Compare · Job-change and buying-signal platform
noombat vs UserGems
UserGems turns job moves of people who know you into graded audiences and AI sequences. noombat ranks every company in your market by chance of a meeting.
The short answer
UserGems is the benchmark for following past buyers to their next company. If your biggest untapped pipeline is people who know you, it is an excellent buy. noombat reads the wider market too and gives every company a chance of a meeting, run for you.
- You want the whole market ranked. UserGems starts from people you know.
- You want a meeting chance. UserGems gives an A to D grade.
- You sell in several countries and want registers and tenders read.
- You want it run for you, with one owner on your side.
- Your biggest untapped pipeline is past customers and users who change jobs.
- You run Salesforce or HubSpot with Outreach, Salesloft or Gong Engage.
- You want a RevOps-tuned platform and sell mainly into the US.
Live simulation · 0 particles
UserGems follows people you know. noombat ranks every company.
- 01Past buyers moving between companiesDots are people who already know you; UserGems follows each one to their next company.
- 02Companies where nobody knows youAround them, blue dots are companies no past buyer has joined, acting in registers, tenders and competitor ads.
- 03One list, learned from your meetingsJob moves and warm paths count too; the amber few are likeliest to take a meeting.
Setup and effort
What it takes to run UserGems vs noombat.
UserGems tracks people you know. noombat reads the whole market and times it on your meetings.
UserGems
What you assemble
- Time to a working list
- 7–30 days
- Who runs it
- A RevOps owner, one day a week
noombat
One system, set up for you
- Time to a working list
- 5–7 days
- Who runs it
- We run it. Your owner spends about a tenth of their time.
Days and effort are our estimates for a typical rollout, not vendor figures.
What you get
One system, set up and run for you.
No tools to stitch together. We run it, and your owner spends about a tenth of their time.
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
Lead scoring
How lead scoring and the meeting chance work.
The score builds over months. The chance of a meeting jumps with fresh activity and fades in days.
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.
Capabilities
noombat vs UserGems, row by row.
What each product watches, decides and does. Checked in September 2026.
What it watches
What it decides
What it does
yes partly, or on a higher tier no
Side by side
The main differences: noombat vs UserGems.
The questions buyers ask on a first call. Checked in September 2026.
| Question | noombat | UserGems |
|---|---|---|
| What it is | One ranked list every morning. Behind each row: score, chance of a meeting, dated reasons, people and angle. | AI command centre for outbound and ABM, grown from job-change tracking. Agents write outreach and sync ad audiences. |
| Where the signal comes from | Registers, tenders, job adverts, funding, press, filings, LinkedIn engagement on your posts and competitors', competitor ads, events, site visits and your CRM. | Dozens of public-source signals rechecked daily, licensed contact intent, US website visitors, and your CRM, calls and email. |
| Countries covered | Each country is read from its own registers and tender feeds. A visit names the company, and the person where data allows. | Website de-anonymisation covers US visitors only, excluding the EU and EEA. Contact-level intent is processed in the US. |
| Lead scoring | Every company in your market is scored. Weights come from your booked meetings, refit as more land. Old evidence counts less. | Visible, editable points for customer similarity plus signals, rolled into A to D grades. |
| Chance of a meeting | Yes. Scent is your chance of a meeting if you reach out today. Fresh activity lifts it. Age lowers it. | No stated probability. It gives a grade and ranked audience, with after-the-fact reporting. |
| What to say next | Who to write to, why now, and an opening line drafted from the company's file. Plus a pre-call brief. | Gem-E writes multi-step sequences from signals and CRM history, and pushes them to your sequencer for review. |
| Personal data | No database is sold to you. It names the committee from engagement and public records, then finds verified emails and mobiles. | Acts as your processor. Visitor ID is US-only, and customer data does not train models. |
| Your CRM | Reads it. Writes score, tier and chance of a meeting to fields of their own, so nothing is overwritten. Or read-only. | Deep Salesforce and HubSpot write-back: creates and de-duplicates records, maps fields and assigns owners. |
| What you operate | Almost nothing. It is set up and run for you, with one owner on your side. Lists land in Slack or Teams. | Tracked-contact lists, ICP and scoring settings, signals, campaigns and workflows, with customer success helping. |
| What arrives | One list every morning, and one file per company. | New or updated CRM records, alerts, sequence enrolments with AI copy, and synced ad audiences. |
| What it takes to start | A pilot on your own market and your own companies, live in five to seven days. | Sales-led setup: CRM integration user, custom fields, tracked-contact reports and a sequencer. Live within weeks. |
The difference
A chance of a meeting, where UserGems gives a grade
Each row opens a file: activity, people, meeting chance and opening line.
Where it fits
UserGems does one part. noombat decides which accounts to work.
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 nameWhere UserGems is strong
What UserGems does better: tracking past buyers
Few tools know more about the people who already bought from you.
FAQ
noombat vs UserGems: common questions.
Can we use UserGems and noombat together?
Yes. UserGems writes known people's moves into your CRM. noombat reads that CRM with the wider market and picks which accounts each owner works today.
Does UserGems only track job changes?
No. It now has a broad signal library, scoring, AI-written sequences and ad audience sync. Job changes are still its core.
Is UserGems or noombat better for selling in Europe?
noombat. UserGems excludes EU and EEA visitors from website identification. noombat reads each country's registers, tenders and job adverts, and names the visiting company.
Do UserGems or noombat send emails?
UserGems does: it writes copy and enrols contacts in your sequencer. noombat sends nothing. It routes the account to its owner with the committee and opening line.
Other comparisons
Compare noombat with other tools.
noombat vs Trigify
Trigify is social listening you wire into your own workflows. noombat decides which company to call today.
noombat vs RB2B
RB2B names the people on your website. noombat ranks your whole market, including companies that never visit.
noombat vs Dealfront
Dealfront identifies European website visitors. noombat watches the whole market, visitors included.
Bring your market to the call.
A 30-minute call on your market and your first morning list. You see your own companies, not a demo.