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- SODP Dispatch -2 July 2026
SODP Dispatch -2 July 2026
Domain traffic monetization in 2026 and beyond, The vertical AI opportunity publishers are missing, How Deutsche Welle builds audience strategy across 30-plus languages, LiveRamp × OpenAI, Why are audiences going to AI answer engines for news? + more

Hello, SODP readers! Happy New Month.
A warm welcome to all our new members joining the community this week.
In today’s issue:
From SODP: Domain traffic monetization in 2026 and beyond + How Deutsche Welle builds audience strategy across 30-plus languages
Resources & Events: LiveRamp × OpenAI
Tip of the week: The vertical AI opportunity publishers are missing
News: Why are audiences going to AI answer engines for news?, What short news videos reveal about the Messi–Ronaldo debate — and news distribution today, How newsrooms around the country commemorated the USA at 250
FROM STATE OF DIGITAL PUBLISHING
Sponsored
Domain traffic monetization in 2026 and beyond
By RollerAds
Over the past few years, we’ve watched domain parking earnings drop sharply. What used to be a reliable passive income stream for many publishers has become much harder to maintain, forcing quite a few operators to shut down or pivot entirely.
But here’s the good news: monetizing domain traffic is still very much possible in 2026, provided that you approach it the right way.
At RollerAds, we’ve been helping publishers turn parked domains back into profitable assets. In this article, we’ll share what’s changed in the industry, why domain traffic still has strong potential, and how our platform makes it straightforward to earn from your domains today.
💡 What you will learn:
The rise and fall of domain parking
Can parked domains still be monetized in 2026?
Why publishers choose RollerAds for domain monetization
How Deutsche Welle Builds Audience Strategy Across 30-Plus Languages in the Age of Algorithmic Discovery
By Samuel Fatola
The audience development playbook that defined the last decade of digital publishing is no longer fit for purpose. The dominant logic was straightforward: publish quality journalism, optimise for search, build a social following, and drive traffic back to owned platforms. Distribution was a final step. Audience development sat downstream of the newsroom, not inside it. The data now make the scale of the shift impossible to ignore. According to the Reuters Institute Digital News Report 2026, social media and video networks have overtaken both television and publishers’ own websites as the most widely used way of accessing news across 48 markets. More telling: use of news organisations’ own websites and apps has fallen 12 percentage points since 2020; the very destination the old playbook was built to drive traffic toward is eroding. Among the young, the shift is close to total; more than half of 18-to-24-year-olds globally now name social platforms, video networks, or AI as their primary news source, 32 points clear of anything else.
The challenge intensifies dramatically at scale. Most publishers are navigating this shift within a single language and cultural context. Deutsche Welle operates across more than 30 languages simultaneously, spanning dozens of cultural contexts, audience expectations, trust signals, and platform behaviours, where what works in Germany may fail entirely in Indonesia, and what resonates in Brazil may be opaque in Arabic-speaking markets. Managing platform strategy at that level of complexity is not simply an audience development challenge; it is an organisational design challenge of a different order entirely.
Erika Marzano, Audience Development Manager at Deutsche Welle, has spent years working at that intersection, developing short-form video formats that measurably improve watch-through rates, co-founding Deutsche Welle’s Young Audiences Team, and leading TikTok and X strategy across language services that span continents. Few audience development professionals anywhere have operated at the breadth of scale she has.
In this conversation with State of Digital Publishing, Erika sheds light on the challenges publishers face while shaping audience-first strategies. From navigating the expectations of a 14- to 17-year-old audience in journalism to the effective use of analytics in newsrooms to the realities of short-form video, she shares practical perspectives that can help media organisations think outside the box and achieve sustainable growth across markets while remaining locally relevant.
RESOURCES & EVENTS
🎯 LiveRamp × OpenAI: Measure Your ChatGPT Ad Performance
If you're running or planning ads on ChatGPT, you can now close the measurement gap. LiveRamp's Conversions API (CAPI) Hub connects directly to ChatGPT ad campaigns via secure server-to-server data connections, meaning you get reliable conversion tracking without depending on browser-based signals that often break or go missing.
In practice, this means you can:
See which ChatGPT campaigns are actually driving conversions — not just clicks
Optimize spend in real time based on accurate performance data
Justify and grow your ChatGPT ad budget with measurement data you can trust
As consumer journeys shift toward AI-powered platforms, this gives marketers the infrastructure to keep up, connecting data, measuring impact, and proving ROI on one of the fastest-growing ad surfaces in the world.
BITE-SIZED ADVICE
By Vahe Arabian
🏗️ From Content to Knowledge Infrastructure: The Vertical AI Opportunity Publishers Are Missing
Publishers sitting on decades of structured, domain-specific content are the most natural builders of vertical AI products, and most of them don't know it yet.
The economics of digital publishing are shifting. Content has become a tradable asset, and the publishers who recognise this earliest are repositioning ahead of the rest of the field. Most publishers are responding with distribution tactics, such as more newsletters, more social, more SEO pivots, etc. Those are useful, but they are not the real opportunity.
The opportunity is structural. Publishers have something AI companies pay significant money to access: verified, structured, domain-specific knowledge built over years. Most publishers are licensing that content reactively, through flat fees and one-off deals, rather than asking what a publisher-built AI product would look like in their vertical.
The question worth sitting with is this: what does your editorial archive actually know? A publisher covering supply chains has years of structured analysis on disruption signals, supplier behaviour, and cost dynamics. A publisher covering healthcare regulation has a traceable record of policy shifts, compliance changes, and sector response. That is not content. That is knowledge infrastructure.
According to MarketsandMarkets, vertical AI agents are expected to grow at a compound annual rate of approximately 35% over the next five years, with proprietary datasets and domain expertise cited as the primary differentiator.
But an archive alone is not the asset. The publishers who actually win this shift will be the ones who can prove how their content is used, meter it, and price it, not simply the ones who have the largest catalogue. As one industry conversation on this exact question put it recently: licensing isn't capitulation, it is how rights become markets. That only works if a publisher has built the infrastructure to make it work: machine-readable rights, usage that can be measured, and provenance that can be trusted by machines, not only read by people.
Publishers who understand this are no longer competing for eyeballs. They are building query-answering, decision-support, and workflow-integration products for the professionals their editorial teams already serve. That is a different business model, and a far more defensible one.
The shift is not from content to technology. It is from thinking of content as the product to thinking of knowledge as the asset, and from owning an archive to knowing precisely what that archive is worth and how to build on it. The publishers who make that shift earliest will not need to fight for search referrals. They will be the infrastructure others rely on.
WHAT WE ARE READING
Why are audiences going to AI answer engines for news? | INMA
My newsroom friends, are you paying attention to what your audience actually wants? Probably not, according to the latest Digital News Report released by the Reuters Institute for the Study of Journalism at Oxford, which surveyed about 100,000 news consumers all over the world. And guess who is eating your lunch as a result? It should come as no surprise to any of you that the answer is ... AI answer engines. Why are news consumers asking AI answer engines about news? “Across 45 markets, asking chatbots a follow-up question is the clear front-runner, reported by 42% of users,” wrote researcher Amy Ross Arguedas.
What short news videos reveal about the Messi–Ronaldo debate — and news distribution today | NiemanLab
The World Cup is the gift that keeps on giving (to me). I was swiping through Instagram Stories during halftime of the Canada vs. Qatar World Cup match when I saw a post about a study about the political indicators of a person’s preference of soccer stars Lionel Messi, the Argentine forward, or Cristiano Ronaldo, the Portuguese striker. One of the major indicators was the consumption of short-form news video. The preprint paper, posted at the end of May, is titled “Political identity beyond politics: The Messi-Ronaldo preference across 26 countries.”
How newsrooms around the country commemorated the USA at 250 | Editor & Publisher Magazine
In anticipation of the United States’ 250th birthday this July 4th, Editor & Publisher asked our readers from around the country to share with us their plans for marking the occasion. They wrote to us from newsrooms big and small — from for-profits and nonprofits — from across the country, each excited to tell us about their special editions, videos series, in-person community events and other celebrations to come. For Elsa Cooke Verbyla, publisher of the Gloucester-Mathews Gazette-Journal, the newspaper is both family business and a civic responsibility.
Researchers find Google AI Overviews cut publisher clicks 39.8% | PPC Land
A randomized field experiment involving 1,065 desktop Chrome users has produced what its authors describe as the first causal evidence that Google's AI Overviews divert clicks away from publisher websites without improving how users experience search. The paper, published on the Social Science Research Network on April 3, 2026, and last revised June 17, 2026, found that when an AI Overview was shown, outbound organic clicks fell by 39.8% and zero-click searches rose by 34.5%, while clicks on sponsored results stayed flat.
Which AI systems actually read the live web, and why it decides your GEO | Search Engine World
I asked 16 AI assistants, in English, where a German should call in an emergency. Most of them sent me to America. 911. The US poison hotline. Me, sitting in Germany. (The correct answer is 112.) That was the moment I knew this little test was worth writing up. Here is what I did. I took 50 real, everyday health questions, the Your Money or Your Life kind that Google itself treats with extra care, and I put them to 16 assistants: ChatGPT, Claude, Gemini, Google AI Mode, Copilot, Perplexity, Grok, Meta AI, Mistral, DeepSeek, Qwen, ERNIE, Kimi, Doubao, Manus and Sakana.
Retail Media Has Grown Up, but Where’s the Measurement to Match? | AdWeek
The most important part of a retail media campaign is the part you can’t see. Before a campaign launches, you define your audiences, plan your media mix, and set your budgets. The campaign runs. What happens next? Almost nothing, from an optimization standpoint. The budget is being spent, audiences are being reached or missed, and media is performing or underperforming. Results are taking shape, but you’re in the dark. Days or weeks later, a post-campaign report arrives with ROAS, conversion data, and attribution by channel—but by then, the campaign is already over.

