset you have. But owning them isn’t the same as being able to use them.

What “doing nothing” actually costs

Here’s the part that rarely makes the budget conversation: staying put isn’t free. It just moves the cost somewhere you’re not seeing.

Take Mansueto Ventures, the company behind Fast Company and Inc. Years of successful growth left them running seven separate systems — a customer data platform apart from their email platform, apart from digital subscription fulfillment, apart from print fulfillment, apart from lead-gen forms, apart from membership software, apart from their awards database. As COO Anne Marie O’Keefe describes it, the growth was a blessing that created “a crisis of scale”: customers siloed across systems and across brands, with no clean way to see the true value of someone who subscribes to two or more products.

That’s the cost.

With a product team of about a dozen engineers, Mansueto had those scarce resources disproportionately devoted to maintenance and API calls, building and babysitting the middleware between systems instead of building products for the audience. Marketers kept spreadsheets of their best customers on their desktops and passed suppression lists to each other by hand. Bundling across Fast Company and Inc. — an obvious revenue play — stayed elusive, because the stack couldn’t see one customer as one person across both brands.

You’re not alone in the gap

The Mansueto story isn’t an outlier — it’s close to the median. Only 9% of publishers use audience data extremely effectively to inform action and 59% say fragmented data slows execution. Read those together and the picture is clear: for most publishers the data exists, but it’s stuck in enough pieces that it can’t drive a decision fast enough to matter.

That’s the drag of the status quo. It’s not a system that’s completely broken; it’s a system that’s slow.

Why this year, specifically

If fragmentation were a steady-state problem, “maybe next year” would be a defensible answer. It isn’t steady state because the gap between publishers who act and publishers who wait is widening every quarter.

The data-mature leaders are pulling away. Top-tier publishers grew digital subscription revenue by 120% over a recent span, against 35% for the median publisher. Meanwhile, first-party data has shifted from nice-to-have to default: 71% of brands, agencies, and publishers are now growing their first-party datasets, nearly double the 41% of two years earlier. The organizations acting now are compounding an advantage; the ones waiting are compounding a deficit. Every quarter of “not yet” is a quarter the leaders don’t give back.

“But it’s too big a lift right now”

This is often the real objection behind “not this quarter.” And it deserves a straight answer because a unification project sounds like exactly the kind of multi-year, all-hands migration a lean team can’t absorb.

The publishers who’ve done it tell a different story. Mitch Bettis, who owns and runs Arkansas Business Publishing Group, came in with a genuinely hard integration — a custom paywall and meter to reconcile against databases that had lived in isolated buckets and never talked to each other. He expected a slog.

James Hume, Director of Audience Development at Louisiana Business, was blunt about the starting line — with multiple B2B and B2C brands, onboarding “is a beast.” His verdict afterward: “onboarding was easier than I expected.” And it paid off quickly. Using Omeda’s marketing automation tools, his team ran a one-week flash sale and saw an 833% lift in subscription sales versus the prior week.

At Bobit Business Media, VP of Product Zainub Sareea has been on both sides of the decision — she offboarded from Omeda, then came back. Her reason: Omeda has got the publishing niche figured out, down to how the data needs to be tagged and structured. And onboarding a new team member? “Super easy… I have no downtime.” She also names something easy to miss in an AI-everything market — that the human relationship stayed intact.

Amanda Landsaw, now the Chief Marketing Officer at EndeavorB2B and a client since 2009, summed up the everyday reality: it’s “one of the more user-friendly marketing automation platforms out there… everybody talks about how easy it is.”

The pattern across all of them isn’t “it was effortless.” It’s “it was lighter than we feared, and we weren’t alone doing it.” That’s the difference between a heavy lift and a supported one. Most teams have experienced integrating a new tool that was built for a different industry with little support.

Omeda is different. With over 40 years of experience supporting media and publishing clients, our team knows exactly what it takes to get teams up and running smoothly. That’s not something you get with more recent tech start up teams.

The math of waiting

None of this makes unifying your audience data urgent on its own. What makes it urgent is timing: the free traffic is receding, the leaders are pulling ahead, and the cost of a fragmented stack compounds while you wait. Acting this year isn’t about chasing a trend — it’s about not losing another quarter or another year to the drag your teams are experiencing pulling the data together to act.

If you’re not sure where your organization lands on that curve, that’s worth five minutes to find out.

How urgent is your audience-data problem? Take the 2-minute assessment.