Ads Brain Campaign Goal And Measurement Governance Framework

Document Type: Framework
Status: Active
Version: v1.0
Authority: Ads Brain Governed By MWMS HeadOffice
Applies To: Paid Media Campaign Goal Definition, Campaign Role Selection, Optimisation Objective Selection, KPI Hierarchy, Success Criteria, Commercial Measurement, Economic Boundaries, Evidence Sufficiency And Campaign Decision Governance
Parent: Ads Brain Canon
Last Reviewed: 2026-07-19

Purpose

The Ads Brain Campaign Goal And Measurement Governance Framework defines how MWMS establishes what a paid media campaign is intended to achieve, which signals matter, which metrics govern decisions, and how campaign success must be interpreted.

Campaigns often fail because platform settings, campaign goals, business goals and measurement logic are misaligned.

A platform may optimise successfully toward the wrong event.

A campaign may produce cheap actions that do not create qualified customers.

A reported ROAS may appear strong while real economic contribution remains weak.

A campaign may generate useful learning without being commercially successful.

This framework exists to prevent those failures.

Its purpose is to:

define campaign goals before launch
separate platform goals, campaign goals and business goals
establish campaign role
select the correct optimisation event
define primary and secondary metrics
distinguish diagnostic signals from outcome signals
distinguish conversions from qualified conversions
distinguish revenue from commercial contribution
distinguish reported platform value from economic value
establish break even and target performance boundaries
define success, failure, pause and insufficient evidence conditions
govern measurement confidence
align Ads Brain with Finance Brain, Data Brain, Experimentation Brain and Affiliate Brain
ensure campaigns are judged by the outcomes they were designed to produce

Scope

This framework applies to:

campaign goal definition
business goal definition
platform optimisation objective selection
campaign role selection
KPI hierarchy
primary metric selection
secondary metric selection
guardrail metric selection
pre conversion signal use
conversion measurement
qualified conversion measurement
commercial contribution measurement
economic value interpretation
conversion volume versus conversion value
break even CPA
target CPA
break even ROAS
target ROAS
allowable loss
evidence sufficiency
budget sufficiency
tracking confidence
attribution confidence
source of truth reconciliation
success criteria
failure criteria
pause criteria
decision records
review cadence
cross Brain measurement governance

This framework does not govern:

final capital approval
direct platform execution steps
experiment validity by itself
final scaling approval
offer approval
creative production
autonomous budget changes
autonomous optimisation changes
autonomous scaling
autonomous campaign closure

Those remain governed by Finance Brain, Experimentation Brain, Affiliate Brain, Ads Brain operating systems, Data Brain, Compliance Brain, Risk Brain, HeadOffice and related systems.

Definition / Rules

Core Principle

Every campaign must have one clearly defined purpose.

Campaign purpose determines:

campaign role
optimisation event
measurement hierarchy
evidence requirement
economic boundary
decision logic

A campaign must not be judged by whichever metric happens to look strongest.

Platform performance is useful only when it aligns with campaign and business goals.

Platform Goal, Campaign Goal And Business Goal

Platform Goal

The event or value signal the advertising platform is instructed to optimise toward.

Examples:

clicks
landing page views
video views
leads
purchases
conversion volume
conversion value

Campaign Goal

The operational result Ads Brain intends the campaign to produce.

Examples:

validate a creative concept
validate an offer
acquire qualified leads
acquire new customers
reactivate previous customers
increase profitable sales
build a high intent remarketing pool
test geographic expansion
test placement expansion

Business Goal

The commercial outcome MWMS or the operating business actually needs.

Examples:

profitable customer acquisition
positive contribution
qualified pipeline
recurring revenue
commission income
repeat purchase
acceptable cash return
durable growth

Alignment Rule

Platform Goal, Campaign Goal and Business Goal should be aligned wherever possible.

Where they are not identical, the difference must be documented.

Example:

Platform Goal:

Leads

Campaign Goal:

Qualified Lead Acquisition

Business Goal:

Profitable Customers

Cheap leads do not prove success unless they progress toward the business goal.

Campaign Role Definition

Every campaign must have one declared role.

Approved roles may include:

Creative Validation
Offer Validation
Audience Exploration
Prospecting
Scaling
Retargeting
Retention
Catalogue Delivery
Reactivation
Promotion Support
Brand Support
Pre Conversion Learning

Creative Validation

Primary objective:

determine whether a creative concept or execution generates meaningful behavioural and conversion evidence.

Primary measurement emphasis:

attention quality
engagement quality
intent progression
conversion opportunity
test validity

Commercial interpretation:

directional unless qualified conversion evidence is sufficient.

Offer Validation

Primary objective:

determine whether an offer creates qualified and commercially useful response.

Primary measurement emphasis:

qualified conversion
offer progression
customer quality
acquisition cost
commercial contribution

Audience Exploration

Primary objective:

determine which audience groups or discovery structures produce useful response.

Primary measurement emphasis:

audience fit
qualified conversion quality
customer quality
marginal acquisition
overlap
expansion potential

Prospecting

Primary objective:

acquire new qualified leads or customers.

Primary measurement emphasis:

qualified acquisition
new customer quality
commercial contribution
marginal economics
durability

Scaling

Primary objective:

increase commercially useful volume while preserving marginal economics.

Primary measurement emphasis:

marginal CPA
marginal ROAS
marginal contribution
customer quality
creative durability
cash exposure

Retargeting

Primary objective:

convert warm demand incrementally.

Primary measurement emphasis:

incremental conversion
frequency
recency
qualified conversion
attribution inflation risk

Retention

Primary objective:

increase repeat purchase, renewal, upsell or continued customer value.

Primary measurement emphasis:

repeat value
customer quality
renewal
margin
incremental contribution

Catalogue Delivery

Primary objective:

increase economically useful product discovery and purchase volume.

Primary measurement emphasis:

product level economics
margin
stock
conversion value
customer quality

Reactivation

Primary objective:

recover value from inactive leads or customers.

Primary measurement emphasis:

response quality
reactivation value
recency
contribution
consent

Promotion Support

Primary objective:

support time bound demand.

Primary measurement emphasis:

short term qualified conversion
margin impact
promotion duration
post promotion decay

Brand Support

Primary objective:

increase relevant awareness or consideration.

Primary measurement emphasis:

qualified reach
attention quality
branded search
assisted progression
audience quality

Pre Conversion Learning

Primary objective:

generate early behavioural evidence before conversion volume is available.

Primary measurement emphasis:

attention
engagement
interest
intent
progression
evidence confidence

Campaign Role Rule

Campaign measurement must reflect the declared campaign role.

A campaign must not be reclassified as successful merely because it performed well on an unrelated metric.

Measurement Hierarchy

Every campaign should define a measurement hierarchy.

Approved layers are:

Platform Delivery Metrics
Attention Metrics
Engagement Metrics
Intent Metrics
Progression Metrics
Conversion Metrics
Qualified Conversion Metrics
Commercial Metrics
Economic Metrics
Durability Metrics

Platform Delivery Metrics

Examples:

spend
impressions
reach
frequency
CPM
delivery status
placement mix
audience mix

Purpose:

describe delivery.

They do not prove persuasion or commercial success.

Attention Metrics

Examples:

thumb stop rate
video start
early hold
CTR
first frame response

Purpose:

diagnose whether the creative earns attention.

Engagement Metrics

Examples:

watch depth
scroll depth
replay
save
share
interaction depth

Purpose:

diagnose relevance and message continuation.

Intent Metrics

Examples:

CTA click
outbound click
pricing interaction
product detail view
offer exploration

Purpose:

diagnose action interest.

Progression Metrics

Examples:

form start
checkout start
booking start
application start
quiz start

Purpose:

diagnose movement toward conversion.

Conversion Metrics

Examples:

lead
sale
booking
application
purchase
registration

Purpose:

measure completion of the declared conversion event.

Qualified Conversion Metrics

Examples:

valid lead
accepted lead
attended booking
eligible applicant
approved sale
non refunded customer
suitable buyer

Purpose:

measure conversion quality.

Commercial Metrics

Examples:

gross revenue
net revenue
commission
sales accepted value
repeat revenue
contribution

Purpose:

measure business usefulness.

Economic Metrics

Examples:

contribution margin
refund adjusted value
cancellation adjusted value
fulfilment cost
support cost
acquisition cost
cash timing
repeat value
true profit contribution

Purpose:

measure financial value.

Durability Metrics

Examples:

stable marginal CPA
stable marginal ROAS
stable customer quality
repeatability
fatigue resistance
audience expansion stability
placement stability
cash safety

Purpose:

measure whether performance can continue or scale.

Primary, Secondary And Guardrail Metrics

Primary Metric

The metric that most directly reflects the campaign goal.

Secondary Metrics

Metrics used to diagnose why the primary metric improved or weakened.

Guardrail Metrics

Metrics that must remain inside acceptable boundaries.

Example:

Campaign Goal:

Qualified Lead Acquisition

Primary Metric:

Cost Per Qualified Lead

Secondary Metrics:

CTR, Form Start Rate, Lead Rate

Guardrail Metrics:

Lead Quality, Sales Acceptance, Refund Or Cancellation Risk, Tracking Confidence

Metric Selection Rule

A campaign should normally have:

one primary metric
a limited set of secondary metrics
explicit guardrail metrics

Too many equal priority metrics weaken decision clarity.

Optimisation Event Selection

The optimisation event should be:

relevant to the campaign goal
sufficiently frequent
reliably tracked
commercially meaningful
suitable for platform learning
not excessively delayed
not too shallow
not too rare

Optimisation Event Tradeoff

A shallow event may provide volume but weak business alignment.

A deep event may provide strong business alignment but insufficient volume.

Ads Brain must select the deepest reliable event that still allows meaningful learning.

Optimisation Event Ladder

Possible progression:

click
landing page view
content view
form start
lead
qualified lead
purchase
high value purchase
repeat purchase
customer value event

Optimisation Event Quality Rule

The cheapest event is not automatically the best event.

The deepest event is not automatically the best event.

The correct event balances:

business relevance
tracking quality
conversion volume
delay
platform learning
evidence sufficiency

Pre Conversion Signal Boundary

Pre conversion signals may support diagnosis and early learning.

They must not be treated as final success metrics unless the campaign goal is explicitly pre conversion learning.

High attention, engagement or intent may still produce:

weak qualified conversion
weak customer quality
poor commercial value
negative economic value

Conversion Versus Qualified Conversion

A conversion records event completion.

A qualified conversion records whether the conversion is useful.

Qualification may include:

eligibility
geography
buyer fit
attendance
sales acceptance
payment
refund status
cancellation status
product suitability
lead quality

Qualification Rule

Campaign success should not be declared from raw conversion volume where conversion quality materially affects business value.

Commercial Contribution

Commercial contribution measures whether campaign outcomes create useful business value.

Possible measures include:

commission
gross profit
net revenue
sales accepted pipeline
repeat revenue
booked revenue
contribution after direct costs

Commercial Contribution Rule

Revenue alone does not prove commercial quality.

Economic Value

Economic value should consider:

acquisition cost
fulfilment
refunds
cancellations
support burden
payment timing
repeat value
contribution margin
cash cycle
customer lifetime value where reliable

Finance Brain retains authority over economic interpretation.

Platform ROAS Boundary

Platform ROAS is a platform reported ratio.

It may be affected by:

attribution window
modelled conversions
view through conversions
duplicate claims
reported value quality
refunds
cancellations
margin
conversion lag

Platform ROAS must not be treated automatically as profitability.

Break Even And Target Performance Boundaries

Each commercially accountable campaign should define relevant boundaries.

Possible boundaries include:

break even CPA
target CPA
maximum allowable CPA
break even ROAS
target ROAS
minimum contribution
minimum qualified conversion rate
maximum refund rate
maximum cancellation rate
maximum acceptable cash delay
maximum approved loss

Break Even CPA

The acquisition cost at which the campaign produces no positive contribution after relevant costs.

Target CPA

The preferred acquisition cost required to create acceptable contribution or strategic value.

Maximum Allowable CPA

The highest acquisition cost permitted under the approved test or scaling boundary.

Break Even ROAS

The ROAS required to cover relevant costs.

Target ROAS

The desired ROAS required to produce the intended contribution.

Boundary Rule

Targets must be derived from real economics.

They must not be copied from external courses, competitors or platform recommendations without validation.

Conversion Volume Versus Conversion Value

Conversion Volume Optimisation

Focuses on the number of conversion events.

May suit:

similar transaction values
stable event quality
high need for learning volume
reliable conversion data

Risks:

low value conversion concentration
poor customer quality
weak margin
easy event bias

Conversion Value Optimisation

Focuses on reported value.

May suit:

meaningful value variation
reliable value tracking
sufficient conversion history
mature campaign data

Risks:

lower volume
value inflation
high revenue but low margin
customer concentration
poor cash timing

Value Selection Rule

The choice between volume and value should consider:

campaign role
business goal
value data quality
customer quality
margin
repeat value
refund risk
cash timing
conversion history

Budget Sufficiency

A campaign cannot generate meaningful evidence without sufficient budget.

Budget sufficiency should consider:

expected acquisition cost
expected qualified acquisition cost
number of creatives
number of audiences
number of placements
conversion rate
conversion lag
attribution lag
campaign duration
evidence requirement
allowable loss

Budget Insufficiency Indicators

too many variables share too little spend
too few conversion opportunities
one asset receives almost all delivery
the review window is shorter than conversion lag
the campaign cannot reasonably reach the required evidence level
the allowable loss is smaller than the planned test requires

Budget Rule

MWMS does not adopt one universal daily minimum budget.

Budget must be matched to:

goal
economics
test structure
evidence requirement
platform conditions
capital limits

Evidence Sufficiency

Campaign decisions should consider:

sample size
spend
conversion opportunity
result consistency
test duration
conversion lag
attribution lag
delivery distribution
tracking integrity
platform bias
commercial quality

Evidence Confidence States

Approved states are:

Insufficient Evidence
Observed
Directional
Repeated
Validated
Contradictory
Deprecated

Insufficient Evidence

The campaign has not generated enough reliable information.

Observed

A credible result appeared once.

Directional

The result suggests a likely pattern.

Repeated

The pattern appears across multiple relevant observations.

Validated

The result is strong enough for structured operational use.

Contradictory

Meaningful evidence conflicts.

Deprecated

The result is no longer current or reliable.

Evidence Rule

A campaign should not be classified as failed where it was structurally incapable of producing enough evidence.

Tracking Confidence

Tracking confidence should review:

event firing
deduplication
source of truth
offline conversion return
attribution window
conversion lag
value accuracy
customer identity matching
platform versus source variance

Tracking Confidence States

Untrusted
Weak
Directional
Reliable
Strong
Requires Revalidation

Attribution Confidence

Attribution confidence should consider:

click through attribution
view through attribution
cross device attribution
modelled conversions
duplicate claims
platform overlap
conversion delay
source of truth variance

Measurement Interpretation Rule

Weak tracking or attribution confidence reduces the strength of all campaign conclusions.

Source Of Truth Governance

Platform reports should be reconciled against available business sources.

Possible sources include:

CRM
ecommerce platform
payment processor
affiliate network
sales records
booking system
customer database
finance records

Source Of Truth Rule

The source that best reflects the actual business outcome should govern final interpretation.

Platform Reporting Boundary

Platform reporting is an optimisation and delivery view.

It is not automatically the final commercial truth.

Success, Failure, Pause And Insufficient Evidence Conditions

Success

A campaign may be classified as successful where:

the primary goal was met
guardrails remained acceptable
evidence is sufficient
tracking is trusted
commercial quality is acceptable
economic boundaries are met where required

Failure

A campaign may be classified as failed where:

evidence is sufficient
the primary goal was not met
major guardrails were breached
reasonable iteration or structural correction is unlikely to recover the result

Pause

A campaign may be paused where:

tracking is unreliable
budget is unavailable
evidence is contradictory
compliance risk exists
operational capacity is limited
the market condition is temporarily unsuitable

Insufficient Evidence

A campaign should be classified as insufficient evidence where:

budget was too low
conversion opportunity was too small
test duration was too short
delivery was concentrated
tracking was incomplete
attribution lag remains unresolved
platform underdelivery prevented learning

Decision Integrity Rule

Insufficient evidence is not the same as failure.

Learning Value

A campaign may fail commercially while still producing valuable learning.

Learning value may include:

strong creative concept
strong audience signal
offer rejection evidence
funnel friction evidence
customer quality evidence
placement evidence
geographic evidence
bidding behaviour evidence

Learning Value Rule

Commercial failure should not erase useful intelligence.

Useful learning should be recorded and routed to the relevant Brain.

Campaign Goal Record

Each campaign should record:

campaign name
platform
campaign role
business goal
campaign goal
platform goal
optimisation event
primary metric
secondary metrics
guardrail metrics
target audience
geography
offer
funnel
creative concept
budget
expected acquisition cost
expected qualified acquisition cost
break even CPA
target CPA
maximum allowable CPA
break even ROAS
target ROAS
minimum contribution
allowable loss
conversion lag
attribution window
tracking confidence
source of truth
evidence requirement
success condition
failure condition
pause condition
review cadence
decision authority
Brain routing

Campaign Measurement Record

Each campaign review should record:

reporting period
spend
impressions
reach
frequency
attention metrics
engagement metrics
intent metrics
progression metrics
conversions
qualified conversions
revenue
net revenue
contribution
economic value
refunds
cancellations
customer quality
average CPA
marginal CPA
average ROAS
marginal ROAS
tracking confidence
attribution confidence
evidence confidence
platform reporting variance
primary metric result
guardrail result
campaign classification
interpretation
next decision
review date

Campaign Goal And Measurement Scorecard

Score each category from 1 to 5:

business goal clarity
campaign goal clarity
platform goal alignment
campaign role clarity
optimisation event quality
primary metric quality
secondary metric usefulness
guardrail strength
conversion quality
commercial contribution clarity
economic boundary clarity
budget sufficiency
evidence sufficiency
tracking confidence
attribution confidence
source of truth quality
success condition clarity
failure condition clarity
pause condition clarity
decision readiness
overall measurement integrity

The scorecard supports judgement.

It does not replace judgement.

Review Cadence

Review cadence should reflect:

campaign role
spend rate
conversion lag
attribution lag
capital exposure
evidence requirement
operational risk

High spend or high risk campaigns require more frequent review.

Low volume or long lag campaigns require patience.

Review Cadence Rule

Campaigns should not be reviewed so frequently that normal volatility is mistaken for structural change.

Campaigns should not be reviewed so slowly that avoidable capital loss continues.

Decision Routes

Approved routes are:

Continue Testing
Iterate Creative
Review Audience
Review Offer
Diagnose Funnel
Change Optimisation Event
Adjust Measurement
Graduate
Scale Review
Pause
Retire

Continue Testing

Use where evidence is promising but insufficient.

Iterate Creative

Use where the campaign goal remains valid and creative execution requires refinement.

Review Audience

Use where buyer relevance or customer quality appears weak.

Review Offer

Use where intent exists but commercial response remains weak.

Diagnose Funnel

Use where attention and intent are strong but progression or conversion weakens.

Change Optimisation Event

Use where the selected platform event is too shallow, too deep, too rare or commercially misaligned.

Adjust Measurement

Use where the KPI hierarchy, source of truth or guardrails are incomplete.

Graduate

Use where the campaign or creative meets validation requirements.

Scale Review

Use where commercial and economic durability support controlled expansion.

Pause

Use where tracking, evidence, capital, compliance or operating conditions are unsuitable.

Retire

Use where further investment is unlikely to create acceptable results or useful learning.

Relationship To Ads Brain Pre Conversion Signal Framework

Pre Conversion Signal Framework interprets behaviour before conversion.

This framework defines whether those signals are primary, secondary or diagnostic within the campaign goal.

Relationship To Ads Brain Creative Signal Interpretation Framework

Creative Signal Interpretation Framework explains behavioural and commercial meaning.

This framework defines which meanings matter for the declared campaign purpose.

Relationship To Ads Brain Platform Intelligence

Platform Intelligence explains how platforms optimise toward supplied signals.

This framework governs which optimisation signal should be supplied.

Relationship To Ads Brain Cost Control And Bidding Governance Framework

Cost Control And Bidding Governance Framework governs bidding constraints.

This framework provides the goal, metric and economic boundaries required before those controls can be activated.

Relationship To Ads Brain Scaling Intelligence

Scaling Intelligence determines whether performance can expand.

This framework defines what successful performance means before scaling review.

Relationship To Ads Brain Audience Experimentation Framework

Audience Experimentation Framework governs audience testing and expansion.

This framework defines how audience performance should be measured against campaign and business goals.

Relationship To Finance Brain

Finance Brain governs:

economic truth
allowable acquisition cost
break even performance
target performance
contribution
capital exposure
cash safety

Relationship To Experimentation Brain

Experimentation Brain governs:

test validity
evidence hierarchy
comparison discipline
sufficient evidence
causal confidence

Relationship To Data Brain

Data Brain governs:

tracking integrity
measurement definitions
source of truth
attribution reconciliation
event quality
data consistency

Relationship To Affiliate Brain

Affiliate Brain governs:

offer eligibility
traffic permission
payout
commission quality
offer durability
program restrictions

Relationship To Customer Brain

Customer Brain governs:

customer quality
cohort quality
repeat value
refund behaviour
cancellation behaviour
customer lifetime value evidence

Relationship To Compliance Brain

Compliance Brain governs:

claims
platform policy
audience use
data use
regulated category requirements

Relationship To Risk Brain

Risk Brain governs:

capital exposure
platform dependency
measurement risk
account risk
operational risk

Relationship To HeadOffice

HeadOffice resolves:

cross Brain conflicts
strategic exceptions
high consequence measurement disputes
governance escalation

Failure Modes Prevented

This framework prevents:

campaigns launching without a clear goal
platform goals being mistaken for business goals
cheap clicks becoming the success metric
engagement being treated as commercial proof
raw conversions being treated as qualified outcomes
revenue being treated as contribution
platform ROAS being treated as profit
campaigns being judged by whichever metric looks best
shallow optimisation events producing weak buyer quality
overly deep optimisation events producing insufficient volume
arbitrary CPA and ROAS targets
insufficient budget being misclassified as failure
weak tracking supporting strong conclusions
attribution inflation being ignored
campaign role being ignored
success being declared without guardrails
commercial failure erasing useful learning
scaling occurring before success is defined

Drift Protection

The system must prevent:

campaign goals changing after results are seen
metrics being selected to justify a preferred conclusion
platform terminology becoming permanent business logic
one KPI being used across all campaign roles
pre conversion signals replacing commercial outcomes
conversion volume replacing conversion quality
reported value replacing economic value
external benchmarks replacing real unit economics
source of truth being ignored
insufficient evidence being classified as failure
tracking uncertainty being hidden
Finance Brain authority being bypassed
campaign measurement becoming detached from business purpose

Campaign measurement must remain goal aligned, evidence weighted, commercially grounded and economically governed.

Governance Boundaries

This framework does not authorise:

autonomous campaign launch
autonomous goal changes
autonomous optimisation event changes
autonomous KPI changes
autonomous budget changes
autonomous bidding changes
autonomous scaling
autonomous campaign closure
automatic MCR updates
technical development

Every material action remains subject to human review and the authority of the relevant Brain.

Dynamic Platform Boundary

Platform optimisation options, attribution models, reporting fields and feature names may change.

Operational playbooks may record current implementation.

This framework preserves durable goal and measurement governance.

Architectural Intent

The Ads Brain Campaign Goal And Measurement Governance Framework exists to ensure every paid media campaign is designed and judged against a clear purpose.

Its role is to connect:

Business Goal
↓
Campaign Role
↓
Platform Goal
↓
Optimisation Event
↓
Primary Metric
↓
Guardrail Metrics
↓
Commercial Contribution
↓
Economic Value
↓
Decision

Strong campaign measurement prevents platform activity from becoming disconnected from business value.

Clear goals improve testing.

Clear metrics improve interpretation.

Clear economic boundaries improve capital decisions.

Clear evidence rules improve trust.

MWMS therefore treats campaign goal and measurement design as a governance layer, not a reporting afterthought.

Version History

Version: v1.0

Date: 2026-07-19

Author: MWMS HeadOffice

Change:

Created Ads Brain Campaign Goal And Measurement Governance Framework using the strongest non duplicative campaign goal, measurement and business outcome intelligence absorbed from Sam Piliero The Facebook Ads Blueprint.

Added:

Platform Goal, Campaign Goal And Business Goal separation
Alignment Rule
Campaign Role Definition
role specific measurement logic
Measurement Hierarchy
Primary, Secondary And Guardrail Metrics
Metric Selection Rule
Optimisation Event Selection
Optimisation Event Tradeoff
Optimisation Event Ladder
Optimisation Event Quality Rule
Pre Conversion Signal Boundary
Conversion Versus Qualified Conversion
Qualification Rule
Commercial Contribution
Commercial Contribution Rule
Economic Value
Platform ROAS Boundary
Break Even And Target Performance Boundaries
Break Even CPA
Target CPA
Maximum Allowable CPA
Break Even ROAS
Target ROAS
Boundary Rule
Conversion Volume Versus Conversion Value
Value Selection Rule
Budget Sufficiency
Budget Insufficiency Indicators
Budget Rule
Evidence Sufficiency
Evidence Confidence States
Evidence Rule
Tracking Confidence
Attribution Confidence
Measurement Interpretation Rule
Source Of Truth Governance
Source Of Truth Rule
Platform Reporting Boundary
Success, Failure, Pause And Insufficient Evidence Conditions
Decision Integrity Rule
Learning Value
Learning Value Rule
Campaign Goal Record
Campaign Measurement Record
Campaign Goal And Measurement Scorecard
Review Cadence
Decision Routes
Cross Brain Relationships
Failure Modes Prevented
Drift Protection
Governance Boundaries
Dynamic Platform Boundary

Clarified:

platform goals, campaign goals and business goals are related but distinct
cheap actions do not prove commercial success
each campaign requires one clear role
the primary metric must reflect the campaign goal
pre conversion signals are diagnostic unless explicitly used for pre conversion learning
conversion does not prove qualification
revenue does not prove contribution
platform ROAS does not prove profitability
budget and evidence sufficiency must be assessed before failure is declared
campaign success requires both primary goal achievement and acceptable guardrails
source of truth outcomes govern final interpretation
commercial failure may still produce valuable learning

Pages Created:

Ads Brain Campaign Goal And Measurement Governance Framework

Pages Updated:

None

Pages Deprecated:

None

Registry Requiring Update:

Ads Brain Page Registry

Required Registry Change:

Add Ads Brain Campaign Goal And Measurement Governance Framework as an Active Ads Brain Framework at version v1.0 under Ads Brain Canon.

System Map Update Required:

Yes

Required System Map Change:

Add the framework between Ads Brain Platform Intelligence, Ads Brain Pre Conversion Signal Framework, Ads Brain Creative Signal Interpretation Framework, Ads Brain Cost Control And Bidding Governance Framework, Ads Brain Scaling Intelligence, Ads Brain Audience Experimentation Framework, Finance Brain, Experimentation Brain, Data Brain, Affiliate Brain, Customer Brain, Compliance Brain and Risk Brain.

Canon Version Update Required:

Change Log Entry Required:

Yes

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