MWMS Promotion Impact Framework


Document Type: Framework
Status: Active
Version: v1.0
Authority: HeadOffice
Applies To: Affiliate Brain, Experimentation Brain, Data Brain, Finance Brain, Ads Brain
Parent: HeadOffice Growth Model Architecture Standard
Last Reviewed: 2026-04-25

Purpose

The MWMS Promotion Impact Framework defines how MWMS evaluates the true effect of promotions, discounts, and incentives on performance.

Its purpose is to prevent MWMS from misinterpreting revenue increases caused by incentives as genuine performance improvement.

Promotions can increase conversions.

Promotions can also:

• reduce profit
• weaken customer quality
• create dependency
• distort performance signals

This framework ensures MWMS separates real performance from incentive-driven behaviour.


Core Principle

Not all growth is real.

Growth driven by incentives must be evaluated differently from organic performance.

Promotions influence behaviour artificially.

MWMS must detect and control this influence.


Definition

Promotion impact refers to the effect of discounts, bonuses, or incentives on:

• conversion behaviour
• customer behaviour
• profitability
• long-term value


Core Question

This framework answers:

👉 Is this performance real or incentive-driven?


Promotion Impact Layers


1. Conversion Lift Layer

Tracks how much conversion increases due to incentives.

Signals may include:

• conversion rate increase
• click-through increase
• engagement spike


Purpose

• quantify immediate impact
• detect artificial uplift


2. Profitability Layer

Tracks whether increased conversions produce real profit.

Signals may include:

• margin
• cost vs payout
• break-even threshold
• ROI


Purpose

• ensure revenue growth does not reduce profit
• detect unprofitable promotions


3. Customer Behaviour Layer

Tracks how promotions affect customer behaviour.

Signals may include:

• repeat purchase behaviour
• discount dependency
• reduced willingness to pay full price
• lower engagement without incentives


Purpose

• detect behaviour degradation
• protect long-term customer value


4. Customer Quality Layer

Tracks whether promotion-driven customers differ from organic customers.

Signals may include:

• lower lifetime value
• weaker engagement
• higher refund or churn rates


Purpose

• identify low-quality acquisition
• prevent scaling poor customer segments


5. Sustainability Layer

Tracks whether performance persists without incentives.

Signals may include:

• drop in performance after promotion removal
• inability to maintain conversion without incentives


Purpose

• detect unsustainable performance
• validate true demand


6. Segment Impact Layer

Tracks promotion impact across segments.

Segments may include:

• traffic source
• audience type
• creative angle
• offer category


Purpose

• identify which segments are sensitive to incentives
• detect uneven impact


Promotion Classification


Real Performance

• conversion without incentives
• stable customer behaviour
• strong profitability
• consistent across time


Assisted Performance

• conversion improves with incentives
• profitability remains acceptable
• moderate behaviour impact


Distorted Performance

• conversion depends on incentives
• profit weak or negative
• behaviour degrades
• performance unstable


Unsustainable Performance

• performance collapses without incentives
• customer quality is poor
• profit is weak
• high dependency on promotion


Evaluation Workflow


Step 1 — Identify Promotion Use

Determine:

• whether incentives are present
• type of incentive
• magnitude of incentive


Step 2 — Compare Performance

Compare:

• with promotion vs without
• pre-promotion vs post-promotion


Step 3 — Measure Conversion Lift

Calculate:

• uplift percentage
• engagement change


Step 4 — Evaluate Profitability

Assess:

• margin
• ROI
• break-even


Step 5 — Analyse Behaviour

Check:

• repeat behaviour
• dependency
• engagement stability


Step 6 — Validate Data

Data Brain must confirm:

• signal integrity
• measurement accuracy
• attribution reliability


Step 7 — Classify Impact

Assign:

• Real
• Assisted
• Distorted
• Unsustainable


Decision Rules

MWMS must not:

• scale distorted performance
• scale unprofitable promotions
• rely on incentives without validation

MWMS may:

• use assisted performance cautiously
• test incentive strategies
• remove incentives to validate real demand


Scaling Rules

Scaling must be limited if:

• profit is weak
• customer quality declines
• performance depends on incentives

Scaling may increase if:

• performance remains strong without incentives
• profit is stable
• customer behaviour remains healthy


Cross Brain Use


Data Brain

Validates measurement and identifies signal distortion.


Experimentation Brain

Tests incentive impact and validates behaviour.


Affiliate Brain

Evaluates offer quality under promotion conditions.


Ads Brain

Executes campaigns and observes incentive effects.


Finance Brain

Controls capital allocation based on profitability.


HeadOffice

Determines strategic use of promotions.


Relationship To Other Frameworks

This framework connects to:

• Data Brain Customer Quality Tracking Framework
• Data Brain Performance Decomposition Framework
• Experimentation Brain Long-Term Impact Framework
• Affiliate Brain Offer Health Monitoring Framework
• HeadOffice Business Diagnostic Narrative Framework


Failure Modes Prevented

This framework prevents:

• scaling fake performance
• confusing revenue growth with profit growth
• damaging customer behaviour
• creating discount-dependent systems
• misreading incentive-driven results


Drift Protection

The system must prevent:

• promotion reliance becoming normal
• incentive-driven behaviour replacing organic demand
• profit erosion going unnoticed
• customer quality decline being ignored


Architectural Intent

Promotion Impact Framework ensures MWMS understands the difference between:

👉 real demand
and
👉 artificial demand

This protects long-term system health.


Final Rule

If performance depends on incentives:

→ it must not be treated as real performance


Change Log

Version: v1.0
Date: 2026-04-25
Author: HeadOffice


Change

Initial creation of Promotion Impact Framework based on transactional analysis insights related to discounting, margin control, and customer behaviour degradation.


Change Impact Declaration

Pages Created:
MWMS Promotion Impact Framework

Pages Updated:
None

Pages Deprecated:
None

Registries Requiring Update:
HeadOffice Framework Registry
MWMS Architecture Registry

Canon Version Update Required:
No

Change Log Entry Required:
Yes


End of Framework