DATE

01/10/2026

Launching a SaaS product from

zero to £740K pipeline

Launching a SaaS product from zero to £740K pipeline

Launching a SaaS product from

zero to £740K pipeline

B2B

Pipeline

AI Systems

Services

Product Marketing
Demand Gen
Attribution & Reporting
AI Engines

Product Marketing
Demand Gen
Attribution & Reporting
AI Engines

Category

B2B SaaS

Client

TransferRoom

View Live Website

SNAPSHOT

£740K

£740K

£740K

Net-new pipeline in Q1 2026

90 days

90 days

90 days

From zero to launched

product

£65k

£65k

£65k

Attributable revenue
from inaugural event

12k

12k

12k

Sourced database contacts, (up from 1,500)

5

5

5

Case studies produced

Overview

Overview

A platform built on trust

TransferRoom is a B2B marketplace platform that empowers football clubs, agents and players to make informed decisions faster than ever with real-time market data, exclusive insights and direct access to a global network of 800+ clubs. As the business expanded beyond its core offering, it needed to enter new markets with products for finance and legal teams, without the brand recognition or sales playbook already in place for its original market.

TransferRoom is a B2B marketplace platform that empowers football clubs, agents and players to make informed decisions faster than ever with real-time market data, exclusive insights and direct access to a global network of 800+ clubs. As the business expanded beyond its core offering, it needed to enter new markets with products for finance and legal teams, without the brand recognition or sales playbook already in place for its original market.

Video poster image
Video poster image
Leadinggo-to-marketatTransferRoomtolaunchanewSaaSproductfromzero,buildingthepositioning,dataanddemandsystemsthatturneda90-daylaunchinto£740Kofpipeline.
Leadinggo-to-marketatTransferRoomtolaunchanewSaaSproductfromzero,buildingthepositioning,dataanddemandsystemsthatturneda90-daylaunchinto£740Kofpipeline.



The challenge

New market. No playbook.

TransferRoom was launching a fintech/legaltech product into a market where it had no prior credibility. The core challenges were:

  • Defining an ICP and segmentation for a product with no customer history

  • Identifying four new distinct personas and creating messaging and positioning for the distinct personas

  • Equipping sales to sell a product they’d never pitched

  • Launching in under 90 days

  • Gaining pipeline visibility when no multi-touch attribution existed

  • Running BAU demand generation while building GTM for two further products

TransferRoom needed more than a launch campaign. It needed a repeatable GTM system.



The AI customer success engine

Customer success that doesn’t wait to be asked

Pipeline gets a customer through the door. Retention and expansion decide whether the revenue stays. Customer success normally relies on individual reps remembering who to chase and what each account needed. We built an AI-powered system that replaced that guesswork with data.

An AI system that turns customer and product data into next actions for the CS team. It reads each account’s data alongside TransferRoom product usage, pinpoints where customers are stuck, and matches those bottlenecks to the product that solves them.

  • Live health dashboard showing every account’s status at a glance

  • Automated responses triggered by what each customer needs next

  • Rep prompts when an account goes quiet, with suggested outreach copy

AI drafts and flags. Your team decides and sends.

Pipeline gets a customer through the door. Retention and expansion decide whether the revenue stays. Customer success normally relies on individual reps remembering who to chase and what each account needed. We built an AI-powered system that replaced that guesswork with data.

An AI system that turns customer and product data into next actions for the CS team. It reads each account’s data alongside TransferRoom product usage, pinpoints where customers are stuck, and matches those bottlenecks to the product that solves them.

  • Live health dashboard showing every account’s status at a glance

  • Automated responses triggered by what each customer needs next

  • Rep prompts when an account goes quiet, with suggested outreach copy

AI drafts and flags. Your team decides and sends.



Pipeline gets a customer through the door. Retention and expansion decide whether the revenue stays. Customer success normally relies on individual reps remembering who to chase and what each account needed. We built an AI-powered system that replaced that guesswork with data.

An AI system that turns customer and product data into next actions for the CS team. It reads each account’s data alongside TransferRoom product usage, pinpoints where customers are stuck, and matches those bottlenecks to the product that solves them.

  • Live health dashboard showing every account’s status at a glance

  • Automated responses triggered by what each customer needs next

  • Rep prompts when an account goes quiet, with suggested outreach copy

AI drafts and flags. Your team decides and sends.





The strategy: Built to convert, not just to launch


The strategy:
Built to convert,
not just to launch


The strategy: Built to convert, not just to launch

The strategy: Built to convert, not just to launch

Fixing the whole engine

Rather than a one-off launch, we built infrastructure the sales team could rely on:

  • ICP and persona segmentation across four buyer personas

  • Messaging hierarchy and competitive positioning, with battlecards, sales decks and voice-of-customer documentation

  • ABM nurture sequences and closed/lost re-engagement flows

  • Personalised demos and A/B-tested Google and LinkedIn creative across every funnel stage

  • Data foundation: AI-powered enrichment, lead scoring and multi-touch attribution

  • Proof assets: six customer case studies produced in one quarter

Rather than a one-off launch, we built infrastructure the sales team could rely on:

  • ICP and persona segmentation across four buyer personas

  • Messaging hierarchy and competitive positioning, with battlecards, sales decks and voice-of-customer documentation

  • ABM nurture sequences and closed/lost re-engagement flows

  • Personalised demos and A/B-tested Google and LinkedIn creative across every funnel stage

  • Data foundation: AI-powered enrichment, lead scoring and multi-touch attribution

  • Proof assets: six customer case studies produced in one quarter

Rather than a one-off launch, we built infrastructure the sales team could rely on:

  • ICP and persona segmentation across four buyer personas

  • Messaging hierarchy and competitive positioning, with battlecards, sales decks and voice-of-customer documentation

  • ABM nurture sequences and closed/lost re-engagement flows

  • Personalised demos and A/B-tested Google and LinkedIn creative across every funnel stage

  • Data foundation: AI-powered enrichment, lead scoring and multi-touch attribution

  • Proof assets: six customer case studies produced in one quarter

Rather than a one-off launch, we built infrastructure the sales team could rely on:

  • ICP and persona segmentation across four buyer personas

  • Messaging hierarchy and competitive positioning, with battlecards, sales decks and voice-of-customer documentation

  • ABM nurture sequences and closed/lost re-engagement flows

  • Personalised demos and A/B-tested Google and LinkedIn creative across every funnel stage

  • Data foundation: AI-powered enrichment, lead scoring and multi-touch attribution

  • Proof assets: six customer case studies produced in one quarter





Does this create pipeline we can see & attribute?


Does this create pipeline we can see & attribute?




Does this create pipeline we can see & attribute?

Does this create pipeline we can see & attribute?



Services delivered

Services delivered



Services delivered

End-to-end ownership

  • Sales Enablement: ICP definition, persona segmentation, battlecards, sales decks, VoC documentation

  • Brand & Positioning: naming, value proposition, messaging hierarchy, product ecosystem positioning across three products

  • Demand Generation: ABM sequences, paid LinkedIn and Google (A/B-tested), re-engagement flows, event demand generation

  • Data & Attribution: AI data enrichment, lead scoring, multi-touch attribution, revenue dashboards

  • Content & Proof: six customer case studies (video and written), discovery interviews

  • Events: inaugural Finance Exchange, two panels, product spotlight

  • Operations & AI: AI productivity workflows across the marketing team; AI customer success system

Sales Enablement

Brand & Positioning

Demand Gen

Case studies

Operations

AI First Strategy

The results

The results

Commercial turnaround

“Measured. Attributable. Repeatable.”

  • £740K net-new pipeline in Q1 2026 from a £10K quarterly paid budget plus organic and content

  • £65K attributable revenue from the inaugural Finance Exchange

  • Contact database grown to 12,000 through AI enrichment and segmentation

  • First-time pipeline visibility for leadership via dashboards, lead scoring and multi-touch attribution

  • Six customer case studies in a single quarter, used for sales and to validate product-market fit

  • Master website template adopted as the company standard

  • Consistent MQL-to-SQL flow maintained during the launch through an always-on content and campaign engine


“Measured. Attributable. Repeatable.”

  • £740K net-new pipeline in Q1 2026 from a £10K quarterly paid budget plus organic and content

  • £65K attributable revenue from the inaugural Finance Exchange

  • Contact database grown to 12,000 through AI enrichment and segmentation

  • First-time pipeline visibility for leadership via dashboards, lead scoring and multi-touch attribution

  • Six customer case studies in a single quarter, used for sales and to validate product-market fit

  • Master website template adopted as the company standard

  • Consistent MQL-to-SQL flow maintained during the launch through an always-on content and campaign engine


“Measured. Attributable. Repeatable.”

  • £740K net-new pipeline in Q1 2026 from a £10K quarterly paid budget plus organic and content

  • £65K attributable revenue from the inaugural Finance Exchange

  • Contact database grown to 12,000 through AI enrichment and segmentation

  • First-time pipeline visibility for leadership via dashboards, lead scoring and multi-touch attribution

  • Six customer case studies in a single quarter, used for sales and to validate product-market fit

  • Master website template adopted as the company standard

  • Consistent MQL-to-SQL flow maintained during the launch through an always-on content and campaign engine



“Measured. Attributable. Repeatable.”

  • £740K net-new pipeline in Q1 2026 from a £10K quarterly paid budget plus organic and content

  • £65K attributable revenue from the inaugural Finance Exchange

  • Contact database grown to 12,000 through AI enrichment and segmentation

  • First-time pipeline visibility for leadership via dashboards, lead scoring and multi-touch attribution

  • Six customer case studies in a single quarter, used for sales and to validate product-market fit

  • Master website template adopted as the company standard

  • Consistent MQL-to-SQL flow maintained during the launch through an always-on content and campaign engine

Why this matters

Why this matters

The system is the win

The launch wasn’t a campaign. It was built through:

  • A clear ICP and sales-ready messaging before spend

  • Data and attribution that showed what actually drove pipeline

  • An always-on engine that kept running while new products were built

The launch wasn’t a campaign. It was built through:

  • A clear ICP and sales-ready messaging before spend

  • Data and attribution that showed what actually drove pipeline

  • An always-on engine that kept running while new products were built


The launch wasn’t a campaign. It was built through:

  • A clear ICP and sales-ready messaging before spend

  • Data and attribution that showed what actually drove pipeline

  • An always-on engine that kept running while new products were built

This is the same approach madefor applies to B2B founders: Fuel - Engine - Proof.

This is the same approach madefor applies to B2B founders:
Fuel - Engine - Proof.


This is the same approach madefor applies to B2B founders: Fuel - Engine - Proof.


Key takeaway


Key takeaway


Key takeaway

Pipeline follows structure

TransferRoom shows that a new product can reach meaningful pipeline in a quarter when ICP, messaging, data and sales enablement are in place before spend scales. This is what madefor does best: turning founder-led ambition into a pipeline system you can measure.

TransferRoom shows that a new product can reach meaningful pipeline in a quarter when ICP, messaging, data and sales enablement are in place before spend scales.

This is what madefor does best: turning founder-led ambition into a pipeline system you can measure.

TransferRoom shows that a new product can reach meaningful pipeline in a quarter when ICP, messaging, data and sales enablement are in place before spend scales.

This is what madefor does best: turning founder-led ambition into a pipeline system you can measure.

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