Intent Data Providers Compared: Bombora vs 6sense vs G2 vs Free Signals

The B2B intent data market is worth $4.5 billion in 2026 and still growing at 15% a year. Four providers dominate the paid landscape: Bombora, 6sense, Demandbase, and G2. Each sells its data differently, sources it differently, and delivers wildly different ROI depending on company size and sales motion.

And then there are free signals — Reddit, X, LinkedIn, job boards, funding databases — which 5 years ago were a joke and in 2026 produce signal quality that rivals paid providers for SMB and mid-market sales teams.

This comparison is built for buyers, not vendors. No affiliate fluff. Honest pricing ranges, actual use-case fit, and a decision framework for when the free option is the right option.

---

TL;DR

• Bombora: topic-level intent from a publisher cooperative, $25-75K/yr — best for mid-market broad monitoring
• 6sense: AI-predicted buying stage, $50-150K/yr — best for enterprise ABM with big deal sizes
• G2: product-level intent, $5-20K/yr — best for SaaS with strong G2 presence
• Demandbase: orchestration + intent, $60K-150K — overlap with 6sense, slightly different data model
• Free signals: Reddit + X + LinkedIn + Crunchbase + job boards — best for SMB, startup, mid-market with $50K-$500K ACV
• The right answer is usually "free signals + narrow paid layer" — not "pick one"

---

How Intent Data Actually Works

All intent data answers one question: "Is this account likely to buy something in my category right now?" Providers answer it differently depending on their source.

The Three Data Source Types

Type	How It Works	Accuracy	Coverage
Cooperative-based (Bombora)	Publisher network tracks content consumption across ~5K B2B websites	Medium-high	Very broad
Platform-specific (G2, TrustRadius)	Tracks behavior on review sites	Very high	Narrow (only SaaS in their categories)
AI-aggregated (6sense, Demandbase)	Combines first-party + cooperative + review + proprietary signals with ML	High	Broad

And then there's the fourth:

Type	How It Works	Accuracy	Coverage
Public signals (Reddit, X, LinkedIn)	Monitor public posts, job boards, funding announcements	Very high (it's the truth)	Variable — some categories have tons, some have none

The trick in 2026 is that the public signal layer has become good enough — in quality, not volume — to replace mid-tier paid providers for most use cases.

---

Bombora: The Cooperative Standard

What It Does

Bombora tracks B2B content consumption across 5,000+ publisher websites. When users from a specific company consume topic-related content at unusual volume, that company "surges" on that topic. You get weekly lists of companies surging on topics you care about.

Pricing

$25K-75K/year depending on topic count and account volume.

Strengths

• Broadest topic coverage (thousands of topics)
• Clean data delivery (CSV or API)
• Works for most B2B categories including non-SaaS
• Strong brand trust — most RevOps teams have used it

Weaknesses

• Topic-level only — doesn't tell you which product they're considering
• 2-4 week lag from actual interest to surge detection
• No predictive layer — you still have to guess buying stage
• Volume-based pricing makes it expensive for smaller teams
• Noise is high — companies "surge" on topics they're only tangentially interested in

Best For

Mid-market+ companies with 10K+ target accounts and broad ICP. If you sell to marketers, developers, or IT — where topic resonance is high and categories are broad — Bombora earns its cost.

Bad Fit For

SMB with narrow ICP (<1000 target accounts). You're paying for volume you can't use.

---

6sense: The AI-Aggregated Layer

What It Does

6sense combines first-party website data, Bombora cooperative data, G2 data, and proprietary signals into an ML model that predicts "buying stage" for accounts. It tells you which accounts are in "awareness," "consideration," "decision," or "purchase."

Pricing

$50K-150K/year. Enterprise tiers go higher.

Strengths

• Predictive buying stage — the most useful signal in the category
• Integrates multiple data sources natively
• Strong CRM integration (Salesforce, HubSpot)
• Good reporting and attribution layer
• Account scoring that actually correlates to pipeline

Weaknesses

• Expensive — most companies under $50M ARR can't justify it
• 6-12 month ramp before you see ROI
• Complex implementation — requires dedicated ops resource
• Black-box scoring — you don't always know why an account scored high
• Long contracts (usually annual, sometimes multi-year)

Best For

Enterprise ABM motions with $200K+ ACV, dedicated ops team, and 6-month+ sales cycles where buying stage matters for rep prioritization.

Bad Fit For

Anything under $50M ARR without a dedicated ABM function. You're paying for power you can't operate.

---

G2: The Product-Specific Play

What It Does

G2 Buyer Intent shows you which companies are researching your category on G2 — comparing you to competitors, viewing your profile, viewing competitor profiles. It's the most product-specific intent data available.

Pricing

$5K-20K/year, bundled into G2 review platform subscription.

Strengths

• Product-level specificity (not just topics)
• Strong late-stage signal — comparison views are bottom-of-funnel
• Much cheaper than Bombora or 6sense
• Easy to action — a rep can reach out the same day
• Buyers on G2 are actively evaluating, not just browsing

Weaknesses

• Only useful if your category has a G2 presence
• Limited to SaaS categories G2 covers
• Smaller account volume than cooperative-based sources
• Depends on your G2 profile being well-maintained

Best For

SaaS companies with active G2 category presence. If your category has a G2 grid and your product is on it, G2 Buyer Intent is the highest-ROI intent data in the market at its price point.

Bad Fit For

Non-SaaS B2B, new categories without G2 coverage, or products not listed on G2.

---

Demandbase: The 6sense Alternative

What It Does

Similar to 6sense — AI-aggregated intent plus orchestration layer. Slightly different data model (more first-party-heavy, less cooperative).

Pricing

$60K-150K/year.

Strengths

• Strong advertising integration (display, LinkedIn)
• Good for ABM orchestration (not just intent)
• Slightly better for enterprise than mid-market

Weaknesses

• Very similar to 6sense — real differentiation is case-by-case
• Same enterprise cost, same enterprise complexity
• Ad layer overlaps with LinkedIn's native tools

Best For

Teams already running Demandbase's ABM stack who want to consolidate intent into the same vendor. If you're evaluating 6sense vs. Demandbase greenfield, most teams end up roughly where they started.

---

Free Signals: The Dark Horse

What It Is

Monitoring Reddit, X/Twitter, LinkedIn, job boards, Crunchbase, and press releases for buying signals. Done manually or with purpose-built tools.

Cost

$0 if you do it manually. $500-5K/mo if you use a tool like OutreachPilot, Common Room, or Syften.

Strengths

• Zero cost for the raw data
• Real-time (not 2-4 week lag)
• Specific (public posts describe exact pain, exact competitor, exact role)
• No contract lock-in
• Works regardless of company size

Weaknesses

• Manual effort required at low volume (or tooling to scale)
• Quality depends heavily on keyword/subreddit selection
• Doesn't cover all categories equally (community activity varies by vertical)
• No predictive layer — you interpret buying stage from context

Best For

• SMB and mid-market with $25K-$500K ACV
• Companies with active online communities in their category (SaaS, dev tools, marketing, sales, fintech)
• Teams that can act on signals within 48 hours
• Early-stage companies without budget for paid intent

Bad Fit For

• Categories with low online community activity (industrial manufacturing, niche B2B services)
• Teams that can't respond to signals within the window
• Enterprise motions where the value is in aggregate account stage, not individual posts

---

Side-by-Side Comparison

Provider	Cost	Lag	Specificity	Best ACV Range	Best Team Size
Free signals	$0-5K/mo	Real-time	Very high (exact post)	$10K-$500K	5-50 reps
G2	$5K-20K/yr	24-48 hrs	Product-specific	$25K-$250K	10-100 reps
Bombora	$25-75K/yr	2-4 weeks	Topic-level	$50K-$500K	25-500 reps
Demandbase	$60-150K/yr	1-2 weeks	Account-level	$100K+	50+ reps
6sense	$50-150K/yr	1-2 weeks	Account + stage	$100K+	50+ reps

---

The Stack Most Teams Should Actually Build

No single provider covers everything. The highest-ROI stack depends on your ACV and team size.

Early-stage (<$5M ARR)

• Free signals only
• Manual + light tooling ($500-2K/mo)
• Total: <$25K/yr

Growth stage ($5M-$25M ARR)

• Free signals + G2 Buyer Intent
• Lightweight signal tool ($2-5K/mo)
• Total: $30-80K/yr

Mid-market ($25M-$100M ARR)

• Free signals + G2 + Bombora
• Mature signal tooling
• Total: $80-150K/yr

Enterprise ($100M+ ARR)

• 6sense OR Demandbase + G2 + Bombora + free signals
• Full stack
• Total: $150-300K/yr

Notice what's on every row: free signals. They're additive to every tier. The paid providers layer on top, not underneath.

---

When Free Beats Paid

The scenarios where the free signal layer is strictly better than any paid provider:

1. Niche ICP with strong community presence

If your buyers hang out in 5-10 subreddits and a dozen X accounts, free monitoring gives you 100% coverage. Bombora and 6sense can't match that specificity.

2. SMB / early-stage motion

When your ACV is $25K and you're closing 30 deals a quarter, a $75K intent data contract costs more than the pipeline it generates.

3. Real-time speed requirement

Bombora's 2-4 week lag is fine for nurture campaigns. Useless for 48-hour signal response. Free signals are real-time.

4. Non-U.S. geographic focus

Most paid providers are U.S.-heavy. Free signals don't care — Reddit and X span global markets.

---

When Paid Beats Free

The scenarios where paid is essential:

1. Enterprise ACV with predictive stage requirements

When your deals take 9 months and rep time is $500/hour, 6sense's buying stage model pays for itself.

2. Huge target account lists

Manually monitoring signals for 10,000 target accounts is impossible. Bombora does it automatically.

3. Category with limited community activity

If your buyers don't talk publicly, free signal monitoring produces nothing. Bombora can still surface research activity.

4. Multi-product portfolios

Cross-product intent aggregation is where 6sense shines. Free monitoring doesn't stitch this together.

---

The Integration Question

Whatever stack you build, the data is only useful if reps can act on it. Most teams fail at this step.

Requirements for a working intent data integration:

• Signals surface in CRM (not a separate dashboard)
• Signals trigger rep alerts in Slack/email within 1 hour
• Outbound tools have context when reps send messages
• Close-loop reporting ties signals to booked meetings to revenue
• Decay logic removes stale signals automatically

If your intent data lives in a dashboard nobody checks, you're paying for nothing regardless of which vendor you chose.

OutreachPilot solves the "free signals" and the "act on them" problem in one surface — subreddit and X monitoring, AI-scoring against your ICP, pre-generated replies, and one dock that shows every prospect's signal context. We don't replace 6sense for enterprise ABM. We replace Bombora for everyone else.

---

The Bottom Line

The intent data market is stratified. Enterprise-sized motions still benefit from 6sense or Demandbase. Mid-market gets most of the ROI from G2 + free signals. SMB and early-stage companies get no ROI from paid providers at all.

The decision framework:

• Under $25M ARR or <$100K ACV: free signals only
• $25M-$100M ARR, $100K+ ACV: free signals + G2 + maybe Bombora
• $100M+ ARR, $200K+ ACV: full stack including 6sense or Demandbase

Whatever you buy, make sure your reps can act on it within the signal window. The best intent data is worthless if it produces a weekly digest report nobody reads.

See how free signal monitoring stacks up with paid intent data

---

Last updated: April 2026