Adobe Experience Platform implementation, done by people who shipped it before it had a name.

What we do with Adobe Experience Platform.

Adobe Experience Platform is the foundation under Real-Time CDP, Customer Journey Analytics, and Adobe Journey Optimizer. When AEP is shaped well, every application above it compounds. When AEP is shaped poorly, every application above it breaks in subtle, expensive ways.

We have been implementing Adobe products for 16 years. We have shipped AEP foundations across financial services, insurance, healthcare, retail, and B2B software. We work with companies that already bought the licenses and are stuck at 30% of capability, and with companies that are evaluating AEP for the first time.

Capabilities we deliver

• AEP foundation setup, including organization, sandbox strategy, and deployment patterns
• XDM schema design from the activation backwards, not from ingestion forwards
• Identity namespace strategy, deterministic and probabilistic stitching
• Dataset and source connector configuration
• Edge network configuration for real-time decisioning
• Profile lookup, segmentation, and activation flows
• Federated Audience Composition for warehouse-native deployments
• Privacy, consent, and data residency controls
• Migration from Tealium, Segment, Salesforce Data Cloud, and homegrown CDPs

Our approach.

We work in the production environment. We do not white-glove your data team. We document as we go, and we leave behind a stack your team can actually own.

Sandbox-first

Every new AEP capability lands in a development sandbox before it goes anywhere near production. We codify the promotion flow so that schema changes, audience definitions, and journey triggers move through the same gate, every time.

Activation-driven schema

Most AEP implementations design the XDM schema based on what is easy to ingest. The result is a schema rich in events and poor in usable attributes. We invert the order. We start from the activations the marketing team needs in 12 months. We design the schema backwards from those activations. The result is a schema where every field has a purpose.

Documented for handover

Every dataset has an owner. Every namespace has a definition. Every audience has a written use case. The team you have inherits a system they can extend, not a black box they have to call us about.

XDM schema design.

XDM is the data model that everything in AEP runs on. It is also the place most implementations make decisions that look small at week six and become catastrophic at month eighteen.

We approach XDM the way a database architect approaches an OLTP schema: with the read patterns in mind. The first session in any AEP engagement is a working session with the marketing and analytics teams to enumerate the audiences they will want to build, the journeys they will want to trigger, and the analyses they will want to run. The XDM schema is then designed to make those queries fast and those activations possible.

We have shipped XDM schemas for B2C, B2B, and B2P deployments. The patterns differ. The discipline does not.

Identity stitching.

Identity stitching is the foundation gap we see most often. Web ID, CRM ID, mobile device ID, and offline ID arrive at AEP as separate streams. Without a deliberate stitching strategy, they stay separate. The Real-Time Customer Profile fragments. The audiences a marketer builds end up addressing 60% of the people they intended to address.

We design the identity namespace strategy first. We map every source to a namespace. We define which identities are deterministic, which are probabilistic, and which require a third party to resolve. We then implement the stitching configuration in AEP, and we audit the profile collapse rates over the first 30 days of production data.

For most enterprises, the foundational identity stitching work takes 4 to 8 weeks. The compounding return runs for the next decade.

Edge network and activation.

The Adobe Experience Platform Edge Network is what makes real-time decisioning possible. It is also the layer that, when misconfigured, quietly degrades the personalization experience for every visitor on the site.

We configure the edge for performance. We co-locate edge data collection with the regions where the traffic actually lives. We tune the profile lookup to hit the cache, not the source of truth. We instrument the edge for observability, so that when something does drift, the team sees it before the marketing team does.

Activation across the Adobe ecosystem and your owned channels follows the same discipline. Every destination is a defined contract. Every audience that activates to a destination has a written purpose, an owner, and a measurable outcome.

Governance and compliance.

Enterprise data has rules. AEP gives you the controls to enforce them. We make those controls real.

We configure data usage labels at the dataset and field level. We map them to the activation paths that are allowed and the ones that are not. We implement consent flows that are honored at the profile layer, not at the application layer. We pin deployments to regions when residency requires it. And we set up the audit logging so that, when a regulator asks how a particular customer's data was used, the team can answer in minutes, not weeks.

We have shipped these patterns under HIPAA, GDPR, and India DPDP. We have done it for healthcare, financial services, and global retail.

Timelines and engagement model.

A typical AEP foundation engagement runs 12 to 16 weeks. A migration from a legacy CDP into AEP runs 16 to 24 weeks depending on the source system. A targeted optimization of an existing AEP deployment can run as short as 6 weeks.

We engage in three shapes:

• Implementation partner. We are the team that ships AEP from foundation to production.
• Optimization audit and rebuild. AEP is live but underused. We diagnose the gap and ship the fix.
• Embedded operator. A senior AEP architect inside your team for a defined window.

Every engagement starts with a 25-minute readout. We will tell you whether the work fits us before either side commits.