Customer 360

Unified customer intelligence.

cdp.claritas.io/customers/SC-4821

Unified customer profile

Sample enterprise segment

LTV$42,800

SegmentEnterprise

Score

92/100

Recent Touchpoints

Visited pricing pageWeb2 days ago

Downloaded whitepaperContent5 days ago

Attended webinarEvents2 weeks ago

Requested demoSales3 weeks ago

Signed contractSales1 month ago

SegmentsHigh-ValueProduct-LedEnterprise

Methodology

Our approach.

1

Data Source Audit & Identity Resolution Strategy

We catalogue every customer-touching system in your technology estate, assess identifier overlap and data quality, and design an identity resolution strategy that creates persistent customer IDs through deterministic and probabilistic matching — surviving email changes, device switches, and anonymous-to-known transitions.

2

CDP Architecture & Vendor Evaluation

We evaluate your requirements against composable CDP architectures (Segment, RudderStack, Snowplow) and enterprise CDP vendors (Salesforce Data Cloud, Adobe Real-Time CDP, mParticle) — providing a structured recommendation that accounts for your existing technology stack, team capabilities, and total cost of ownership.

3

Data Ingestion & Real-Time Event Processing

We implement event tracking across web, mobile, and server-side touchpoints — with a standardised event taxonomy, real-time streaming ingestion, and profile enrichment pipelines that update the Customer 360 within seconds of a behavioural event occurring.

4

Audience Segmentation & Activation

We build audience segmentation models — propensity scores, RFM tiers, lookalike audiences, and behavioural cohorts — and connect them to downstream activation channels: paid media platforms, email service providers, CRM systems, and personalisation engines — with frequency capping and suppression logic that protects customer experience.

5

Consent Management & Privacy Architecture

Consent signals are propagated in real time from your CMP to every downstream activation system — ensuring that opt-outs suppress data processing within the regulatory response window. We implement data subject request automation (access, erasure, portability) with full audit logging for DPA submissions.

1

Data Source Audit & Identity Resolution Strategy

We catalogue every customer-touching system in your technology estate, assess identifier overlap and data quality, and design an identity resolution strategy that creates persistent customer IDs through deterministic and probabilistic matching — surviving email changes, device switches, and anonymous-to-known transitions.

2

CDP Architecture & Vendor Evaluation

We evaluate your requirements against composable CDP architectures (Segment, RudderStack, Snowplow) and enterprise CDP vendors (Salesforce Data Cloud, Adobe Real-Time CDP, mParticle) — providing a structured recommendation that accounts for your existing technology stack, team capabilities, and total cost of ownership.

3

Data Ingestion & Real-Time Event Processing

We implement event tracking across web, mobile, and server-side touchpoints — with a standardised event taxonomy, real-time streaming ingestion, and profile enrichment pipelines that update the Customer 360 within seconds of a behavioural event occurring.

4

Audience Segmentation & Activation

We build audience segmentation models — propensity scores, RFM tiers, lookalike audiences, and behavioural cohorts — and connect them to downstream activation channels: paid media platforms, email service providers, CRM systems, and personalisation engines — with frequency capping and suppression logic that protects customer experience.

5

Consent Management & Privacy Architecture

Consent signals are propagated in real time from your CMP to every downstream activation system — ensuring that opt-outs suppress data processing within the regulatory response window. We implement data subject request automation (access, erasure, portability) with full audit logging for DPA submissions.

The average enterprise holds customer data across eleven or more disconnected systems — CRM, e-commerce platform, support tickets, email service provider, mobile app, data warehouse, and a cluster of point solutions accumulated through M&A.

Talk to an Expert

The result is that no single team has an accurate, current view of the customer, and every personalisation effort operates on stale, partial data. Organisations that build a governed Customer Data Platform eliminate the attribution gaps that inflate marketing costs, the identity fragmentation that degrades customer experience, and the consent management failures that create regulatory exposure. The commercial payoff is direct: higher marketing efficiency, improved retention economics, and the identity infrastructure required to activate AI-driven personalisation at scale.

Core Capabilities