CRM migration

Migrate from Synerise to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Synerise and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Synerise logo

Synerise

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

50%

7 of 14

objects map 1:1 between Synerise and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Synerise to Salesforce is a platform-type migration: Synerise organizes data around Profiles (customer identity), Events (behavioral signals), Catalogs (item feeds), and Brickworks Schemas (arbitrary custom structures), while Salesforce uses a relational Account-Contact-Opportunity model. We map Synerise Profiles to Salesforce Contacts with a custom synerise_profile_id__c field for reconciliation, Events to a combination of Tasks, custom Engagement__c records, and Activity history via Bulk API 2.0, and Brickworks Schemas to Salesforce custom objects with lookup relationships recreated in the destination. Synerise's proprietary AI stack (BaseModel.ai, Cleora.ai) is not exportable — we document every recommendation configuration (thresholds, item feeds, display rules) and flag that Einstein or an external AI provider must retrain on migrated catalog images before recommendations resume. Automation workflows are fire-and-forget by design, meaning in-flight workflow state cannot be preserved at cutover; we export workflow definitions as JSON and deliver a written activation checklist for the customer's admin team to rebuild in Salesforce Flow post-migration.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Synerise logo

Synerise

What's pushing teams away

  • Building dashboards and reporting views requires starting from scratch every time — the flexibility that enables creative reporting also creates significant time investment for common visualization needs.
  • Custom attribute names cannot be renamed or deleted after creation, which creates technical debt for organizations that evolve their data model over time.
  • Pricing is entirely custom and opaque — no public per-seat or per-feature tiers, requiring lengthy sales cycles and making cost predictability difficult for growing teams.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Synerise objects map to Salesforce Sales Cloud

Each row shows how a Synerise object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Synerise

Profile

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Synerise Profiles (the primary customer identity unit) map to Salesforce Contact. Default attributes — email, firstName, lastName — map directly. We preserve the Synerise profile UUID in a custom field synerise_profile_id__c for reconciliation. Custom profile attributes are audited during scoping; any that conflict with Salesforce reserved field names require renaming before migration. Profile tags migrate as multi-select picklist values on the Contact.

Synerise

Profile

maps to

Salesforce Sales Cloud

Lead

1:1
Fully supported

Synerise Profiles that represent unqualified prospects (those without a linked transaction event) can be mapped to Salesforce Lead in addition to Contact, depending on whether the customer uses Salesforce for marketing lead capture. We determine the split during scoping based on the customer's use of Salesforce Leads for new inbound prospects versus treating all Synerise Profiles as Contacts.

Synerise

Event

maps to

Salesforce Sales Cloud

Task + custom Engagement__c

1:many
Fully supported

Synerise Events (page.visit, product.view, added-to-cart, transaction, and 40+ event types) do not have a direct Salesforce equivalent. We split Events into two categories: transactional events (transaction events with revenue data) become Salesforce Opportunities with custom fields; engagement events (views, clicks, opens, form submissions) become custom Engagement__c records linked to the Contact with event_type, event_timestamp, and custom properties as JSON in a long-text field. Event attribution resolves to the Contact via synerise_profile_id__c lookup during staging.

Synerise

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Synerise does not have a standalone Company object — company data lives as profile attributes or Brickworks schema records. We extract company-related fields from Profile attributes (company_name, website, industry, address) and map them to Salesforce Account fields. If company data lives in a Brickworks schema, we treat it as a custom object with a lookup to Account.

Synerise

Transaction

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Synerise Transaction records (created via POST /v4/transactions or batch) contain line items, totals, and timestamps. We map to Salesforce Opportunity with the transaction total as Amount, transaction date as CloseDate, and line items as OpportunityLineItem via resolved Pricebook2. Order-level metadata (order_id, payment_method, shipping_method) becomes custom Opportunity fields.

Synerise

Catalog

maps to

Salesforce Sales Cloud

Product2 + Pricebook2

1:many
Fully supported

Synerise Catalogs (product/item feeds used by AI recommendation models) map to Salesforce Product2 records with Standard Price Book entries. Item feeds exported from Synerise as CSV or JSON map to product records with the Synerise item ID preserved in a custom field synerise_item_id__c. Visual similarity configurations reference catalog images, which we export separately for Einstein retraining coordination.

Synerise

Brickworks Schema

maps to

Salesforce Sales Cloud

Custom Object

1:1
Fully supported

Brickworks schemas (arbitrary record structures defined in Synerise's Data Modeling Hub) become Salesforce Custom Objects with __c API names matching the schema names. Field names, types, and constraints are documented in the migration manifest for manual recreation in Salesforce Setup. Lookup relationships between Brickworks records map to Salesforce lookup or master-detail fields on the corresponding custom objects. Schema definitions are not automated in migration; the customer's Salesforce admin recreates the schema first, then data loads follow.

Synerise

Segment

maps to

Salesforce Sales Cloud

Custom Contact Field or Campaign Member

lossy
Fully supported

Synerise Segments return true/false membership per Profile. Segment membership flags export as boolean values in the profile export. We map high-value segments to Campaign membership (if the customer uses Salesforce Campaigns for audience targeting) or to custom Contact fields with segment names as field labels. Complex segment rule logic (AND/OR conditions, time-decay, behavioral scoring) is not evaluated during migration — we document the rule definition for manual reconfiguration in Salesforce Flow or a segmentation tool.

Synerise

Custom Attribute

maps to

Salesforce Sales Cloud

Custom Field

lossy
Fully supported

Synerise custom profile attributes (any field beyond the defaults) map to Salesforce custom Contact fields. The critical constraint is that Synerise custom attribute names are immutable after creation — they cannot be renamed or deleted. We audit every custom attribute name during scoping and flag any that conflict with Salesforce reserved field names or naming conventions. If a conflict exists, the customer decides whether to create new Synerise attributes and run a data reconciliation or accept the naming mismatch in Salesforce.

Synerise

Automation Workflow

maps to

Salesforce Sales Cloud

Salesforce Flow (documentation only)

lossy
Fully supported

Synerise workflows (defined in Automation Hub with trigger nodes, Profile Filter conditions, and action configurations for Send Email, Send SMS, webhook calls) are fire-and-forget by design — action completion does not gate workflow progression. This means in-flight workflows at migration cutover have no recoverable state. We export workflow definitions as JSON and deliver a written workflow inventory with trigger type, conditions, actions, and recommended Salesforce Flow equivalent. The customer's admin rebuilds workflows in Flow Builder post-migration. Active drip sequences and time-decayed offers will have gaps during the re-activation window.

Synerise

AI Recommendation Configuration

maps to

Salesforce Sales Cloud

Einstein or custom configuration

1:1
Fully supported

Synerise AI recommendation configurations (personalized, visual similarity, last seen, top items, item comparison) are trained on catalog feeds and profile event history. We export recommendation model configurations (thresholds, item feed references, display rules) to the migration manifest. The underlying AI model — trained on Synerise's proprietary Cleora.ai embeddings — is not exportable. We flag that Salesforce Einstein or an external AI provider must retrain on migrated catalog images before recommendations resume. Visual similarity configurations are especially dependent on the image embedding model; only the configuration exports, not the model.

Synerise

Campaign

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

Synerise Campaign definitions (email, SMS, push, WhatsApp across 100+ Campaign API endpoints) map to Salesforce Campaign records. Campaign templates, audience rules, and scheduling migrate as configuration data in the manifest. Campaign assets (email templates, images, content blocks) do not migrate as files; we document the asset list for manual upload to Salesforce Content or Marketing Cloud Content Builder. Active campaign state (in-progress vs completed) is preserved in a custom Campaign field.

Synerise

Tag

maps to

Salesforce Sales Cloud

Multi-Select Picklist on Contact

lossy
Fully supported

Profile tags in Synerise export as true/false boolean attributes per Profile. Tag names are free-form strings. We preserve the full tag set per Profile as comma-separated values in a custom Contact field Tags__c as a multi-select picklist. During scoping, the customer chooses whether tags map to multi-select picklist or to Salesforce Topics with TopicAssignment records, depending on their intended use for segmentation and reporting.

Synerise

Aggregates and Expressions

maps to

Salesforce Sales Cloud

Formula Fields or Custom Fields

lossy
Mapping required

Synerise supports computed aggregates and expression results attached to Profiles (lifetime spend, purchase frequency, RFM scores). These export as scalar values. Since aggregates are computed from underlying events, destination recomputation depends on the migrated event history being complete and accessible in Salesforce. We map aggregate values to custom Contact fields and flag that formula fields in Salesforce can recalculate from Opportunity data post-migration if all transaction events migrated successfully.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Synerise logo

Synerise gotchas

High

Immutable custom attribute names cause migration mapping failures

High

Active automation workflow state cannot be preserved at cutover

Medium

5GB file and 10M record export caps require chunked migration planning

Medium

Visual similarity AI recommendations require full model retraining

Low

Reserved attribute names cannot be used in custom field creation

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Synerise custom attribute names are immutable after creation

    Synerise does not allow custom attribute names to be renamed or deleted after creation — this is a permanent, irreversible constraint. During migration scoping, we audit every custom attribute name in the source workspace and flag any that conflict with Salesforce field naming conventions or reserved field names. If a conflict exists and renaming is required, the customer must decide whether to create new attributes on Synerise and run a data reconciliation, or accept the naming mismatch on the Salesforce side. Attributes with reserved Salesforce field names (Id, Name, CreatedDate, etc.) will cause import rejection unless resolved before migration.

  • Fire-and-forget workflow state cannot be preserved at cutover

    Synerise workflows are fire-and-forget by design — the workflow continues as soon as an action node fires without waiting for the action to complete. This means in-flight workflows at migration cutover have no recoverable state. Any drip sequences, time-decayed offers, or event-triggered campaigns running at cutover will have gaps when re-activated in Salesforce Flow. We export workflow definitions (node graphs, trigger conditions, action configurations) as JSON in the migration manifest and document which workflows were active at cutover so the customer's admin can re-activate them with a documented checklist.

  • Brickworks schemas require manual recreation in Salesforce Setup

    Synerise's Brickworks schema builder enables arbitrary custom data structures without standard object boundaries. Salesforce uses a relational custom object model with explicit field types, lookup relationships, and validation rules. Brickworks schemas cannot be migrated as code — they must be manually recreated as Salesforce custom objects by the customer's admin before data migration begins. Schema definition files (field names, types, constraints, relationships) are documented in the migration manifest. This adds a prerequisite step that can extend the project timeline by one to three weeks depending on schema complexity.

  • 5GB file and 10M record export caps require chunked migration planning

    Single Synerise export jobs are limited to 10 million Profiles and 5GB output file size. Large workspaces with millions of Profiles or event records require multiple export jobs segmented by segment membership, date range, or attribute filters. We plan chunked export jobs during scoping, run them sequentially with deduplication checks against a synerise_profile_id__c key, and merge chunk outputs in the staging environment before loading to Salesforce. Chunking adds sequencing complexity and reconciliation overhead to the project plan.

  • Visual similarity AI model is not exportable — Einstein retraining required

    Synerise's visual similarity recommendations are trained on product images using the proprietary Cleora.ai image embedding model. This model is not accessible via API or export. Only the recommendation configuration (thresholds, item feed reference, display rules) transfers. We document all visual similarity configurations in the migration manifest and flag that the destination platform must train its own equivalent model on the migrated catalog images before visual recommendations resume. Salesforce Einstein Product Recommendations, Einstein Vision, or a third-party image similarity service requires separate configuration and training after cutover.

Migration approach

Six steps for a successful Synerise to Salesforce Sales Cloud data migration

  1. Source workspace audit and scoping

    We audit the Synerise workspace across Profile count, event volume, catalog sizes, Brickworks schema definitions, active automation workflows, AI recommendation configurations, and campaign structures. We export the custom attribute registry and cross-reference it against Salesforce reserved field names. We identify any reserved-name conflicts, segment complexity, and workflow count. The scoping output is a written migration scope document with object-level record counts, a Brickworks schema manifest, a workflow inventory list, and a Salesforce edition recommendation based on custom object and data volume requirements.

  2. Salesforce destination schema design

    We design the Salesforce destination schema in a Sandbox org. This includes creating custom Contact and Lead fields for Synerise attributes (with synerise_profile_id__c as an External ID), provisioning custom objects for Brickworks schemas with lookup relationships to Account and Contact, designing the Product2 and Pricebook2 structure for catalog migration, and configuring Campaign record types for Synerise campaign types. Brickworks schema recreation is a manual prerequisite in Salesforce Setup — we document the exact schema definition and the customer admin recreates it before data migration begins. Schema is validated via a Sandbox migration run before production.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using production-like data volume from the scoped export. The customer's team reconciles record counts (Contacts in, Leads in, Accounts in, Opportunities in, Events mapped), spot-checks 25-50 random records against the Synerise source, and validates Brickworks schema data integrity in the custom objects. Any field mapping corrections, validation rule conflicts, or field-level security rejections are resolved here. Sign-off on the Sandbox migration gates production migration.

  4. Synerise data export and staging

    We execute Synerise export jobs in dependency order: Profiles first (with all custom attributes and tags), then Transactions (with line items), then Events (chunked by date range if volume exceeds 10M records), then Catalogs (item feeds), then Segment membership, then Brickworks schema records. All exports run with synerise_profile_id__c set as the dedupe key. We run deduplication checks in the staging environment and flag any duplicate Profiles for customer review before Salesforce import begins.

  5. Production migration in record dependency order

    We run production migration in dependency order: Accounts (from company data), Contacts (with synerise_profile_id__c resolved, custom attributes mapped), Leads (if applicable), Opportunities (with AccountId and Pricebook2 resolved), Products and Pricebook entries (from catalog data), Brickworks schema records (with foreign key lookups resolved), then Event history (Engagement__c records via Bulk API 2.0 with parent-record resolution against Contact). Each phase emits a row-count reconciliation report before the next phase begins. Validation rules and field-level security are temporarily relaxed or granted to the migration user during load.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze Synerise writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the workflow inventory document (JSON definitions, trigger types, recommended Salesforce Flow equivalents) and the AI recommendation configuration manifest (threshold settings, item feed references, Einstein retraining checklist) to the customer's admin team. We support a one-week hypercare window for reconciliation issues. We do not rebuild Synerise workflows as Salesforce Flow inside the migration scope — that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Synerise logo

Synerise

Source

Strengths

  • Proprietary AI stack — TerrariumDB, BaseModel.ai, Cleora.ai — built entirely in-house with no third-party AI vendor dependencies.
  • Real-time event processing with sub-50ms latency from capture to profile enrichment to automated action.
  • Massive API surface — 900+ endpoints across 15 API domains — covering every major data object with batch support on key endpoints.
  • Flexible schema builder (Brickworks) enables arbitrary custom data structures without platform limitations.
  • Behavioral Data Hub consolidates catalogs, schemas, item feeds, and profile data in one central repository.

Weaknesses

  • Custom attribute names are immutable after creation — a design constraint that causes technical debt and migration complexity.
  • Dashboard and reporting views must be built from scratch each time — no pre-built templates for common marketing metrics.
  • Pricing is fully opaque and custom-quote-only with no public tier structure, making competitive evaluation difficult.
  • Workflows operate on a fire-and-forget model — action completion does not gate workflow progression, which can cause race conditions in complex automation chains.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Synerise and Salesforce Sales Cloud.

  • Object compatibility

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Synerise: Not publicly documented in the developer documentation.

  • Data volume sensitivity

    A

    Synerise exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Synerise to Salesforce Sales Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Synerise to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Synerise to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

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Migrations under 25,000 Profiles, 5,000 Transactions, and a single Brickworks schema land between four and six weeks. Migrations with multiple Brickworks schemas, large event histories (over 500,000 behavioral records), multi-catalog product feeds, or complex segment logic extend to ten to fourteen weeks because of custom object schema recreation, Bulk API chunking for event history, and AI configuration documentation scope. The Brickworks schema recreation step is the critical path item — it is manual and must complete before data migration begins.

Adjacent paths

Related migrations to explore

Ready when you are

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