Data Privacy and Ethics in Digital Marketing Training Course

Participants can map customer data from collection points to downstream recipients.

• Data inventory fields: purpose, source, category, owner and retention
• Map website, app, CRM and advertising-platform data movements
• Identify controllers, processors, joint controllers and independent third parties
• Separate first-party, second-party and third-party marketing data sources
• Record identifiers, inferred attributes, sensitive data and pseudonymous data
• Data-flow diagrams expose hidden transfers through tags and integrations

Participants can select and document an appropriate basis for marketing processing.

• GDPR lawfulness, fairness and transparency applied to campaign design
• Purpose limitation prevents incompatible reuse of collected customer data
• Data minimisation tests fields requested by forms and landing pages
• Accuracy controls for CRM profiles, suppression lists and preference records
• Storage limitation schedules align campaign data with defined purposes
• Choose consent, legitimate interests or contractual necessity using documented criteria

Participants can design consent and preference controls for direct marketing channels.

• Consent validity: freely given, specific, informed and unambiguous agreement
• Granular choices separate email, SMS, calls, profiling and partner sharing
• Double opt-in records strengthen evidence for email subscription consent
• Preference-centre architecture supports channel, topic and frequency selections
• Suppression-list controls prevent marketing after objections and unsubscribe requests
• PECR and ePrivacy rules shape electronic marketing contact decisions

Participants can assess tracking deployments and configure privacy-respecting controls.

• Cookie taxonomy distinguishes strictly necessary, analytics, functional and advertising cookies
• Tag inventories identify pixels, SDKs, scripts and server-side tracking
• Consent-management platforms control non-essential technology before activation
• Audit tag-manager configurations against approved vendors and stated purposes
• Server-side tagging changes data disclosure, retention and processor responsibilities
• Cookie banners tested for rejection parity, clarity and recorded choices

Participants can create clear customer-facing explanations of marketing data practices.

• Layered privacy notices present essential information at collection points
• Just-in-time notices explain unexpected fields, profiling and location collection
• Draft purpose statements using plain language and operational specificity
• Disclose recipients, transfers, retention periods and customer rights accurately
• Form design aligns requested data with stated campaign purposes
• Notice testing identifies misleading omissions, dark patterns and unreadable language

Participants can assess profiling and personalisation against privacy and fairness requirements.

• Segmentation models separate observed behaviour from inferred customer attributes
• Profile data categories by sensitivity, accuracy, impact and source
• Assess meaningful information requirements for significant automated decision-making
• Personalisation boundaries prevent intrusive messaging and harmful inferences
• Frequency caps reduce repeated targeting and audience fatigue
• Document profiling purposes, inputs, logic categories and human review

Participants can evaluate targeting proposals for manipulation, exclusion and foreseeable harm.

• Ethical review questions test autonomy, fairness, beneficence and non-maleficence
• Identify vulnerable audiences through age, financial stress and health context
• Dark-pattern taxonomy identifies forced action, obstruction and deceptive framing
• Assess exclusion risks within lookalike audiences and eligibility criteria
• Choice architecture distinguishes helpful nudges from manipulative pressure
• Escalation thresholds address sensitive campaigns, vulnerable groups and high-impact offers

Participants can set heightened controls for sensitive marketing data and protected audiences.

• Special-category data requires explicit conditions beyond ordinary marketing permissions
• Health, financial, biometric and location signals create heightened targeting risks
• Age assurance approaches balance child protection, proportionality and data minimisation
• Children’s marketing reviews consider comprehension, pressure and parental involvement
• Sensitive-audience exclusion lists prevent inappropriate campaign inclusion
• Document safeguards, access restrictions and approval routes for high-risk data

Participants can identify privacy risks across programmatic advertising and measurement ecosystems.

• Programmatic advertising roles include publishers, DSPs, SSPs and data brokers
• Real-time bidding data disclosures assessed against transparency and minimisation principles
• Match keys, hashed identifiers and device IDs require documented controls
• Clean rooms change access patterns without removing privacy accountability
• Attribution models expose data-sharing choices across advertising partners
• Audience activation reviews verify permitted purposes, consent signals and exclusions

Participants can govern customer-profile assembly and activation within CRM and CDP environments.

• Identity-resolution rules link records while controlling false matches
• Golden-record design identifies authoritative sources and correction procedures
• CRM field governance restricts unnecessary collection and uncontrolled free text
• Customer-data platforms document ingestion, transformation, activation and deletion pathways
• Access roles limit campaign users to necessary profile attributes
• Data-quality monitoring detects stale preferences, duplicates and inaccurate inferences

Participants can assess marketing vendors before approving data access or transfers.

• Vendor due-diligence questionnaire covers purpose, security, sub-processors and retention
• Data-processing agreements define instructions, confidentiality and deletion obligations
• Review vendor privacy notices against proposed campaign data-sharing arrangements
• Assess agency access to CRM exports, advertising accounts and reporting data
• Sub-processor registers reveal onward transfers and service dependencies
• Exit plans address data return, deletion certification and account closure

Participants can identify transfer issues and regional obligations affecting marketing programmes.

• Cross-border transfer maps identify exporter, importer, hosting location and access
• Standard contractual clauses require transfer impact assessment and supplementary measures
• Regional campaign variants account for local consent and notice requirements
• CCPA and CPRA concepts cover sale, sharing and opt-out rights
• Global preference management prevents conflicting channel and regional permissions
• Document jurisdiction assumptions before launching multinational customer-data programmes

Participants can operationalise customer rights requests across marketing systems and suppliers.

• Rights-request workflows locate data across CRM, analytics and advertising platforms
• Access responses distinguish raw data, inferred data and audience membership
• Deletion requests trigger downstream erasure, suppression and vendor notifications
• Objection handling stops direct marketing without erasing necessary records
• Correction processes update source systems and propagate revised customer attributes
• Service-level controls track deadlines, identity verification and exception decisions

Participants can establish retention and deletion controls for marketing datasets.

• Retention schedules link marketing datasets to documented business purposes
• Define event triggers for inactive profiles, expired consent and campaign closure
• Deletion specifications cover production systems, backups and vendor-held copies
• Suppression records retain minimal evidence needed to honour objections
• Data-quality scorecards measure completeness, timeliness, accuracy and consent validity
• Archive decisions distinguish analytical value from ongoing personal-data necessity

Participants can embed privacy controls into campaign planning, build and launch processes.

• Campaign intake forms capture purpose, audience, data sources and channels
• Privacy-by-design checkpoints occur before build, launch and post-campaign review
• RACI matrices assign marketing, privacy, technology and vendor responsibilities
• Approval criteria distinguish standard campaigns from higher-risk processing activities
• Control libraries connect identified risks with owners, evidence and review dates
• Change-management records capture alterations to audiences, tags and purposes

Participants can complete a proportionate DPIA for higher-risk marketing processing.

• DPIA screening criteria identify systematic monitoring and sensitive-data processing
• Describe processing nature, scope, context and purposes with precision
• Necessity and proportionality tests challenge data fields and targeting logic
• Risk scoring considers likelihood, severity and affected customer groups
• Mitigation plans assign controls, owners, deadlines and residual-risk decisions
• Consultation routes involve data protection officers and relevant stakeholders

Participants can recognise, contain and escalate privacy incidents involving marketing data.

• Marketing incident scenarios include exposed lists, misdirected emails and rogue tags
• Containment actions suspend campaigns, revoke access and preserve relevant evidence
• Breach triage assesses personal-data exposure, sensitivity, volume and recipient access
• Incident logs record chronology, decisions, notifications and corrective actions
• Agency and vendor notification duties require tested contact and escalation paths
• Post-incident reviews strengthen campaign controls, training and approval criteria

Participants can measure the effectiveness of marketing privacy and ethics controls.

• Privacy KPIs track consent quality, rights-request completion and vendor review status
• Control testing samples campaign records, notices, tags and suppression outcomes
• Audit trails connect approvals with evidence, versions and accountable owners
• Dashboard design reports exceptions, overdue actions and recurring risk patterns
• Root-cause analysis separates process gaps, technology faults and capability issues
• Management reviews prioritise remediation based on customer impact and exposure

Participants can build, review and present a complete privacy and ethics plan for a digital marketing campaign.

• Define campaign objectives, audience, channels, data sources and accountable owners
• Map collection, profiling, sharing, retention and deletion across campaign lifecycle
• Select lawful basis, consent controls and customer-facing transparency measures
• Assess ethical risks involving fairness, vulnerability, manipulation and exclusion
• Complete vendor, transfer, DPIA and rights-management control requirements
• Present approval rationale, residual risks, mitigations and implementation actions