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Your Platform Knows Who's Ready. Your Sales System Doesn't.

Your product generates commercial intelligence daily. Your CRM can't see it. We connect them.

  • See which accounts are scaling before they tell you
  • Connect platform signals to your pipeline
  • Fire expansion plays when usage patterns predict growth

Trusted by data-native revenue teams backed by the best.

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Who we work with

Developer Tools & Data Platforms

Data Orchestration & Observability
AI/ML Development Platforms
Cloud Data Services
People Analytics & HR Intelligence
Market & Expansion Intelligence
THIS IS WHAT WE BUILD

From Scattered Signals to Revenue Action.

This is your GTM system after we build it. Product usage, hiring signals, funding events – all flowing to the right people at the right time. No new dashboard to log into. Infrastructure that runs.

  • Your team sees what matters without extra tools
  • Usage spikes reach sales when they happen
  • Hiring and funding signals trigger follow-ups
  • Expansion opportunities surface automatically
  • You own the infrastructure we build
GTM Pipeline
6 stages

Lead routed in

47 seconds

Est. value

+$12,000

lead_scoring.ts
const qualifyLead = async (lead) => {
// 1. Enrich with waterfall data sources
const domain = extractDomain(lead.email);
const enriched = await clay.waterfall(domain);
 
// 2. Dynamic ICP scoring logic
const score = calculateICPScore({
employees: enriched.headcount,
funding: enriched.lastRound,
techStack: enriched.technologies
});
 
...
>_ BUILT, NOT BRIEFED

We Build the System. You Keep It.

We wire your platform data to your CRM. We connect usage patterns to expansion triggers. We build the infrastructure that turns product signals into revenue action. Then we hand it to you.

  • We connect your existing tools together
  • Platform usage flows to sales automatically
  • External signals enrich every account
  • Your team gets alerts, not dashboards
  • You own everything we build
See How We Work
OUR PHILOSOPHY

Revenue First, Code Second.

We're not technologists who accidentally ended up in revenue. We're commercial operators who learned to code. Every system we build starts with the business outcome and works backwards to the technical implementation.

  • Revenue Accountability
  • Commercial Outcomes First
  • Full-Funnel Ownership
  • Speed to Impact
pipeline_health.dashboard
Forecast Accuracy+12%
94%
Pipeline CoverageHealthy
3.2x
Q4 Pipeline by Stage$2.4M weighted
Discovery
$890K
Evaluation
$650K
Negotiation
$520K
Closed Won
$340K
Forecast within 6% of actual last 3 quarters
WHY WE'RE DIFFERENT

Not Another Tool. A Commercial Brain.

You already have the signals. We connect them to revenue operations – no new UI to learn.

DIY
Agency
EGTM
Approach
Manual processes
Execution only
Custom systems
Data Strategy
Ad-hoc exports
Basic hygiene
Connected stack
Scalability
Breaks at scale
Needs headcount
Runs itself
What You Get
Tribal knowledge
Their platform
You own it

From signal blindness to signal-driven sales

What changes when product data reaches commercial triggers.

The Old Way

Revenue systems bound to break

  • Trials run indefinitely with no success criteria
  • Free users and trials invisible to sales
  • Usage spikes discovered at renewal, not when they happen
  • Self-serve, enterprise, and partner channels compete
The New Way

Your revenue system with Engineered GTM

  • Trial health tracking with conversion probability
  • Lead scoring routes ready-to-buy accounts to sales
  • Usage-based expansion triggers fire in real-time
  • Unified pipeline across all sales channels

What data platform revenue engineering delivers

Metrics from real implementations with product-led platforms like yours.

-40%

Reduction in trial cycle time with structured success criteria

3x

Increase in free-to-paid conversion with usage-based scoring

+65%

More expansion revenue from usage-triggered plays

120%

Net revenue retention with systematic expansion triggers

Our Methodology

How we engineer revenue systems for data platforms

The same IAO framework, applied to product-led and usage-based GTM.

01
01

Interrogate

Platform Signal Forensics

  • Internal signals: product usage, feature adoption, account activity
  • External signals: hiring, funding, market changes, competitive moves
02
02

Augment

Behavior-Based Scoring

  • Multi-signal lead and account scoring
  • Usage patterns to sales-readiness signals
03
03

Orchestrate

Product-Led Revenue System

  • Conversion playbooks triggered by usage patterns
  • Enterprise handoff routing based on signal strength
System Complete
PROOF, NOT PROMISES

Trusted by Revenue Leaders

Take it from them, not us.

Casap

Fintech, AI-powered disputes
Casap

"I came to Engineered GTM with a half-baked vision for how our data and market tracking should work - they understood it immediately, echoed it back clearly, and executed. We now have clean enrichment, strong infrastructure, and real confidence in our account data."

Tim Bulens

Tim Bulens

Director of Growth

Full TAM

Enriched

Zero

Manual research

Nightly

Data refresh

Orchestra

DevTools / Data Infrastructure
Orchestra

"The team helped us identify the easy-win areas for enriching our data, helped us work out what workflows we needed and gave them to us in a scalable way. Now we have enriched data flowing through and we have an awesome partner who gets what a scale-up needs."

Hugo Lu

Hugo Lu

CEO

End-to-end

Data engine

24/7

Auto-enrichment

100%

They own it

"Our aim was to enrich our account and contact lists so we can prioritize our outreach and have more efficient and effective conversations. The team were able to build a solution that keeps our database up to date with the key details we need, and allows us to maximize the return on our pipeline generation efforts."

Greg Merson

Greg Merson

Head of RevOps

"They didn't just patch the problem, they completely re-architected the entire system from the ground up. Advanced workbooks, four distinct use cases across separate markets, smart conditional routing, rebuilt AI prompts, cleaned logic. All with clear thinking and fast execution."

Ariel Levin

Ariel Levin

Head of Sales & Marketing

21 days average delivery

Data Platform
GTM Forensics

We map every signal that predicts conversion and expansion – from usage patterns to adoption milestones to external market signals. Then we show you exactly which accounts are ready for sales.

Investment tailored to your commercial complexity
Book Your Platform Forensics30-minute discovery call

What's Included

  • Product usage audit: which patterns predict conversion
  • Free-to-paid funnel analysis with conversion triggers
  • Self-serve to enterprise handoff mapping
  • Product-qualified lead scoring model design
  • Expansion signal identification and prioritisation
  • Channel handoff analysis (self-serve → sales-assisted → enterprise)
  • Usage-based routing recommendations
  • 90-day implementation roadmap

Our Guarantee

If we can't identify at least 3 conversion signals your team isn't seeing today, we'll refund the diagnostic fee.

Questions from data platform teams

Usage patterns tell the story. We identify which behaviours predict conversion: team adoption vs. solo use, feature depth, engagement patterns. Then we build scoring that surfaces accounts ready for sales – not based on company size, but on actual platform behaviour.

The opposite. Right now, your sales team is probably cold-calling accounts that are already power users – or worse, haven't logged in for months. We route accounts based on signals, so sales reaches out when there's genuine expansion potential. Users get relevant conversations, not cold pitches.

That's exactly what we build. Multiple motions should complement, not compete. We create unified pipeline visibility with clear handoff triggers: when self-serve usage signals sales-assisted potential, when account activity signals enterprise readiness. One pipeline, multiple sources, clear attribution.

Standard situation. The Forensics maps every signal source and identifies which connections would have the highest revenue impact. We then prioritise implementation by commercial value, not technical ease. Most clients see quick wins from connecting 2-3 high-leverage usage signals.

The Forensics takes 21 days and typically identifies signals your team could act on immediately – often just by surfacing usage data that exists but doesn't reach sales. Full implementation of product-qualified lead routing usually takes 8-12 weeks, with alerts live in the first 4.

Your users are ready to buy. Can your sales system see them?

Book a Platform Signal Forensics. We'll map your product signals to your pipeline and show you exactly which accounts are ready for enterprise conversations.

No obligation. Honest assessment guaranteed.