Rokt is asking data, legal, and procurement teams to judge a partnership by one test: whether purpose, ownership, and accountability stay clear as relevance scales.
Most vendors that touch customer data eventually meet the same gatekeepers, whether it’s a chief privacy officer weighing purpose and consent, a general counsel parsing who is liable for what, or a procurement lead pricing risk against value. Rokt has chosen to address that group on its own terms. In guidance aimed at privacy and legal teams, the company makes an argument that runs against the usual vendor script: responsible data handling is not a brake on relevance but the precondition for scaling it.
The tension it is trying to resolve is real. The business wants more signal and faster decisions. Customers want transparency and control. Privacy and legal teams want purpose, consent, and accountability spelled out. Rokt’s contention is that those pull in the same direction only when a partnership is explicit, from the first data question to the last clause of the contract, about who owns what and who answers for it.
Purpose over volume
The opening claim is almost counterintuitive coming from an AI company: relevance does not require every available signal, only the right one for the decision being made. When the purpose of a data point is clear, it is easier to govern, easier to explain to a customer, and easier to write into an agreement. When the purpose is fuzzy, extra data tends to add risk without adding value. That reasoning, one strand of the framework the company calls the business of relevance, speaks directly to a chief data officer who must justify activating first-party data against measurable outcomes, and to a general counsel who has to assign responsibility for data, content, and customer relationships without gaps. It also echoes a warning from Rokt chief commercial officer Elizabeth Buchanan in the firm’s 2026 outlook, that “scale without control leads to saturation, diminishing returns, and frustrated consumers.”
Governance is cheaper before launch
A more practical point concerns timing. Privacy and legal teams are frequently handed an experience to review after the business has already committed to the data, the integration, and the commercial model, which is an expensive place to start asking about purpose or ownership. The alternative Rokt recommends is to fix those boundaries at the outset: what data is needed and why, which party owns the customer relationship, what controls apply, who holds decision rights, and what happens when a use case changes. Resolve that early, and the data model, the operating model, and the contract end up describing one relationship instead of three.
Who is accountable when an agent buys?
The sharper version of these questions arrives with agentic commerce. As AI agents begin to research, compare, and transact for people, settled principles around purpose, permission, and transparency have to be mapped onto interactions no human directly performs. What exactly did the customer authorize? Which permissions should travel with an agent? Who initiated a given action, and what record establishes accountability afterward? Rokt’s stance is that the interface changes while the fundamentals hold, a reading consistent with Buchanan’s argument in Fast Company that the agent economy is already an investable reality rather than a distant forecast. The projections are not modest: an eMarketer estimate cited in Rokt’s analysis of real-time relevance puts AI platforms at $20.6 billion of US retail e-commerce sales in 2026, climbing to $144 billion by 2029.
The contract as an operating model
For legal and commercial teams, the structural choice Rokt makes is the heart of the pitch. It casts itself as a trusted intermediary rather than a data owner. The e-commerce business keeps control of its first-party data, its customer experience, and its customer relationship, and a client’s data is used only for that client’s purpose and never pooled across clients. Its customer data platform, Rokt mParticle, is the layer meant to keep that data governed and portable, and the company points to frameworks including GDPR and CPRA, along with certifications such as SOC 2 and ISO 27001, as the scaffolding around the promise. On economics, a value-sharing model built to return the substantial majority of the value created through the Rokt Network to partners is intended to keep commercial incentives aimed in the same direction as the data terms. By its own published figures, Rokt will handle more than 13 billion transactions in 2026, enough volume to make governance a standing question rather than a one-time approval.
Transparency has to show up in practice
Contracts describe a relationship; behavior reveals it. Rokt leans on client testimony to argue that its conduct matches its paperwork.
This concept is highlighted in Rokt’s experience with Backcountry, wherein John St. Juliana, SVP of Marketing, has stated of the partnership, “We can say no to offers that feel off brand. Even with that level of control, we still see strong RPTs.” Under such a transparent agreement, the merchant keeps full control over which partner offers surface to shoppers, which is a clean, concrete illustration of transparency and brand safety rather than a vague trust claim.
What the market signals say
For procurement and commercial leaders, outside validation is part of the diligence. Rokt’s revenue climbed above $800 million in 2025, according to the deal-tracking service Dealroom. The company earned a first appearance in the 2026 Gartner Market Guide for Retail and Commerce Media Networks and a shortlist spot for the AdExchanger 2026 AI Innovator award, while enterprise adopters keep signing on, among them Walgreens, whose advertising arm expanded its work with Rokt in a move covered by Retail Customer Experience. None of that settles a governance question by itself, but it is the sort of market signal that justifies a longer look.
Strip away the audience-specific vocabulary and the message to privacy, legal, and commercial teams reduces to a single proposition: clarity scales and ambiguity does not. A partnership that pins down purpose, ownership, and accountability at the start can absorb new use cases, new data, and even non-human buyers without renegotiating its foundations each time. For the people whose job is to keep those foundations intact, that is the claim worth putting to the test.
