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AIPORATE · REVENUE SIGNAL OSCASE STUDIESVOL.01 · 2026

The
Work

Not campaigns. Systems. Three model builds, one for a B2B SaaS founder, an agency and a consultant, showing how the Revenue Signal OS turns scattered effort into one Allbound motion off a single signal.

▸ FIGURES ILLUSTRATIVE OF THE MODEL
WHO

Founders & lean GTM teams

WHAT

One system, not a tool stack

HOW FAST

First pipeline in days, not quarters

PROVEN FRAMEWORKS · NO GUESSWORK

We don't freestyle.
We run battle-tested systems

Every build stands on frameworks operators already trust, wired into one Revenue Signal OS, not bolted on as another tool.

ABAllboundONE MOTION
AMABMACCOUNT-BASED
PGPLGPRODUCT-LED
MDMEDDICCQUALIFICATION
RORevOpsOPERATIONS
AEAEO / GEOANSWER ENGINES
ICICPTARGETING
JBJTBDPOSITIONING
Game-style growth chart: a B2B SaaS · Series A powers up from small to a maxed-out hero, €0 to €1.2M qualified pipeline in 90 days on one Allbound motion
CASE 01B2B SAAS · SERIES A
B2B SAAS · SERIES A

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

€1.2M
QUALIFIED PIPELINE
3.4×
REPLY RATE
−38%
BLENDED CAC

Challenge, Three disconnected channels, four dashboards, no shared view of which accounts were actually in-market. Spend was rising while meetings stalled.

Approach
  • Unified CRM, prospecting, ads and analytics into one identity graph
  • Layered ICP + intent scoring to surface the hot list daily
  • Orchestrated outbound, ABM ads and content off the same signal
  • Closed the loop: budget auto-shifted to the converting segments

Result, Within a quarter the flywheel was self-sustaining. Every closed deal fed the next cycle, with pipeline finally predictable.

Build mine ▸
Game-style growth chart: a Boutique agency powers up from small to a maxed-out hero, One signal layer turned outbound and content into a single compounding engine
CASE 02BOUTIQUE AGENCY
BOUTIQUE AGENCY

One signal layer turned outbound and content into a single compounding engine

2.1×
MEETINGS / MO
11 days
TO FIRST PIPELINE
1
SOURCE OF TRUTH

Challenge, The team produced great content and ran heavy outbound, but neither knew what the other was doing, so effort never compounded.

Approach
  • Mapped every channel into the Revenue Signal control plane
  • Triggered outreach from real content-consumption signals
  • Repurposed winning content into ABM ad angles automatically

Result, Content started feeding outbound and ads in real time. Same team, same tools, but finally one motion.

Build mine ▸
Game-style growth chart: a Personal brand · consultant powers up from small to a maxed-out hero, A content and ABM flywheel that books calls while you sleep
CASE 03PERSONAL BRAND · CONSULTANT
PERSONAL BRAND · CONSULTANT

A content and ABM flywheel that books calls while you sleep

41
BOOKED CALLS / MO
10M+
IMPRESSIONS
4 hrs
SAVED / DAY

Challenge, A strong personal brand generating attention, but no system to convert that attention into booked calls and pipeline.

Approach
  • Wired brand monitoring + engagement signals into one feed
  • Auto-surfaced warm prospects from content engagement
  • Built 3 automations that turn signals into booked calls

Result, Attention became pipeline. The brand kept compounding while the system did the routing.

Build mine ▸

Work Examples

Identity Resolution, Aiporate Revenue Signal OS moduleA1
Identity Resolution
Signal Scoring, Aiporate Revenue Signal OS moduleA2
Signal Scoring
Allbound Orchestration, Aiporate Revenue Signal OS moduleA3
Allbound Orchestration
AI Workflows, Aiporate Revenue Signal OS moduleA4
AI Workflows
Attribution, Aiporate Revenue Signal OS moduleA5
Attribution
Custom Infrastructure, Aiporate Revenue Signal OS moduleA6
Custom Infrastructure
▸ PROOF OF THE SYSTEM

Every signal
is pipeline