Document Type: Architecture
Status: Active
Version: v1.1
Authority: Affiliate Brain (Operational Intelligence Layer)
Applies To: Historical campaign storage, cross-campaign learning, and future testing intelligence
Parent: Affiliate Brain Canon
Linked Canon: Affiliate Brain Campaign Review Protocol v1.0
Last Reviewed: 2026-03-15
Purpose
The MWMS Campaign Intelligence Archive stores the historical performance record of all affiliate marketing experiments conducted within the MWMS system.
The archive ensures that testing results, creative experiments, funnel changes, and campaign outcomes are permanently recorded.
This system prevents the loss of valuable marketing intelligence.
Every campaign test, whether successful or unsuccessful, must be recorded.
Scope
This architecture applies to:
• storage of historical affiliate campaign performance data
• cross-campaign intelligence preservation inside Affiliate Brain
• recording of creative, funnel, spend, and outcome data
• change tracking across campaign lifecycle adjustments
• learning capture for future launch, testing, and scaling decisions
This document defines the archive layer that preserves campaign history as reusable intelligence.
It does not govern:
• live campaign execution
• direct capital approval
• stage progression rulings by themselves
• velocity rulings by themselves
• real-time dashboard logic by itself
• direct override of campaign governance
Those remain governed by Affiliate Brain governance systems, Finance Brain, Stage Progression Protocol, and the relevant operational pages.
Definition / Rules
Architectural Role
The Campaign Intelligence Archive serves as the historical knowledge base for Affiliate Brain.
It enables the system to:
• review past campaign results
• identify performance patterns
• avoid repeating failed experiments
• refine future testing strategies
• improve creative development
The archive transforms campaign testing into long-term strategic intelligence.
Position in Affiliate Brain Flow
Offer Intake
↓
Offer Intelligence
↓
Market Context
↓
Tracking Governance
↓
Research Intelligence
↓
Authority & Narrative Intelligence
↓
Structural Signal Audit
↓
Intent Declaration
↓
Velocity Decision Engine
↓
Testing Definition Protocol
↓
Phase 4 – Structured Testing
↓
Stage Progression Protocol
↓
Controlled Scaling Protocol
↓
Campaign Review Protocol
↓
Campaign Intelligence Archive
Core Principle
All testing produces intelligence.
Campaign outcomes fall into three categories:
• profitable campaigns
• break-even campaigns
• failed campaigns
All three outcomes generate learning.
The Campaign Intelligence Archive captures these learnings for future analysis.
Archive Entry Requirement
An archive entry must be created whenever:
• a campaign completes initial testing
• a campaign reaches stage progression
• a campaign is terminated
• a campaign reaches profitable scale
Every meaningful test must have a record.
Campaign Record Structure
Each archive entry must include the following:
• Campaign Name
• Offer Promoted
• Traffic Source
• Campaign Type
Example campaign types:
• YouTube Ads
• Google Video Ads
• Google Display Ads
• Direct-to-VSL
• Advertorial → VSL
Testing Data
Archive entries must record:
• Test Budget
• Total Spend
• Clicks
• Views
• Primary Optimisation Signals
• High Intent Signals
• Revenue Generated
• Profit or Loss
Creative Data
Archive entries must include:
• Ad Hook
• Creative Format
• Ad Angle
• Ad Copy
• Creative Variations Tested
Funnel Data
Archive entries must include:
• Landing Page Type
• Bridge Page Used
• VSL Used
• Advertorial Used
• Funnel Structure
Campaign Outcome Classification
Campaigns must be classified as:
Successful Campaign
Characteristics:
• profitable
• stable signal ladder
• scalable traffic behaviour
Promising Campaign
Characteristics:
• strong signals
• near break-even
• requires optimisation
Failed Campaign
Characteristics:
• weak signals
• poor funnel behaviour
• negative ROI
Change Log Record
Campaign entries must include a change log.
Example:
• initial campaign launch
• creative update
• hook variation
• audience change
• landing page modification
• bid strategy adjustment
Each change must record:
• Date
• Change description
• Observed result
Learning Summary
Each archive entry must include a learning summary.
Example learning categories:
• Hook performance
• Audience response
• Funnel friction
• Trust signal issues
• Offer mismatch
• Creative angle insight
Intelligence Utilization
The archive must be reviewed before:
• launching new campaigns
• creating new hooks
• testing new offers
• scaling campaigns
Historical intelligence improves future campaign decision quality.
Drift Protection
The system must prevent:
• repeating previously failed strategies
• ignoring historical campaign results
• launching campaigns without reviewing relevant archive intelligence
Architectural Intent
The Campaign Intelligence Archive transforms affiliate marketing testing into a compounding knowledge system.
Every campaign increases the intelligence capability of the MWMS ecosystem.
Over time this archive becomes one of the most valuable assets in Affiliate Brain.
Final Rule
A campaign is not fully complete until its intelligence has been preserved.
Performance without recorded learning is wasted system value.
Change Log
Version: v1.1
Date: 2026-03-15
Author: MWMS HeadOffice / Affiliate Brain
Change: Rebuilt page to align with the locked MWMS document standard for this cleanup pass. Preserved the original purpose, architectural role, flow position, core principle, archive-entry requirement, campaign record structure, testing data, creative data, funnel data, outcome classification, change-log record, learning summary, intelligence utilization, drift protection, and architectural intent. Added Document Type, Applies To, Scope, Definition / Rules structure, Final Rule, and Last Reviewed format.
Version: v1.0
Date: 2026-03-07
Author: Affiliate Brain
Change: Initial creation of MWMS Campaign Intelligence Archive defining campaign intelligence storage including campaign performance data, creative testing results, funnel testing records, change-log tracking, and learning summary capture.
END – MWMS CAMPAIGN INTELLIGENCE ARCHIVE v1.1