B2B SAAS · SERIES A

€0 → €1.2M qualified pipeline in 90 days on one Allbound motion

Spend was climbing while meetings stalled across three disconnected channels and four dashboards. We unified identity and intent into one signal layer and triggered outbound, ABM ads and content off it — until pipeline became predictable.

€1.2M
QUALIFIED PIPELINE / 90 DAYS
3.4×
REPLY RATE VS COLD LISTS
−38%
BLENDED CAC
▸ REPRESENTATIVE ENGAGEMENT · FIGURES ILLUSTRATIVE OF THE MODEL
B2B SaaS · Series A growth build
INDUSTRYB2B SaaS
SIZE~60 employees · 8-person GTM

The build, week by week

▸ NOT A CAMPAIGN · A SYSTEM, INSTALLED
WEEK 1

Map & resolve

Audit the stack, connect CRM + site + product + ads into one identity graph. Anonymous ICP-fit traffic starts resolving to named accounts on day one.

WEEK 2

Score the market

Stand up fit + intent scoring across 45+ signals. Reps open their day to a ranked, in-market account list instead of a cold spreadsheet.

WEEK 4

Trigger the first plays

Three triggered automations go live: site-intent outreach, funding/hiring triggers, and a competitor-switch play. First meetings booked from signals.

WEEK 8

Orchestrate Allbound

Outbound, ABM ads and content fire off the same signal. Winning content auto-repurposed into ad angles; spend shifts toward converting segments.

WEEK 12

Compounding flywheel

Every closed deal feeds the next cycle. Pipeline is predictable, attribution is account-level, and the team runs the system without manual glue.

Before after

BEFORE
AFTER
Visibility
4 dashboards, no shared truth
One signal layer, one view
Lead timing
Leads after the form
Accounts before the form
Outbound
Cold lists, 0.4% replies
Triggered, 3.4× replies
Rep time
Half the week researching
Selling with context
Attribution
Guesswork
Revenue per signal
▸ EXACT TECH STACK

Built into tools they already owned. No rip-and-replace.

HubSpotClayOpenAIn8nSupabaseAiporate Signal OS
▸ OUTCOMES
Qualified pipeline€1.2M in 90 days
Reply rate3.4× vs cold lists
Blended CAC−38%
Time to first pipeline~3 weeks
Selling time returned~19 hrs / rep / month
Payback period< 4 months (modelled)
Team size8-person GTM
▸ THE BIGGEST LESSON

The constraint was never the tools — they already owned most of them. It was that nothing shared a signal. The moment identity and intent lived in one layer, the existing stack started compounding instead of competing.

▸ WHAT WE'D DO DIFFERENTLY

We'd stand up account-level attribution in week 1, not week 8. Proving which signals created pipeline earlier would have unlocked budget reallocation a month sooner — the single biggest lever on CAC.

REPRESENTATIVE RANGE: SIGNAL-DRIVEN MOTIONS TYPICALLY REACH FIRST PIPELINE IN 2–4 WEEKS AND A SELF-SUSTAINING FLYWHEEL IN ONE TO TWO QUARTERS. OUTCOMES VARY WITH TRAFFIC VOLUME, ICP CLARITY AND DEAL SIZE.

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