V220 MARKETING AUDIT FRAMEWORK20 controlscomplete evidence review 10 stepsrepeatable audit workflow 8 scorespublished decision rubric 0 invented benchmarksevidence before conclusions
Digital Marketing Audit: Evidence Framework, Scorecard and Action Plan
A rigorous digital marketing audit framework for inventory, evidence, measurement integrity, risk scoring, accountable remediation and executive decision-making.
DIRECT ANSWER
What is a digital marketing audit?
A digital marketing audit is a structured, evidence-based review of strategy, customer journeys, media, content, data and optimisation against a declared mandate, customer journey, measurement specification, governance standard and remediation threshold. It determines whether cross-channel digital capability is supported by reliable artifacts, accountable ownership and observable progress toward validated learning, qualified demand and sustainable commercial outcomes. The audit does not treat activity, platform scores or traffic totals as proof. It produces findings, confidence levels, risks, priorities, owners and acceptance tests that can be independently reviewed.
Included
Objectives, audience evidence, journeys, offers, channels, campaigns, claims, destinations, accessibility, privacy, measurement, attribution, costs, technology, policy controls, ownership and remediation across strategy, customer journeys, media, content, data and optimisation.
Excluded
Undocumented opinions, universal score thresholds, invented industry benchmarks, automatic blame assigned to one channel, unsupported causal claims and any assumption that validated learning, qualified demand and sustainable commercial outcomes is guaranteed.
Primary output
A timestamped inventory, evidence register, scored findings, executive risk summary and capability audit, evidence portfolio and operating roadmap with accountable owners, dependencies, deadlines and verification tests.
Primary risk
Surface-level generalism, unverifiable claims and tool-led recommendations. The audit must expose this risk without letting a composite score hide material compliance, data-quality or customer-experience failures.
AUDIT MAP
The 20 controls in the Digital Marketing audit
Use the control map to define scope before reviewing performance. Each control requires evidence, a published score, an owner and a closure test.
| # | Control | What it tests | Minimum closure evidence |
|---|---|---|---|
| 1 | Audit mandate and decision rights | the business question, audit boundary, sponsor, decision owner and approvals that make the review actionable | Evidence, score, owner and acceptance test |
| 2 | Objectives and outcome hierarchy | the relationship between commercial objectives, customer outcomes, leading indicators and diagnostic activity | Evidence, score, owner and acceptance test |
| 3 | Audience and eligibility evidence | the proof used to define qualified people, organizations, segments and exclusions | Evidence, score, owner and acceptance test |
| 4 | Journey and intent mapping | the documented states, questions, friction points and handoffs across the customer decision process | Evidence, score, owner and acceptance test |
| 5 | Offer and value proposition | the evidence that the promised value is relevant, supportable, differentiated and matched to audience need | Evidence, score, owner and acceptance test |
| 6 | Channel role clarity | the assigned job of each paid, owned, earned, partner and lifecycle channel in the wider system | Evidence, score, owner and acceptance test |
| 7 | Campaign and asset inventory | the complete register of live, paused, evergreen and experimental assets, destinations and dependencies | Evidence, score, owner and acceptance test |
| 8 | Claims and message substantiation | the source, approval, qualification and expiry rules attached to material marketing statements | Evidence, score, owner and acceptance test |
| 9 | Destination experience and conversion path | the usability, relevance, speed, accessibility and continuity of the experience after attention is earned | Evidence, score, owner and acceptance test |
| 10 | Accessibility and inclusive operation | the controls that make content, interfaces and conversion paths perceivable, operable and understandable | Evidence, score, owner and acceptance test |
| 11 | Privacy, consent and data governance | the lawful basis, permission state, retention, minimization, access and deletion rules for data use | Evidence, score, owner and acceptance test |
| 12 | Measurement architecture | the event model, metric dictionary, data flow, quality checks and ownership supporting analysis | Evidence, score, owner and acceptance test |
| 13 | Conversion definition and deduplication | the specification that separates valid progress from duplicates, spam, accidental events and low-quality outcomes | Evidence, score, owner and acceptance test |
| 14 | Attribution and incrementality readiness | the controls that separate platform credit from causal contribution and baseline demand | Evidence, score, owner and acceptance test |
| 15 | Budget and total cost completeness | the inclusion of media, labor, tools, production, agency, compliance, opportunity and switching costs | Evidence, score, owner and acceptance test |
| 16 | Creative quality and fatigue control | the review of message clarity, variation, wear-out, accessibility, evidence and downstream quality | Evidence, score, owner and acceptance test |
| 17 | SEO and GEO discoverability | the crawlability, indexability, answer clarity, entity consistency, citation support and internal discoverability of useful content | Evidence, score, owner and acceptance test |
| 18 | Technology and integration health | the reliability, security, ownership and failure handling of platforms, feeds, pixels, APIs and workflow connections | Evidence, score, owner and acceptance test |
| 19 | Policy, brand safety and operational risk | the controls for platform rules, disclosures, placement suitability, fraud, escalation and incident response | Evidence, score, owner and acceptance test |
| 20 | Prioritization, roadmap and refresh cadence | the evidence-based sequence of fixes, accountable owners, deadlines, acceptance tests and review triggers | Evidence, score, owner and acceptance test |
01
AUDIT CONTROL 01
Audit mandate and decision rights in a Digital Marketing Audit
Audit lens
For the digital marketing audit, audit mandate and decision rights means the business question, audit boundary, sponsor, decision owner and approvals that make the review actionable. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test audit mandate and decision rights inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 01 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
02
AUDIT CONTROL 02
Objectives and outcome hierarchy in a Digital Marketing Audit
Audit lens
For the digital marketing audit, objectives and outcome hierarchy means the relationship between commercial objectives, customer outcomes, leading indicators and diagnostic activity. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test objectives and outcome hierarchy inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 02 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
03
AUDIT CONTROL 03
Audience and eligibility evidence in a Digital Marketing Audit
Audit lens
For the digital marketing audit, audience and eligibility evidence means the proof used to define qualified people, organizations, segments and exclusions. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test audience and eligibility evidence inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 03 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
04
AUDIT CONTROL 04
Journey and intent mapping in a Digital Marketing Audit
Audit lens
For the digital marketing audit, journey and intent mapping means the documented states, questions, friction points and handoffs across the customer decision process. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test journey and intent mapping inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 04 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
05
AUDIT CONTROL 05
Offer and value proposition in a Digital Marketing Audit
Audit lens
For the digital marketing audit, offer and value proposition means the evidence that the promised value is relevant, supportable, differentiated and matched to audience need. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test offer and value proposition inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 05 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
06
AUDIT CONTROL 06
Channel role clarity in a Digital Marketing Audit
Audit lens
For the digital marketing audit, channel role clarity means the assigned job of each paid, owned, earned, partner and lifecycle channel in the wider system. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test channel role clarity inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 06 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
07
AUDIT CONTROL 07
Campaign and asset inventory in a Digital Marketing Audit
Audit lens
For the digital marketing audit, campaign and asset inventory means the complete register of live, paused, evergreen and experimental assets, destinations and dependencies. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test campaign and asset inventory inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 07 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
08
AUDIT CONTROL 08
Claims and message substantiation in a Digital Marketing Audit
Audit lens
For the digital marketing audit, claims and message substantiation means the source, approval, qualification and expiry rules attached to material marketing statements. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test claims and message substantiation inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 08 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
09
AUDIT CONTROL 09
Destination experience and conversion path in a Digital Marketing Audit
Audit lens
For the digital marketing audit, destination experience and conversion path means the usability, relevance, speed, accessibility and continuity of the experience after attention is earned. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test destination experience and conversion path inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 09 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
10
AUDIT CONTROL 10
Accessibility and inclusive operation in a Digital Marketing Audit
Audit lens
For the digital marketing audit, accessibility and inclusive operation means the controls that make content, interfaces and conversion paths perceivable, operable and understandable. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test accessibility and inclusive operation inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 10 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
11
AUDIT CONTROL 11
Privacy, consent and data governance in a Digital Marketing Audit
Audit lens
For the digital marketing audit, privacy, consent and data governance means the lawful basis, permission state, retention, minimization, access and deletion rules for data use. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test privacy, consent and data governance inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 11 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
12
AUDIT CONTROL 12
Measurement architecture in a Digital Marketing Audit
Audit lens
For the digital marketing audit, measurement architecture means the event model, metric dictionary, data flow, quality checks and ownership supporting analysis. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test measurement architecture inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 12 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
13
AUDIT CONTROL 13
Conversion definition and deduplication in a Digital Marketing Audit
Audit lens
For the digital marketing audit, conversion definition and deduplication means the specification that separates valid progress from duplicates, spam, accidental events and low-quality outcomes. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test conversion definition and deduplication inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 13 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
14
AUDIT CONTROL 14
Attribution and incrementality readiness in a Digital Marketing Audit
Audit lens
For the digital marketing audit, attribution and incrementality readiness means the controls that separate platform credit from causal contribution and baseline demand. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test attribution and incrementality readiness inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 14 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
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AUDIT CONTROL 15
Budget and total cost completeness in a Digital Marketing Audit
Audit lens
For the digital marketing audit, budget and total cost completeness means the inclusion of media, labor, tools, production, agency, compliance, opportunity and switching costs. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test budget and total cost completeness inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 15 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
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AUDIT CONTROL 16
Creative quality and fatigue control in a Digital Marketing Audit
Audit lens
For the digital marketing audit, creative quality and fatigue control means the review of message clarity, variation, wear-out, accessibility, evidence and downstream quality. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test creative quality and fatigue control inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 16 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
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AUDIT CONTROL 17
SEO and GEO discoverability in a Digital Marketing Audit
Audit lens
For the digital marketing audit, seo and geo discoverability means the crawlability, indexability, answer clarity, entity consistency, citation support and internal discoverability of useful content. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test seo and geo discoverability inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 17 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
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AUDIT CONTROL 18
Technology and integration health in a Digital Marketing Audit
Audit lens
For the digital marketing audit, technology and integration health means the reliability, security, ownership and failure handling of platforms, feeds, pixels, APIs and workflow connections. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test technology and integration health inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 18 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
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AUDIT CONTROL 19
Policy, brand safety and operational risk in a Digital Marketing Audit
Audit lens
For the digital marketing audit, policy, brand safety and operational risk means the controls for platform rules, disclosures, placement suitability, fraud, escalation and incident response. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test policy, brand safety and operational risk inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 19 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
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AUDIT CONTROL 20
Prioritization, roadmap and refresh cadence in a Digital Marketing Audit
Audit lens
For the digital marketing audit, prioritization, roadmap and refresh cadence means the evidence-based sequence of fixes, accountable owners, deadlines, acceptance tests and review triggers. The reviewer must connect this control to cross-channel digital capability and the operating system of strategy, customer journeys, media, content, data and optimisation. The audit question is not whether activity exists, but whether the activity has a declared purpose, qualified audience, accountable owner, traceable evidence and a decision consequence. A control that cannot be tied to validated learning, qualified demand and sustainable commercial outcomes through a documented path should be classified as unverified, even when platform dashboards show high activity.
Evidence to collect
Collect dated artifacts that allow an independent reviewer to test prioritization, roadmap and refresh cadence inside Digital Marketing: inventories, exports, specifications, approvals, journey records, metric definitions, cost records, issue logs and owner confirmations. Every artifact should state its source, period, denominator, coverage and limitations. Evidence produced by digital leader, channel owners and analytics team should be reconciled with downstream records rather than accepted from a single interface. Missing provenance, screenshots without export context and totals without eligibility rules should lower confidence instead of being treated as proof.
Test and scoring rule
Test this digital marketing control by selecting representative records across channels, devices, audiences and lifecycle states, then comparing documented intent with observable implementation. Score 0 when no reliable evidence exists, 1 when evidence is fragmentary, 2 when the control is defined but inconsistently applied, 3 when implementation is repeatable with minor gaps, and 4 when the control is demonstrable, monitored and independently reviewable. Record exceptions separately so a strong average cannot hide material surface-level generalism, unverifiable claims and tool-led recommendations.
Remediation rule
If the Digital Marketing evidence fails, narrow the affected claim or decision, assign remediation to a named owner, define the artifact required to close the finding and set an acceptance test. Use capability audit, evidence portfolio and operating roadmap as the practical output for sequencing work. Critical compliance, data integrity, accessibility and customer-harm findings should block scaling. Lower-risk optimization findings can enter a bounded backlog, but only with a due date, dependency, verification method and explicit consequence if the issue remains open.
Acceptance rule: Close control 20 only when the finding, evidence, score, owner, remediation and verification result can be reviewed without relying on undocumented reviewer judgment.
SCORING MODELEvidence integrityCan another reviewer reproduce the finding from dated sources and explicit definitions? Use a 0 to 4 evidence score and retain the justification for the digital marketing review. Coverage completenessDoes the review include the material journeys, channels, assets, systems and owners inside scope? Use a 0 to 4 evidence score and retain the justification for the digital marketing review. Measurement reliabilityAre events, denominators, quality checks, attribution limits and downstream outcomes documented? Use a 0 to 4 evidence score and retain the justification for the digital marketing review. Experience qualityDo messages and destinations remain relevant, accessible, coherent and usable across devices and states? Use a 0 to 4 evidence score and retain the justification for the digital marketing review. Compliance and safetyAre consent, claims, disclosure, policy, fraud and escalation controls demonstrable? Use a 0 to 4 evidence score and retain the justification for the digital marketing review. Operational ownershipDoes every material control have an accountable owner, cadence and remediation path? Use a 0 to 4 evidence score and retain the justification for the digital marketing review. Decision usefulnessDoes the finding change a real decision, budget, control, test or sequence of work? Use a 0 to 4 evidence score and retain the justification for the digital marketing review. Remediation readinessAre priority, dependency, acceptance test, deadline and verification owner explicit? Use a 0 to 4 evidence score and retain the justification for the digital marketing review.
Score evidence quality without hiding critical failures
The digital marketing audit uses a 0 to 4 evidence scale for each dimension. A total score is only a summary. Any material consent, claims, accessibility, fraud, security or conversion-integrity failure remains visible as a blocking finding.
Transparent formula
weighted audit score = sum(dimension score × approved weight) ÷ sum(approved weights)
Publish weights before scoring Digital Marketing. Do not reverse-engineer weights to create a preferred result. Report confidence, missing evidence and blocking findings beside the total.
AUDIT WORKFLOW01 02 03 04 05 06 07 08 09 10
A 10-step process from mandate to verified remediation
Run the process in order so Digital Marketing findings remain reproducible, decision-relevant and connected to accountable action.
Define the mandate
For the digital marketing audit, Write the exact decision the audit must support, the included channels and properties, the excluded scope, the sponsor and the date by which action is required. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
Freeze the inventory
For the digital marketing audit, Create a timestamped register of campaigns, pages, assets, tools, accounts, integrations, data sources and owners so findings refer to a stable review set. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
Validate access and provenance
For the digital marketing audit, Confirm that evidence is accessible, attributable to a source, dated, complete enough for the decision and not dependent on screenshots without context. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
Build the evidence register
For the digital marketing audit, Record each claim, metric, control and artifact with its owner, denominator, time window, quality status and decision consequence. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
Map journeys and handoffs
For the digital marketing audit, Trace how qualified audiences move from discovery to evaluation, conversion, onboarding and retention, including failure states and ownership gaps. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
Test measurement integrity
For the digital marketing audit, Reconcile event definitions, deduplication, consent, platform reporting, analytics, CRM outcomes and downstream quality before interpreting performance. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
Evaluate execution and experience
For the digital marketing audit, Review messages, creative, targeting, destinations, accessibility, channel roles, operational cadence and customer-facing continuity. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
Score findings consistently
For the digital marketing audit, Apply the published scoring rubric to evidence strength, risk, impact, confidence and remediation effort rather than relying on reviewer preference. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
Prioritize the roadmap
For the digital marketing audit, Sequence critical control failures first, then high-confidence opportunities, dependencies and learning work, assigning owners and acceptance tests. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
Publish and refresh
For the digital marketing audit, Issue the findings register, executive summary, evidence appendix and action plan, then define dates and triggers for verification and re-audit. Connect the step to capability audit, evidence portfolio and operating roadmap, identify the accountable role within digital leader, channel owners and analytics team, and document any assumption that could change the conclusion.
PRIORITIZATION
Turn findings into an accountable action plan
Risk first
For Digital Marketing, address findings that could create customer harm, unlawful data use, misleading claims, inaccessible journeys, corrupted conversion data or uncontrolled spend before optimization work. Record severity, exposure, affected systems and the temporary control applied while the permanent fix is built.
Impact with confidence
Estimate potential decision impact separately from evidence confidence. A large hypothetical opportunity supported by weak evidence should enter a learning plan, not a forecast. High-confidence waste, duplication or ownership gaps inside strategy, customer journeys, media, content, data and optimisation can be prioritized sooner because the remediation consequence is clearer.
Dependencies and effort
Map technical, legal, creative, analytics, commercial and stakeholder dependencies. Small fixes that unlock reliable measurement may precede larger channel changes. The digital marketing roadmap should show sequence, owner, estimated effort range, blocked work and the acceptance test required to proceed.
Verification
Do not close a finding because a task was marked complete. Re-run the relevant test, retain the new artifact, compare the result with the original failure and record who verified it. Schedule a focused re-audit when changes to strategy, customer journeys, media, content, data and optimisation could invalidate the conclusion.
SOURCE REGISTER
Official and primary guidance used for audit context
These sources provide context for advertising claims, measurement, search quality, accessibility and governance. They are not endorsements, universal benchmarks or proof of FroggyAds performance.
- FTC advertising and marketing basics
- FTC online advertising guidance
- FTC endorsements and reviews guidance
- SBA marketing and sales guidance
- SBA market research guidance
- Google Ads budgeting guidance
- Google Analytics attribution guidance
- Google helpful content guidance
- Google SEO starter guide
- W3C WCAG 2.2
- IAB standards and guidelines
- FroggyAds official Telegram channel
Snapshot date: 2026-07-21. Recheck the relevant primary source before relying on a rule or platform requirement that may change.
FAQ
Digital Marketing audit questions
What is a digital marketing audit?
A digital marketing audit is a structured review of strategy, customer journeys, media, content, data and optimisation against a declared mandate, evidence standard, measurement model, governance requirements and remediation criteria. It identifies control gaps and decision risks rather than promising validated learning, qualified demand and sustainable commercial outcomes.
What should a digital marketing audit include?
It should include objectives, audience evidence, journeys, channel roles, campaigns, claims, destinations, accessibility, privacy, measurement, attribution, cost, technology, policy, ownership and a prioritized roadmap for digital leader, channel owners and analytics team.
How long does a digital marketing audit take?
Timing depends on scope, access, number of channels, data quality and stakeholder availability. Define the inventory and evidence requirements first, then estimate work from the actual review set instead of using a universal duration benchmark.
Which evidence is needed for a digital marketing audit?
Use dated source records, account exports, analytics definitions, campaign and asset inventories, journey maps, consent records, claim approvals, accessibility checks, cost data, ownership records and downstream quality evidence tied to capability audit, evidence portfolio and operating roadmap.
How is a digital marketing audit scored?
Publish a rubric before reviewing evidence. Score evidence integrity, coverage, measurement reliability, experience quality, compliance, ownership, decision usefulness and remediation readiness, then retain the reason for every score.
What is the difference between a digital marketing audit and a checklist?
A checklist confirms whether expected items were reviewed. A digital marketing audit also tests evidence, interprets risk, reconciles conflicting signals, scores findings, assigns priorities and defines acceptance tests for remediation.
Can a digital marketing audit guarantee better results?
No. An audit can improve visibility, control and decision quality, but market conditions, offer quality, execution, competition, platform behavior and measurement uncertainty prevent any guarantee of rankings, traffic, leads, conversions, sales or revenue.
How should findings from a digital marketing audit be prioritized?
Prioritize material compliance, data integrity and customer harm first. Then rank findings by expected decision impact, evidence confidence, dependency, effort, reversibility and the cost of leaving surface-level generalism, unverifiable claims and tool-led recommendations unresolved.
Who should own a digital marketing audit?
The sponsor should have authority to act, while evidence owners from digital leader, channel owners and analytics team validate facts and remediation. Reviewer independence, conflicts, access rights and final decision ownership should be documented before scoring begins.
How often should a digital marketing audit be repeated?
Set a scheduled cadence and trigger a focused re-audit after material changes to strategy, customer journeys, media, content, data and optimisation, tracking, privacy rules, channel mix, technology, ownership, customer behavior or business objectives. Verify closed findings before marking them complete.
SELF-SERVE MEDIA CONTROL
Apply audit discipline to paid media decisions
FroggyAds is a self-serve media-buying platform. Advertisers retain control of budget, targeting, creative, destination, measurement and optimization while using this digital marketing audit framework to make evidence, risk and remediation traceable.