CRM migration
Field-level mapping, validation, and rollback between Symplify Communication and HubSpot. We move data and schema; workflows are rebuilt natively in HubSpot.
Symplify Communication
Source
HubSpot
Destination
Compatibility
16 of 16
objects map 1:1 between Symplify Communication and HubSpot.
Complexity
BStandard
Timeline
24–72 hours
Overview
Symplify Communication is a marketing-automation platform built around contact profiles, segment lists, A/B-tested campaigns across eight channels, and DataDocs — a JSON-based relational document store for purchase history, booking data, and event records tied to individual contacts. HubSpot organizes data around contacts with lifecycle_stage as the central CRM property, companies, deals with pipeline stages, and built-in reporting. The migration maps Symplify contacts directly to HubSpot contacts, preserving email, name, phone, subscription status, and original create timestamps. Symplify segment lists become HubSpot static or active lists. DataDocs map to HubSpot custom objects with the original contact ID stored as an external ID for relationship tracing. Campaign sends, opens, clicks, bounces, and unsubscribes surface as contact-level engagement properties on each HubSpot record. Symplify journey flows, automation rules, and A/B testing configurations do not migrate — they require manual rebuild using HubSpot workflows and the HubSpot A/B testing framework. FlitStack AI uses Symplify's batch export API (filtering by LAST_WEEK / LAST_MONTH timeperiod values) to pull contact records and campaign statistics in structured CSVs, then loads data into HubSpot via the Contacts API and custom object endpoints with owner resolution by email match.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Symplify Communication object lands in HubSpot, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Symplify Communication
Contact
HubSpot
Contact
1:1Symplify contacts map 1:1 to HubSpot contacts. Email is the primary key for deduplication. HubSpot's lifecycle_stage property does not exist in Symplify — it is added as a custom property (Lifecycle_Stage__c) and set to a default value (e.g., 'Contact') for all migrated records unless a behavioral signal in Symplify justifies a different stage.
Symplify Communication
Contact.email
HubSpot
Contact.email
1:1Email serves as the canonical identifier across both systems, ensuring accurate record matching during migration. HubSpot's Contacts API uses email for deduplication on import — when a contact with a matching email address already exists in HubSpot, the system updates the existing record rather than creating a duplicate, maintaining data integrity and preventing contact proliferation in the CRM.
Symplify Communication
Contact (subscription status)
HubSpot
Contact.emailoptout / hs_email_optout
1:1Symplify unsubscribe records, exported as OPTOUTS via the statistics API, map directly to HubSpot's email opt-out property. To preserve a complete audit trail, each contact's unsubscribe timestamp is stored as a custom datetime field (Symplify_Unsubscribe_Date__c) on the HubSpot contact record, enabling your team to demonstrate consent history during compliance reviews or data governance audits.
Symplify Communication
Segment List
HubSpot
List (static or active)
1:1Symplify segments are audience lists with filter logic on contact properties and behavioral events. They map to HubSpot static lists (manually maintained) or active lists (dynamically updated by property changes). The filter logic itself cannot migrate — FlitStack exports the segment membership list (contact IDs) and your HubSpot admin rebuilds the active list filter criteria.
Symplify Communication
Campaign
HubSpot
Campaign / List
1:1Symplify campaigns become HubSpot campaigns as the parent marketing object for organizing outreach efforts. Campaign-level statistics including total sends, opens, clicks, and bounces are mapped to HubSpot contact engagement properties on each recipient's contact record and can optionally be associated with HubSpot campaign records, enabling your team to leverage HubSpot's built-in campaign reporting dashboards for performance visibility.
Symplify Communication
Campaign (engagement — opens, clicks, bounces)
HubSpot
Contact (engagement properties)
1:1Symplify's per-campaign engagement data (OPENS, CLICKS, BOUNCES export values) maps to HubSpot contact properties: last email open date, last email click date, bounce status, and custom engagement count fields. The association between campaign and contact is preserved so HubSpot reporting can reconstruct per-campaign contact history.
Symplify Communication
DataDoc (document type + row)
HubSpot
Custom Object (HubSpot)
1:1Symplify DataDocs are JSON documents stored under a document type (e.g., 'Purchase_History', 'Booking_Data') linked to a contact by originalId. Each unique document type in Symplify becomes a HubSpot custom object. The DataDoc JSON is stored as a custom long-text field (JSON_Data__c) and the Symplify originalId is stored as an external ID (Symplify_Original_ID__c) on the custom object for relationship traceability back to the HubSpot contact.
Symplify Communication
DataDoc.originalId
HubSpot
Custom Object.Symplify_Original_ID__c + Contact_External_ID__c
1:1originalId is the Symplify contact identifier linking a DataDoc to the contact record. We store it as an external ID on the HubSpot custom object record and also stamp it on the HubSpot contact as Symplify_Contact_ID__c so that the many-to-one relationship between DataDocs and contacts is queryable in HubSpot reporting.
Symplify Communication
Contact (owner / user)
HubSpot
Contact.ownerId
1:1Symplify does not have a per-contact owner model. HubSpot requires an owner (user) on every contact. We assign all migrated contacts to a designated HubSpot admin user as a fallback owner, and your team assigns individual owners post-migration. Owner assignment by email match is available if Symplify stores a user email on the contact.
Symplify Communication
Contact.createdate
HubSpot
Contact.Original_Create_Date__c
1:1HubSpot automatically sets the CreatedDate field to the migration timestamp when records are created via API. To preserve the original audience history, the Symplify contact creation timestamp is stored as a custom datetime field (Original_Create_Date__c) on each contact. This maintains audit continuity and ensures your team can report on contact tenure and historical acquisition patterns using the original creation dates.
Symplify Communication
Contact.hs_object_id
HubSpot
Contact.Source_System_ID__c
1:1Symplify's internal contact ID is preserved as a custom text field (Source_System_ID__c) on the HubSpot contact record. This identifier enables delta-run deduplication by allowing FlitStack AI to skip contacts that have already been migrated when re-running the migration against an existing HubSpot dataset, and provides a traceable link back to the original Symplify record for reconciliation and audit purposes.
Symplify Communication
Campaign.send_date
HubSpot
Contact.Symplify_Last_Campaign_Send__c
1:1The timestamp of the most recent campaign send to each contact is captured and stored as a custom datetime property (Symplify_Last_Campaign_Send__c) on the HubSpot contact record. This field integrates with HubSpot's active list filter logic for segmentation based on recency and supports workflow enrollment triggers that depend on campaign engagement timing to automate follow-up sequences.
Symplify Communication
Contact.sms_opt_in / push_opt_in
HubSpot
Contact sms_subscribed / hs_sms_subscription_status
1:1Symplify stores channel-level subscription preferences including email, SMS, push, and voice opt-in status on contact records. Each channel's preference maps to the corresponding contact property in HubSpot — SMS opt-in maps to sms_subscribed, push opt-in requires a custom boolean field since HubSpot has no native equivalent. Values are mapped on a one-to-one basis, and any unspecified status defaults to not opted in unless the source data explicitly indicates subscription activity.
Symplify Communication
Campaign.channel_type
HubSpot
Campaign.campaign_type / Contact properties
1:1Symplify campaigns are tagged by channel (email, SMS, push, voice, etc.). The channel type is stored as a custom property on the HubSpot campaign record and also surfaced on the contact's engagement properties so that HubSpot reporting can filter by channel.
Symplify Communication
Journey / Flow
HubSpot
HubSpot Workflow (manual rebuild required)
1:1Symplify journey flows define multi-step, event-triggered automation across channels. HubSpot workflows provide equivalent trigger-and-action logic, but the flows do not migrate automatically. FlitStack AI exports your Symplify journey definitions as a structured document (JSON export of flow logic) that your HubSpot admin can use as a rebuild reference.
Symplify Communication
A/B Test Configuration
HubSpot
HubSpot Email A/B Test (manual rebuild required)
1:1Symplify's built-in A/B testing for campaigns and content does not export as reusable test configurations. HubSpot's email tool includes A/B testing for subject lines, send times, and content — but the Symplify test history and winning variants are not transferable. We preserve A/B test results as campaign notes for your team to reference during rebuild.
| Symplify Communication | HubSpot | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Contact.email | Contact.email1:1 | Fully supported | |
| Contact (subscription status) | Contact.emailoptout / hs_email_optout1:1 | Fully supported | |
| Segment List | List (static or active)1:1 | Fully supported | |
| Campaign | Campaign / List1:1 | Fully supported | |
| Campaign (engagement — opens, clicks, bounces) | Contact (engagement properties)1:1 | Fully supported | |
| DataDoc (document type + row) | Custom Object (HubSpot)1:1 | Fully supported | |
| DataDoc.originalId | Custom Object.Symplify_Original_ID__c + Contact_External_ID__c1:1 | Fully supported | |
| Contact (owner / user) | Contact.ownerId1:1 | Fully supported | |
| Contact.createdate | Contact.Original_Create_Date__c1:1 | Fully supported | |
| Contact.hs_object_id | Contact.Source_System_ID__c1:1 | Fully supported | |
| Campaign.send_date | Contact.Symplify_Last_Campaign_Send__c1:1 | Fully supported | |
| Contact.sms_opt_in / push_opt_in | Contact sms_subscribed / hs_sms_subscription_status1:1 | Fully supported | |
| Campaign.channel_type | Campaign.campaign_type / Contact properties1:1 | Fully supported | |
| Journey / Flow | HubSpot Workflow (manual rebuild required)1:1 | Fully supported | |
| A/B Test Configuration | HubSpot Email A/B Test (manual rebuild required)1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Symplify Communication gotchas
Batch export period cap at 2 weeks complicates full-history migrations
DataDocs require pre-existing Document Type definitions in Symplify
No publicly documented API rate limits
HubSpot gotchas
Marketing Contacts billing model is migration-critical
Feature tier gating is not visible until onboarding
Mandatory onboarding fees inflate year-one cost
HubSpot CSV importer cannot migrate engagements or attachments
Custom objects require Enterprise and a pre-existing schema
Pair-specific challenges
Migration approach
Audit Symplify data inventory and design HubSpot custom object schema
FlitStack AI reviews your Symplify account's contact volume, DataDoc document types, segment list count, and campaign history span. We identify all custom contact properties that need HubSpot equivalents, audit DataDoc JSON schemas to determine whether fields map to typed custom fields or require JSON long-text storage, and deliver a HubSpot schema plan. This plan includes the list of custom properties to create in HubSpot, custom object definitions for each DataDoc type, and a mapping matrix linking Symplify fields to HubSpot fields. Your HubSpot admin creates the schema before migration data is loaded.
Export contacts, segments, and campaign engagement data in scoped batches
FlitStack AI initiates Symplify batch export requests using the statistics export API (exportType values: LISTS, CAMPAIGNS, OPENS, SENT, CLICKS, HARD_BOUNCES, SOFT_BOUNCES, OPTOUTS) with timeperiod values scoped to your specified historical window. For long-horizon histories, we run weekly batches and merge the resulting CSVs, deduplicating contact records by email. DataDoc exports run separately via the Symplify REST API, scoped by document type. We flag any API rate-limit responses (HTTP 429) and retry with exponential backoff. Export files are validated against your Symplify account record counts before the next step begins.
Transform data, map fields, and create HubSpot custom objects
Each exported dataset is transformed to match the HubSpot import format: contact CSVs are formatted for the HubSpot Contacts API, DataDoc records are formatted for the appropriate HubSpot custom object, and campaign engagement metrics are appended to the contact records. FlitStack AI creates HubSpot custom objects (one per DataDoc document type) with the fields defined in the schema plan, including external ID fields linking each DataDoc back to the HubSpot contact record. Subscriber opt-out timestamps, campaign send dates, and engagement counts are mapped to their respective custom properties on each contact.
Load data into HubSpot with owner resolution and deduplication
Contacts are imported via the HubSpot Contacts API with upsert behavior keyed on email — existing HubSpot contacts with matching emails are updated rather than duplicated. Owner assignment uses email match against HubSpot user accounts: matched owners are assigned directly; unmatched contacts are assigned to a designated fallback owner and flagged in the migration report for manual reassignment. DataDoc records are imported to their respective custom objects with the Symplify originalId stored as an external ID for traceability. Segment membership is loaded as static list members in HubSpot. FlitStack AI runs field-level diff validation on a sample of 100–500 records before committing the full load.
Cut over with delta-pickup and deliver migration audit log
After the full migration load completes, FlitStack AI captures a final delta window (24–48 hours) to pick up any contacts modified or created in Symplify during the cutover period. The audit log records every import operation: record ID, source system ID, fields mapped, and timestamp. One-click rollback reverts all imported records if reconciliation fails. The final deliverable includes a migration summary report with record counts per object, a field-level diff report for the sample validation, a list of unmapped Symplify properties for manual review, and exported Symplify journey definitions and A/B test results as JSON for your HubSpot admin's rebuild reference.
Platform deep dives
Symplify Communication
Source
Strengths
Weaknesses
HubSpot
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Symplify Communication and HubSpot.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Symplify Communication: Not publicly documented.
Data volume sensitivity
Symplify Communication doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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