Document Type: Protocol
Status: Active
Version: v1.2
Authority: MWMS HeadOffice
Applies To: Ads Brain Google Ads campaign strategy and operational execution guidelines
Parent: Ads Brain Canon
Last Reviewed: 2026-03-17
Purpose
The Ads Brain – Google Ads Playbook defines how Google Ads campaigns are designed, tested, evaluated, and scaled within the MWMS ecosystem.
Google Ads represents one of the primary traffic acquisition platforms used by Ads Brain.
This playbook exists to ensure that campaign execution remains disciplined and aligned with Ads Brain experimentation systems.
Scope
This protocol applies to:
• Google Ads search campaigns
• YouTube video campaigns
• display network campaigns
• Performance Max campaigns
• Google Ads testing and optimisation workflows inside MWMS
This document focuses primarily on experimentation and campaign optimisation rather than platform setup.
It does not govern:
• offer viability approval
• capital allocation approval
• final survivability authority
• full Google Ads account setup procedures
• Finance Brain override
• Affiliate Brain structural approval
Those remain governed by Affiliate Brain, Finance Brain, HeadOffice, and related MWMS systems.
Definition / Rules
Platform Scope
This playbook applies to:
• Google Ads search campaigns
• YouTube video campaigns
• display network campaigns
• Performance Max campaigns
The playbook focuses primarily on experimentation and campaign optimisation rather than platform setup.
Relationship to Ads Brain Systems
Google Ads campaigns must follow the systems defined by Ads Brain.
Creative development follows:
Ads Brain – Creative Testing Workflow
Creative structure follows:
• Ads Brain – Hook Testing Framework
• Ads Brain – Creative Angle Matrix
Experiment results must be recorded in:
Ads Brain – Experiment Registry
Campaign evaluation follows:
Ads Brain – Campaign Review Protocol
Scaling decisions follow:
Ads Brain – Scaling Intelligence
Campaign Structure Principles
Campaign structure must remain simple and testable.
Recommended structure:
Campaign
↓
Ad Groups
↓
Ads
Each ad group should focus on a single intent cluster.
Campaign complexity should remain controlled so that performance signals remain interpretable.
Experimentation Framework
Google Ads includes built-in experiment tools that allow controlled testing.
Ads Brain uses experiments to test:
• creative variations
• bidding strategies
• audience targeting
• campaign structure
Experiments must isolate a single variable whenever possible.
Examples include:
Ad Variation Experiments
Test different ad creatives.
Custom Experiments
Split traffic between campaign versions.
Bidding Experiments
Test alternative bidding strategies.
Audience Experiments
Test audience signals and targeting expansion.
Performance Max Experiments
Evaluate automated campaign performance compared to structured campaigns.
Experiment Duration
Experiments must run long enough to collect meaningful data.
Short experiments risk generating misleading results.
Ads Brain must allow sufficient time for the platform to collect optimisation signals.
Learning Phase Awareness
Google Ads campaigns often enter a learning phase when:
• campaigns launch
• budgets change significantly
• bidding strategies change
• targeting changes
Frequent changes during learning phases can destabilise performance.
Ads Brain must avoid unnecessary changes while the platform is gathering optimisation data.
Creative Importance
Creative performance significantly influences campaign success.
Key creative signals include:
• click-through rate
• video watch behaviour
• engagement signals
Weak creative performance should trigger creative iteration rather than structural campaign changes.
Audience Signals
Google Ads may expand audience reach beyond initial targeting.
Ads Brain must monitor whether audience expansion improves or degrades performance.
Audience experiments may be used to test targeting variations.
Bidding Strategy Selection
Different bidding strategies influence how Google allocates traffic.
Common strategies include:
• manual CPC
• maximise conversions
• target CPA
• target ROAS
Bidding strategy must align with campaign objectives.
Testing alternative bidding strategies can reveal improved performance.
Campaign Review
Campaign performance must be reviewed using:
Ads Brain – Campaign Review Protocol
Key signals include:
• traffic delivery
• engagement behaviour
• conversion performance
• audience response
Campaign decisions must be data-driven.
Scaling Conditions
Scaling should occur only after campaigns demonstrate stable performance.
Scaling decisions follow:
Ads Brain – Scaling Intelligence
Common scaling methods include:
• increasing campaign budget
• duplicating campaigns
• expanding audiences
• expanding placements
Future Expansion
The Google Ads Playbook may eventually include:
• advanced campaign structures
• platform-specific creative strategies
• keyword intelligence systems
• automated reporting integrations
Final Rule
Google Ads campaigns must remain structured and testable.
Campaign decisions must follow Ads Brain experimentation systems rather than intuition.
Drift Protection
The system must prevent:
• campaign complexity becoming too high for signal interpretation
• changes being made too frequently during learning phases
• weak creatives triggering structural campaign rewrites before creative iteration is attempted
• bidding strategies being changed without objective alignment
• audience expansion being accepted without performance review
• Google Ads optimisation drifting into intuition-led management
Google Ads operations must remain disciplined, staged, and testable.
Architectural Intent
Ads Brain – Google Ads Playbook exists to turn Google Ads from a platform interface into a governed operating system inside MWMS.
Its role is to ensure that Google Ads campaigns are built, tested, reviewed, and scaled through structured experimentation rather than reactive editing, making performance more interpretable and capital use more disciplined over time.
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 Playbook” to “Active”, standardised title usage to “Ads Brain – Google Ads Playbook”, preserved the original playbook logic, platform scope, experiment structure, learning-phase handling, bidding guidance, review logic, and scaling conditions, and retained the document as a Protocol 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 Google Ads platform, experiment, learning-phase, bidding, review, and scaling sections, and preserved the original playbook logic and system relationships.
Version: v1.0
Date: 2026-03-13
Author: Ads Brain / MWMS HeadOffice
Change: Initial creation of Ads Brain – Google Ads Playbook defining Google Ads campaign structure, experimentation principles, learning-phase awareness, creative importance, bidding strategy guidance, review rules, and scaling conditions.
CHANGE IMPACT
Pages Created: None
Pages Updated: Ads Brain – Google Ads Playbook
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 – GOOGLE ADS PLAYBOOK v1.2