Bombora pricing starts around $25K/yr.
An honest review of Bombora intent data: reported pricing, how Company Surge works, what it gets right, and where account-level surge scores fall short.
Bombora pricing isn't published anywhere, but third-party procurement data and review sites consistently report Company Surge starting around $25,000-$30,000/year, rising past $100,000/year for more topics and activation. Bombora is account-level intent data: it tells you a company is researching a topic, not which person inside it is.
That second sentence is the whole review.
I run a contact-level advertising platform, so I look at intent data through one question: can you actually reach the buyer with it? Read this knowing that bias. I'll be honest about what Bombora does well, because it does a few things genuinely well.
This covers what Bombora costs (the real reported numbers), how Company Surge works, what it gets right, and the gap that nobody selling intent data wants to talk about.
What Bombora costs.
Start here, because it's the question everyone types into Google and Bombora answers nowhere.
Bombora publishes no pricing. No price page. No self-serve trial. Every number below is reported by third parties — procurement databases, review sites, and verified buyer disclosures — so treat it as a range, not a quote.
Here's what those sources line up on:
→ Basic Company Surge - around $25,000-$30,000/year for a starter plan with a limited topic set.
→ Mid-market - roughly $35,000-$60,000/year once you add topics, faster refresh, and audience features. Vendr lists a median deal around $25,000 with a typical range up to the low $80,000s, and reported small-to-mid-market deals land in the $25,000-$60,000 band.
→ Full audience solutions - $100,000/year and up for real-time refresh and activation across channels.
The wide spread comes from how Bombora sells. You're not buying a seat. You're buying topics — and reported pricing is tier-gated by topic volume and entirely quote-based, with no public per-topic rate card. Most teams need 20-50 topics to cover their ICP, which is why two companies can quote each other wildly different numbers.
One more thing the pricing pages skip. Bombora is a signal layer, not a tool you act inside. Multiple reviews note you still need contact data, a CRM, and an activation platform on top — so the real cost of getting value from Bombora is higher than the line item.
That last point is the whole game. Hold onto it.
What Bombora actually is.
Bombora is the company most people mean when they say "B2B intent data." It more or less defined the category.
The product is Company Surge. It's a trademark — Bombora owns the term — which tells you how early they were.
Here's how it works in plain language.
Bombora runs a Data Co-op: a network of 5,000+ B2B websites that agreed to share anonymized reader behavior. When people across that network read about a topic — "cloud security," "data warehouse," "marketing attribution" — Bombora sees the activity, maps it back to a company using IP and identity data, and measures the spike against that company's own baseline.
More research than usual on a topic = a higher Surge score.
That's the signal. "Acme Corp is researching marketing attribution way more than they normally do this week." The idea is that a surge means an account is in-market, so you should reach out before your competitor does.
Two things make this model better than most of the category:
It's consent-based. Bombora doesn't scrape sites or buy bidstream data — the Co-op publishers opt in. That makes it cleaner on GDPR and CCPA than a lot of alternatives.
And it's mature. The taxonomy is huge, the company-resolution is solid, and it plugs into Salesforce, HubSpot, 6sense, and Demandbase without much fuss.
So far, so good. Now the honest part.
What Bombora gets right.
I won't pretend it's bad. It isn't.
The data model is defensible. Consent-based, no scraping, no bidstream. If your legal team asks where the data came from, Bombora has a clean answer. Most intent vendors don't.
The scoring is smart. Surge compares a company's current research against its own history, not against everyone else. That baseline approach catches a mid-size company suddenly caring about your category, which a flat "topic volume" number would miss.
The coverage is wide. 5,000+ Co-op sites and thousands of topics mean you'll find signal for almost any B2B category. Niche works.
It integrates. Bombora feeds the platforms you probably already run. If you've bought 6sense or Demandbase, Bombora-style signal is likely already in there.
For an enterprise ABM team that wants to prioritize accounts — "which 500 of our 5,000 target accounts should sales call first?" — Bombora answers that well. That's the job it was built for, and it does it.
But "prioritize accounts" and "reach buyers" are not the same job. And that's where it breaks.
Where Bombora falls short.
The limitation isn't accuracy. It's resolution.
A Surge score tells you a company is interested. It can't tell you a person is.
The MarketBetter review puts it cleanly: "You learn that 'Acme Corp is surging on cloud security' — but you don't know if it's the CTO, the VP of Engineering, or an intern doing research."
Sit with that. You paid $30K+ for a signal that says "someone, somewhere inside this 800-person company, read something relevant this week."
Then what?
You hand it to a rep who has to guess which of the 12 plausible buyers to call. Or you push it into an ad platform and target "the account," which means spraying budget across everyone who shares that company's IP range — including the intern. You're back to account-level guessing, which is the exact problem intent data was supposed to solve.
A few more gaps worth naming:
Weekly refresh. Surge updates weekly on standard plans. A buying signal from last Tuesday is cold by the time your rep sees it.
No activation. Bombora is intelligence, not action. It won't run an ad, send an email, or reach the buyer. You bolt on other tools for that — more cost, more stack.
The signal is soft. "Researched more than usual" is a probability, not an intent. Plenty of surges are an analyst building a market map, not a buyer building a shortlist.
The precision is mid. Independent testing puts Bombora's topic-match accuracy in the low-80% range, behind some newer entrants. Not a dealbreaker on its own — but combined with weekly refresh and account-level resolution, you're acting on a week-old, company-wide, 80%-confident guess.
None of this makes Bombora useless. It makes Bombora the first 10% of the job. You still have to find the people and reach them — and that's the part Bombora was never built to do.
Here's the math that exposes it. Say Acme surges on your topic. Acme has 600 employees and maybe 8 people who'd ever touch this decision. Bombora narrows your universe from "everyone" to "Acme." It does not narrow it from "Acme" to those 8. So your rep dials a switchboard, or your ads chase 600 people to reach 8, and the 90% reduction in wasted spend that contact-level targeting gives you never happens. The signal was real. The reach was a coin flip.
This is the data-without-activation gap. The signal arrives. The action doesn't.
How much does Bombora cost.
Covered above, but the short version for anyone skimming:
Reported pricing starts around $25,000-$30,000/year for basic Company Surge and climbs past $100,000/year with more topics and activation. Annual contracts. Quote-based. No public price, no free trial.
And remember the hidden multiplier. Bombora is a signal you still have to act on, so budget for the contact data, CRM, and activation tools that turn a Surge score into a conversation. The all-in number is meaningfully higher than the contract.
How does Bombora get its data.
Through the Data Co-op — a consent-based network of 5,000+ B2B websites that share anonymized reader behavior.
When people from a company research a topic across those sites, Bombora maps the activity back to the company and measures it against that company's normal baseline. A spike becomes a Surge score.
No scraping. No bidstream. The publishers opt in, which is what makes the data cleaner than most alternatives on privacy. The trade-off: it's anonymized and aggregated to the company, which is exactly why you get account-level signal and not the person.
What is Company Surge.
Company Surge is Bombora's flagship product and trademark. It scores how intensely a company is researching a topic compared to that company's own historical average.
High score = more interest than usual = a possible in-market account.
The key word is company. Surge measures accounts, not contacts. It's the right tool for ranking which accounts to prioritize. It's the wrong tool if your actual problem is reaching the human who's going to buy.
Account-level intent vs contact-level targeting.
Here's the distinction that decides whether intent data works for you.
Account-level intent — Bombora, and most of the category — tells you a company is showing interest. It's a prioritization layer. Good for sorting a target list. Useless for reaching a person, because it doesn't know the person.
Contact-level is the other half. Instead of "Acme is surging," you work from a list of named people — the actual buying committee — and you reach them directly. You know who they are before you spend a dollar, and you can track who engaged by name.
| Bombora (account-level intent) | Contact-level targeting | |
|---|---|---|
| Output | "Acme is researching X" | "Sarah Chen at Acme, by name" |
| Resolution | Company | Person |
| Refresh | Weekly (standard plans) | Continuous |
| Can it reach the buyer? | No — signal only | Yes — ads to 5 platforms |
| Tracks who engaged? | No | Yes, individually |
| Reported entry cost | ~$25K-$30K/yr | $1,000/mo |
The table makes the split obvious. One ranks accounts. The other reaches people. Neither replaces the other — but only one of them gets your content in front of a buyer.
I wrote the full breakdown of this split in contact-level intent data, and the wider category map in B2B intent data. Both worth reading if you're evaluating providers.
The honest framing: these aren't really competitors. Account-level intent answers "who's in-market?" Contact-level answers "how do I reach them?" Bombora does the first. It doesn't do the second.
If you're an enterprise ABM team that already owns 6sense or Demandbase, Bombora signal is probably baked in, and adding it standalone may be redundant. Check before you buy. Other intent data providers bundle similar signal with workflow, so you may already be paying for it.
If your real problem is the second half — getting your content in front of named buyers and knowing who engaged — that's a different category. ContactLevel takes your contact list, enriches it to 70-99% match rates, and syncs it to LinkedIn, Meta, Google, Reddit, and X so you reach specific people, not surging IP ranges. Account-level ABM averages 180% ROI; contact-level runs 320% in our data, because you stop guessing which human inside the account to talk to.
Different job. Sometimes you want both — the surge to prioritize, the contact-level reach to act. Just don't buy account-level intent expecting it to reach anyone.
Should you buy Bombora.
Quick gut check.
Buy it if: you're an enterprise ABM team, you have reps who need to prioritize a large account list, and you already own the activation stack to do something with a surge. It does that job well, and the consent-based data is clean.
Skip it if: you're mid-market, you don't have a dedicated ops team, or your actual problem is reaching buyers — not ranking accounts. The $30K+ entry and the "first 10% of the job" reality won't pay back.
Check first if: you run 6sense or Demandbase. You may already have Bombora signal inside them.
Intent data is real. Bombora is a credible version of it. Just be clear-eyed about what you're buying: a signal that an account is interested — and a separate, larger problem of reaching the person, which Bombora hands back to you.
Go deeper.
Bombora is one input into a larger system. What you do after the signal is what moves pipeline.
→ B2B intent data — the full category: signal types, providers, and how to actually use intent without wasting it.
→ Contact-level intent data — why account-level surge underdelivers and how person-level identity fixes it.
→ Intent data providers — an honest comparison of the vendors in this space.
→ Contact-level marketing — the strategy that turns named contacts into pipeline, with paid ads as the distribution layer.