A CMO asked me last month whether she should renew her $60K annual third-party intent contract. The signal had stopped moving anything in her pipeline, her SDRs were ignoring the account list, and her new CFO wanted to know what exactly the $60K was buying. She is not the only one asking. In 2026, the third-party intent category is quietly losing budget to first-party stacks for the first time in its history.
I am George, founder of Leadpipe. We built a proprietary intent network, Orbit, from scratch rather than reselling a licensed feed, so I have a stake in this conversation. This post is the honest version of where the market is heading and why.
The answer up front
First-party intent is not going to fully replace third-party intent vendors. Some third-party vendors have a durable role in enterprise accounts with specific use cases. What is happening is more interesting than replacement: the center of gravity is moving from third-party to first-party, the pricing power is shifting with it, and the third-party vendors that survive are the ones that can act like first-party platforms on behalf of their customers.
The short version: third-party intent was bought as the primary signal in 2018-2023. In 2026 it is bought as a supplement, if at all. First-party intent, whether that means your own website visitor data or a proprietary pixel network you access like Orbit, is becoming the default.
The trend in one paragraph
Third-party intent data is collected by a small number of publisher co-ops, mainly Bombora, and resold through a long list of ABM platforms, intent providers, and data resellers. That model was the only economical way to get behavioral signals outside your own site for a long time. First-party alternatives, driven by owned pixel networks, deterministic identity graphs, and first-party consent frameworks, have closed the gap on signal quality and pulled ahead on actionability (person-level vs account-level), freshness (daily vs weekly), and overlap risk (proprietary vs shared with every competitor).
Three forces driving the trend
Force 1: Third-party intent is sold to your competitors too
The most uncomfortable fact about third-party intent is that you share the feed with everyone who buys from the same source. Bombora’s B2B Data Co-op powers intent products at a long list of vendors, some of whom sell into the same categories you do. When you get a surge on Acme Corp, your competitor across town gets the same surge on the same account, usually the same week.
The result is a race to the same inbox. The “alert” becomes a signal that five SDR teams are about to run the same play against the same account. The first team to call wins. The signal stops being an advantage and becomes a reaction time test.
First-party intent, by definition, is not shared. If you are reading behavior across your own pixel network or resolving visitors on your own site, the data is yours. Orbit’s proprietary network does not feed licensed data out to the rest of the market. Leadpipe’s website visitor data does not feed into a co-op. The signal is actually yours.
Force 2: Account-level signals are not actionable without person-level resolution
I wrote about this at length in our intent data only shows companies. The third-party intent architecture produces account-level signals because IP-to-company mapping resolves at the company layer. Your SDR gets a surging account and still has to guess which of the 2,400 employees is actually researching. Most guesses are wrong.
First-party intent, when built on a pixel network with proper identity resolution, can name the person. That is not a marginal improvement. It is a different product class. An account surge score tells your SDR to start prospecting a big company. A person-level intent record tells your SDR exactly who to email with exactly which subject line.
Buyers figured out the difference. RevOps leads have seen the spreadsheet math: account-level intent produces reply rates that look like cold outbound. Person-level intent produces reply rates that look like warm inbound.
Force 3: The cookie substrate under third-party intent is eroding
Third-party intent depends heavily on cross-site tracking infrastructure that is being deprecated piece by piece. Safari blocks third-party cookies. Firefox blocks them. Chrome’s privacy sandbox keeps tightening. Server-side measurement helps on some fronts, but the signal quality of a third-party co-op built on partial cookie access is not what it was when every browser cooperated.
First-party intent networks built on first-party pixel deployments do not share this decay curve. When a visitor hits a Leadpipe-instrumented site, the pixel runs on that site’s domain, with that site’s consent, and the identity resolution happens deterministically through our own identity graph. The addressable population does not shrink every time a browser ships a privacy update.
The related architectural question about what happens to advertising on the same substrate is in what replaces lookalike audiences.
First-party vs third-party, side by side
| Dimension | Third-party intent (Bombora-based) | First-party intent (Orbit, Leadpipe) |
|---|---|---|
| Collection source | Publisher co-op feed | Owned pixel network + own site |
| Resolution unit | Account (IP-to-company) | Person (deterministic identity) |
| Competitor overlap | High, shared feed | None, proprietary |
| Refresh cadence | Weekly batch, sometimes daily | 24-hour refresh, real-time webhooks |
| Cookie dependency | Medium to high | Low, first-party matched |
| Action fidelity | Which company is interested | Which person is interested, and in what |
| Typical cost | $25-55K/yr enterprise contract | Included in Leadpipe plans from $147/mo |
| Buyer consent posture | Implicit, publisher-side | Explicit, site-owner controlled |
| Procurement cycle | Enterprise, annual | Self-serve, monthly |
| Replaces SDR guesswork | No | Yes |
Rough signal-per-dollar comparison across the category (subjective but representative):
Third-party licensed feeds: █████ moderate signal, high cost
First-party owned networks: ██████████████ high signal, lower cost
First-party own-site data: ████████████████ highest signal on the people already on your siteWhen teams run third-party account-level intent and first-party person-level intent in parallel on the same ICP filter, the first-party feed almost always returns more named, in-market people that an SDR can actually contact, while the third-party feed returns more accounts to research.
Where third-party intent still earns its seat
I want to be direct about this. Third-party intent is not worthless. There are real use cases where it continues to produce value.
TAM and market sizing. If you need to understand which accounts in a category are showing aggregate interest, third-party co-op data gives you a view that a single-site or single-network first-party feed cannot.
Account prioritization for enterprise ABM. If you are running a 100-account named-list ABM program with dedicated AEs per account, an account-level surge score is a reasonable input to prioritize which accounts to engage this quarter. The AE does the person-level research as part of the account plan, so the account-level signal is still useful context.
Supplementing first-party data when website traffic is low. If your site has very little US B2B traffic, your own visitor identification volume will be small. Third-party intent can fill the gap on market awareness, though Orbit is a cleaner version of the same job for person-level use cases.
Enterprise procurement where the renewal is already paid. If your third-party intent renewal is locked in and the data is feeding into a working ABM motion, there is no reason to rip it out mid-cycle. The question to ask is whether the next renewal makes sense, not whether to cancel today.
Notice the pattern. Third-party intent is most defensible when it is feeding strategic functions (TAM, ABM planning, market awareness) rather than tactical outreach. Tactical outreach needs a person, a topic, and a timing signal. That is a first-party job.
What a first-party-first intent stack looks like
If you were starting a modern B2B GTM function in 2026 and had to decide your intent layer from scratch, the stack would look like this.
Layer 1: Visitor identification on your own site. 30-40%+ of US B2B visitors resolved to a named person with full contact data. This is the highest-quality intent signal you can have, because the person is literally on your site.
Layer 2: Proprietary person-level intent across a pixel network. Orbit, or an equivalent. Person-level resolution of in-market research happening across 5M websites, filtered to your ICP and topics, refreshed every 24 hours.
Layer 3: Third-party account-level intent as a supplement. Only if your ABM program needs account-level market awareness that the first-party layers do not provide. Many teams skip this layer entirely in 2026 and do not miss it.
Layer 4: First-party signals from your own product (if you have a freemium or trial motion). Product usage data, free-trial engagement, self-serve funnel signals. This is the most first-party intent signal possible and the most predictive of conversion.
The cost profile of this stack is different from the old one. Your first-party identification runs on a Leadpipe plan. Orbit is included. Product analytics runs on tooling you already have. If you add a third-party layer at all, it is a smaller, more targeted spend than the $60K enterprise contract the same team was buying in 2022.
What this means for 2026 and 2027
The third-party intent market will not collapse. It will shrink on the margin, consolidate around enterprise use cases, and lose mid-market share to first-party alternatives. Bombora itself will probably stay central to the licensed feed ecosystem, but the resellers layered on top of it will have a harder time justifying mid-market pricing when a cheaper first-party stack outperforms on person-level resolution.
For your team, three concrete moves this year.
Audit your current third-party intent contract. Not the surge scores. The actual pipeline generated by the signals it produces. If the intent data is not in the causal chain of sourced opportunities, the contract is not earning its price.
Install first-party visitor identification if you have not. This is the lowest-risk, highest-leverage move in the intent category right now. The traffic is already there. The question is whether you are resolving it.
Pilot proprietary person-level intent alongside any licensed feed you keep. Run both for a quarter. Compare meeting rates, pipeline, and close rates from signals produced by each layer. The first-party stack usually wins on the later funnel metrics, which is what matters.
The trend is a quiet one, but it compounds. A first-party stack built in 2026 gets better as your traffic and your identity graph grow. A licensed third-party feed depends on the health of a co-op you do not control. In a five-year horizon, the first-party assets compound and the third-party contracts stay the same size or shrink. That is not a close call. For additional context on how this fits the broader market shift, see is the B2B data aggregator era ending and proprietary vs licensed intent data.
Orbit is the proprietary alternative to licensed intent co-ops: 5M-site pixel network, 24-hour refresh, person-level output, no Bombora dependency. Compare Orbit to your current feed →
