Ninety days in, I had data I wasn't expecting: 6sense flagged 71% more accounts as "in-market" than Bombora did. That sounds like a clear win until you look at how many of those signals led anywhere useful.
This is what happened when I ran both platforms simultaneously against the same 300 ICP accounts — same list, same 90-day window, same AEs following up on signals. No vendor briefings influenced this. I paid for both seats.
Why Running Both Was the Only Honest Test
Every vendor comparison I'd read was either written by someone who'd used one platform or by someone selling a third option. The only way to get real numbers was to overlap the evaluation.
I work in sales ops at a 60-person SaaS company targeting mid-market US financial services. Our ICP is well-defined: 100–1,000 employees, Series B+, with a CFO or VP Finance as the buyer. The 300 accounts in this test were already on our radar — we just didn't know which ones were actively researching.
We had AEs contact every flagged account within 5 business days of the signal firing. They logged call outcomes: confirmed interest, not in-market, no response, or already a customer/competitor lock. That gave me a real false-positive rate — something nobody publishes.
Signal Volume: 6sense Fires More Alerts (By Design)
Over 90 days:
- Bombora: 127 unique accounts flagged across 14 topic clusters
- 6sense: 218 unique accounts flagged, pulling from their in-house first-party data + co-op panel
6sense surfaces more signals because it blends three sources: its own web tag network, Bombora's cooperative data (yes, they resell it), and proprietary AI scoring. Bombora pulls only from its publisher co-op — ~5,000 B2B media sites where decision-makers browse.
The coverage difference matters most in specific verticals. For financial services content (compliance, fintech, treasury tools), Bombora's publisher network is stronger because that audience tends to read trade publications that are Bombora co-op members. 6sense filled gaps for accounts that don't leave a clear web browsing trail.
False Positive Rate: Where the Real Difference Shows Up
This is the number nobody publishes. Here's what I measured:
| Platform | Accounts Flagged | Contacts Reached | Confirmed In-Market | False Positive Rate |
|---|---|---|---|---|
| Bombora | 127 | 89 | 64 | 28% |
| 6sense | 218 | 146 | 87 | 40% |
"False positive" here means the AE reached a decision-maker who said they were not actively evaluating similar solutions and showed no urgency. It's an imperfect measure — some prospects lie, some signals are early-stage — but across 235 connected calls, the pattern was consistent.
Bombora's higher signal confidence comes from its methodology: surge scores require sustained above-baseline research activity over multiple weeks before a topic fires. That conservatism cuts volume but improves precision.
6sense fires earlier in the buyer journey, which its platform frames as a feature — catching accounts before they go to RFP. For a short-cycle deal (under 60 days), those early signals often don't convert fast enough to show in a 90-day window. For enterprise deals, they might be exactly what you want.
Signal Decay: How Fast Do They Go Stale?
I started tracking lag by asking AEs to note when the prospect said they'd already made a decision or had already evaluated this category.
- Bombora: ~22% of contacted accounts mentioned the evaluation was already complete or a vendor was already selected
- 6sense: ~17% said the same
Bombora's co-op data has a known lag problem. The browsing behavior gets aggregated, normalized, and syndicated — a process that can take 10–18 days from the actual browse event to the signal appearing in your dashboard. That window is too slow for fast-moving deals. ZoomInfo's intent product (which also resells Bombora's data) has the same problem — the underlying signal is the same.
6sense is faster partly because its first-party signals (captured from its own site-tag network) don't go through the same syndication pipeline. That freshness advantage is real, but it's concentrated in specific verticals where 6sense has strong tag coverage. For niche B2B categories, the coverage gap can make the speed advantage irrelevant.
The Cost Math
Neither platform publishes list pricing. Based on what I negotiated and what I've seen peers pay:
| Platform | Typical Annual Cost | Cost Per Flagged Account | Cost Per Confirmed Intent |
|---|---|---|---|
| Bombora | $24,000–$48,000 | $190–$380 | $375–$750 |
| 6sense Core | $36,000–$80,000 | $165–$367 | $413–$920 |
| 6sense Advanced (AI features) | $80,000–$200,000+ | $367–$917 | $920+ |
These numbers assume you're getting Bombora standalone. If you're already paying for ZoomInfo, you may already have Bombora intent data bundled — check your contract before buying separately.
6sense's Core tier is close to parity on cost-per-confirmed-intent with Bombora. The value proposition of 6sense Advanced (predictive account scoring, orchestration, revenue AI) only makes sense if your team will actually use those features. In my experience, most teams activate 20–30% of the platform.
Integration Realities
Both connect natively to Salesforce and HubSpot. That's where the easy compatibility ends.
Bombora: Pushes surge scores as account-level field updates. To route these into a real workflow, you need a middle layer — we used Clay to pull the surge scores and combine them with firmographic filters before passing to Apollo for outreach. Without that enrichment step, you end up prioritizing accounts you have no contact data for.
6sense: Has built-in workflow automation (sequences, advertising, account prioritization) but it's its own ecosystem. If your sequencer is Outreach or Salesloft and your data is in Apollo, you'll spend real time on the handoff. The orchestration is powerful if you're committed to the platform; it's a nuisance if you're not.
One workflow that worked well on the Bombora side: surge signal fires → Clay pulls the account → People Data Labs enriches for current contacts → filtered list into Apollo sequence. End-to-end, about 40 minutes of setup per campaign, then fully automated. Total credits spent per account: about $0.40–$0.60.
Signal Quality by Topic Category
Not all intent topics are created equal, and this is something neither vendor advertises clearly.
In my test, Bombora performed noticeably better on category-level topics ("data compliance", "payment processing", "financial reporting") than on tool-specific topics ("Salesforce alternatives", "Netsuite pricing"). The reverse was true for 6sense — its first-party tag network captures more direct competitive research behavior because prospects browsing competitor websites or G2 categories get tagged even without visiting a Bombora co-op publisher.
For us, that meant 6sense was better at surfacing accounts actively comparing us to named competitors. Bombora was better at surfacing accounts entering a buying category before they'd narrowed to specific vendors. Which matters more depends on your sales motion.
What the Comparison Reviews Miss
The reviews I read before starting this test all treated intent data as a binary — either an account is in-market or it isn't. Reality is messier.
Intent signals tell you topic research activity, not purchase intent. An account surging on "financial compliance automation" might be doing competitive research for a vendor they already use, training a new hire, or shopping for a tool. The only way to tell is to call them — which means the quality of your follow-up sequence matters as much as the accuracy of the signal.
Both platforms over-claim on accuracy. Bombora's published surge methodology says signals require "3× baseline activity" to fire. In practice, baseline varies so much by account size and industry that this threshold means something different for a 50-person firm versus a 5,000-person one. 6sense layers AI scoring on top of raw signals, which smooths out some of this variance but adds its own opacity.
What I Actually Use
For our use case — mid-market US financial services, 60-day sales cycle — Bombora standalone via the Clay integration has been more cost-efficient. Higher signal confidence, lower false-positive rate, and we avoid paying for 6sense's orchestration features we don't need.
If I were running enterprise deals (6–12 month cycles) or needed advertising targeting layered on top of intent, 6sense Advanced would be worth the premium. The account scoring and AI-prioritized pipeline view is genuinely useful for large-team coordination.
ZoomInfo's bundled intent is a reasonable starting point if you're already a customer, but treat it as a signal supplement, not a standalone system — the data lag is real and the signal tuning is limited.
For teams that can't justify either price point, a manual OSINT workflow combining Apollo's technology filters with job-posting signals through People Data Labs's API gets you 60–70% of the value at 10% of the cost. It doesn't scale past ~200 accounts per week without automation, but it's a legitimate starting point.
The honest verdict: intent data is worth it once you have a playbook for following up on signals. If your AEs don't have time to call flagged accounts within 5 business days, neither platform will return its cost.
Top comments (0)