Data sourced from Dakota Marketplace, the global LP and GP intelligence platform trusted by thousands of investment professionals. Learn More | Book a Demo
Thousands of ETFs compete for investor attention, and financial media companies already cover them closely: launches, performance, fees, strategies, and assets under management. What most coverage still can't answer is a simple question: who actually owns these funds?
Which registered investment advisors (RIAs) hold a given ETF? Which institutions are adding to their reported positions? Which funds are gaining adoption among advisory firms?
Dakota Marketplace connects ETF holdings to the RIAs and institutional investors reporting them, which gives financial media companies a way to publish research their readers can't get anywhere else.
Why Ownership Data Adds a New Dimension to ETF Coverage
Performance, flows, expense ratios, and AUM are essential, but they describe the fund, not the people using it. If an ETF grows quickly over several quarters, a publisher can report the growth. With ownership data, that publisher can also show which institutions disclosed positions and whether adoption among reporting RIAs is widening.
The same applies to launches. When a sponsor debuts a new product, readers want to know which types of institutions start reporting positions in it.
The Challenge: 13F Data Is Hard to Organize
Institutional managers that meet the reporting threshold file Form 13F with the SEC each quarter, disclosing certain holdings, including many ETFs. Turning those filings into usable ownership intelligence takes real work:
- Standardizing firm names, since one advisory organization can appear under several names across datasets.
- Matching reported securities to specific ETFs, even as identifiers change.
- Tracking historical positions so quarter-to-quarter comparisons hold up.
- Connecting each investment organization to business information and professional contacts.
Building that internally means data engineering, entity matching, ongoing quality assurance, and constant maintenance. For most financial media companies, that is a classic build-versus-buy decision.
Six Ways to Turn Ownership Data Into Premium Content
1. Rank the most widely held ETFs among RIAs. Rankings usually sort by assets or performance. Try "The 25 ETFs Most Widely Held by Reporting Registered Investment Advisors" and count reporting advisory firms instead. Cut it by category, strategy, or quarter, and it becomes a recurring feature.
2. Show which ETFs are gaining institutional adoption. Compare quarterly filings to find funds adding reporting holders. A quarterly piece like "10 ETFs Seeing the Fastest Growth in Reported RIA Ownership" gives readers a view of adoption that flow numbers miss. A change in reported ownership does not prove money moved in or out, but it does show where institutional interest is building.
3. Show which RIAs own a particular ETF. Pair an article on a fast-growing active ETF with an interactive table of the advisory firms reporting it, including holder counts, position sizes, and quarterly changes. Readers explore the ownership instead of just reading about the product.
4. Track changes in institutional positioning. Each 13F cycle supports a new batch of content: the largest increases and declines in reported positions, new ETF positions at major advisory firms, and shifts across ETF categories, like dividend ETF ownership trends. The recurring cadence gives readers a reason to come back.
5. Launch a specialized ownership newsletter. Something like "The ETF Institutional Ownership Report, Powered by Dakota Marketplace" could highlight new reporting holders, funds gaining adoption, and notable manager activity. Offer a free summary and keep detailed rankings and interactive research for premium subscribers.
6. Build interactive research tools. The biggest long-term opportunity is moving past articles. Using Dakota's structured data, subscribers could search an ETF and see its reporting RIA holders, ownership trends, historical positions, and changes between filing periods. That is a research product refreshed with every filing cycle, not a single article.
New Revenue Streams for Financial Media Companies
Proprietary data can support more than better content. It can anchor new commercial products:
- Premium subscriptions: Ownership research, rankings, and tools give readers another reason to pay.
- Specialized research products: Quarterly ownership reports, ETF adoption studies, and category-specific research.
- Newsletter sponsorships: Original data-driven newsletters attract sponsors, as long as commercial relationships stay separate from editorial conclusions.
- Enterprise subscriptions: Advisory firms, asset managers, ETF issuers, and research teams may pay for deeper ownership intelligence.
- Embedded analytical tools: Ownership dashboards can sit inside a publisher's existing platform, subject to data licensing terms.
Why Partner Instead of Build
Collecting filings, matching securities, resolving entities, and maintaining history is slow, expensive work that does nothing for your editorial brand. Dakota has already built that infrastructure, so publishers can focus on what they do best: editorial expertise, audience relationships, product design, and distribution.
Partnerships can take several forms, each shaped around the publisher's audience and goals:
- API licensing to integrate ownership data into your site, dashboards, or research platforms.
- Recurring data feeds delivered after each quarterly reporting cycle.
- Custom research datasets for rankings, articles, newsletters, and studies.
- Embedded research experiences built on Dakota data under agreed licensing and attribution terms.
- Co-branded intelligence that pairs your audience and editorial voice with Dakota's data.
What Dakota Marketplace Provides
Dakota combines 13F filings with its own classifications and institutional profiles. Publishers can see which reporting RIAs hold a specific ETF, which managers report the largest positions, which ETFs have the broadest ownership, and which firms newly added or dropped a holding.
One caveat belongs in every piece you publish: 13F filings are quarterly, are generally filed with a delay of up to 45 days, and do not cover all investor holdings. This data shows disclosed institutional positioning, not real-time flows or a fund's complete shareholder base. Say so clearly, and the data becomes a credible resource for financial journalism.
Book a demo to explore Dakota's 13F holdings intelligence
