CRM migration

Migrate from Symplify Communication to HubSpot

Field-level mapping, validation, and rollback between Symplify Communication and HubSpot. We move data and schema; workflows are rebuilt natively in HubSpot.

Symplify Communication logo

Symplify Communication

Source

HubSpot

Destination

HubSpot logo

Compatibility

100%

16 of 16

objects map 1:1 between Symplify Communication and HubSpot.

Complexity

BStandard

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Symplify Communication logo

Symplify Communication

What's pushing teams away

  • Automation capabilities are described as less advanced than larger competitors — complex multi-step orchestration sometimes hits feature ceilings.
  • Reporting and analytics modules have limited customisation; reviewers turn to external BI for the analyses they want.
  • Message template customisation is criticised as basic, hindering consistent brand identity across complex creative needs.
  • Segmentation builder occasionally crashes on very advanced calculations, frustrating power users.
  • Native video support in newsletters is missing — a notable gap for brands whose campaign creative leans on video assets.

Choosing

HubSpot logo

HubSpot

What's pulling them in

  • Lowest barrier to entry of any major CRM — the free tier with unlimited contacts lets teams validate fit before committing to a paid plan, according to G2 and Capterra reviewers.
  • Native integration between the CRM and sales engagement tools (sequences, email tracking, dialer) means no separate sync configuration, a theme across G2 Sales Hub reviews.
  • Pipeline visualization, deal tracking, and automated workflows are consistently praised as intuitive and easy to set up without developer involvement.
  • Strong onboarding for new team members — reviewers on Capterra and G2 highlight how quickly new reps become productive without formal training.
  • The HubSpot platform ecosystem (Marketing, Sales, Service, CMS hubs) allows growing companies to consolidate tools without building new integrations.

Object mapping

How Symplify Communication objects map to HubSpot

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

maps to

HubSpot

Contact

1:1
Fully supported

Symplify 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

maps to

HubSpot

Contact.email

1:1
Fully supported

Email 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)

maps to

HubSpot

Contact.emailoptout / hs_email_optout

1:1
Fully supported

Symplify 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

maps to

HubSpot

List (static or active)

1:1
Fully supported

Symplify 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

maps to

HubSpot

Campaign / List

1:1
Fully supported

Symplify 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)

maps to

HubSpot

Contact (engagement properties)

1:1
Fully supported

Symplify'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)

maps to

HubSpot

Custom Object (HubSpot)

1:1
Fully supported

Symplify 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

maps to

HubSpot

Custom Object.Symplify_Original_ID__c + Contact_External_ID__c

1:1
Fully supported

originalId 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)

maps to

HubSpot

Contact.ownerId

1:1
Fully supported

Symplify 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

maps to

HubSpot

Contact.Original_Create_Date__c

1:1
Fully supported

HubSpot 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

maps to

HubSpot

Contact.Source_System_ID__c

1:1
Fully supported

Symplify'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

maps to

HubSpot

Contact.Symplify_Last_Campaign_Send__c

1:1
Fully supported

The 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

maps to

HubSpot

Contact sms_subscribed / hs_sms_subscription_status

1:1
Fully supported

Symplify 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

maps to

HubSpot

Campaign.campaign_type / Contact properties

1:1
Fully supported

Symplify 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

maps to

HubSpot

HubSpot Workflow (manual rebuild required)

1:1
Fully supported

Symplify 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

maps to

HubSpot

HubSpot Email A/B Test (manual rebuild required)

1:1
Fully supported

Symplify'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.

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.

Symplify Communication logo

Symplify Communication gotchas

High

Batch export period cap at 2 weeks complicates full-history migrations

Medium

DataDocs require pre-existing Document Type definitions in Symplify

Medium

No publicly documented API rate limits

HubSpot logo

HubSpot gotchas

High

Marketing Contacts billing model is migration-critical

High

Feature tier gating is not visible until onboarding

Medium

Mandatory onboarding fees inflate year-one cost

Medium

HubSpot CSV importer cannot migrate engagements or attachments

Medium

Custom objects require Enterprise and a pre-existing schema

Pair-specific challenges

  • Symplify platform closure forces a time-constrained migration

    Symplify Technologies AB announced platform closure in 2026. All customers must migrate off before the window closes. This creates two specific risks: (1) export API access may degrade or be throttled as Symplify reduces infrastructure ahead of shutdown, and (2) teams feel pressure to rush the migration without sufficient data auditing. FlitStack AI sequences exports early in the engagement so your highest-priority data — contacts, DataDocs, engagement history — is extracted before any API access restrictions take effect. We recommend starting migration planning immediately rather than waiting for Symplify's final shutdown notice.

  • Journey flows and A/B test configurations do not migrate — they must be rebuilt

    Symplify journey flows define multi-step, event-triggered automation across email, SMS, push, and voice channels with A/B branching logic. HubSpot workflows provide equivalent trigger-action automation, but the flow definitions themselves are not exportable from Symplify. Similarly, Symplify's A/B test configurations (subject line variants, content splits, winner criteria) are stored in Symplify's engine and cannot be extracted as reusable test objects. FlitStack AI exports Symplify journey definitions as JSON documents and A/B test results as campaign notes — your HubSpot admin uses these as rebuild references. This is the most significant manual-work component of any Symplify-to-HubSpot migration and should be scoped explicitly before migration begins.

  • DataDoc JSON requires custom object creation in HubSpot — schema design is migration-specific

    Symplify DataDocs store relational contact data (purchase history, bookings, loyalty points) as JSON documents under named document types. HubSpot has no native DataDocs equivalent — each document type must become a HubSpot custom object with custom fields to store the JSON data and external IDs to link back to the contact. The specific fields depend on your DataDoc schema: if your DataDocs use a consistent field structure (e.g., purchase_amount, purchase_date, product_id), we can map them to typed custom fields on the HubSpot custom object for better queryability. If DataDocs vary per record (flexible JSON), we store the entire JSON as a long-text field and your team queries via the HubSpot API. FlitStack AI audits your DataDoc document types and delivers a custom object schema plan before migration data is loaded.

  • Symplify batch exports are timeperiod-scoped — long-horizon histories require multiple export batches

    Symplify's statistics export API (POST /rest/<customerId>/batches/exports/statistics) returns data scoped to a timeperiod value: TODAY, LAST_DAY, LAST_3_DAYS, LAST_WEEK, LAST_2_WEEKS. To reconstruct campaign engagement history across a multi-month period, FlitStack AI must run multiple export batches (e.g., weekly exports for 12 months = 52 batch requests). Each batch produces a separate CSV file that is merged and deduplicated before HubSpot import. This multi-batch sequencing adds planning time and is reflected in the migration timeline. Teams that need only recent engagement history (last 30–90 days) can scope exports accordingly to reduce complexity.

  • HubSpot lifecycle_stage must be manually assigned post-migration — no behavioral history to infer it

    HubSpot uses lifecycle_stage as the central contact property for lead routing, marketing automation enrollment, and reporting. Symplify does not store a lifecycle stage equivalent on contacts. After migration, all contacts land with a default lifecycle_stage value (e.g., 'Customer') unless your team specifies behavioral signals that justify a different stage. FlitStack AI sets a migration-wide default and surfaces the issue in the migration plan — your HubSpot admin updates lifecycle stages using HubSpot workflows (triggered by deal association, form submission, or contact property changes) after go-live. This is not data loss but a configuration step that requires HubSpot-side logic to be built.

Migration approach

Six steps for a successful Symplify Communication to HubSpot data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Symplify Communication logo

Symplify Communication

Source

Strengths

  • G2 scores 9.2/10 for Dynamic Content, indicating strong personalization capabilities
  • G2 scores 9.5/10 for email deliverability, among the highest in its category
  • Capterra highlights elegance and ease of use as primary differentiators
  • REST API supports batch exports with progress tracking via batchId
  • DataDocs feature allows storing relational data directly linked to contacts

Weaknesses

  • Only 34 G2 reviews, making independent validation of claims difficult
  • Pricing is not publicly documented, requiring direct sales inquiry
  • API lacks published rate limit documentation, complicating migration planning
  • No free tier available, limiting ability to evaluate before committing
  • Batch export only supports up to 2-week periods, requiring iterative pulls for large histories
HubSpot logo

HubSpot

Destination

Strengths

  • Genuinely useful free CRM tier with no seat limit on contact records.
  • All-in-one sales engagement layer (sequences, email tracking, calling, dialer) embedded natively in the CRM, eliminating a separate integration.
  • Intuitive interface and fast onboarding for individual reps, per G2 and Capterra reviews.
  • Workflow automation triggers across contacts, deals, and tickets with a visual builder.
  • API coverage for all standard objects including custom objects at Enterprise tier.

Weaknesses

  • Pricing model is contact-based at the marketing layer — importing all records as marketing contacts can multiply the monthly bill by 4×.
  • Feature tier cliffs are frequent surprises: sequences, calling, advanced reporting, and quoting are all gated, often requiring plan upgrades mid-implementation.
  • Mandatory onboarding fees at Professional ($1,500) and Enterprise ($3,500) are not prominently disclosed on the pricing page.
  • API rate limits are restrictive for bulk migration — burst limits of 100-200 req/10sec and search endpoint limits of 4 req/sec require careful job queuing.
  • Custom objects, additional pipelines, and advanced forecasting are Enterprise-only, making cost projections difficult for growing teams.

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 Symplify Communication and HubSpot.

  • 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

    Symplify Communication: Not publicly documented.

  • Data volume sensitivity

    B

    Symplify Communication doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Symplify Communication to HubSpot 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 Symplify Communication to HubSpot data migrations

Answers to the questions buyers ask most during Symplify Communication to HubSpot migration scoping. Not seeing yours? Book a call.

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Most Symplify-to-HubSpot migrations complete in 24–72 hours of clock time for under 50,000 contacts with standard properties and one or two DataDoc document types. Larger setups with multi-month campaign engagement histories requiring weekly batch exports (LAST_WEEK timeperiod values across 12 months = 52 batch requests), or three or more DataDoc document types, extend to 5–10 days. The longest planning step is designing the HubSpot custom object schema for DataDocs — your admin should create that schema before migration data loads.

Adjacent paths

Related migrations to explore

Ready when you are

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