Glossary

What is second-party data?

Second-party data is another company's own first-hand data that you get directly from them, through a partnership or licence.

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Definition

Second-party data is first-party data owned by another organisation and shared with you directly under an agreement, without an aggregator in between. You know exactly who collected it, and the terms of use are negotiated between the two parties.

What the term means

Digiday's explainer puts it simply: second-party data is essentially first-party data owned by another company. The defining feature is the direct relationship between the holder and the recipient. One named organisation agrees to share records it collected itself, and the other knows exactly where they came from. There is no pool of unknown suppliers behind the file.

Common pairings

Common pairings include a publisher and an advertiser, an airline and a hotel group, a retailer and a brand it stocks, or a software platform and a consultancy that serves its users. Each pair has overlapping customers or complementary knowledge, which is why the exchange is worth negotiating rather than buying something generic off the shelf.

How these arrangements are set up

  1. 1

    Find the overlap

    Each side explains what it holds and what question the other wants answered. Many proposals stop here because the overlap is too small to matter.

  2. 2

    Agree scope and purpose

    The contract names the fields, the period covered, the permitted uses, whether the recipient may combine it with other sources and when it must be deleted.

  3. 3

    Choose the mechanism

    Options run from a file transfer of de-identified records, to an API, to a clean room where the recipient runs approved queries and never receives raw rows.

  4. 4

    Settle the money

    Payment can be a licence fee, a revenue share or a swap in which each side gets access to the other's records.

A worked example in a brokered deal

The following case is invented for illustration. A regional grocery chain with a loyalty scheme knows which products appear together in shoppers' baskets across its stores. A snack manufacturer wants to understand which of its lines are bought alongside fresh produce, so it can plan promotions with retailers. Neither firm has met the other's data team.

A broker brings them together and helps shape the terms. Shopper identities never cross over. The chain produces basket-level statistics by store region and week, with loyalty numbers removed and small cells suppressed.

The snack maker may use the output for its own planning, may not resell it, and must delete it at the end of the term. The broker checks that the loyalty programme's terms allow this kind of sharing before anyone signs.

The illustrative grocery deal: the same records are first-party to the chain and second-party to the snack maker.

To the grocery chain, these are its own first-party records. To the snack maker, they are second-party data, because they came directly from the collector under a contract both sides can read. If the same statistics had been bought from a syndicated retail panel that pools many chains, the snack maker would be holding third-party data instead.

Second-party data compared

TermSource of the recordsRelationship with the sourceStrengthWeakness
Second-party dataOne identified partner's own collectionDirect contractKnown provenance, tailored termsLimited reach; each deal is negotiated
First-party dataYour own operationsYou are the sourceFull context and controlOnly covers your own customers
Third-party dataMany suppliers combined by an outside firmYou deal with the reseller, not the collectorsBroad coverage, quick to buyProvenance and consent are hard to check
Data enrichmentOutside attributes matched to your recordsUsually via a providerFills gaps in what you holdMatch quality varies

What a broker should check

  • That the sharing partner really collected the records and isn't passing on something it bought.
  • What its customers were told, and whether that covers disclosure to this particular recipient for this purpose.
  • Whether the recipient wants to combine the records with others; joining files can re-identify people who were safe on their own.
  • Who carries liability if the recipient misuses the data, and how deletion will be confirmed.
  • Whether a competitor of the sharing partner could end up benefiting; many deals die on that question alone.

Common misunderstandings

People sometimes describe any purchased data as second-party simply because the seller is named. The test is whether the seller gathered it in its own business.

A company that resells files it bought elsewhere is acting as a third-party source even if the deal is one-to-one. Another misunderstanding is that a direct deal removes privacy obligations. It doesn't; it just makes them easier to trace.

Sources

2 sources · checked Nov 7, 2026

  1. Digiday: WTF is second-party data?The description of second-party data as another company's first-party data, shared through a direct relationship · Checked
  2. Google Ads policy: Data use in personalized adsHow first-party collection differs from data obtained from other sources · Checked

Second-party data FAQ

What is an example of second-party data?

An airline sharing de-identified booking patterns with a hotel group under a partnership agreement, so the hotel group can plan for travel peaks on routes they both serve.

Is second-party data better than third-party data?

It is usually more trustworthy, because you know who collected it and how. It is also narrower and slower to obtain, since each partnership is negotiated on its own.

Where can you get second-party data?

From partners with overlapping customers, through private marketplaces some publishers run, or with the help of a broker who finds a holder and negotiates the licence.

Do second-party data deals need a contract?

Yes. A written agreement should set out the fields, permitted uses, security, deletion and liability. Without one, neither side can show the sharing was controlled.

Related

  • First-party data

    First-party data is what a business gathers itself, from its own customers, systems and operations, rather than buying it in.

  • Third-party data

    Third-party data is information you obtain from an outside company that compiled it from other sources, not from your own customers.

  • Data clean room

    A data clean room lets companies run agreed analyses across their combined data while each keeps its raw records out of the other's hands.

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