AIPORATE · REVENUE SIGNAL OSCASE STUDIESVOL.01 · 2026

The
Work

Not campaigns. Systems. Four builds, one for a B2B SaaS founder, an agency, a consultant, and an AI-cloned personal-brand coach, showing how the Revenue Signal OS turns scattered effort into one system off a single signal.

▸ CASES 01-03 ILLUSTRATE THE MODEL · 04 IS A REAL SHIPPED BUILD

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

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.

Read the full build ▸Build mine

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

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.

Read the full build ▸Build mine

CASE 03PERSONAL BRAND · CONSULTANT

▸ PERSONAL BRAND · CONSULTANT

A content and ABM flywheel that books calls while you sleep

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.

Read the full build ▸Build mine

CASE 04PERSONAL-BRAND COACH · AI EXPERTISE

▸ PERSONAL-BRAND COACH · AI EXPERTISE

An AI clone of a coach's expertise, trained on 2,200+ real lessons

2,200+

SOURCE LESSONS EMBEDDED

COURSE MODULES COVERED

<3s

TYPICAL RESPONSE TIME

Challenge, A personal-brand coach with three bestselling books and a 38-module course had deep expertise, but no way to be personally available to everyone who wanted it.

Approach

Trained a retrieval system on the coach's actual books, course, talks and podcast, not generic AI advice
Built a router that tells a theory question from a real speech or presentation that needs feedback
Shipped it as chat, a live voice call, and video/audio speech analysis, in the coach's own voice
Made the engine brand-pluggable: swap the content and voice, the same system runs for the next coach

Result, Anyone can now ask the coach's real material a question, or submit a speech for feedback against their own framework, and get an answer in seconds, in their voice.

Read the full build ▸Build mine