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Adobe Campaign to Braze Migration Guide

Adobe Campaign to Braze Migration Guide

Migrating from Adobe Campaign to Braze? This operator's guide covers workflow migration, data model translation, JavaScript-to-Liquid conversion, and escaping Adobe's ecosystem dependency.

By:
Propel AI Team
Adobe Campaign to Braze Migration Guide

Table of Contents

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Adobe Campaign migrations have a particular texture that sets them apart from every other platform switch. Teams migrating from Adobe Campaign to Braze are not just changing tools — they're escaping an ecosystem.

Adobe Campaign — whether Classic (v7) or the newer Campaign Standard — is deeply embedded in the Adobe Experience Cloud. Its data model, its workflow engine, and its personalization framework are designed to function as part of a broader Adobe stack: Experience Platform, Analytics, Audience Manager, Target. When a brand migrates away from Campaign, they're often unwinding a set of Adobe dependencies that extend well beyond the campaign tool itself.

At Propel, we've managed Adobe Campaign migrations for enterprise brands making the move to Braze. The migrations are technically complex and organizationally significant. This guide covers what the audit needs to include, how Adobe Campaign's architecture maps (and doesn't map) to Braze, and where the migration risks are highest.

Why Enterprises Move From Adobe Campaign to Braze

Operational complexity. Adobe Campaign is powerful and correspondingly complex to operate. Campaign Classic in particular requires dedicated technical administrators to manage schema extensions, workflow maintenance, and database operations. As Adobe shifts investment to Campaign Standard and newer cloud offerings, Classic teams find themselves maintaining aging infrastructure with shrinking vendor support. Braze's operational model is lighter and more self-sufficient for lifecycle marketing teams.

Real-time processing. Adobe Campaign's workflow engine is fundamentally batch-based. Workflows run on schedules — hourly, daily — not in response to real-time behavioral signals. Braze processes SDK events in real time, meaning Canvas triggers fire within seconds of the qualifying behavior. For teams trying to act on high-intent behavioral moments across their omnichannel orchestration program, this processing model is structurally different.

Mobile and app channels. Adobe Campaign's mobile channel capabilities are functional but architecturally separate from the core campaign workflow experience. Braze's push, in-app messaging, and Content Cards are native to Canvas Flow — the same event stream and the same builder handles all channels. For consumer brands whose mobile app retention is a primary business metric, this integration depth matters.

Data model flexibility. Adobe Campaign's schema extension model is powerful but rigid — changes to the data model require technical administration and schema republication. Braze's Custom Attributes and Custom Events can be created and modified without engineering involvement, enabling lifecycle teams to iterate on data capture without a ticketing queue.

One enterprise consumer brand we migrated from Campaign Classic had accumulated 11 years of schema extensions. The audit revealed that 60% of those extensions were no longer referenced in any active workflow — they were artifacts of campaigns and product features that no longer existed. The schema archaeology phase alone took three weeks before the migration itself could begin.

The Architecture Difference: Adobe Campaign to Braze

Adobe Campaign's model: Relational database with schema extensions. Recipients (contacts) are stored in a normalized relational schema. Custom data is added via schema extensions. Workflows are directed acyclic graphs that process recipients in batches. Personalization uses Adobe's JavaScript-based expression language (XTK) in Campaign Classic or Handlebars-like syntax in Campaign Standard.

Braze's model: Profile-centric and event-driven. Every user has a profile with Custom Attributes (static) and Custom Events (behavioral, with properties). Canvases trigger off Custom Events in real time. Personalization uses Liquid and Connected Content. No relational schema — data relationships are represented as Custom Attribute arrays or managed through Connected Content API calls at send time.

The migration consequence: Adobe Campaign's relational recipient-plus-extension data model must be flattened and restructured as Braze Custom Attributes. Many-to-one relationships (a recipient linked to multiple purchase records, for example) require either Custom Attribute arrays or Connected Content endpoints, depending on how that data is used in personalization. This is the most technically nuanced part of the data architecture migration and benefits directly from a structured events and attributes architecture design process.

What Transfers and What Doesn't

Transfers With Mapping ✅

Recipient identity data. Email, phone, first name, last name, and external identifiers transfer via import. Map Adobe Campaign's internal @id or your external recipient ID to Braze's external_id for cross-system user identity.

Suppression and opt-out data. Adobe Campaign manages opt-outs via the Quarantine table (hard bounces, email errors) and the Opt-out (blacklist) mechanism. Both must be exported and mapped to Braze's suppression structure: Quarantine records map to hard_bounced: true or email suppression; Opt-out records map to email_subscribe: unsubscribed. For multi-brand Campaign implementations with separate Business Unit opt-out structures, this mapping needs explicit planning.

Custom field data. Custom fields added via schema extension to the Recipient table — or to directly linked extension tables — can be exported and imported as Braze Custom Attributes, provided the data relationship is one-to-one (one value per recipient). Many-to-many relationships require a different approach.

Must Be Rebuilt 🔄

Every workflow becomes a Canvas. Adobe Campaign's workflow engine is batch-oriented. Braze Canvas Flow is real-time and event-driven. Converting a Campaign workflow to a Canvas is not a structural port — it's a re-architecture of trigger logic, entry conditions, and timing. Begin with the Braze onboarding Canvas template for your highest-volume lifecycle Canvas.

Personalization logic. Campaign Classic XTK JavaScript expressions and Campaign Standard personalization syntax must all be rebuilt in Braze Liquid. The logic is typically translatable but must be rewritten manually — there is no automated conversion. Run every rebuilt template through the pre-send email QA checklist before any Canvas goes live.

Segmentation. Campaign's query-based audience builder doesn't translate to Braze's segment builder. Every segment used in active workflows must be rebuilt using Braze Custom Attributes and event filters. Use the lifecycle stage segmentation playbook to rethink your segment taxonomy in Braze's event-driven model.

Adobe Experience Platform audience integration. If your Campaign instance consumes audiences from Adobe Experience Platform or Audience Manager, those audience inputs need alternative sources in Braze. Depending on your stack, this might be direct Braze API segment imports, a CDP integration, or cloud data ingestion from your warehouse.

Lost or Replaced ❎

Campaign's MTA (Message Transfer Agent) infrastructure. Adobe Campaign Classic manages its own email delivery infrastructure in some implementations. Braze manages delivery through its own MTA. Your sending domain, subdomain structure, and IP warming history in Campaign do not transfer — Braze's deliverability warm-up starts from zero on your new sending domain.

Adobe Analytics integration. Campaign's native Adobe Analytics integration for attribution tracking must be rebuilt. Braze's attribution connects through Braze Currents (streaming event data to your warehouse), native analytics integrations, or third-party attribution tools. Set up yourretention metrics dashboard in your warehouse or BI tool before the first Canvas goes live.

Migration Checklist: Adobe Campaign to Braze

Pre-Migration Audit

  • Inventory all active workflows — trigger type, batch schedule, channel mix, entry volume. Deactivate any with zero activity in 90 days before counting scope.
  • Document all schema extensions in active use — identify which fields are used in active workflows versus legacy artifacts.
  • Map the Recipient schema extensions to Braze Custom Attribute structure — identify many-to-many relationships that need Connected Content handling.
  • Export and document the Quarantine table structure and Opt-out mechanism across all brands and instances.
  • Identify all Adobe ecosystem integrations — AEP, Audience Manager, Analytics — and plan alternative integration paths.
  • Audit all active templates for personalization language — XTK JavaScript, Campaign Standard syntax — and assess Liquid rebuild scope.

Data Migration

  • Export Quarantine records — hard bounces and errors — import to Braze as email suppressed.
  • Export Opt-out records — import to Braze as email_subscribe: unsubscribed.
  • Export active recipients with all relevant schema extension fields — map to Braze Custom Attributes.
  • Segment import into engagement tiers before any Canvas is activated.
  • Backfill historical purchase or behavioral event data via Braze /users/track API if needed.

Technical Setup

  • Configure new sending domain in Braze — DKIM, SPF, DMARC. Deliverability starts fresh, so plan warm-up accordingly. Reference email deliverability channel health standards.
  • Instrument Braze SDK for app channels — validate every event and property against your schema.
  • Build Connected Content endpoints for any personalization requiring relational data lookups.
  • Configure Braze Subscription Groups to replace Adobe's multi-brand opt-out structure.
  • Set up Braze Currents for warehouse and analytics integration.

Canvas Rebuild and Go-Live

  • Rebuild every active workflow as a Braze Canvas — rearchitect for real-time events instead of batch triggers.
  • Rewrite all personalization in Liquid — QA every template against test user profiles.
  • Run end-to-end Canvas QA for every Canvas before deactivating its Campaign equivalent.
  • Execute email deliverability warm-up over 4–6 weeks.

Handling Adobe's Ecosystem Dependencies

The hardest part of an Adobe Campaign migration is often not Campaign itself — it's the web of Adobe connections that need to be unwound alongside it.

Adobe Experience Platform audiences. If AEP sends audience segments to Campaign as entry sources for workflows, you need a replacement audience input for Braze Canvases. Options include: Braze's native segment builder (for segments defined by Braze data), cloud data ingestion from your warehouse, or a CDP that can send audiences to both AEP and Braze.

Adobe Analytics attribution. Campaign's native Adobe Analytics integration tracks email engagement events in Analytics. In Braze, this is replaced by Currents (which streams Braze engagement events to your warehouse) plus your analytics tooling of choice. For teams running a modern customer engagement stack analysis as part of the migration decision, the analytics integration path should be mapped before the migration starts.

Adobe Target personalization. If Campaign journeys trigger Adobe Target experiences for on-site personalization, that integration needs to be rebuilt. Braze's Connected Content can call Target APIs directly, or the personalization layer can be handled through a separate CDP or personalization platform.

Stakeholder Expectations

Lifecycle and CRM team: Adobe Campaign migrations are among the longest we manage. Budget 16–22 weeks for a complex Campaign Classic account with extensive schema extensions, active personalization logic, and Adobe ecosystem integrations. Campaign Standard migrations with simpler data models can move faster at 12–14 weeks.

Engineering team: Schema extension mapping, Connected Content endpoint development, SDK instrumentation for app channels, and Adobe ecosystem integration unwinding all require engineering involvement. This is a larger-than-average engineering scope. Our events and attributes architecture service manages the technical specification.

Data and analytics team: The Adobe Analytics replacement — via Currents and your analytics stack — needs to be in place before the first Canvas goes live. Attribution visibility cannot have a gap during the transition period.

Leadership: The audit phase often produces a smaller active program scope than the apparent program. Frame this as scope efficiency, not scope reduction. Our campaign analytics and performance insights service maintains performance visibility during the full migration period. The customer retention impact calculator is useful for setting the post-migration ROI baseline.

Why Propel for Your Adobe Campaign to Braze Migration

Propel is a certified Braze partner with enterprise migration experience that includes Adobe Campaign's specific complexity. Our practice covers Campaign data model translation, XTK-to-Liquid personalization conversion, Adobe ecosystem integration planning, and the lifecycle strategy review embedded in every Canvas rebuild.

Talk to a Propel operator about your Adobe Campaign to Braze migration.

Frequently Asked Questions

  • Is Adobe Campaign Classic or Campaign Standard harder to migrate?

    Campaign Classic is typically more complex due to schema extensions, XTK personalization, and the potential for a managed MTA. Campaign Standard has a cleaner architecture but may have more Adobe ecosystem dependencies. Both require a full audit before scope can be determined.

  • Can Campaign schema extensions be automatically mapped to Braze Custom Attributes?

    No. Schema extensions must be analyzed individually. One-to-one relationships map directly. Many-to-one relationships require restructuring. Many-to-many relationships require Connected Content or Custom Attribute arrays, depending on how the data is used in personalization.

  • What replaces Adobe Analytics tracking in Braze?

    Braze Currents streams engagement events (sends, opens, clicks, conversions) to your data warehouse in real time. From there, your BI tool or analytics platform provides the attribution reporting that Adobe Analytics previously handled. Some teams use Amplitude or Mixpanel as the analytics layer connected to Braze Currents.

  • How long does the Adobe ecosystem unwinding take?

    It depends on the depth of integration. AEP audience inputs and Adobe Analytics attribution can typically be replaced within 4–6 weeks of planning. Adobe Target integrations are more variable. We assess the ecosystem dependency map in the pre-migration audit and scope each integration separately.

  • Does Braze have an equivalent to Campaign's typology rules?

    Braze's frequency capping (Rate Limiting) and quiet hours settings cover the core use cases of Campaign's typology rules: sending frequency limits, DND windows, and priority-based message suppression. Global Control Groups in Braze serve a similar function to Campaign's holdout typology rules.

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