If you've ever watched a perfect prospect sign with a competitor because your team reached out two weeks too late, you already understand why intent data exists. The promise is simple: know which companies are actively researching solutions like yours right now, and get there first. But choosing between the two biggest names in the space — 6sense and Bombora — is genuinely confusing. They both claim to surface buying signals, yet they're built on fundamentally different philosophies. One is a full-stack revenue platform; the other is a pure-play data provider. Getting this decision wrong can mean six figures of wasted budget and a frustrated sales team. Let's cut through the noise.
What Is Intent Data and Why Does It Matter for B2B Sales?
Before comparing these two platforms head-to-head, it's worth grounding ourselves in what intent data actually does. At its core, intent data tracks behavioral signals — content consumption, topic searches, review site visits, competitive research — and uses them to infer where a company sits in its buying journey. When layered on top of your CRM data in tools like HubSpot or Pipedrive, this can radically change how you prioritize outreach.
There are two types of intent signals you'll encounter:
- First-party intent: Behavior on your own website — pages visited, content downloaded, pricing page views. You already own this data.
- Third-party intent: Behavior across the broader web — industry publications, review sites like G2, topic-based content networks. This is what 6sense and Bombora specialize in capturing.
The difference matters enormously in practice. Third-party intent lets you reach buyers before they ever land on your website — often before they've even heard of you. For outbound-heavy teams using tools like Apollo, Saleshandy, or Lemlist, that upstream signal can be the difference between a warm conversation and a cold ignore.
6sense: The Full Revenue Intelligence Platform
6sense isn't just an intent data provider — it's better described as a predictive revenue platform that happens to use intent data as one of its core inputs. The platform combines third-party intent signals, first-party behavioral data, firmographic filters, and AI-driven predictive modeling to score accounts by buying stage. It doesn't just tell you "Company X is researching CRM software" — it tells you "Company X is in the Decision stage with 74% confidence."
Key features include:
- AI-powered account scoring: Predictive models that place accounts in stages (Awareness, Consideration, Decision, Purchase)
- Keyword and topic tracking: Monitor thousands of intent topics across a proprietary data network
- Buyer identification: Attempts to de-anonymize website visitors and match them to known contacts
- Native integrations: Deep connections with Salesforce, HubSpot, Marketo, and ad platforms
- Orchestration capabilities: Trigger automated outreach sequences based on account signals
Where 6sense really shines is in enterprise ABM programs where marketing and sales need a shared view of pipeline. A VP of Sales running a 20-rep team can use 6sense to ensure everyone is working accounts that are actually in-market, not just accounts that look good on paper. The platform's segment builder is genuinely powerful — you can layer intent signals with technographic data (what tools a company uses), hiring signals, and firmographics to build hyper-targeted account lists.
The honest downside? 6sense is expensive and complex. Pricing is not publicly listed, but expect to start around $40,000–$60,000 annually for mid-market plans, with enterprise contracts going well into six figures. There's also a significant onboarding investment — this isn't a tool you plug in on Monday and get value from by Friday.
Bombora: The Data-First Intent Cooperative
Bombora takes a fundamentally different approach. Rather than building a full platform, Bombora is a data cooperative — a network of over 5,000 B2B media sites and publishers that share anonymized behavioral data. When someone at a target company reads multiple articles about "cloud security" or "sales automation" across these partner sites, Bombora captures that signal and reports it as a "surge" in topic interest.
What makes Bombora distinct is its cooperative model. Because the data comes from premium B2B publishers (think industry-specific trade sites, professional communities, and business media), the signal quality tends to be higher-context than generic web scraping. You're not catching someone who Googled something once — you're identifying companies where multiple employees are consuming topic-relevant content at an elevated rate compared to their historical baseline.
Key features include:
- Company Surge® data: The flagship product — company-level intent scores for 10,000+ topics
- Individual-level intent (B2B Identity Graph): More recent addition enabling person-level signals
- Native integrations: Works directly inside ZoomInfo, LinkedIn Sales Navigator, Salesforce, Marketo, and many others
- API access: For teams that want to build custom workflows or pipe data into proprietary systems
- No platform lock-in: Data can be consumed within tools you already use
Bombora is especially popular as an enrichment layer rather than a standalone platform. Many teams using ZoomInfo for contact data, Lusha for prospecting, or Snov.io for outreach are already consuming Bombora data without realizing it — Bombora powers the intent layer inside several major sales intelligence tools. Pricing is more accessible than 6sense, with plans reportedly starting around $15,000–$25,000 annually depending on topic volume and seat count, though enterprise deals are custom-quoted.
Head-to-Head Comparison
| Feature | 6sense | Bombora |
|---|---|---|
| Primary use case | Full ABM & revenue intelligence platform | Intent data provider / enrichment layer |
| Intent data source | Proprietary network + first-party signals | 5,000+ B2B publisher cooperative |
| Predictive AI | Yes — buying stage prediction | No (surge scoring only) |
| Buyer identification | Yes — anonymous visitor de-anonymization | Limited (improving with Identity Graph) |
| Pricing (est.) | $40,000–$100,000+/year | $15,000–$40,000+/year |
| Implementation complexity | High — significant onboarding required | Low — integrates into existing tools |