How Adobe Experience Platform and applications work together

Adobe Experience Platform is the shared data and decisioning foundation that powers Real-Time CDP, Adobe Journey Optimizer, Customer Journey Analytics, and Adobe Marketing Campaign Analytics (formerly known as Adobe Mix Modeler). When these applications share one profile, one set of data rules, and one event model, your teams stop rebuilding the same data pipelines and start reaching customers faster, with governance built in. This page explains how each part fits together.

NOTE
This topic is an overview. For how-to steps, user interface actions, and API details, see Additional resources.

Who should read this topic who-should-read

Use this table to see whether this topic matches your role.

Your role
Primary questions
How this topic helps
Business and marketing leaders
What value do I get from Experience Platform and applications together?
Connect customer and brand goals to Experience Platform features and applications. Use the same words as your technical teams.
People in marketing operations, analytics, or customer experience
How do you run campaigns and journeys, and how does data line up?
See where data comes together, where choices are made, and which application fits which step.
Architects, engineers, and developers
How do I make the applications work reliably at scale?
Use the same simple model and terms as the rest of Experience League when you design or build.
Analysts and data practitioners
How do you answer questions and find opportunities to activate?
See how analysis on Experience Platform data connects to audiences and journeys.

Share this topic with marketers, product owners, and people who build or run the solution. After you read it, use step-by-step guides in Experience League for product tasks or technical details.

IMPORTANT
The applications you can use depend on your Adobe license. Check your contract and the latest Experience League product documentation.

What you will understand after reading learning-outcomes

After you read this topic, you should be able to do the following.

  1. Describe Adobe Experience Platform: Explain what Experience Platform does as the shared base for data and data rules. You can explain this without naming a specific application.
  2. Describe each main application: Explain which business goal each application supports and what type of work it is for.
  3. Describe how Experience Platform and applications fit together: Explain how customer profiles, identities, data shapes (schemas), and data rules move from Experience Platform into applications. Explain why teams do not need to build separate, conflicting data pipelines for each tool.
  4. Connect a goal to the right part of the solution: For a sample goal (for example “run onboarding across email and mobile”), name which parts of Experience Platform and which applications usually support that goal.

In this topic, “your goals” means what your organization wants (for example growth, efficiency, or customer trust). “Your customers” means people who interact with your brand. Experience Platform and applications exist to help your teams serve those customers.

Adobe CX Enterprise cx-enterprise

Adobe CX Enterprise is the unified interface and shared services layer for Adobe’s customer experience portfolio. It is the top-level entry point for the customer experience stack: from Adobe CX Enterprise, open Adobe Experience Platform and Experience Platform applications (such as Real-Time CDP, Journey Optimizer, and Customer Journey Analytics) with:

  • A shared header and navigation
  • An application selector to move between products
  • Central services such as Audience Library, Customer Attributes, shared assets, triggers, and Marketplace

Below CX Enterprise sits Adobe Experience Platform as the data and decisioning foundation (schemas, identity, Real-Time Customer Profile, segmentation, governance, data lake, Edge, and related services). Licensed applications such as Real-Time CDP, Journey Optimizer, Customer Journey Analytics, and Adobe Marketing Campaign Analytics build on that foundation. The sections that follow zoom in on the foundation and each application.

What are Adobe Experience Platform and its applications? platform

Adobe Experience Platform is the real-time data and decisioning base for experience applications such as Real-Time CDP, Adobe Journey Optimizer, Customer Journey Analytics, and Adobe Marketing Campaign Analytics. Those applications are built on Experience Platform and share the same services for data, identity, profiles, audiences, and governance so your teams can move from insight to activation in one connected system instead of stitching separate tools together. Use Experience Platform to standardize and unify data once, then use applications to analyze, orchestrate, and activate experiences across channels at scale.

In typical workflows, teams access Experience Platform and these applications through Adobe CX Enterprise, described above.

Where to start with the full stack where-to-start

Use the following as a high-level order for using the full stack. Your organization can adapt the phases to your workflows.

Phase
What to do
Establish the foundation on Experience Platform
Define priority use cases and sources. Design XDM schemas, identity rules, sandboxes, and basic governance and consent.
Stand up Real-Time CDP
Configure audiences that match your use cases. Connect destinations for the channels that matter first.
Add Adobe Journey Optimizer journeys
Start with one or two high-impact journeys. Use Real-Time CDP segments and Experience Platform events as triggers and conditions.
Add Customer Journey Analytics for closed-loop learning
Connect Experience Platform datasets. Use journey visualizations to find opportunities, then publish audiences back to Experience Platform for Real-Time CDP and Adobe Journey Optimizer.
Iterate and scale
Expand journeys, channels, segments, and modeled scores as your program matures.

How Experience Platform features, services, and applications differ feature-service-application

Adobe Experience Platform includes features and services. It also supports licensed applications that package workflows for specific jobs.

Term
What it means in this documentation
Common examples
Platform feature
A capability available in Experience Platform that teams use directly for a purpose (often analysis, testing, or control). It is not a separate licensed application.
Sandboxes and data governance and privacy capabilities
Platform service
A background service that provides shared behavior that multiple products rely on through Experience Platform. Services are foundational and are not marketed as standalone day-to-day applications.
Identity Service, Real-Time Customer Profile, Query Service, segmentation, destinations, data ingestion
Platform application
A licensed product built on Adobe Experience Platform that adds its own user experience, workflows, and product-specific capabilities on top of the shared foundation.
Real-Time CDP, Adobe Journey Optimizer, Customer Journey Analytics, Adobe Marketing Campaign Analytics

Purpose of each application applications-at-a-glance

In this documentation, an application is a licensed Adobe product that runs on Adobe Experience Platform. Applications use the same customer profile, data structure, identity links, and data rules as Experience Platform. Each application adds its own screens and workflows for a type of work (for example sending audiences to channels, running journeys, or reporting results).

The table below lists each application. It gives a short description and main purpose. It does not list every application edition. What you can access depends on your license.

Application
What it is
Main purpose
Real-Time Customer Data Platform (Real-Time CDP)
Application for customer data and audiences
Bring your own customer data together. Build audiences that update often. Send audiences and attributes to ads, email, mobile apps, and other tools. Data rules are applied. The same product family supports consumer businesses, business customers, and mixed models. See application help for available editions.
Adobe Journey Optimizer
Application for journeys and messages
Plan and run personalized journeys (for example welcome paths, retention, or follow-up after service). Send messages across channels using live events and profile data.
Customer Journey Analytics
Application for analysis across channels
Measure and analyze how customers move through journeys across multiple channels (including web, mobile, call center, and point-of-sale systems), and how marketing performs. Uses data that is prepared in Adobe Experience Platform.
Adobe Marketing Campaign Analytics (formerly known as Adobe Mix Modeler)
Application for marketing measurement and planning
Bring measurement together (including marketing mix modeling). Plan spending scenarios for marketing. Uses data connected through Adobe Experience Platform so teams can see what drives results and plan budgets.

Other applications and editions on Experience Platform other-applications-and-editions

The table above describes four applications that work together in many implementations of Experience Platform. Your organization may also use related licensed offerings that sit on the same foundation (schemas, Identity Service, Real-Time Customer Profile, segmentation, and governance). The table below lists examples. It does not replace product-specific documentation. What you can access depends on your license, region, and Adobe portfolio.

Topic
Role
Real-Time CDP B2B Edition
Account and lead-focused activation on the same Experience Platform foundation as solutions oriented to consumers or mixed B2B and B2C models.
Journey Orchestration
Orchestration built on Experience Platform. Confirm with your Adobe team which journey product your organization purchased and implements.
Real-Time CDP Collaboration
Partner collaboration use cases (for example overlapping audiences with publishers or partners) in the Real-Time CDP family. Audiences may surface in Audience Portal alongside audiences from Experience Platform.
NOTE
Other Adobe CX Enterprise products can connect to Adobe Experience Platform without being listed here or above. For a high-level map of common integration patterns (sources and destinations—for example Adobe Analytics as a source or Adobe Target as a destination), see Adobe Experience Platform integrations.

Product names, editions, and what is sold can differ by license and country or region.

Map your goals to Experience Platform and to applications goals-map

Use this table to see what you want, what Experience Platform provides, and which applications help.

Your goal
What to use from Experience Platform
What to use from applications
See one person or account across channels
Identity Service, Real-Time Customer Profile, XDM
All listed applications benefit. Real-Time CDP and Adobe Journey Optimizer use Profile for sending audiences and journeys.
Run campaigns and lists with up-to-date membership
Profile, segmentation, destinations, data rules
Real-Time CDP for how audiences are sent. Destinations carry policy context.
Run multi-step experiences that react to behavior
Profile, live events, data rules
Adobe Journey Optimizer for journey logic and messages.
Report on journeys and channels with matching numbers
Shared XDM events and identities
Customer Journey Analytics for analysis on the same data.
Turn analysis into audiences for activation
Audiences published from Customer Journey Analytics to Adobe Experience Platform
Real-Time CDP and Adobe Journey Optimizer use those audiences from Experience Platform.
See how channels contribute and plan marketing budgets
Unified datasets, data rules, data ready for models
Adobe Marketing Campaign Analytics for mix modeling and spend planning.
Keep marketing and service aligned on customer facts
Profile, data rules, optional connections to other systems
How you connect other systems can vary. Experience Platform stays the base for customer data.

How Adobe Experience Platform provides value platform-alone

The subsections that follow show how the platform foundation turns into value for your teams.

  • The same data and rules
  • Faster paths to audiences, analysis, and activations
  • Governed use across tools

Adobe Experience Platform is the base layer for customer experience data. It is not a single marketing screen. It is built on services that run in the background. You set up data, identity, and rules once. Licensed applications reuse that foundation, which speeds time to audiences, analysis, and activations that teams can run with confidence.

Before you open an application, Experience Platform can do the following.

What Experience Platform does
Why this helps you
Brings in data from websites, apps, or your own business systems, via streaming APIs or batch exports
You are not stuck with one channel or one database. You can build a fuller view over time.
Structures data with schemas based on the Experience Data Model (XDM) so events and fields share one meaning
Shared definitions across analyst, marketing, and compliance teams reduce mistakes and duplicate work.
Links identities so that, within your rules, the same person or account can be recognized across devices and systems
Teams can work from one view of the customer where policy allows.
Keeps Real-Time Customer Profile up to date as the live view for decisions and exporting data
Decisions and activations always use fresh data.
Builds audiences (segmentation) from profile data, behavior, and consent
You define who is included in one place. Other steps reuse that logic.
Sends data out to destinations (exports and connected systems) and applies data rules through labels, policies, and Privacy Service
Governance rules apply automatically at activation, so teams do not need a separate compliance review before each data export.

In short, Experience Platform unites customer data, applies rules, and prepares data for use, so the value of that work shows up in applications (audiences, journeys, analytics) instead of remaining trapped in one-off data projects. It does not replace the full screens that applications provide for journey design, media workflows, or cross-channel reports. Applications provide those experiences.

Experience Platform services at a glance core-platform-services

This table lists core services and summarizes what each one does.

Area
Role on Experience Platform
Data collection (Tags, Experience Platform Web SDK, Experience Platform Mobile SDK, datastreams)
Collect data from digital experiences in a standard way.
Sources and bringing data in
Connect data from company systems and cloud sources to Experience Platform.
XDM and schemas
Set the structure and meaning of experience data.
Identity Service
Connect identifiers into one view within policy.
Real-Time Customer Profile
Hold the live profile used for decisions and sending data out.
Segmentation
Define audiences from profile data and events.
Destinations
Send audiences and attributes to other systems that run marketing or service.
Data governance, Privacy Service, consent
Control how data may be used.
Sandboxes
Create isolated environments to develop and test schemas, data flows, identity rules, and segmentation before you promote work to production.
Query Service
Run SQL on Experience Platform data for analysis and reporting.

These areas support an end-to-end pattern:

  1. Collect data from channels and systems.
  2. Bring events and attributes together under shared schemas and identities.
  3. Apply governance, consent, and segmentation to qualify the right people and actions.
  4. Activate audiences and attributes to your selected destinations.
  5. Measure results, statistics, and performance.

That flow is how raw data on Experience Platform becomes customer insight and activations you can use in your applications, with one governed stack instead of a separate data path for every channel or team. Data rules apply at each step.

NOTE
When you configure schemas, identities, governance, and data ingestion on Experience Platform, that work is available to applications that your license includes. You do not repeat the same foundation setup inside each application, so teams reach productive use in those applications sooner and with fewer mismatched definitions.

How the applications provide value applications-alone

The table below adds detail. It shows what each application does and what goal it supports.

  • Each application is a full workflow for a type of work (for example activation, journeys, cross-channel analysis, or marketing measurement) on the same Real-Time Customer Profile and data rules on Experience Platform.
  • Applications are the user experiences and screens on that foundation. Each one helps your teams do a main type of work. All of them draw from the same profile and data rules, so you do not copy the full data stack for each product.
Application
What it does (main job)
What goal it helps you reach
Real-Time Customer Data Platform (Real-Time CDP)
Manage audiences and activation: build audiences, update membership often, send audiences and attributes to destinations. Supports consumer, business, and mixed use cases depending on your license.
Reach the right people and exclude the wrong ones across paid, owned, and partner channels using your own unified customer data.
Adobe Journey Optimizer
Design journeys and send messages: react to events, branch paths, and send across channels from one journey workspace.
Run personalized sequences (for example onboarding, retention, or service follow-up) that respond to what the customer just did.
Customer Journey Analytics
Report and analyze journeys and campaign results using one data foundation.
See what happened and why across channels so you can improve spend and experience.
Adobe Marketing Campaign Analytics
Combine data connected to Experience Platform with models to measure channels and run planning scenarios.
Plan and adjust marketing spend with a steady view of how channels and other factors affect results.

When to use each application when-to-use-each-app

Use the following table to find the right application for your primary business goal.

Application
Use it when your primary goal is to
Real-Time CDP
Define audiences once from unified data and activate them consistently across channels and tools (including destinations outside Adobe).
Adobe Journey Optimizer
Listen to behavior and orchestrate the next message or experience across channels in near real time (event-driven and scheduled journeys).
Customer Journey Analytics
Understand end-to-end journeys, find friction, and discover audiences or opportunities to act on in Real-Time CDP and Adobe Journey Optimizer.
Adobe Marketing Campaign Analytics
Measure how channels contribute to outcomes and plan or adjust marketing spend using models that use data connected to Experience Platform.

AI Assistant and agents in key applications app-ai

Agentic AI and AI Assistant are available in Adobe CX Enterprise when you work in supported applications, within each product’s roles and permissions. Capabilities and agent names can change. Always check current product documentation for your organization.

Application
How AI can help (examples)
Real-Time CDP
AI Assistant and agents (for example Audience Agent) can help you create and refine audiences using natural language. Audiences are still stored and activated in Real-Time CDP according to governance and entitlements.
Adobe Journey Optimizer
AI Assistant and agents can assist with journey design and optimization while using the same Experience Platform profiles and audiences.
Customer Journey Analytics
AI Assistant and agents can help you explore and summarize journey data and surface audiences that you can publish to Experience Platform for activation in Real-Time CDP and Journey Optimizer.

In short, applications are how teams do their daily work (activation, journeys, analysis, marketing measurement). Experience Platform is what holds the customer data and rules that all of those teams trust. Experience Platform also offers SQL querying and other capabilities through the features and services above.

How Experience Platform and applications work together platform-and-apps-together

Experience Platform and applications are built to be used as one system.

  • A shared data, identity, and decisioning base
  • Applications for activation, orchestration, analysis, and measurement
  • For most work, a common entry and shared services in Adobe CX Enterprise

The subsections below show that system from a few views so you can match the stack to your role. The first view is a high-level stack table covering Experience Platform, applications, and the CX Enterprise experience layer, followed by a stage view of how work runs end to end.

Experience Platform stack inside Adobe CX Enterprise cx-enterprise-stack

The table below shows the high-level architecture. Adobe CX Enterprise is the experience, shared-services, and AI entry layer. Experience Platform is the foundation. Applications run on Experience Platform.

Layer
What it includes
Role
CX Enterprise experience layer
Adobe CX Enterprise: unified UI, shared navigation, application selector, shared services (for example Audience Library, Customer Attributes, shared assets, triggers, Marketplace), AI Assistant and in-product agents
How to access Experience Platform and applications with a consistent experience, shared services, and agentic AI (within product permissions).
Applications (built on Adobe Experience Platform)
Real-Time CDP, Adobe Journey Optimizer, Customer Journey Analytics, Adobe Marketing Campaign Analytics, and other Experience Platform applications
Audiences and activation, journey orchestration and cross-channel messaging, omnichannel analytics and insights, and measurement and planning, all using the same profiles, audiences, and governance from the foundation.
Adobe Experience Platform foundation
XDM schemas, Identity Service, Real-Time Customer Profile, segmentation, governance, Privacy Service, data lake, Query Service, Edge
Data, identity, decisioning, and compliance base shared by every application.

Experience Platform and applications working together means three things.

  1. One customer profile, many products: Real-Time Customer Profile, Identity Service, and data rules are shared. Real-Time CDP, Adobe Journey Optimizer, Customer Journey Analytics, and Adobe Marketing Campaign Analytics read from that same base (and related data). You do not maintain one customer list for analytics and a different list for marketing unless your process requires it.
  2. One set of event and field definitions, many use cases: Data is shaped with XDM schemas. The same event can feed reporting, journeys, and audience rules. Teams spend less time arguing about definitions.
  3. One place for data rules: You apply labels and policies to the data in Experience Platform, and applications use that governed data. You do not have to define compliance again inside each product, separate from the data the product reads from the platform.

The End-to-end flows table below maps everyday work to the same stack using Know, Decide, Activate, and Measure stages. For diagram-based views of layers and connections, see Adobe Experience Platform and applications (architecture diagrams) in the architecture blueprints collection.

End-to-end flows (how work runs across Experience Platform and apps) end-to-end-flows

This table maps the Know, Decide, Activate, and Measure stages to your platform work and describes what applications usually add.

Stage
What Experience Platform does
What applications usually add
Know
Bring data in, structure it, link identity, update Profile
Applications read Profile and events. They do not replace the step of bringing data in.
Decide
Build audiences and check who qualifies using united data
Real-Time CDP for building audiences. Adobe Journey Optimizer for journey paths and the next best action in context.
Activate
Destinations and controlled export of audiences and attributes
Real-Time CDP supports many activation patterns. Journeys send messages through the channels you set up.
Measure
Events and identities that follow one model in the data layer
Customer Journey Analytics for journey and campaign reporting. Audiences you define in Customer Journey Analytics can be published to Adobe Experience Platform for activation in Real-Time CDP and Adobe Journey Optimizer. Adobe Marketing Campaign Analytics for unified marketing measurement and planning that uses data connected to Experience Platform.

Example: Full-stack workflow across all four applications example-full-stack-workflow

The scenario below shows one common pattern. Your teams might change the order or skip a step. The goal is to show how Adobe Experience Platform and Real-Time CDP, Adobe Journey Optimizer, Customer Journey Analytics, and Adobe Marketing Campaign Analytics can all appear in the same workflow.

The scenario example-scenario

A retail brand runs a seasonal acquisition and onboarding program. Leadership wants to plan spend, reach new buyers with paid media, welcome new customers with messages, and report on results. The brand uses unified customer data on Adobe Experience Platform.

What happens in the workflow example-steps

The steps below summarize a typical workflow. The order is illustrative. Teams often overlap or reorder work.

  1. Adobe Experience Platform: Ingest, identity, and profile to provide the data foundation the other steps rely on.
  2. Adobe Marketing Campaign Analytics: Plan spend and channel mix for the program using connected marketing and outcome data.
  3. Real-Time CDP: Build and activate audiences, and use suppression lists where needed.
  4. Adobe Journey Optimizer: Run welcome and lifecycle journeys and messages.
  5. Customer Journey Analytics: Measure paths from touch to purchase and show how programs perform.

Adobe Experience Platform

Teams bring in web and app events, orders, consent, and cost or performance data from ads where available. Data uses shared XDM schemas. Identity Service links known customers. Real-Time Customer Profile updates as people shop and sign up. Data rules and consent are stored on Experience Platform.

Without this step, the applications below have nothing reliable to read.

Adobe Marketing Campaign Analytics (formerly known as Adobe Mix Modeler)

Marketing and finance review how channels contribute to sales and how to split budget across media for the season. They use models and planning views that draw on harmonized marketing and outcome data connected to Experience Platform.

This step answers “how should we invest” at a planning level. It is not the step for email or for day-to-day audience builds.

Real-Time CDP

Acquisition teams build audiences (for example likely buyers or people who left items in a cart). They activate those audiences to advertising and other destinations. They may also build suppression audiences so current customers are not targeted as prospects.

This step answers “who should we reach or exclude in paid and owned channels.”

Adobe Journey Optimizer

Lifecycle teams run a welcome journey after a purchase or signup. The journey listens for profile or event conditions, branches (for example first purchase vs repeat), and sends email or mobile messages.

This step answers “what message or path does this person get next.”

Customer Journey Analytics

Analytics teams build reports and dashboards on the full path from ad touch to purchase and onboarding. They measure funnels, channels, and segments using the same event and profile-backed definitions the business uses elsewhere.

This step answers “what happened in the journey and which parts worked.”

Teams often run the applications in parallel across a quarter. Marketing Campaign Analytics updates may happen on a slower cycle than live audiences or journeys. That is normal.

How the applications work together example-together

The following list shows how the applications work with each other to provide a complete solution.

  • One profile and one event model. The same person and the same events flow from Experience Platform into Real-Time CDP, Adobe Journey Optimizer, and Customer Journey Analytics. Marketing Campaign Analytics uses connected and harmonized data from Experience Platform. It may use summaries (for example, weekly spend) as well as event-level data, depending on setup.
  • Different jobs, same truth. Real-Time CDP determines who to reach. Adobe Journey Optimizer runs what happens next after an action. Customer Journey Analytics shows what occurred across steps. Adobe Marketing Campaign Analytics helps teams see when and how to shift budget at a higher level.
  • Data rules travel with the data. Labels and consent on Experience Platform affect which profiles can be used in segments, journeys, and reporting.

Example: Cart abandonment workflow example-cart-abandonment

The table below shows a second common pattern. It highlights insight to audience to orchestration on the same profile and events. It does not include Adobe Marketing Campaign Analytics. Your steps and order can differ.

Step
What happens
Collect and unify (Adobe Experience Platform)
Web and app events are collected with the Experience Platform Web SDK or Experience Platform Mobile SDK. Orders or point-of-sale data can come in by batch. Identity Service links identifiers into Real-Time Customer Profile.
Understand behavior (Customer Journey Analytics)
Analysts see where shoppers drop off and define a group (for example high-value customers who added to cart but did not purchase within 24 hours) using data views and reporting.
Create an audience (Customer Journey Analytics to Experience Platform to Real-Time CDP)
Analysts save that group as an audience published to Adobe Experience Platform. Real-Time CDP exposes it as an audience for activation and for journeys.
Orchestrate recovery (Adobe Journey Optimizer)
A journey uses audience qualification or events as a trigger (for example entry into the cart-abandoner audience). Messages can branch across email, web or in-app, SMS, or push depending on your setup.
Activate elsewhere (Real-Time CDP)
The same audience can go to destinations (for example ads) for remarketing or suppression so you do not message people who already converted.
Measure and refine (Customer Journey Analytics)
Teams measure lift and refine the audience, journey logic, and channel mix.

Configuration cautions configuration-cautions

The following table lists common problem areas and what to verify.

IMPORTANT
These issues cause confusion in real projects. Treat them as checkpoints for your architects and admins.
Area
What to watch
Identity
If web, app, and CRM send different identifiers or namespace settings, the profile can split one person into two. Audiences, journeys, and reports will not match. Align identity rules and primary IDs before you scale activation.
Consent and data rules
If datasets used in Real-Time CDP or Adobe Journey Optimizer are not labeled or consented correctly, you can activate or message people you should not. Review labels, policies, and consent fields on the same datasets you use for audiences and journeys.
Real-Time CDP and Adobe Journey Optimizer at the same time
The same person can be in an activated audience and in a journey. You can double-message or conflict with offers if you do not use suppression lists, journey entry filters, or clear rules for who enters a journey. Coordinate teams and test in a sandbox first.
Customer Journey Analytics definitions
Reports use data views and metric rules. If those definitions do not match the events or attributes your marketers use in Real-Time CDP or Adobe Journey Optimizer, dashboards will disagree with campaign reports. Align dimension and metric definitions with stakeholders.
Adobe Marketing Campaign Analytics timing and data shape
Mix modeling often uses harmonized or rolled-up inputs and scheduled refreshes. Do not expect the same real-time answer as Real-Time Customer Profile. Spend and outcome data must be mapped and cleaned in harmonization. Bad mappings skew channel credit and budget advice.
Marketing Campaign Analytics compared to Customer Journey Analytics
Marketing Campaign Analytics focuses on channel-level contribution and planning. Customer Journey Analytics focuses on journey paths and audiences. They answer related but different questions. Do not force one KPI to match the other without a documented bridge.
Sandboxes
Configuration in a sandbox does not automatically move to production. Plan a promotion process for schemas, audiences, journeys, and connections.
Time zones
Journeys, reporting windows, and ad platforms might use different time zones. Misaligned windows cause “wrong” counts and broken journey entry.

Guardrails and limitations guardrails-and-limitations

Adobe publishes guardrails for Adobe Experience Platform and for each application. Guardrails describe limits, expected performance, and safe ranges for configuration. They help you avoid errors, slowdowns, or unstable behavior. Guardrails are not service level agreements (SLAs). They do not guarantee speed or uptime in a legal sense.

Your contract, product description, and sales order might set contractual limits or entitlements. Those rules can differ from general documentation. When in doubt, refer to your agreement and Adobe account team, together with Experience League.

Topic
What to plan for
Soft limits and hard limits
Some limits are guidance. If you go far past them, performance might drop or latency might grow. Other limits are fixed by the system or by your contract. You cannot exceed them without a change to your setup or purchase.
Where limits apply
Many limits apply at the organization level, not per sandbox. Sandbox environments often have smaller caps than production. Test results in a sandbox might not show full-scale performance.
Ingestion and Profile
High event volume, identity volume, or profile counts affect cost, speed, and stability. Follow guardrails for data ingestion and Profile when you design pipelines. Very large audiences or very frequent updates can stress activation paths.
Segmentation and activation
Real-Time CDP has guardrails for audiences, activation, and destinations. Partner destinations also have their own caps, file sizes, or required fields. An audience that works in the UI can still fail or truncate at a destination if you ignore both sides.
Adobe Journey Optimizer
Journeys, channels, and message rates have product limits. Complex journeys or high volume need review against Adobe Journey Optimizer guardrails so messages stay reliable.
Customer Journey Analytics
Reporting has limits on connections, data views, rows, and cardinality. Heavy dimensions or very large event volumes need design review so reports stay usable.
Adobe Marketing Campaign Analytics
Modeling and planning depend on enough history and clean harmonized data. There are product limits on datasets, models, and refresh behavior. Thin or noisy data produces weak or unstable models.
APIs and automation
Programmatic calls use rate limits and quotas. Batch jobs that ignore those limits can fail or throttle.
Regions and availability
Some features, destinations, or applications are not available in every region. Confirm region for data residency and product availability before you design the full workflow.
NOTE
Numeric limits and default values change over time. Use the current guardrails pages in Experience League, your license usage views where your organization has them, and your contract.

Where to read more where-to-read-more

Use the following help topics to go beyond this overview.

If your workflow leans heavily on Customer Journey Analytics, Adobe Journey Optimizer, Adobe Marketing Campaign Analytics, or Query Service, read the guardrails topics for those products in their product help as well.

Roles and handoffs roles-and-handoffs

This table summarizes which roles are often involved at each stage and which parts of the stack they use.

Stage
Who is often involved
What they mainly use
Define meaning and rules for data
Data governance, legal, marketing leadership
Schemas, labels, policies on Experience Platform
Set up collection and data pipelines
Data engineers, marketing technology
Tags, SDKs, sources, data prep on Experience Platform
Build audiences and journeys
Marketing, CRM, journey teams
Applications (Real-Time CDP, Adobe Journey Optimizer) on top of the same Profile
Activate and run day to day
Marketing operations, media, lifecycle teams
Destinations, journey reporting, alerts
Audit and improve
Analytics, compliance, operations
Audit logs, monitoring, dashboards

Terminology terminology

This topic uses the following terms in specific ways.

  • Adobe Experience Platform: Shared services and features: bringing data in, data modeling, Identity Service, Real-Time Customer Profile, segmentation, destinations, data governance, privacy, services such as Query Service, and features such as sandboxes. For how those terms differ, see How Experience Platform features, services, and applications differ.
  • Adobe CX Enterprise: The unified interface and shared services layer through which you typically access Experience Platform and Experience Platform applications. See Adobe CX Enterprise.
  • Applications: Licensed products on Experience Platform (for example Real-Time CDP, Adobe Journey Optimizer, Customer Journey Analytics, Adobe Marketing Campaign Analytics) that package workflows for specific jobs. They are not the same as Experience Platform services such as Query Service and Identity Service. Related editions and applications appear in Other applications and editions on Experience Platform.
  • Adobe Marketing Campaign Analytics (formerly known as Adobe Mix Modeler): Licensed application for marketing measurement and planning (including marketing mix modeling). Experience League product help may still use the former product name and mix-modeler paths while documentation is updated after the product rename.

This matches the way the Experience Platform documentation overview groups content.

Additional resources additional-resources

The following help topics and collections expand on the concepts in this page.

For hands-on learning, see tutorials and courses in Experience League on Experience Platform Web SDK, XDM and schemas, identity, segmentation, and destinations.

recommendation-more-help
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