Spray & pray motion
- Scraped lists that never sync back to the CRM
- The same generic pitch to every persona
- No signals, no timing, no idea who is in-market
- SDRs drowning in manual research and copy-paste
- Reporting that arrives too late to act on
AI GTM Engineering
Pipeline you can trace back to a signal.
Outbound isn't broken. Yours is just unengineered. Buying committees have never been noisier, and volume no longer wins. We build the system that reaches the right account the moment it's in-market, with a message assembled from its own signals — and syncs every touch back to your CRM so nothing leaks.
Signal-based architecture100% CRM hygiene sync
GTM command center · livethis week
New in-market signals+24 today
Accounts enrichedwaterfall
Meetings bookedthis wk
Reply rate vs cold3–5× cold
Pipeline → CRMsynced
2 weeks
to a live signal motion
2–3×
single-source data coverage
Live
CRM hygiene & reporting
Yours
the engine at the end
The shift
Winning outbound stopped being about volume.
The old motion was a numbers game: scrape more, send more, hope. The new motion is an engineering problem: detect intent, enrich deeply, score for fit, and route effort only to accounts that are actually in the market.
Engineered by Leadnius
- Deep waterfall enrichment that fills gaps other tools miss
- Messaging per persona built from real buyer language
- Fit + intent scoring that routes effort to the right accounts
- Enrichment and orchestration that run without babysitting
- Live dashboards your Monday review reads in ten minutes
Always-on machine
The system behind a signal-based GTM motion.
Signals become deeply enriched, prioritised accounts, then become coordinated outreach and clean CRM intelligence.
Stage 01
Signal
Funding, hiring, tech-stack changes, site visits, and product triggers tracked live.
Stage 02
Enrich
Waterfall data per account — the next provider fires when the last one comes up empty.
Stage 03
Score
Fit + intent combined so the best accounts surface first, not the loudest.
Stage 04
Sequence
Email and LinkedIn in sync, personalised from the account's own signals.
Stage 05
Route
Ranked queues and clean handoffs so reps work the right account next.
Stage 06
Sync
Every touch written back to the CRM, stages updated, reporting live.
Two engines
Outbound precision, then account-level depth.
We engineer the operating layer and the account-based motion together.
Engine 01 · Revenue ops
GTM Systems Engineering
The operating system behind high-conversion outbound and a CRM your team can trust.
- Signal capture and intent activation
- Deep enrichment & fit scoring
- CRM and RevOps sync with stage hygiene
- Ranked routing queues and live reporting
Engine 02 · Marketing ops
Account-Based Marketing
Pick the accounts that matter, wait for them to signal, then surround the buying committee.
- Account tiering and signal activation
- Committee multi-threading
- Multichannel email, LinkedIn, and ad plays
- Visitor de-anonymisation and pipeline acceleration
Built for your stage
From first pipeline to predictable scale.
The engine stays the same; what it is tuned for changes with your stage.
Pre-revenue · 0 → 1
Find the motion that works
Turn product conviction into proof that a repeatable channel exists before hiring around it.
- Define your ICP and buying committee
- Test message-market resonance
- Build a founder-led outbound motion
Series A+ · 1 → scale
Make the motion compound
Turn scattered systems and growing pipeline pressure into a coordinated revenue engine.
- Account-based segmentation
- RevOps orchestration
- Multi-threaded enterprise plays
The stack
Build on a clean data model
Reliable data, orchestration, and activation — assembled in the order the system needs.
- Buying-group model and lifecycle ownership
- Waterfall enrichment and auto-routing
- Deliverability infrastructure and live dashboards
Every engagement is built around your existing operating reality, then adapted as the system starts producing real feedback.
What we measure
A system is only useful when the right work moves.
The practical outputs and indicators that show whether the motion is getting sharper over time.
Cost per meeting
Tracked weekly
Fully-loaded cost of every qualified meeting.
Signal-to-meeting time
Days, not weeks
How fast an in-market signal becomes a conversation.
Data match rate
2–3× single-source
Coverage from multi-provider waterfall enrichment.
CRM hygiene
Automated
Duplicates, stages, and orphaned records handled by the system.
Before you ask
The questions teams ask before we start.
Traditional lead gen is a volume game. ABM qualifies a specific list of target accounts first, then runs coordinated outreach only to them — less volume, higher conversion, and less spend wasted on accounts that cannot buy.
Stop spraying. Start engineering.
Map the signals that matter in your market, the accounts worth chasing, and what a signal-based motion looks like for your stage.
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