Document Type: Standard
Status: Active
Authority: HeadOffice
Applies To: All Brains
Parent: HeadOffice
Version: v1.0
Last Reviewed: 2026-04-18
Purpose
The HeadOffice Growth Model Architecture Standard defines the structural logic used by MWMS to understand, design, and optimise growth systems across the ecosystem.
It establishes a unified model showing how:
• acquisition systems
• activation mechanisms
• retention systems
• referral mechanisms
• revenue systems
interact to produce sustainable growth.
This standard ensures all Brains operate using a shared understanding of how growth is generated, measured, and improved.
It prevents isolated optimisation that harms system-wide performance.
It provides the structural map used by HeadOffice when prioritising investment, experimentation, and resource allocation.
Scope
This standard applies to:
• Affiliate Brain
• Ads Brain
• Conversion Brain
• Research Brain
• Experimentation Brain
• Content Brain
• Product Brain
• Sales Brain
• Partnership Brain
• Automation Brain
• AIBS Brain
• Finance Brain
This standard governs:
• growth system design
• growth modelling logic
• growth system interpretation
• optimisation prioritisation structure
• relationship between funnels and loops
• relationship between acquisition and retention
This standard does not govern:
• individual experiment design
• individual campaign structure
• individual KPI selection
• individual channel strategy
• creative execution decisions
These are governed at Brain level.
Definition
A Growth Model describes how an organisation produces sustainable expansion through structured interaction between acquisition, activation, retention, referral, and revenue systems.
A Growth Model is not a diagram alone.
It is a decision structure.
The model shows:
where growth originates
how growth compounds
where constraints exist
where experimentation should focus
how capital should be deployed
Core Components of the MWMS Growth Model
1. Acquisition Systems
Acquisition systems introduce new users, leads, or customers into the ecosystem.
Examples:
• paid media
• organic search
• partnerships
• referrals
• direct traffic
• email acquisition
• social acquisition
• affiliate traffic
• content discovery
Acquisition generates system input.
Acquisition alone does not create sustainable growth.
Acquisition must connect to activation and retention systems.
2. Activation Mechanisms
Activation represents the moment a user receives initial value from the system.
Activation confirms:
problem-solution alignment exists.
Examples:
• first purchase
• first meaningful interaction
• first successful outcome
• first perceived benefit
• first completed onboarding step
Weak activation reduces:
retention
referral
conversion efficiency
capital efficiency
Activation strength determines growth stability.
3. Retention Systems
Retention determines whether value delivery continues over time.
Retention converts one-time users into ongoing users.
Retention reduces dependence on constant acquisition.
Retention increases lifetime value.
Retention increases signal reliability for Experimentation Brain.
Examples:
• repeat purchases
• recurring usage
• subscription continuation
• repeat engagement
• habit formation
Retention is the primary driver of compounding growth stability.
4. Referral Mechanisms
Referral systems create new acquisition through existing users.
Referral increases growth efficiency.
Referral reduces marginal acquisition cost.
Referral increases trust-based conversion probability.
Referral mechanisms may include:
• natural word of mouth
• incentivised referral
• affiliate referral
• product-led referral
• content sharing loops
• community sharing loops
Referral effectiveness may be measured through:
viral coefficient
referral conversion rate
referral share frequency
Referral is not required for growth but significantly accelerates compounding growth.
5. Revenue Systems
Revenue systems capture financial value from the ecosystem.
Revenue enables reinvestment into:
experimentation
traffic acquisition
product improvement
system expansion
Revenue strength influences:
Finance Brain decision thresholds
capital allocation decisions
risk tolerance parameters
Revenue consistency increases system survivability.
Structural Interaction Model
Growth occurs through interaction between components.
Linear flow alone is insufficient.
Loops create compounding effects.
Funnels create directional movement.
MWMS recognises both structural patterns:
Linear structures
Loop structures
Both must coexist.
Linear Structures (Funnels)
Funnels represent directional progression through stages.
Example structure:
acquisition → activation → retention → revenue
Funnels are useful for:
initial momentum
diagnostic clarity
conversion optimisation
constraint identification
Funnels do not create compounding growth alone.
Funnels require continual input.
Loop Structures (Growth Loops)
Loops represent reinforcing cycles.
Output from one cycle becomes input for the next cycle.
Examples:
referral loops
content loops
paid optimisation loops
product usage loops
community loops
Loops reduce marginal acquisition cost over time.
Loops increase stability of growth systems.
Loops increase scalability of growth systems.
Loops require:
sufficient activation
sufficient retention
sufficient value delivery
Loops cannot operate effectively without strong foundations.
Growth Model Design Principles
Principle 1
Growth must be analysed systemically.
Local optimisation must not harm system performance.
Principle 2
Acquisition alone does not produce durable growth.
Retention determines compounding strength.
Principle 3
Loops increase efficiency but require initial momentum.
Linear channels often initiate loop activation.
Principle 4
Growth models must evolve over time.
Early stage models prioritise:
validation
signal clarity
constraint discovery
Later stage models prioritise:
efficiency
scalability
capital efficiency
Principle 5
Growth models must remain interpretable.
Over-complex models reduce decision clarity.
Models should prioritise:
clarity
usability
decision support capability
Relationship to MWMS Brains
Experimentation Brain
tests improvements within growth model components
Research Brain
identifies potential growth mechanisms
Affiliate Brain
introduces monetisation opportunities into model structure
Conversion Brain
optimises activation and revenue transitions
Ads Brain
drives acquisition system performance
Finance Brain
controls capital exposure based on model reliability
HeadOffice
prioritises leverage points within model structure
Relationship to Growth Levers
Growth Levers identify:
which part of the growth model should be prioritised for improvement.
Growth levers are selected based on:
constraint strength
impact magnitude
improvement feasibility
Growth levers operate inside the Growth Model Architecture.
Governance Rule
All growth optimisation activity must identify:
which component of the growth model is being improved.
Unmapped optimisation activity is not permitted.
Version Control
v1.0
Initial structural definition of MWMS Growth Model Architecture Standard.
Integrates funnel and loop structural logic into HeadOffice decision layer.