Use Bombora to detect early account interest, and use 6sense to decide which accounts deserve sales action now. High-intent purchase signals are not just clicks, searches, or content downloads. They are patterns that show a target account is researching a problem, comparing options, and moving toward a decision. Gartner has reported that B2B buyers spend only 17% of their buying time meeting potential suppliers, which makes third-party and anonymous buying signals hard to ignore [source: Gartner].
TLDR: Bombora is best for spotting topic-level interest across a broad account list, while 6sense is stronger for ranking accounts by predicted buying stage and sales readiness. For example, if 400 target accounts show interest in “cloud security,” Bombora can tell you which accounts are surging on that topic; 6sense may narrow that list to 35 accounts likely in a buying cycle. A practical team might send ads to all 400, route the top 35 to SDRs, and measure meeting conversion by stage. The better choice depends on whether you need raw intent coverage or a fuller revenue workflow.
What high-intent purchase signals really look like
High intent means an account is showing behavior that aligns with a real buying motion. One person reading a general article is weak intent. Several people from the same company researching pricing, competitors, integrations, and implementation risks over two or three weeks is much stronger.
The catch is that many teams confuse activity with intent. That mistake burns SDR time. It also creates lazy targeting. A good signal should answer three questions:
- Fit: Is the account in your ideal customer profile?
- Timing: Is the research recent and rising?
- Depth: Are the topics close to purchase, or just educational?
- Consensus: Are multiple people or departments showing interest?
- Action: Did the account engage with your website, ads, email, or sales team?
Bombora: strong for external topic intent
Bombora is often used when sales and marketing teams want to know which companies are researching certain business topics across a large publisher co-op. Its well-known Company Surge data measures whether a company is consuming more content around a topic than its own normal baseline [source: Bombora].
This matters because a “surge” is not just an absolute volume count. It compares behavior against what is typical for that company. A midsize manufacturer reading five articles on “ERP modernization” may be more meaningful than a global bank reading 30 articles on the same topic, if the manufacturer rarely researches that subject.
Where Bombora works well:
- Building account lists for ABM campaigns.
- Finding accounts entering early research.
- Choosing ad audiences by topic.
- Prioritizing outbound themes for SDRs.
- Tracking market interest in product categories.
Where Bombora can frustrate teams: the signal often needs context before sales can act. Honestly, it feels like some reps get a “surging account” alert and still have to spend another few minutes asking, “Surging on what, why now, and who should I contact?” Without CRM, website, and persona data tied in, the signal can stay too broad.
6sense: stronger for account prioritization and buying-stage prediction
6sense takes a wider revenue platform approach. It combines intent data, anonymous website activity, CRM history, marketing engagement, firmographics, and predictive models to score accounts and place them into buying stages. The goal is not just to show interest. The goal is to tell sales and marketing what to do next.
For B2B targeting, that can be useful. A team may have 2,000 target accounts, 300 showing some intent, and only 40 that sales can call this week. 6sense helps rank those accounts, suppress poor-fit activity, and identify accounts that may be in-market but not yet filling out forms [source: 6sense].
Where 6sense works well:
- Scoring accounts by fit, engagement, and predicted timing.
- Routing accounts to sales based on buying stage.
- Coordinating ads, web personalization, and sales outreach.
- Uncovering anonymous account activity on your site.
- Measuring pipeline impact from intent-based campaigns.
Where 6sense can frustrate teams: setup and governance matter. If CRM fields are messy, territories are outdated, or opportunity data is inconsistent, the model may rank accounts in a way that sales does not trust. Expect to waste time on cleanup if your revenue data is weak.
Bombora vs. 6sense: practical comparison
| Area | Bombora | 6sense |
|---|---|---|
| Best use | External topic intent and account discovery | Account scoring, buying-stage prediction, and sales activation |
| Signal type | Content consumption by company and topic | Intent plus first-party engagement and predictive scoring |
| Sales readiness | Needs enrichment and interpretation | More directly tied to sales workflows |
| Best buyer | ABM, demand generation, market intelligence | Revenue operations, SDR leadership, enterprise ABM |
| Main risk | Topic interest may be too vague alone | Predictions suffer if internal data is poor |
How to identify the strongest purchase signals
The best B2B teams do not treat every signal equally. They assign weight. A generic research topic might be worth one point. A competitor comparison page visit might be worth five. A pricing page visit from a known target account might be worth ten.
Use this simple scoring logic:
- Low intent: broad educational topics, single visit, old activity, poor-fit account.
- Medium intent: repeated topic research, multiple visitors, relevant industry, recent engagement.
- High intent: bottom-funnel topics, product page visits, competitor research, return visits, buying committee activity.
- Sales-ready intent: high-fit account, recent surge, known contact engagement, open opportunity signals, and clear pain-point alignment.
A useful rule: do not send sales after intent alone. Send sales after intent plus fit plus timing. If Bombora shows a surge on “data backup compliance” and your CRM shows the same company opened three emails and visited your compliance page twice, that is a serious buying signal. If 6sense also places that account in a decision stage, it should move near the top of the SDR queue.
Which platform is better for B2B targeting?
Choose Bombora if your core problem is market visibility. It is a good fit when you need to find accounts researching specific topics before they raise their hands. It can feed ABM lists, paid media audiences, content planning, and territory planning.
Choose 6sense if your core problem is prioritization. It is better when you need to decide which accounts sales should work now, which accounts should stay in nurture, and which segments deserve higher campaign spend.
Use both if you have a mature ABM motion. Bombora can widen the top of your intent view. 6sense can combine that signal with first-party data and operational rules. This is often the cleanest model for enterprise teams with large account lists and tight sales capacity.
Final recommendation
For better B2B targeting, treat Bombora as an intent detection tool and 6sense as an intent activation platform. Bombora helps answer, “Who is researching topics we care about?” 6sense helps answer, “Who should we target, how, and when?”
The strongest purchase signals come from combinations, not isolated alerts. Prioritize accounts where external research, first-party engagement, fit, and buying-stage data point in the same direction. That is where intent data stops being noise and starts becoming pipeline.