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Uncover insights, best practises and case studies.
Most RTCDP profiles run on less data than they could, and personalization suffers for it. We connect the customer data still missing from the profile, turn segments into treatment a customer actually notices, and close the loop between measuring a journey and acting on it.
Most enterprises running Adobe RTCDP have bought more of the platform than they're using.
The data. Web and app behavior usually make it into the profile. The warehouse, product or service data, and offline channels usually don't.
The personalization. Segments get built, then nothing downstream checks which one a customer is in, and everyone still gets the same generic message.
The activation. Journey Optimizer and Journey Analytics often sit half-attached, or not attached at all.
Composable architecture. We federate warehouse data instead of duplicating it, often the fastest way to unify a profile without a platform rebuild. That means decisions draw on the complete picture, not just whatever data happened to reach the profile first.
Real connections. We link RTCDP to the systems that carry your customer signal, and we make sure a segment actually reaches the systems that act on it. That's what turns a segment from something that exists on paper into something a customer experiences differently. If you build the segment and stop there, nothing downstream checks which one a customer is in.
CJA and AJO attached. We correctly attach Customer Journey Analytics so you can measure the journey, and Adobe Journey Optimizer so you can act on it. Measuring and acting stop being two separate systems and become one loop.
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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.
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.
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. That's what keeps a configuration from needing a rebuild the next time your use cases change.
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, so the audience ships without a new compliance review.
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. And that's what we fix first, not just document.
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's what lets an offer react to what a customer just did, instead of what they did in last week's batch job.
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 starting from zero on identity matching.

SVP of Platforms & Partner Growth, Americas
Owns Nortal's Adobe alliance strategy across the region, including how platform investments like RTCDP turn into long-term partner growth.

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.

Head of Data & AI, Americas
Leads Nortal's data and AI strategy across the region, with a focus on the governance frameworks that let AI initiatives scale safely.

Adobe Practice Director
Sets the direction for Nortal's Adobe practice.

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

Adobe Data & Insights Practice Lead
Leads the practice that turns a unified RTCDP profile into usable measurement.
Adobe Real-Time CDP unifies customer data into real-time profiles you can activate across channels. It supports a full spectrum of data composability, from full ingestion to full federation to a mix of both; so you can decide, deliberately, which data gets ingested into that profile and which stays federated in your warehouse. Get that split right, and you unify data from more systems without duplicating what's already governed elsewhere, activate a new use case in days instead of waiting on a new ingestion pipeline, and keep consent and identity governed in one place instead of twice.
It depends on how many source systems are in scope and how mature your warehouse data model already is, so we will not quote a single number here. What we can say: Adobe's own published data on Federated Audience Composition shows audience build-out moving from weeks to about a day once a warehouse connection is live, which is the kind of gap a scoped rollout closes. Most of our engagements land a first production use case in weeks, with the platform-wide rollout running in parallel.
No. Data composability, in this context, means your RTCDP instance can federate data from the warehouse you already run instead of ingesting a copy of everything. If you already have RTCDP, this is an extension of what you have, not a migration away from it.
Yes. Our engineers sit across the Americas, sharing enough time zone overlap to run real-time collaboration, and English is our working language across every region. That matters more on a project like this than on most, because the work spans roles that rarely sit in the same room: data engineers connecting the warehouse, platform architects configuring RTCDP, and marketers defining the audiences on top. Keeping that group in one time zone band and one working language cuts any handoff delay.
Real-Time CDP is one piece of a bigger data and analytics stack, and it only pays off when the rest of that stack pulls in the same direction. Adobe's data and analytics tools (RTCDP, Customer Journey Analytics, Adobe Analytics, and Audience Manager) are built to work as one system, feeding a single customer profile you can measure and act on in real time. We help you connect them so insight turns into action faster, and your data investment compounds instead of sitting in different corners of Adobe's stack. Explore Nortal's Adobe data and analytics services.
We build governance into the profile from day one, instead of bolting it on afterward. Consent and identity rules live at the profile layer, set once, rather than stitched together per campaign or region after a compliance review flags the gap. That same foundation is what makes a profile AI-ready: a federated, governed profile is what any personalization or agentic use case depends on, so governance done early isn't a compliance checkbox. It's what makes the AI investment safe to build on, and it matters even more as customer data crosses systems and borders, with regulations like the EU AI Act asking harder questions about how identity data gets used downstream.