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noombat vs 6sense, ZoomInfo, Clay and other sales tools
Most tools do one part of the job. noombat picks which companies to work today, and we run it.
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Five kinds of tool, and the job between them.
- 01Five kinds of toolContact data, intent, workbenches, CRM suites and sequencers: each cluster is one kind a revenue team buys.
- 02Each does one layerEach does one job, from listing contacts to sending in your name; none decides which account to work.
- 03noombat decides where to focusIn the middle, noombat names the account, the reason and the owner, and passes it on.
The category
Where does noombat fit among sales tools?
Data tools say what happened, and AI agents send messages. noombat decides which accounts to work, and why.
Contact data
Names and contact detailsIntent and signals
What companies didWorkbenches
Build your own workflowsWhere to focus
noombatWhich account, why, the chance of a meeting and who owns it.CRM suites
Scores records already in your CRMAI SDRs and sequencers
Sends messages in your nameIntent data and account-based marketing
noombat vs 6sense
6sense is predictive ABM for named-account programmes. noombat sends a ranked morning list from the public record.
B2B contact and company database
noombat vs ZoomInfo
ZoomInfo is the largest US contact database. noombat reads your market from each country's own registers.
GTM data orchestration
noombat vs Clay
Clay is a workbench for building your own enrichment. noombat sends a finished list every morning.
Sales database and engagement
noombat vs Apollo.io
Apollo is a contact database and sequencer in one seat. noombat watches your market from public records.
Signal-based go-to-market
noombat vs Common Room
Common Room reads community and product signals for software companies. noombat reads public-record signals for any company.
CRM-native AI and buyer intent
noombat vs HubSpot Breeze
Breeze is HubSpot's built-in AI and buyer intent. noombat watches the market HubSpot's network does not see.
CRM-native AI agents
noombat vs Agentforce Sales
Agentforce puts Salesforce AI agents across the sales cycle. noombat is a finished system watching the market.
Revenue intelligence
noombat vs Gong
Gong analyses the conversations your team already has. noombat finds the companies you should be talking to.
Job-change and buying-signal platform
noombat vs UserGems
UserGems grew from job-change tracking into a signal library. noombat ranks your market by chance of a meeting.
Social signal listening and workflows
noombat vs Trigify
Trigify is social listening you wire into your own workflows. noombat decides which company to call today.
Website visitor identification
noombat vs RB2B
RB2B names the people on your website. noombat ranks your whole market, including companies that never visit.
Website de-anonymisation and AI orchestration
noombat vs Warmly
Warmly names website visitors and lets AI agents follow up. noombat covers the months before they visit.
Signal-based outbound
noombat vs Unify
Unify turns buying signals into sent sequences. noombat picks which companies deserve a rep today, and never sends.
AI SDR
noombat vs 11x
11x sells AI workers that send outreach in your name. noombat decides which companies are worth contacting.
AI revenue platform
noombat vs Rox
Rox gives large sales teams AI agents over CRM, warehouse and calls. noombat watches the market outside them.
European B2B contact data
noombat vs Cognism
Cognism has the strongest European contact data in the category. noombat watches which companies changed, and when.
European website identification
noombat vs Dealfront
Dealfront identifies European website visitors. noombat watches the whole market, visitors included.
Account-based marketing
noombat vs Demandbase
Demandbase is enterprise ABM with its own ad network. noombat sends a morning list built from public records.
What noombat does
From the first signal to the account owner.
The same, whichever tool you compare.
From the market
- Company registers
- Public tenders
- Job adverts
- News and funding
- LinkedIn engagement
- Competitor ads
- Events
- Website visits
From your systems, via API
- Your CRM
- Your sends and replies
- Meetings booked
- LinkedIn Ads
Your model
- One model per organisation
- Fitted on your booked meetings
- Old evidence counts less
- Refit weekly, worse refits rejected
What you get
Where it lands
- Slack
- Teams
- Your CRM
- Ad audiences
Every company in your market, scored
Every company in your countries is scored on your definition of a good customer. That includes the ones your team never called.
Scent: your chance of a meeting
The score builds over months. Scent is your chance of a meeting today. A high score with a low Scent means warm the account up before you call.
Fitted to your own outcomes
Weights come from the meetings your pipeline booked. They are refit as outcomes land. Old evidence fades.
The reason, dated, with its source
Every row says what happened, when, and where: a register, a tender, a job board, your site. A seller can repeat it.
The buying committee, by name
Who was appointed, who reacted to your post, who read /pricing, who warmed to a competitor, and when.
The angle, already written
Who to write to, why now, and an opening line from the company's own file. Plus a two-minute brief before the call.
The model
How the score and the meeting chance work.
Each organisation gets a model fitted on its own booked meetings. A weekly refit that ranks worse is rejected.
Example: one company, 120 days
- 1Reacted to your post
- 2Visited pricing twice
- 3New CFO named
- 4Tender published
An example. Curves and results differ for every organisation.
How we compare
Our rules for these pages.
No invented weaknesses
Every limit comes from the vendor's own material. If it changes, tell us and we fix it.
Rivals are good products
Every page says who should buy the other product.
No price comparisons
Price is not a row. We price noombat after a call about your market.