First-Party vs Third-Party Intent Data: What Each One Can Prove

The distinction between first-party and third-party intent data is usually explained as a question of where the data came from. That is correct and not very useful, because every vendor describes their own source favourably and a buyer cannot verify any of it from a deck.

The useful version of the question is different: what can this record prove, and what is it only suggesting? That one you can answer by looking at a single lead.

Three sources, not two

The market has settled on a three-way split, and the middle one gets left out of most explanations.

First-party is behaviour recorded by whoever owns the page, tied to a person who identified themselves there. Your own website analytics are first-party to you. Our comparison pages are first-party to us.

Second-party is someone else's first-party data, shared with you deliberately. This is what G2 Buyer Intent is: G2 owns the review platform, records who views your profile and comparison pages, and sells you that signal. It is high quality precisely because the surface is owned — it just is not owned by you.

Third-party is aggregated across a network of sites you have no relationship with — a co-op of publishers carrying a shared tag, or the advertising bidstream — and resolved to a company rather than a person.

Our data is first-party to us and behaves like second-party data for a vendor buying it. That is the honest description, and it matters because it sets what the record can carry.

What each one can actually prove

Take one buyer evaluating ERP systems and follow what each model can say about them.

A third-party product can say: an organisation matching this domain showed elevated consumption of ERP-related topics over the last three weeks relative to its own twelve-week baseline. That is a genuine signal and it covers accounts that have never touched your site or ours. What it cannot tell you is who, or whether the activity is one person doing research, three people on a committee, or a graduate writing a dissertation.

A second- or first-party owned surface can say: this named person, with this role at this company, opened a comparison of NetSuite against Sage Intacct at this timestamp, then read an alternatives page, then viewed pricing. The coverage is narrower by definition — only people who came to that surface appear — but every element is an event, not an estimate.

Neither is better in the abstract. They answer different questions, and most mature programmes run both: something broad to find accounts worth pursuing, something owned and person-level for the ones already in motion.

Why "in-market" needs a definition, not a score

Here is where the two models diverge in a way that affects what your sales team does on Monday.

In most intent products, "in-market" is a score — a probability a model assigned to a company, derived from signals weighted by a method the vendor considers proprietary. It is often directionally right. But it cannot be audited, because there is no underlying event to point at, and a probability that cannot be traced to an action is a judgement you are being asked to take on trust.

Our definition is deliberately narrow and deliberately boring. In-market is earned by exactly three recorded actions: opening a comparison, reading an alternatives page, or viewing pricing. Anything else — reading a category page, downloading a report, opening a newsletter — marks someone as researching, which is a different and less urgent thing.

That narrowness costs us. It means we report fewer in-market buyers than a model-based product would from the same underlying activity, and in a competitive pitch a smaller number looks worse. We think a stage you can trace to a logged event with a date is worth more than a larger number you cannot interrogate.

The test to apply to any vendor, us included: ask what specific action moved this person into this stage, and when. If the answer is a method rather than an event, you are buying a model's opinion. That can be a reasonable purchase — just price it as one.

What changes in the lead record

The abstract distinction becomes concrete the moment you look at what gets handed to a rep.

From an account-level product, the deliverable is a company name, a topic, and a score. The rep's next job is to work out who at that company is involved, which is the expensive part and the reason so many intent programmes disappoint — the data arrived, and the work did not get smaller.

From an owned surface, the deliverable can carry the person: role, work email, LinkedIn, phone; the company, its size band, industry and region; the stage and what earned it; the vendors that person put side by side, by name, with the timestamp; the full engagement log; and the consent record — which property they opted in on, the ISO timestamp, the IP, and the exact wording shown.

That last element is the one buyers under-weight at purchase and over-value afterwards. A named lead with no consent evidence is a compliance question waiting to be asked by someone in legal.

The consideration set is the part that changes the conversation

Of everything an owned surface can record, the single most useful field is the one almost nobody delivers: who else they were looking at.

Knowing a buyer is evaluating your category tells a rep to call. Knowing they put you beside a named competitor last Tuesday tells the rep what to say. It changes the first call from discovery to positioning, and it is only possible when the comparison happened on a page the data provider owns — which is why third-party products structurally cannot offer it, no matter how good their coverage.

How to tell which you are being sold

Four questions, none of which require technical knowledge to ask or to evaluate.

Who owned the page where this was recorded? If the answer involves a co-op, a network, a partner ecosystem or the bidstream, it is third-party. That is not disqualifying — just know what you bought.

Is the unit of delivery a person or a company? If it is a company, budget for the work of finding the people.

What event moved this record into its current stage, and when? An event with a date means the stage is evidence. A method means it is an inference.

What consent evidence travels with each record? "We are GDPR compliant" is a posture. The property, timestamp and opt-in wording are artefacts.

A vendor who owns their surface finds all four easy. One who does not will answer a different question, and the substitution is usually the most informative thing in the meeting.