Methodology

How I build a growth case study.

An anonymised walkthrough of a board-level growth strategy I prepared for a professional-services organisation. Client details are withheld; the method is the point.

Board-level objective: build a predictable commercial growth system that converts existing assets into qualified pipeline, booked meetings and revenue contribution — not isolated marketing activity.

Step 1 — Philosophy

Revenue before activity.

01

Commercial impact first

Every initiative must connect to demand, meetings, pipeline or revenue.

02

Revenue before activity

Volume is useful only when it improves qualified conversion.

03

Systems over campaigns

The goal is a repeatable operating engine, not one-off spikes.

04

Data-driven prioritisation

Effort follows signal quality, channel performance and sales feedback.

05

Continuous optimisation

Weekly reviews turn learning into better conversion.

Decision filter: does it create qualified demand? Does sales know how to convert it? Can CRM track and improve it? Can it scale without waste?

Step 2 — Business understanding

Convert the assets already in the business before adding complexity.

Strengths

What the business already owns: brand authority, methodology, credibility in its category.

Available assets

Existing CRM database, live paid activity on search and social, sales and CRM teams.

Commercial opportunity

Convert existing demand into qualified meetings before building new, lower-cost channels.

Areas to validate

Lead quality, CRM hygiene, sales follow-up speed, lead-stage definitions and channel ROI.

Step 3 — Prioritisation

Fix conversion first, then scale proven demand.

Do first

CRM activation, sales alignment, intent cleanup.

Build next

Executive roundtables, partnerships, account-based outreach.

Maintain

Content cadence.

Selective

New channel tests.

Step 4 — The growth engine

One revenue process from demand to revenue.

  1. Demand

    Marketing

    Paid search, social, content, partnerships.

  2. MQL

    Marketing + CRM

    Fit, engagement and intent signals.

  3. SQL

    CRM + Sales

    Decision-maker fit and buying context.

  4. Meetings

    Sales

    Booked commercial conversations.

  5. Pipeline

    Sales

    Opportunity creation and value tracking.

  6. Revenue

    Business

    Closed business and renewal potential.

Every stage needs an owner, a definition, a conversion measure and a feedback loop to sales.

Step 5 — Channel strategy

Rank channels by commercial job, not popularity.

1

CRM

Recover existing demand from accounts already in the database.

Fastest path to meetings when data is usable.

2

LinkedIn

Reach the specific decision-makers who own the problem.

Best B2B targeting precision.

3

Search

Capture active intent around the category.

High-intent demand capture.

4

Executive roundtables

Create senior conversations around the business issue.

Builds trust and consultative authority.

5

Strategic partnerships

Access associations, communities and adjacent ecosystems.

Low-cost credibility and referral reach.

6

Email

Nurture, reactivate and lifecycle-manage segmented leads.

Scales consistent follow-up.

Step 6 — Database activation

Turn a dormant CRM into managed commercial journeys.

  1. 1

    Segment

    Industry, size, seniority, engagement, source and last status.

  2. 2

    Score

    Fit, intent, engagement and decision-maker relevance.

  3. 3

    Automate

    Sequenced email and CRM tasks by segment.

  4. 4

    Reactivate

    Dormant and warm leads with relevant triggers.

  5. 5

    Generate meetings

    Route high-score accounts to sales with clear context.

  6. 6

    Lifecycle manage

    Nurture, recycle or advance based on response.

Commercial rule: no lead moves forward without a clear owner, next action, qualification reason and response deadline.

Step 7 — 30-day execution plan

Learn fast, activate existing demand, then optimise.

Week 1 — Diagnose

  • Audit CRM data quality
  • Review paid search and social activity
  • Map the sales follow-up process
  • Agree lead-stage definitions

Week 2 — Build

  • Segment the existing database
  • Create lead scoring logic
  • Draft CRM and email sequences
  • Build the priority account list

Week 3 — Launch

  • Start CRM reactivation
  • Run outreach to decision-makers
  • Optimise intent campaigns
  • Start partner and roundtable outreach

Week 4 — Optimise

  • Review MQL → SQL → meeting conversion
  • Remove weak segments and messages
  • Double down on channels producing meetings
  • Prepare the month-two scale plan

Output by day 30: a visible operating baseline, live CRM journeys, early meeting-generation evidence and a clear month-two scaling logic.

Step 8 — Weekly operating rhythm

Cadence keeps activity tied to pipeline.

Day 1

Pipeline & sales alignment

Lead quality, stuck opportunities and feedback from meetings.

Day 2

Campaign optimisation

Adjust channels based on intent, cost and meeting contribution.

Day 3

CRM activation

Segmentation, scoring, sequences and reactivation follow-up.

Day 4

Executive outreach

Account-based outreach, roundtable invitations, partnership conversations.

Day 5

Reporting

What moved, what failed, next actions and decisions needed.

Step 9 — Measurement

Manage by qualified pipeline, not vanity volume.

North-star KPI: qualified pipeline created, tracked weekly by source, segment and sales outcome.

  • MQL — fit and engagement
  • SQL — sales-accepted
  • Meetings — booked qualified calls
  • Pipeline value — opportunity amount
  • Win rate — sales conversion
  • Revenue — closed/won contribution
  • CAC — where cost data exists
  • Conversion rates — stage-to-stage health

Exact meeting, conversion and revenue targets are set after the week-one baseline review, then governed weekly.

The difference

Growth run as a commercial revenue system.

Typical approach

My approach

Activity volume

Commercial outcomes

Campaign execution

Revenue process ownership

Lead generation

Qualified pipeline creation

CRM as storage

CRM as activation engine

Marketing handoff

Marketing + sales operating rhythm

Reporting numbers

Diagnosing conversion and decisions

The difference is not effort. It is commercial discipline: every activity has a revenue logic, an owner and a next action.

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