Independent Data Collaboration Platforms Are Gone — Except One

TL;DR 

• Most major data collaboration platforms are now owned by companies with direct advertising interests.
• When the same organization participates in media execution and campaign measurement, neutrality becomes harder to guarantee — and budget allocation and ROAS calculations can reflect your media agency’s incentives as much as your actual performance.
• When your first-party data sits inside a platform owned by a company with advertising interests, the question isn’t just who measures your campaigns — it’s who has access to your data and what they can do with it.
• Ad networks, Commerce Media, and brands evaluating DCPs should look beyond features and ask whether the platform’s business model stays neutral regardless of which channels perform best.

Who owns your measurement now?

The infrastructure marketers have relied on for neutral campaign measurement is now owned by the companies running the campaigns. That shift happened quietly, over about 18 months, and its implications for how you read performance data are significant.

Last week, Publicis, one of the world’s largest agency holding companies, acquired LiveRamp. Before that, WPP took over InfoSum, and LiveRamp absorbed Habu. Three years ago, brands had a choice of credible, independent data collaboration platforms. Today, most major players in the category sit inside a company with direct financial interests in advertising.

Every player except one.

Why data collaboration platform independence matters more than ever

When a company measures what it sells — or holds data that could benefit its other clients — the relationship creates a structural conflict of interest. That’s not a design flaw, and it doesn’t require deliberate wrongdoing to create real risk.

Marketers have already seen this dynamic play out inside walled gardens. As Meta, Google, and TikTok expanded their advertising platforms, the market looked to independent measurement providers to provide a neutral check on performance claims made by companies that benefited from those results. Incentives shape methodology, methodology shapes attribution, and attribution shapes where your budget goes next.

That same incentive principle applies to data collaboration platforms owned by agency holding companies. When an agency holding company’s measurement infrastructure reports on its own media spend, brands are relying on an auditor who owns shares in the company being audited.

Measurement isn’t the only area affected by ownership. Data collaboration platforms now sit at the center of both performance measurement and first-party data strategy. As a result, the same questions brands ask about neutrality, transparency, and incentives don’t stop at attribution. They apply to how data is governed, stored, activated, and shared as well.

Whether the concern is campaign performance or data custody, perceived conflict alone is enough to erode trust. Independence matters because it gives brands confidence that neither their results nor their data is being influenced by competing commercial interests.

What truly independent marketing measurement requires

Independence, in practice, comes down to one question: does your measurement partner’s business benefit from the results it reports? 

A neutral measurement layer within a data collaboration platform should treat every media channel the same, with no channel structurally favored because it aligns with the platform owner’s commercial interests. Brands and retailers should be able to interrogate the data, pressure-test attribution models, and customize methodologies to reflect how their businesses actually work. Through deduplication, credit gets assigned once, accurately, regardless of where the conversion happened. 

Without that neutrality, budget allocation and ROAS calculations can reflect your agency’s incentives more than your actual campaign performance.

The most consequential campaign decisions happen mid-flight, not after it. Most DCPs currently sit outside optimization workflows, meaning they can’t process data quickly enough to influence performance adjustments in real time. As that changes, so do the stakes of ownership — a platform that benefits from where media spend flows will have a direct conflict of interest at precisely the moment when budget decisions are still being made.

Signal loss inevitably creates gaps in attribution. How those gaps are filled is where methodology and incentives collide. Modeled data built within a proprietary system is only as reliable as the incentives that drive it. You should be able to understand the methodology well enough to challenge it, instead of just having to accept the output.

Retail and commerce media illustrate why neither side can afford a conflicted measurement partner. As brands build direct data partnerships with retailers, both sides need independent performance verification. Retailers need credible third-party proof to attract advertiser spend. Brands need measurement that is deduplicated, deterministic, and independent of the retailer’s own reporting.

An independent data collaboration partner can serve as that verification layer. A platform affiliated with a company that profits from where ad spend flows cannot.

Who has access to your first-party data?

Measurement integrity is one pillar of the independence argument. The other is data custody: where your first-party data goes once you share it, who can access it, and what other business interests it could be used for beyond your campaigns.

When your data sits inside a platform owned by an agency holding company, the governance concern becomes immediate. Your data has potential value beyond your campaign — to the platform’s parent company, to its broader commercial ecosystem, and potentially to other clients served by the same organization. You may never know how it’s being used or modeled. No deliberate misuse is required for that to matter because the exposure is built into the ownership model.

Marketers need clear answers about how their data is governed. Data should be used only for explicitly authorized purposes, with documented controls that prevent secondary commercial use by the platform or its parent company. Those controls should be transparent and verifiable.

An independent platform has no adjacent business that benefits from your data. There’s no parent company with competing media interests, no agency with clients whose interests conflict with yours, and no reason to use your first-party data beyond the purpose you agreed to. Governance is built into the business model, not added as a policy afterthought.

Questions to ask any data collaboration partner right now

The consolidation of the category makes vendor selection a higher-stakes decision than it was 18 months ago. These questions cut through positioning to what actually matters:

• Does this company, or its parent company, generate revenue from advertising? If yes, understand the structural relationship between that business and your measurement before you commit.
• Does the platform apply the same attribution logic across all your channels, with no preferred partners and no channels that receive more favorable treatment?
• Is your first-party data used only for purposes you’ve explicitly authorized, with clear governance and no secondary commercial use by the platform or its parent?
• When signal loss occurs, how does the platform fill the gaps — and is that methodology auditable from outside the system?
• Does the platform’s business model stay neutral regardless of which channel performs best in your campaigns?

AppsFlyer is now the only major independent data collaboration platform

We didn’t design our independence as a response to industry consolidation. We’ve been steadfastly independent and unbiased since we started. We don’t sell media. We don’t run an agency. We have no financial stake in which channels perform best in your campaigns — which means our only interest is making sure your data tells you the truth.

That independence extends to how we handle your data as a data processor. We don’t sell data, build profiles, or use customer data for any purpose beyond what’s explicitly authorized. You maintain complete ownership and control of your data, governed by granular permissions and privacy-first architecture, with no secondary commercial use by AppsFlyer or any party outside your explicitly authorized collaboration.

The AppsFlyer Data Collaboration Suite delivers closed-loop, SKU-level measurement, a real-time signal layer for in-flight optimization, and data activation across in-app, open web, and CTV campaigns. Cross-channel deduplication gives every channel equal treatment: no double-counting, no inflated ROAS, no ambiguity about what’s driving results. More than 15,000 brands trust AppsFlyer as their primary source of truth because it’s built on market-leading privacy-enhancing technologies, a partner ecosystem that spans the industry, and over a decade of measurement expertise.

The market has consolidated. Neutrality won’t be the default for much longer. If you’re reassessing your measurement stack in light of recent changes, talk to our team about what independent data collaboration looks like in practice.