We merge CRM, web analytics, email, and sales data into a 360° customer profile; segmentation and personalization run from a single platform.
The critical topics this service addresses and the outcome we deliver in each.
We apply deterministic and probabilistic matching through identity resolution and consolidate data from all channels into a unified profile; the output is evidenced by a 360-degree profile set.
We track segment distribution and activation metrics against a baseline and target and report the effect of micro-segmentation on a measurement basis.
Data-source mapping, identity rules and activation integration are defined as contracted scope and acceptance criteria.
We configure central consent management, processing purposes and deletion-request propagation; access to real customer data is bound to owner approval.
How we phase the service across delivery, governance, and connected service pillars.
Data mapping: we map CRM, web, email, POS, mobile and social-media sources and derive the integration plan and identity-matching rules.
Segmentation design: we design rule-based and ML-driven dynamic segments and predictive models such as churn and CLV, and bind them to activation channels.
Compliance configuration: we automatically filter data use by consent preferences and embed KVKK compliance controls into the platform.
Illustrative surfaces where this service is commonly activated.
Organisations unable to form a single customer view because data sits across different systems.
Marketing teams that want to build persistent customer profiles based on first-party data.
Teams unable to scale personalisation because they update segments by hand.
This service's depth on sector-specific technical and compliance topics.
We unify different records of the same customer through deterministic and probabilistic matching based on email, phone, cookie and device ID.
Alongside static and dynamic segments we build predictive models such as churn and CLV and make micro-segmentation possible.
We connect email, ads, web personalisation and push channels via API push and webhook, and export CDP data to Power BI or Tableau.
Enterprise organizations accumulate customer data across CRM, marketing automation, transactional systems, web analytics, and support platforms without a unified identity layer that connects these records into a coherent customer view. The result is fragmented segmentation, inconsistent personalization, and an inability to accurately measure customer lifetime value or attribution. Our Customer Data Platform consulting service helps you design, implement, and operationalize a CDP that creates persistent, unified customer profiles and activates them across your full marketing and sales technology stack.
Improve quality indicators through baselines, acceptance criteria, and reviewed evidence
Turn the outcome into a measurable target with baseline, owner, and review cadence
Make cost and resource impact measurable against the agreed baseline and review cadence
The CDP engagement spans data strategy, platform selection, technical implementation, and activation program design. We begin with a customer data audit that maps all existing data sources, evaluates identity resolution quality, and identifies the highest-value activation use cases. From this foundation, we design and implement a CDP architecture that supports your immediate business requirements with a clear roadmap for advanced use cases.
Use case prioritization ensures CDP investment is justified by immediate business outcomes rather than theoretical data unification
Vendor scoring model provides objective justification for platform selection that withstands procurement and executive scrutiny
Turn the outcome into a measurable target with baseline, owner, and review cadence
The CDP consulting engagement delivers a production-ready unified customer data platform with documented data model, active source connections, configured identity resolution, and operational activation programs. All architecture decisions, data governance policies, and operational procedures are documented for long-term team ownership.
Production-ready platform with active data flows eliminates the all-too-common CDP implementation that stalls before activation
Documented data model enables future data engineers to add sources and destinations without reverse-engineering the architecture
Governance documentation satisfies DPO and legal requirements for GDPR Article 30 records of processing activities
A CRM manages known customer relationships, sales interactions, and deal pipeline for sales teams. A CDP collects and unifies behavioral event data from all digital touchpoints, resolves identity across anonymous and known profiles, and activates segments in real time across marketing channels. The CDP feeds enriched behavioral data into the CRM to give sales a more complete customer view, rather than replacing it.
A CDP enables first-party data strategy by centralizing consent-based data collection through your own domain, server-side event forwarding that does not depend on browser cookies, and identity resolution based on authenticated customer signals. This provides durable audience data that remains effective as browser-based tracking restrictions continue to tighten.
A foundational CDP implementation covering the top three to five data sources, basic identity resolution, and two to three activation destinations typically requires 12 to 16 weeks. This includes vendor selection, schema design, source integration, identity graph configuration, and first audience activation. Advanced use cases such as real-time personalization and predictive scoring are phased into subsequent sprints.
We implement Consent Mode v2 for Google platforms, configure the CDP to honor per-user consent flags for each processing purpose, and design data deletion workflows that propagate subject access and erasure requests from a consent management platform to all connected destinations. Privacy engineering is treated as a core architectural requirement rather than an afterthought.
We establish pre-implementation baseline metrics for the specific use cases the CDP is designed to improve, such as audience match rates, email click-through rates, or ad targeting CPL. Post-implementation measurement compares these metrics against baseline in 30, 60, and 90-day reviews. We also track operational metrics such as profile unification rate, event ingestion volume, and activation audience size to monitor platform health.
Yes. CDPs such as Segment, mParticle, and Adobe Real-Time CDP support sub-second profile lookup and audience membership evaluation via edge or server-side APIs. We integrate these APIs with your personalization engine, A/B testing platform, or custom application to deliver content, offers, and recommendations based on the unified customer profile in real time.
This short form routes your request to the right support team. We clarify context first, then define the safe sharing method.
Privacy-aware first contact; safe sharing flow when needed; no sales pressure.
