Marketing Intelligence for THE AI-native ERA

Stop burning 99% of your budget on blind ABM.

From spraying-and-praying to AI-native ABM; where agents work 24/7 to enrich the right accounts, campaigns adapt in real time, and intelligence compounds from every signal.

We've worked with GTM teams at:

Step 01
BUILD Infrastructure

Your GTM Brain.

Unified context from every signal and source.
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Connect GTM tech stack: HubSpot, Gmail, Gong, Slack etc.
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Analyze ICP, persona, campaign performance, win/loss, churn analysis +
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Generate the context layer for your GTM
Step 02
ACCOUNT ENRICHMENT

Enrich every account + contact

Workers research the web and social, building context on every record
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Real-time enrichment of target accounts and social signals syncing directly into the CRM
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Build unique value maps for every record
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Gather any information required by your GTM
Step 03
SCORING

Prioritize the best accounts, the best action, at scale.

Workers understand why you win, score every record, with reasons why
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Know your best-performing segments, personas + messaging
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Score accounts with context from across your GTM brain
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Prioritize the next best action, automate activity, and enable smarter decision-making
Step 04
ORCHESTRATION

Take the right action, at the right time, every time.

Automate the next-best action, wherever you are working.
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Assign + route accounts with reasoning
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Automate adding to campaigns + sequences
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Escalate high-priority opportunities
Step 05
REPORTING + LEARNING

Always learning,
always on,

Report on performance, analyze success factors, and learn with every completed activity.
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Ask questions, get answers, at the speed of thought
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Schedule reporting on ABM, ICP + personas, when you need it
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Workers learn 24/7, evolving your GTM brain - with reasoning why

Backed by enterprise-grade security and infrastructure

ISO27001:2022

Certified secure by the global gold standard

GDPR

EU privacy laws fully respected and enforced

CCPA

California data rights protected by design

Data Protection Act 2018

UK data handled lawfully and securely

Join Elite GTM Teams Building AI-native Marketing with Revenue Labs

From spray-and-pray to precision at scale.

"We're not guessing anymore.

We know which accounts will convert, and why."

— Head of Growth, $50M ARR B2B platform

3x
improvement in segment accuracy based on real signals
90%
faster messaging + persona prep
2.7x
lift in conversion on outbound ABM campaigns
450+
Hours saved on researching, enriching and prioritising accounts
Meet your AI Marketing WORKFORCE

100+ AI marketing agents.
Always on. Always acting. Always optimizing.

Pull from any data source. Push to any tool.
1,500+ integrations

Frequently Asked Questions

How long does setup take?

Most teams are live in 2-3 weeks. Connect your data sources (CRM, intent tools, call transcripts etc), we build your ICP and persona models from historical data, then deploy your first AI Workers. You'll see account-fit scoring and propensity models running within the first month.

Do I need to replace HubSpot or Salesforce?

No. Revenue Labs sits on top of your existing CRM and marketing stack. We connect the data across tools—CRM, intent, product usage, calls—so your AI Workers can reason across all of it. Your team keeps working where they already work.

What's the difference between Revenue Labs and Clay or Apollo?

Clay and Apollo enrich accounts with firmographics. Revenue Labs scores accounts on propensity to buy using your historical win patterns, then routes them to campaigns with the right message at the right time. It's not just data enrichment — it's understanding who will convert and why.

Will this replace our marketing team?

No — it makes them 3-5x more effective. AI Workers handle account research, ICP scoring, signal monitoring, and campaign analysis. Your team focuses on strategy, creative, and closing deals. Think of it as giving every marketer a 24/7 analyst team that never forgets a pattern.

How does it know which accounts to prioritize?

Revenue Labs analyzes your closed-won deals to understand ICP fit patterns, then scores new accounts against those patterns. It combines firmographic fit with real-time signals (hiring, tech changes, intent) and propensity modeling. You get ranked lists of who to target and why—not just a TAM spreadsheet.

Can I use this for ABM campaigns?

Yes. Revenue Labs builds dynamic micro-segments based on ICP fit and buying signals, then routes accounts to personalized campaigns in LinkedIn, HubSpot, or any of our 200+ pre-built connectors. The system learns which messages convert for which segments and adapts in real-time. No more spray-and-pray.

Do I need a data team or engineers to use this?

No. Our team handles data integration, modeling, and setup. You connect your tools, we build the intelligence layer. If you can use Salesforce and run campaigns, you can use Revenue Labs. No SQL, no data pipelines, no waiting on engineering.

How does the system learn from our campaigns?

Every campaign result—opens, clicks, conversions, closed deals—feeds back into the system. Revenue Labs tracks which ICP segments convert, which messages resonate, and which signals predict deals. Next quarter's campaigns start smarter than this quarter's—that's the compounding advantage.

What's the ROI timeline?

Most teams see results within 60-90 days: higher conversion rates, shorter sales cycles, better pipeline quality. The real ROI comes from compounding—after 6 months, your system knows patterns your competitors can't see. After 12 months, your targeting precision becomes a moat they can't replicate.

How does Revenue Labs help us stop wasting budget on bad accounts?

We analyze your closed-won and closed-lost deals to identify which account characteristics predict conversion. Then we score your TAM against those patterns, so you only target accounts that look like your best customers—not just anyone who matches basic firmographics.