Bombora vs 6sense (2026) Compared

Bombora sells intent data. 6sense sells a vision of predictive revenue. You're choosing between a data feed and an operating system.

The Short Version

THE SHORT VERSION

Bombora is the better choice if you want pure intent data to feed into your existing tech stack (CRM, MAP, ad platforms) without ripping and replacing anything. 6sense wins if you want an all-in-one ABM platform with intent, predictive analytics, orchestration, and advertising built in. The risk with Bombora is that intent data alone doesn't drive action without good workflows; with 6sense, it's the price tag and the 18-month implementation before you see ROI.

Starting Price
Bombora $25K+/year
vs
6sense $60K+/year
Typical Mid-Market
Bombora $36K-$60K/year
vs
6sense $75K-$120K/year
Job Postings
Bombora 1
vs
6sense 22
Intent Data Type
Bombora Co-op (publisher network)
vs
6sense Multi-source (web, co-op, keyword)

Quick Comparison

Feature Bombora 6sense
Core Product Intent data feed (Company Surge) Full ABM platform + intent
Starting Price $25K+/year $60K+/year
Contract Annual Annual (multi-year common)
Intent Data Source B2B publisher co-op (5,000+ sites) Multi-source: web, co-op, keyword, 6sense network
Topic Taxonomy 7,000+ topics Custom keyword + topic based
Account Identification No (intent data only) Yes (de-anonymize web traffic)
Predictive Analytics No Yes (buying stage prediction)
Ad Platform No (integrates with DSPs) Built-in display advertising
Best For Adding intent signals to existing stack Full ABM orchestration platform
The Big Risk Data without activation workflows High cost, long time-to-value

Deep Dive: Bombora

What They're Selling

Bombora's pitch is straightforward: they operate the largest B2B intent data co-operative, tracking content consumption across 5,000+ publisher websites. Their Company Surge data tells you which accounts are researching topics relevant to your product, scored by intensity. It's a data feed, not a platform. You plug Bombora into your existing CRM, MAP, or ABM tools and use it to prioritize accounts.

What It Actually Costs

Pricing starts around $25K/year for limited topics and accounts. Most mid-market companies pay $36K-$60K/year for broader coverage. Enterprise deals with multiple topic clusters run $60K-$100K+/year. Unlike 6sense, there's no platform cost on top. But you will need existing tools (CRM, MAP, ad platform) to activate the data, which are separate costs.

What Users Say

Users appreciate Bombora's simplicity: it does one thing (intent data) and integrates with everything. The Company Surge scoring is well-regarded for account prioritization. Frustrations include: topic taxonomy can be too broad, difficulty attributing pipeline to intent signals alone, and the fact that co-op data captures content consumption but misses search-based intent.

Pros

  • Largest B2B intent data co-operative
  • Integrates with 40+ platforms (CRM, MAP, DSP)
  • Simpler to implement than full ABM platforms
  • Lower price point than 6sense

Cons

  • Intent data only, no activation tools built in
  • Co-op data misses search and web-based intent
  • Topic taxonomy can be too broad for niche products
  • Hard to measure ROI without proper attribution

Read the full Bombora review →

Deep Dive: 6sense

What They're Selling

6sense positions itself as the revenue AI platform for B2B. The pitch goes beyond intent data: 6sense combines intent signals from multiple sources, de-anonymizes website visitors, predicts buying stages, orchestrates campaigns, and runs display advertising. It's an operating system for ABM, not just a data feed.

What It Actually Costs

Pricing starts around $60K/year for smaller deployments. Most mid-market companies pay $75K-$120K/year. Enterprise deals commonly run $120K-$250K+/year with multi-year contracts. Implementation typically requires 3-6 months and a dedicated RevOps resource. Total first-year cost including implementation and training can be 30-50% above the license fee.

What Users Say

Teams that fully implement 6sense often become advocates. The buying stage prediction and account identification features get strong praise. The most common complaint: time-to-value is long. Companies report 6-18 months before they're getting consistent value. The platform is complex, requires dedicated resources, and the AI models need data to calibrate. Buyer's remorse is real for companies that underestimate the implementation lift.

Pros

  • Multi-source intent data (broader coverage than co-op alone)
  • De-anonymizes website visitors to accounts
  • Predictive buying stage models
  • Built-in display advertising and orchestration

Cons

  • Significantly more expensive than data-only solutions
  • 6-18 month implementation timeline
  • Requires dedicated RevOps resources
  • Multi-year contracts with limited flexibility

Read the full 6sense review →

Which Should You Pick?

IF You already have a working ABM stack and need intent signals
THEN Bombora. Plug intent data into your existing tools without replacing anything.
IF You're building an ABM program from scratch
THEN 6sense. The all-in-one platform means fewer integration headaches for new programs.
IF Your budget is under $50K/year for intent data
THEN Bombora. You can get solid intent data for $25K-$36K/year without platform costs.
IF You want to de-anonymize website visitors
THEN 6sense. Bombora doesn't identify website visitors. 6sense does.
IF You have a RevOps team of 1-2 people
THEN Bombora. 6sense requires dedicated resources to configure and maintain. Smaller teams will struggle to extract full value from the platform.

The Honest Take

Bombora and 6sense aren't direct competitors in practice. Bombora sells data; 6sense sells a platform that includes data. The decision is less about which intent data is better and more about how much of your ABM stack you want from a single vendor. Companies with mature CRM, MAP, and ad operations often prefer Bombora's approach: add intent signals without disrupting existing workflows. Companies that want a single platform to run their ABM program lean toward 6sense. The catch: 6sense's promise of predictive, AI-driven revenue is compelling on paper but requires significant investment in time, money, and resources to realize. Many companies buy 6sense expecting magic and discover it's a powerful but complex tool that demands real operational commitment.

Questions to Ask Before Buying

  1. Do you have an existing ABM platform, or are you starting from scratch?
  2. What tools will you use to activate intent data (CRM workflows, ad platforms, BDR alerts)?
  3. How many topics or keywords do you need to monitor for intent signals?
  4. Do you need website visitor identification, or is account-level intent sufficient?
  5. What's your realistic budget for intent/ABM tools including implementation?
  6. Do you have dedicated RevOps resources to configure and maintain a platform like 6sense?
  7. How do you plan to measure ROI on intent data?
  8. Are you willing to commit to a multi-year contract?

Frequently Asked Questions

Is Bombora or 6sense better for intent data?

Bombora provides pure co-op intent data from 5,000+ publisher sites with 7,000+ topics. 6sense uses multi-source intent (co-op, web, keyword-based). 6sense has broader coverage, but Bombora's focused approach integrates more easily into existing tools. For intent data quality alone, both are strong. 6sense offers more sources; Bombora offers simpler integration.

Can you use Bombora and 6sense together?

Technically yes, but there's significant overlap. Some enterprises use Bombora's co-op data as one signal feeding into 6sense's platform. Most companies choose one or the other since 6sense includes its own intent data layer.

How much does Bombora cost vs 6sense?

Bombora typically costs $25K-$60K/year for intent data. 6sense costs $60K-$120K+/year for the full platform. The price gap widens when you factor in 6sense's implementation costs and the RevOps resources needed to run it. Bombora's total cost of ownership is lower, but you need existing tools to act on the data.

About the Author

Rome Thorndike has spent over a decade working with B2B data and sales technology. He led sales at Datajoy, an analytics infrastructure company acquired by Databricks, sold Dynamics and Azure AI/ML at Microsoft, and covered the full Salesforce stack including Analytics, MuleSoft, and Machine Learning. He founded DataStackGuide to help RevOps teams cut through vendor noise using real adoption data.