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Digital Customer Data Platform

Deliver real-time, personalized experiences across digital channels


Build the best first party customer profile across digital channels and devices to drive customer engagement and activation.

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Allegro’s digital analytics team delivers results.  From pre-implementation planning to deployment and testing to user training and support, our skilled cross-functional team delivers results that enable you to achieve the full benefit of Celebrus’ powerful products. Efficiently, effectively and without any drama.

Faster time to benefit

Allegro implements the Celebrus customer data management platforms in 1/4 of the time required for comparative solutions. The inherent design advantages of the Celebrus platform, together with our team’s expertise, combine to get you up and running faster, with a minimum of business disruption. 

Experience and expertise

Our team has broad experience with all aspects of multi-channel digital analytics including data management, system integration, data visualization, and reporting.  We help you get the most from Celebrus products to ensure your success.

Flexible approach

Allegro adapts implementation, training and support to your particular needs. We’ll work with you to define success, obtain stakeholder buy-in, and establish milestones and metrics. Then we’ll create and execute a customized plan that meets your needs.


This first party data is captured whether a customer is a known individual or not. Data captured includes both behaviors exhibited such as which products they searched for and also experiencial data that might have influenced their decisions that they didn’t interact with such what star ratings were visible.

What is a Real-Time Customer Data Platform?

The Customer Data Platform (CDP) is a new component of the modern martech stack. A CDP builds comprehensive customer profiles and makes them available in real-time for activation by other technologies in order to create deep insight and orchestrate omnichannel engagement.

The Celebrus Real-Time CDP

Celebrus’ multi-patented technology has been capturing, transforming and delivering customer data for clients globally since 1999. Our ethos has always been understanding customers as individuals by capturing complete customer-level, not aggregated, data from across channels, devices and sessions. This first party data, which includes both behaviours exhibited e.g. products searched for and experiences e.g. star ratings visible, is captured whether a customer is a known individual or not. Celebrus transforms and enriches that data to create comprehensive customer profiles at scale, then delivers those profiles in real-time for activation. Tight integrations with leading customer insight technologies and engagement systems accelerate time to value and enable clients to maximise ROI on both Celebrus and their incumbent technologies.

Why choose the Celebrus CDP?

There are eight key reasons that clients choose to work with Celebrus:

  1. Data is first party reducing risk of using third party providers
  2. Customer profiles are stitched together across devices, channels and time
  3. Experiential as well as behavioural data is captured to create deeper insight
  4. Data is real-time to power personalisation and streaming analytics
  5. On-premise deployment gives complete data control to reduce risk 
  6. Tagging-free data capture slashes costs and increases agility
  7. Extensive and extendable data model enables nimble capture and delivery
  8. Integrations with leading technologies give fast time to value and maximise ROI

There are three key components Celebrus’ award-winning CDP:


  • Captures complex data from across channels, devices and time to build comprehensive view
  • Captures first party data about experiences as well as behaviours to understand context

  • Ingests data from other providers to deepen insight without the need to rip and replace

  • Captures the data in real-time to power real-time personalisation

  • Is tagging-free and never needs changing to slash effort and collection costs


  • Adds business context to raw data to reduce processing time and effort
  • Builds custom scenarios to create new "event" types to trigger other systems
  • Creates "lack of action" event types around user-defined criteria to act as system triggers
  • Enriches with data from external sources to deepen context
  • Structures data into an extensive data model that can be further extended to more data


  • Has pre-built ETL and data models to minimises data delivery effort and time
  • Delivers data to target solutions in real-time power real-time personalisation
  • Has deep integrations with leading technologies to maximise ROI on existing investments
  • Feeds both analytics and engagement systems in parallel with a single source of data truth
  • Enables complete data control to meet governance, security and compliance needs

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