Distinguish a customer data platform from a CRM and a data management platform by data type, identity and retention.
Marketing & Sales
Customer Data Platforms for Unified Marketing Segmentation
Explains how a customer data platform unifies first-party data for identity resolution, segmentation and activation, and how to govern it for consent-safe marketing.
🗓️Duration5 training days
📚Content4 modules · 8 sessions
🎓On completionAccredited attendance certificate
About the programme
Course Overview
Customer data is usually scattered across web, app, point-of-sale, CRM and support systems, so marketing teams often build segments on an incomplete or conflicting view of the same customer. This course explains what a customer data platform does differently from a CRM or a data management platform, then works through building one properly: mapping first-party data sources, applying identity resolution to match records into a single unified profile, building segments that combine behavioural, transactional and declared data, and activating those segments to advertising and messaging channels without manual list exports. It closes with governance for consent, retention and access, and a framework for evaluating build-versus-buy and composable-versus-packaged options. Teaching uses a data-source mapping exercise, an identity-resolution walkthrough and a segment-and-activation design task. Participants leave able to scope customer data platform requirements, design a unified segmentation approach and set governance rules before implementation begins.
Expected Learning Outcomes
Map first-party data sources, including web, app, point-of-sale and support systems, that a CDP would need to ingest.
Apply identity resolution methods to match records from different systems to a single unified customer profile.
Build audience segments from unified profiles using behavioural, transactional and declared data together.
Design activation flows that send segments to advertising, email and messaging channels without manual list exports.
Set governance rules for consent, data retention and access that keep a CDP compliant with privacy regulation.
Evaluate build-versus-buy and composable-versus-packaged CDP options against the organisation's data and technical maturity.
Who Should Attend
Marketing operations managers responsible for customer data infrastructure and segmentation.
CRM and lifecycle marketing managers building segments for personalised campaigns.
Data and analytics teams supporting marketing with unified customer data requirements.
Digital marketing leads evaluating a customer data platform for the first time.
Privacy and compliance officers reviewing how customer data is unified and activated.
E-commerce managers seeking a single customer view across web, app and in-store data.
Course Modules
Select any module to see its sessions and points.
01What a Customer Data Platform Does
2 sessions · 8 points
Session 1CDP, CRM and DMP Compared
- Distinguish a CDP's persistent, identity-based customer records from a DMP's anonymous, cookie-based audience segments.
- Compare a CDP's marketing-oriented unified profile with a CRM's sales and service transaction record.
- Identify which use cases, such as cross-channel segmentation, genuinely require a CDP rather than existing systems.
- Assess whether current data infrastructure already meets CDP-like needs before recommending a new platform.
Session 2Mapping First-Party Data Sources
- Inventory first-party data sources, including website, app, point-of-sale, email and customer support systems.
- Classify data types, such as behavioural, transactional and declared data, that each source contributes.
- Identify data currently siloed in systems that cannot share records with marketing or other channels.
- Prioritise which data sources to integrate first based on segmentation and activation value.
02Identity Resolution and Unified Profiles
2 sessions · 8 points
Session 1Matching Records to a Single Customer
- Apply deterministic matching, such as email or loyalty ID, to link records with high confidence.
- Apply probabilistic matching methods to link records lacking a shared identifier, while managing false-match risk.
- Resolve conflicting or duplicate records to build one unified profile rather than several partial views.
- Set rules for handling anonymous visitors who later identify themselves through login or purchase.
Session 2Data Quality and Profile Maintenance
- Set data quality checks that catch incomplete, outdated or contradictory fields entering unified profiles.
- Define a process for merging and un-merging profiles when identity resolution makes an incorrect match.
- Establish data retention rules so unified profiles do not retain data beyond its permitted or useful life.
- Monitor profile completeness over time to identify data sources that need better integration.
03Segmentation and Activation
2 sessions · 8 points
Session 1Building Segments from Unified Data
- Build behavioural segments, such as recent browsers or lapsed purchasers, from unified profile data.
- Combine declared preferences with behavioural and transactional data to build more precise segments than either alone.
- Design segments that update dynamically as customer behaviour changes rather than relying on static exports.
- Test segment definitions against a sample to confirm they capture the intended customers before activation.
Session 2Activating Segments Across Channels
- Configure activation flows that push segments directly to advertising platforms, email and messaging tools.
- Set suppression rules so customers who convert or opt out are removed from active campaigns automatically.
- Design real-time activation for time-sensitive triggers, such as cart abandonment, versus batch activation for scheduled campaigns.
- Audit activated segments periodically to confirm downstream channels are receiving accurate, current data.
04Governance and Platform Selection
2 sessions · 8 points
Session 1Consent and Privacy Governance
- Embed consent status into unified profiles so activation respects each customer's permitted use of their data.
- Set access controls that limit which teams can view or export sensitive customer data within the platform.
- Establish an audit trail for data access and segment activation to support privacy compliance reviews.
- Define a data subject access and deletion process that can locate and remove a customer's data across the platform.
Session 2Evaluating CDP Options
- Compare packaged and composable CDP approaches against the organisation's existing data warehouse and technical capacity.
- Assess build-versus-buy trade-offs based on internal engineering capacity and time-to-value requirements.
- Score vendor options against identity resolution accuracy, activation integrations and governance features.
- Plan a phased rollout that proves value on one use case before expanding a CDP across all channels.
What the participant receives
4 course modules
A structured syllabus
8 training sessions
across 5 days
32 detailed points
Applied, detailed content
Accredited attendance certificate
On completing the programme
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