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Track funding rounds, hiring signals, tech changes, and custom triggers. When signals fire, nRev auto-researches companies and sends hyper-personalised outreach at the exact right moment.
Explore These
How Signals Work
Job Description Mining
ROI Signal Calculator
The Signal Plays Library
The reality of B2B Outbound in 2025
The 3-signal ceiling
The average revenue team monitors 3 signal types. Their best-performing competitors monitor 18+. That 15-signal gap is not a technology problem - it's the reason your pipeline grows linearly while theirs compounds." - and that gap widens every quarter you don't fix it.
Real Outcomes, Not Just Features
Job Description Outcome Extraction
AI Research Before Every Message
LinkedIn Engagement-to-Sequence Conversion
Instant Slack/ Email Alerts
Tech Stack & Intent Signal Monitoring
Signal Attribution & Pipeline Intelligence
Why This Isn't Just Another "Intent Data Tool"
the entire loop from trigger to booked meeting.
Most Signal & Intent Tools | nRev's Signal-Based Outbound |
|---|---|
✕ Surface the same 3 signals every competitor already acts on - you arrive in a crowd of identical pitches | ✓ 18+ signal types monitored -including the sub-surface ones no competitor is watching or acting on yet |
✕ Deliver raw data only - your team still has to research, write, and route everything manually | ✓ Full loop closed: signal → research → draft → human review → send. In under 5 minutes per trigger |
✕ No job description intelligence - flags a hire but never reads what outcome the hire is meant to achieve | ✓ Job description outcome extraction - reads the whole posting for the problem, tool, and outcome being hired toward |
✕ LinkedIn, email, and website signals stay siloed - warm intent expires unused every week | ✓ LinkedIn, email, and website intent unified - every warm touch point converted into a structured sequence automatically |
✕ No quality control on AI output - generic, hallucinated messages go straight to your prospects and burn your sender reputation | ✓ Built-in human-in-the-loop approval - like PriceLabs' Slack model, quality is guaranteed at every scale |
How It Works
A simple three-step motion
Connect Your Stack
Link your CRM, LinkedIn, email platform, and website in minutes. Define your ICP, signal types, and the outcomes or tools your ideal buyers reference. No developer required.
Tell nRev Who to Watch
Tell nRev which accounts to monitor, what triggers matter, and what context to extract from each signal type. The profile shapes every alert, every draft, every sequence your team receives.
nRev Takes It From Here
Signal fires. nRev researches, drafts, routes for review, and sends approved — all automatically. Your rep gets a meeting. The engine gets smarter. Repeat, infinitely.
Pricing & ROI
Nudge
For testing a GTM workflow or two. Lightweight runs, low volume.
Growth
A handful of outcome-driven workflows on a regular cadence.
Scale
5 hrs/mth GTM support
Multiple workflows running in parallel.
Done for you
20 hrs/mth GTM support
Heavy workflow load across your full GTM motion.
The $194K–$243K Stack You’re Replacing
Tool / Role | Annual Cost |
Manual Signal Research (SDR) | $120K |
Intent data platform | $36K–$60K |
LinkedIn Sales Navigator | $8K–15K |
Data enrichment platform | $30K–$48K |
Total | $194K–$243K/year |
Expected ROI
Hard Savings
$194K+ in stack costs eliminated
Revenue Lift
6.4× improvement in reply rate → $200K–$500K in additional pipeline