Manage data composability with Adobe RTCDP

    We unify siloed profiles and federated audiences on Adobe RTCDP, so measurement, orchestration, and personalization all run on the same foundation.

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    Composable CDP strategy, built for what's next

    Real-Time CDP is built to unify customer data into one live profile. That only works if the profile actually pulls from every source it should: web and app behavior, but also the warehouse data, product signals, and channel context that make it useful.

    A composable data strategy gets you there in three moves:

    1

    Unify

    Real-time CDP

    Bring every signal into one live profile, without duplicating what already lives in your warehouse.

    2

    Measure

    Customer Journey Analytics

    See the journey across every channel on top of that same unified profile, not a separate dataset.

    3

    Orchestrate

    Journey Optimizer

    Act on what you just measured, in the moment, using the same profile the whole way through.

    AI-readiness and governance usually get bolted on after the fact. We build both in from day one:

    AI-ready by design

    A federated, governed profile is the foundation every personalization or agentic use case depends on. Skip it, and AI investment sits on top of the same silos it was meant to fix.

    Governance built in

    Consent and identity rules belong at the profile layer, set once, instead of stitched together per campaign or region. That matters more as data crosses borders and regulations like the EU AI Act ask harder questions downstream.

    What this looks like in your industry

    Every RTCDP instance runs into the same root problem: the profile doesn't reach far enough. Where that shows up, and what it costs you, depends on where your data actually lives.

    For high tech

    The signal that predicts churn already exists. It just never made it into the profile. Federate product usage and billing data from the warehouse, and RTCDP can act on it without a new ingestion pipeline.

    For manufacturing

    The customer view stops at the loading dock. The customer doesn't. Federate distributor, dealer, and plant data into RTCDP, and neither does the profile.

    Why unify first

    Every use case you build on RTCDP after this one depends on the profile underneath it. Get that right first, and three things follow:
    icon user cloud server

    Break down data silos across your existing systems without replacing what already works.

    icon user network

    Cut the time to activation by building identity resolution once instead of per campaign.

    icon user shield check

    Reduce compliance risk by governing consent and identity at the profile layer.


    Adobe Gold Solutions Partner, RTCDP Specialization

    Adobe Gold Solutions Partner badge. Specialized: Adobe AEM, Adobe Customer Journey Analytics, Adobe Real-Time CDP, Adobe Analytics

    3rd

    company globally to attain the RTCDP Specialization

    300+

    successful Adobe projects

    4

    official Adobe Specializations

    100+

    Adobe experts

    4

    official Adobe Specializations

    100+

    Adobe experts

    • Builders, not vendors

      A lot of partners will configure the platform you bought and hand it back. We stay, because the work that matters happens after go-live: the second and third use case, the warehouse connection nobody scoped in year one, the CJA and AJO attach that turns a data platform into a working system.

    • Backed by our Adobe Studio

      We hold four Adobe Specializations, have run more than 300 Adobe engagements, and staff our work with over 100 in-house Adobe experts, as a Gold Solutions Partner. That depth is why we can combine Adobe expertise with platform-agnostic data architecture, and why manufacturing and high-tech companies bring us in to build real personalization and scalable digital products on top of the RTCDP they already own.

    Composable CDP services

    Every engagement starts with the same question: for this dataset, does the business need it ingested, or is federation enough? Getting that answer right, use case by use case, is most of what these six services do.

    Composable CDP strategy design

    We map out the target state for your customer data before touching configuration: what stays in the warehouse, what gets ingested into RTCDP, and what gets federated on demand. That decision is most of what separates a CDP that works from one that just holds data. 

    RTCDP implementation and integrations

    Whether your instance needs a first real configuration pass or a rebuild around use cases that have changed since launch, we connect RTCDP to the systems that carry your customer signal: CRM, commerce, product telemetry, and the warehouses feeding all three. We scope the integration around the use case.

    Federated audience composition across your stack

    We help you build audiences directly from Snowflake, Azure Synapse Analytics, Microsoft Fabric, Databricks, Google BigQuery, Amazon Redshift, and more, without duplicating the underlying data into Adobe Experience Platform. Sensitive datasets, credit data, plant records, and health information stay where your security and compliance teams already trust them, and the audience gets built on top instead of around them. 

    Customer data platform advisory and consulting

    We assess where your RTCDP instance stands against the use cases your business needs. Most engagements turn up a licensed capability nobody activated, a dataset nobody connected, or both.

    Real-time unified customer profiles

    We reconcile identity across every source system feeding RTCDP, so a profile built from a warehouse query and a profile built from a web session resolve to the same customer, not two records that never meet. That reconciliation work is what makes "real time" mean something beyond the name of the license.

    Composable data strategy and identity resolution

    We build the identity layer once, at the profile level, so every new activation channel or AI use case draws on the same resolved identity instead of reinventing matching logic per project.

    The team behind your data foundation

    Pablo Larrosa

    Pablo Larrosa

    VP of Technology

    Owns the technical architecture across Nortal's data and platform engagements, including how we scope federation versus ingestion on every RTCDP build.

    Rubens Barrios

    Rubens Barrios

    Adobe Studio Leader

    Leads the team of Adobe practitioners who design and build composable CDP architecture day to day.

    Gonzalo Rusinol

    Gonzalo Rusiñol

    Adobe Practice Director

    Sets the direction for Nortal's Adobe practice.

    Alexis Artus

    Alexis Artus

    Adobe Data & Insights Practice Lead

    Leads the practice that turns a unified RTCDP profile into usable measurement.

    Ready to make your RTCDP investment work as one system?

    Get in touch with our experts
    Contact Card Anthony Brown

    Anthony Brown

    SVP of Platforms & Partner Growth, Americas

    Get in touch

    Frequently Asked Questions (FAQs)

    What is Adobe RTCDP, and how does it support a composable data strategy?

    How long does it take to unify customer profiles with federated audiences?

    Do I need to migrate off my existing platform to manage data composability this way?