A B2B rep recently posted on Reddit asking if anyone actually gets ROI from intent data, or if the whole category is just overpriced lists. He'd reach out to flagged accounts and find they either had no idea what he was talking about or were 90% through a deal with a competitor. "Chasing ghosts," he called it.
I've heard this complaint in every boardroom I've walked into this year. And here's the thing: he's not wrong, but he's also not asking the right question. The problem isn't intent data as a category. It's that 87% of organizations report their marketing investments produce unreliable or inflated intent signals, according to DemandScience's December 2025 survey. Only 26% of those signals convert into qualified opportunities.
So why does anyone still buy this stuff? Because when it works, it really works. Intent-prioritized accounts convert at 2.5x the rate of non-prioritized accounts, with 21.3% versus 8.4% conversion rates for closed opportunities. The gap between "intent data is snake oil" and "intent data transformed our pipeline" usually comes down to one thing: which provider you picked and whether it matches how your team actually sells.
The 85% Problem Nobody Wants to Discuss
Here's the uncomfortable math. Buyers are 69% of the way through their journey before they ever speak to a salesperson, and 85% have established their requirements before talking to a rep. If you're waiting for an inbound lead, you're already too late. Intent data is supposed to fix this timing problem.
But most intent data was built for broad B2B audiences. If you're selling infrastructure software, security tools, or developer platforms, signals from generic publisher networks may miss the places where your buyers actually spend time. Technical buyers don't browse the same B2B content sites as procurement teams. They're on GitHub, Hacker News, Discord, and niche Slack communities.
This is why the "best" intent data provider is a meaningless question without context. The right answer depends on three things: where your buyers actually research, whether you need account-level or person-level signals, and how mature your activation workflow is.
The Provider Landscape: What Actually Differentiates Them
After working through current G2 reviews, Reddit threads, and peer discussions, here's how the 13 leading providers actually stack up.
Bombora remains the gold standard for third-party intent feeds. Their Data Co-op of 5,000+ B2B publisher websites tracks content consumption and delivers Company Surge scores when accounts research topics more than their 12-week baseline. The catch: it's company-level only, no individual contacts, and pricing starts around $30,000/year for a data feed that includes zero execution tools. If you already have a mature GTM stack and just need a clean signal layer, Bombora is hard to beat. If you need to act on that data in the same platform, look elsewhere.
6sense takes a different approach. Rather than selling you a signal, they sell you a platform that ingests signals (including Bombora's), predicts on them, and activates them. Their 6AI engine turns billions of daily signals into account-level buying-stage predictions. 6sense tracks intent data in over 40 languages with 10x the intent coverage of other providers, according to their claims. The reported median pricing sits around $55,000-$63,000/year, ranging from roughly $12,000 to $176,000+. Enterprise ABM teams with dedicated RevOps staff love it. Smaller teams find the complexity overwhelming.
Demandbase differentiates by pairing direct bidstream intent with the only B2B-native DSP, ABM orchestration, and Person-Based Intent on one dataset. If you want a closed loop between intent and activation without stitching together five different tools, this is the play. Custom pricing, but expect enterprise-level investment.
Cognism wins for EMEA-heavy outbound that needs verified mobile numbers. Their consent-based data with phone-verified Diamond mobile numbers and deep European coverage makes them the default choice for teams selling into regulated markets. They partner with Bombora for intent signals, so you're getting that Co-op data with compliant contact enrichment layered on top.
ZoomInfo bundles intent with a massive US contact database (320M+ verified contacts). For outbound teams that want intent signals alongside direct dials and emails in one platform, it's the path of least resistance. The intent data itself comes from multiple sources, including their own proprietary signals.
The Mid-Market and SMB Options
Not every team needs a six-figure intent stack. Several providers have carved out positions for smaller budgets.
Lead Onion aggregates 24 third-party intent sources under one affordable subscription, with person-level signals via Delivr.ai. It's the "good enough" option for SMBs that want many intent sources without managing multiple vendor relationships.
HubSpot Breeze Intelligence makes sense if you're already a HubSpot shop. Enrichment and buyer intent native to HubSpot from the Clearbit dataset, priced on a credit basis ($10 per 1,000 credits on top of your HubSpot plan). No new tool to learn, no integration headaches.
Lusha offers affordable, credit-based contact data with a Chrome extension and Bombora intent. Budget-conscious SMB and mid-market reps who want contact data with intent filters can get started on a free tier and scale up.
The Specialist Plays
Some providers focus on specific use cases rather than trying to be everything.
UserGems prioritizes contact-level signals like job changes and champion moves. If your best leads come from former customers who moved to new companies, this is the tool that tracks them.
G2 Buyer Intent and TrustRadius for Vendors offer review-based high-intent signals. When someone is actively comparing you to competitors on a review site, that's about as close to "ready to buy" as third-party intent gets.
DemandScience runs a managed-service model that delivers qualified pipeline as the contracted output. If you want intent-driven campaigns run for you rather than data you have to activate yourself, this is the approach.
Onfire AI targets technical buyers specifically, monitoring OSS activity, developer communities, GitHub, Reddit, and technical events that generic platforms miss entirely. If you're selling to developers, DevOps teams, or security engineers, the places where your buyers research are fundamentally different from where a procurement team researches.
The Activation Gap That Kills ROI
Here's what most intent data evaluations miss: the gap between "this account is in-market" and "this account received a timely, relevant touch" remains wide. Signals sit in dashboards. Lists export to spreadsheets. By the time a campaign launches against an intent cohort, the buying window has moved.
70% of accounts active in a target segment this quarter will not be active next quarter. Timing is the defining constraint of intent data value. A buyer intent data platform should do more than surface signals. It should activate them inside the tools demand gen teams already use: CRM task queues, marketing automation triggers, ad platform audience syncs, and sales engagement sequences.
The providers that close this activation gap treat intent as a workflow input, not a report. The ones that don't leave you with expensive dashboards and frustrated sales teams.
Making the Call
If I had to distill this down to a decision framework:
You need broad third-party coverage: Bombora, 6sense, or Demandbase. These are the platforms with the deepest signal networks.
You need first-party only (your own website traffic): Leadfeeder or Lead Forensics. Simpler, cheaper, limited to accounts that already found you.
You need review-based high-intent: G2 or TrustRadius. The closest thing to "hand-raiser" signals in third-party data.
You need intent plus contact data in one workflow: Cognism, ZoomInfo, or Lusha. Hybrid approaches that let you act immediately.
You're selling to technical buyers: Onfire AI. Generic publisher networks miss where developers actually research.
The intent data market hit $3.92 billion in 2025 and is projected to reach $10.31 billion by 2031. That growth isn't happening because the category is broken. It's happening because the teams that figure out how to activate signals faster than their competitors are winning deals that used to be invisible.
The Reddit rep chasing ghosts? He probably had the wrong provider for his use case, or the right provider with no activation workflow. Intent data is like dating: you don't propose on the first ad impression. But if you know someone's already shopping for a ring, you'd be foolish not to show up at the jewelry store.
