Assess before moving
We inventory existing journeys, audiences, templates, integrations, data fields, consent rules, reporting and operational dependencies. This separates what should be migrated, redesigned or retired.
HISOLIT combines technical delivery and lifecycle thinking so the platform supports real operating requirements.
Use a focused workstream, a project team or an ongoing extension of your existing CRM and engineering capability.
Yes. The migration can include multiple source systems, provided the source data, access and business rules are available for assessment.
Not necessarily. We recommend classifying journeys into migrate, redesign, consolidate or retire based on business value and technical fit.
HISOLIT combines platform knowledge with customer-data, lifecycle, QA and operating-model discipline so the work can be maintained after launch.
Migration work begins with an inventory of journeys, campaigns, data sources, templates, integrations, suppression rules, subscription logic and reporting dependencies. Legacy behavior is mapped before equivalent or improved Braze patterns are designed.
Attributes and events are mapped deliberately, with attention to identity resolution, historical data, consent, segmentation and downstream reporting. Journeys are rebuilt with explicit entry, exit, delay, branch and fallback logic so behavior is testable.
A migration plan should define freeze windows, parallel validation, acceptance criteria, back-out paths and post-cutover monitoring. Deliverability checks are part of the cutover, not a separate task after launch.
Migrations are safest when teams decide what to preserve, rebuild, retire or intentionally redesign before production traffic moves. The matrix below can be adapted to the source platform and business risk.
| Workstream | Map before build | Accept before cutover |
|---|---|---|
| Identity and data | Profile IDs, aliases, attributes, event taxonomy, consent and subscription state. | Representative records reconcile; invalid, missing and duplicate identities have an agreed rule; consent and suppression behavior is tested. |
| Journeys and audiences | Entry/exit criteria, re-entry, delays, branches, segments, exclusions and upstream dependencies. | Each critical path passes test scenarios or has an explicitly approved redesign. |
| Messages and personalization | Templates, Liquid variables, catalogs or feeds, links, language variants and channel configuration. | Fallbacks, links, tracking, rendering and preference flows are validated for representative profiles. |
| Integrations and measurement | API/webhook paths, event producers, reporting tags, conversions and suppression dependencies. | Payloads, failure behavior, reporting continuity and the owner for each dependency are documented. |
| Cutover and operations | Release order, freeze windows, stakeholder approvals, rollback criteria and on-call ownership. | Go/no-go checklist, escalation path, monitoring window and post-launch review are agreed. |
Use the structured inventory, mapping, test and stabilization sequence when preparing a Braze migration.
Braze migration guide →Identify migration dependencies before rebuilding the same legacy rules in a new platform.
MarTech migration checklist →After mapping, align architecture, build workstreams and production acceptance criteria.
Braze implementation services →Implementation decisions should be checked against the current platform documentation and partner requirements.
Reference the current Braze partner ecosystem when evaluating delivery, integration and implementation roles.
Braze partners →Connect this service to the detailed Braze platform capability page and technical resources.
Braze platform page →Continue to architecture, implementation, migration and API resources before scoping the engagement.
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