Data sourced from Dakota Marketplace, the global LP and GP intelligence platform trusted by thousands of investment professionals. Learn More | Book a Demo
Dakota Marketplace tracks 57,000+ private funds and 70,000+ private market transactions, adding roughly 6,000 new deals every month. Building a dataset like that takes a dedicated research team, years of work and daily upkeep. Most financial publishers don’t need to build it. They need to put it in front of their readers.
Financial media companies already own the hardest thing to build: a trusted audience. What they often lack is proprietary data that turns a good article into a research tool readers come back to, and pay for. Licensing that data through APIs, embedded tools and recurring feeds lets a publisher launch premium products in months instead of years.
In this article, we’ll cover why proprietary data is becoming the next growth lever for financial media, the build-versus-buy decision every publisher faces, the three Dakota datasets available to license, five premium products you could launch, and what the economics can look like.
Why Financial Media Needs More Than News
Advertising, subscriptions, sponsorships and events still drive most financial media businesses. But readers now get general market news from dozens of sites, social feeds and AI research tools. When the headline is everywhere, the publication that wins is the one with answers no one else has.
Professional readers ask questions like these every day:
- Which registered investment advisors own a particular ETF?
- How does a private equity fund’s performance compare with its vintage-year peers?
- Which private credit strategies are reporting the strongest returns?
- Which private equity sponsors are making the most acquisitions?
- Which industries are seeing the most private company M&A?
Answering them takes structured data connected across thousands of firms, funds, securities and deals. The shift for publishers is from monetizing content alone to monetizing content, data and intelligence together.
The Build-Versus-Buy Decision
Say a publisher wants to launch a private equity benchmarking product. On paper it sounds simple: collect fund performance, sort it by strategy and vintage year, calculate benchmarks and build an interface.
In practice, the publisher needs data sources, collection workflows, normalization, fund classification, benchmark methodology, historical records and constant updates. That means engineers, analysts and quality control. ETF ownership data adds 13F processing and entity matching. Transaction data adds buyer, seller and sponsor mapping for every deal. None of it is a one-time project.
So the real question for a media company is this:
Do we need to own the data infrastructure, or do we need to own the customer experience built on top of it?
A publisher’s edge is its brand, editorial judgment, audience and distribution. It doesn’t need to own every database behind its products.
Want to see what your publication could launch? Dakota licenses ETF ownership, private fund performance and transaction data through APIs, embedded tools and feeds. Explore a Dakota Media Data Partnership, book a demo.
What Dakota Marketplace Adds
Dakota Marketplace is built and maintained by a 60-person research team, updated daily and never scraped. Beyond its subscription platform, Dakota licenses selected datasets to financial publishers through Data Solutions for Financial Media. Three are especially relevant:
- ETF Ownership Intelligence: connects 13F holdings to the specific RIAs and institutional managers reporting them, across 17,000+ RIAs, with quarter-over-quarter changes.
- Private Fund Performance & Benchmarking: 57,000+ private funds, with verified IRR, TVPI, DPI and RVPI on 14,000+, plus a Private Fund Benchmark Calculator that compares any fund by asset class, sub-asset class and vintage year.
- Private Company Transaction Intelligence: 70,000+ private market transactions, growing by roughly 6,000 a month, linked to buyers, sellers, sponsors, industries and decision-makers.
The publisher owns the reader experience, the product and the subscription relationship. Dakota supplies the data behind it.
Five Premium Data Products Financial Media Companies Can Launch
1. An Interactive Private Markets Benchmarking Center
Picture a private equity publication running a story on 2020-vintage fund returns. Alongside the article, readers open a Dakota-powered benchmark calculator, enter a fund’s IRR or TVPI and see how it compares with its peer group. The same tool can anchor a subscriber-only benchmarking hub covering private equity, private credit, venture and real assets.
Why it matters: A one-time article becomes a research tool readers return to every time they evaluate a fund.
2. An ETF Institutional Ownership Research Platform
ETF coverage usually stops at performance, fees and flows. With Dakota’s 13F data, an ETF publication can show which reporting RIAs and institutions hold a fund, how positions changed last quarter and which ETFs are gaining adoption among advisors. Because 13F filings are quarterly and don’t capture every investor, the data should be labeled as reported institutional holdings.
Why it matters: Readers get an answer they can’t find on a fund fact sheet, refreshed every filing cycle.
3. A Private Equity Deal Intelligence Dashboard
A business news organization can turn Dakota’s transaction data into a searchable tracker of sponsor-backed acquisitions, the most active buyers and consolidation by industry. A regional business journal could build the same tracker for its own market. Journalists get story leads, and readers get a reason to subscribe.
Why it matters: Your newsroom spots deal trends faster, and your subscribers get a tool no competitor offers.
4. A Premium Private Markets Newsletter
A publisher can combine fund performance trends, new transactions and institutional positioning into a recurring data-driven newsletter. A free edition carries the highlights, while paying subscribers get full rankings and interactive access.
Why it matters: A newsletter built on proprietary data stands out in a crowded inbox and creates a clear upgrade path.
5. A White-Label Intelligence Portal
A publisher can launch a research experience under its own brand, with Dakota powering the data behind the scenes. The publisher manages the customer relationship, pricing and editorial experience. Attribution, redistribution rights and permitted uses are set in the partnership agreement.
Why it matters: You grow a subscription business under your brand without becoming a data company.
How Publishers Plug In
Publishers can pick the delivery model that fits their team and their product:
- APIs: your developers pull structured data into your own site, app or research platform, and you control the interface.
- Embedded tools: drop Dakota’s benchmark calculator into an article or subscriber portal, with no analytics engine to build.
- Recurring data feeds: receive scheduled updates on transactions, fund performance or 13F changes to fuel rankings, reports and newsletters.
What the Economics Can Look Like
Take a hypothetical publisher with 100,000 registered readers. It licenses private fund data and benchmarking tools, then launches a premium research subscription at $299 a year.
If just 2% of those readers subscribe, that’s 2,000 paying subscribers and $598,000 in annual subscription revenue.
This is an illustration, not a forecast. Real pricing, conversion and retention need testing, and the publisher carries licensing, integration, marketing and support costs. But add a second product on ETF ownership or a third on deal intelligence, and each one is another way to monetize the same audience.
Where Building In-House Falls Short
Building your own data operation gives you full control, but it comes with real tradeoffs. Here is how the two paths compare:
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Building in-house means hiring researchers and engineers, sourcing and cleaning data, and maintaining it every day before a single reader sees a product.
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Licensing from Dakota Marketplace gives you researched, daily-updated data and ready-made tools from day one, so your team can focus on product, pricing and audience.
For most publishers, the advantage isn’t owning the database. It’s owning the audience, the brand and the experience readers pay for.
Explore a Dakota Media Data Partnership
Your readers want answers, and Dakota Marketplace can help you be the publication that has them. Through Data Solutions for Financial Media, you can license:
- ETF Ownership Intelligence: 13F holdings mapped to 17,000+ RIAs and institutional managers
- Private Fund Performance & Benchmarking: 57,000+ funds, verified performance on 14,000+, plus an embeddable benchmark calculator
- Private Company Transaction Intelligence: 70,000+ transactions, with roughly 6,000 added every month
- Delivery your way: APIs, embedded tools or recurring data feeds
Own the audience. Own the customer experience. Partner with Dakota for the data.
Ready to launch your next premium data product? Book a demo to explore a Dakota Media Data Partnership.
