Document Type: Specification
Status: Active
Version: v1.2
Authority: MWMS HeadOffice
Applies To: Ads Brain experiment prioritisation and testing sequence control
Parent: Ads Brain Canon
Last Reviewed: 2026-03-17
Purpose
The Ads Brain – Experiment Priority Engine defines how Ads Brain determines which advertising experiments should be executed first when multiple testing opportunities exist.
Advertising experimentation is limited by available capital, platform delivery constraints, and operational capacity.
The purpose of the Experiment Priority Engine is to ensure that testing resources are allocated to the experiments most likely to produce meaningful signal.
This system prevents random experimentation and protects capital efficiency.
Scope
This specification applies to:
• pre-launch experiment ranking
• testing-sequence control inside Ads Brain
• prioritisation of competing ad experiments
• structured allocation of testing attention
• ranking logic based on signal value, clarity, and strategic importance
This document governs how Ads Brain should decide which experiments deserve testing priority.
It does not govern:
• offer viability approval
• capital allocation approval
• final survivability authority
• live campaign decisions after launch
• Finance Brain override
• Affiliate Brain structural approval
Those remain governed by Affiliate Brain, Finance Brain, HeadOffice, and related MWMS systems.
Definition / Rules
Role Within Ads Brain
The Experiment Priority Engine operates before new advertising experiments are launched.
Workflow position:
Creative Ideation
↓
Experiment Proposal
↓
Experiment Priority Evaluation
↓
Experiment Launch
The engine determines which experiments receive testing priority.
Priority Evaluation Factors
Each proposed experiment should be evaluated across several dimensions.
Offer Potential
Experiments promoting offers with strong structural viability should receive higher priority.
Signals may include:
• strong opportunity classification
• high offer-creative compatibility
• clear mechanism explanation
• strong audience pain point
Creative Strength
Experiments using strong creative hypotheses should receive higher priority.
Signals may include:
• hooks aligned with the Hook Pattern Taxonomy
• clear creative narrative structure
• demonstration potential
• proven creative pattern reuse
Signal Clarity
Experiments that isolate clear variables should receive higher priority.
Clear tests produce faster learning.
Examples include:
• hook testing
• audience testing
• creative format testing
Experiments that modify many variables simultaneously should receive lower priority.
Learning Potential
Experiments capable of producing meaningful insight should receive higher priority.
Some experiments generate valuable intelligence even if they fail.
Learning potential improves the long-term intelligence of Ads Brain.
Capital Efficiency
Experiments requiring lower initial capital exposure may receive higher priority.
Capital-efficient experiments allow more ideas to be tested.
Budget constraints must remain aligned with Finance Brain rules.
Strategic Importance
Some experiments may support broader strategic goals.
Examples include:
• testing a new advertising platform
• testing a new audience segment
• testing a new creative format
Strategically valuable experiments may receive elevated priority.
Priority Classification
After evaluation, experiments may be assigned priority levels.
High Priority
The experiment has strong offer potential, clear variables, and strong learning value.
High-priority experiments should be executed first.
Medium Priority
The experiment has moderate potential but may require further validation.
These tests may run after high-priority experiments.
Low Priority
The experiment has weak hypothesis clarity or limited expected learning value.
These tests should be deferred.
Priority Review
Experiment priority should be reviewed periodically.
New information from:
• campaign performance
• creative intelligence
• platform behaviour
• offer lifecycle monitoring
may change experiment priority.
Relationship to Decision Engine
The Decision Engine determines campaign actions after experiments occur.
The Experiment Priority Engine determines which experiments should occur first.
Relationship to Experiment Registry
The Experiment Registry records all experiments and their outcomes.
Priority classifications may be stored alongside experiment entries.
Relationship to Finance Brain
Finance Brain governs capital exposure.
Experiment priority must remain consistent with budget constraints defined by Finance.
Relationship to Creative Systems
Creative intelligence generated from previous experiments may influence priority decisions.
Experiments based on high-performing creative patterns may receive higher priority.
Future Expansion
Future versions of the Experiment Priority Engine may include:
• weighted priority scoring systems
• AI-assisted experiment ranking
• automated budget allocation suggestions
• cross-campaign experiment comparison
Final Rule
Experimentation must remain disciplined.
Testing resources should always be directed toward the experiments most likely to produce valuable signal.
Drift Protection
The system must prevent:
• random experiment sequencing
• weak or vague tests consuming priority slots over clearer tests
• multi-variable experiments being treated as equally valuable to isolated tests
• capital-heavy experiments outranking cleaner, lower-risk learning opportunities without justification
• priority decisions being made from excitement instead of structured criteria
Priority must reflect signal value, not operator impulse.
Architectural Intent
Ads Brain – Experiment Priority Engine exists to make experimentation sequencing deliberate rather than opportunistic.
Its role is to ensure that Ads Brain directs finite testing capacity toward the experiments most likely to produce interpretable signal, reusable learning, and capital-efficient progress across the paid-traffic system.
Change Log
Version: v1.2
Date: 2026-03-17
Author: MWMS HeadOffice
Change: Standardised page metadata and naming to align with the locked MWMS standards pack. Normalised Status from “Operational Engine” to “Active”, standardised title usage to “Ads Brain – Experiment Priority Engine”, preserved the original pre-launch prioritisation logic, priority-factor model, relationship definitions, and disciplined-resource-allocation rule, and retained the document as a Specification under the locked MWMS document taxonomy.
Version: v1.1
Date: 2026-03-14
Author: MWMS HeadOffice / Ads Brain
Change: Rebuilt page to align with MWMS document standards. Added standardised document header, introduced Purpose / Scope / Definition / Rules structure, normalised priority-factor and classification sections, and preserved the original pre-launch prioritisation logic, relationship definitions, and disciplined-resource-allocation rule.
Version: v1.0
Date: 2026-03-13
Author: Ads Brain / MWMS HeadOffice
Change: Initial creation of Ads Brain – Experiment Priority Engine defining pre-launch experiment prioritisation, evaluation factors, priority classes, relationship to Finance and decision systems, and future ranking expansion.
CHANGE IMPACT
Pages Created: None
Pages Updated: Ads Brain – Experiment Priority Engine
Pages Deprecated: None
Registries Requiring Update:
• MWMS Architecture Registry
• MWMS Brain Registry
• MWMS Brain Interaction Map
• MWMS Canon Hierarchy Map
Canon Version Update Required: No
Change Log Entry Required: Yes
END – ADS BRAIN – EXPERIMENT PRIORITY ENGINE v1.2Ads Brain – Experiment Priority Engine