CRM migration
Field-level mapping, validation, and rollback between Symplify Communication and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Symplify Communication
Source
Freshsales
Destination
Compatibility
5 of 10
objects map 1:1 between Symplify Communication and Freshsales.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Symplify Communication is permanently closed, making an urgent migration necessary. The platform was an enterprise marketing automation tool centered on Contacts, DataDocs (relational data linked to contacts), and campaign-level engagement tracking. Freshsales is a Freshworks CRM focused on Leads, Contacts, Accounts, and Opportunities with native activity logging for sales actions. The migration is a platform-category shift: moving from a marketing-automation data model to a sales-CRM data model. We preserve Contacts as Freshsales Leads or Contacts, map DataDocs to custom objects or Notes, and encode campaign send/open/click/bounce history as custom fields on each contact record since Freshsales does not natively track email marketing engagement at the message level. We do not migrate Symplify workflows, projects, or dynamic content rules as code; we deliver a written inventory of these for your admin to evaluate for rebuild in Freshsales.
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 Freshsales, 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
Freshsales
Lead or Contact (split required)
1:manySymplify Contacts map to Freshsales Lead (for unprocessed or marketing-qualified prospects) or Contact (for qualified buyers attached to an Account). We apply a split rule during scoping: Contacts with no associated DataDoc purchase history or deal association become Leads; Contacts with purchase events or behavioral data stored in DataDocs become Contacts linked to a Freshsales Account. The originalId from Symplify is preserved in a custom field symplify_original_id__c on both Lead and Contact for cross-reference.
Symplify Communication
DataDocs
Freshsales
Custom Object or Note
1:1DataDocs store relational records (purchase history, event attendance, booking data) linked to Symplify Contacts by originalId. Each Document Type defines mandatory fields including originalId and externalId plus any JSON Schema. We pre-create Freshsales custom objects matching each Document Type schema before migration begins. If a Document Type definition is missing or orphaned DataDocs exist without a valid type, we flag these during discovery and exclude them from migration until the customer resolves the type structure. JSON data within DataDocs is stored as a long-text custom field in JSON format for programmatic access.
Symplify Communication
List
Freshsales
Static List or Lead Source
lossySymplify Lists are static contact groupings. We export list membership and recreate list names as Freshsales Static Lists. If the customer uses lists for segmentation logic (e.g., VIP, churned, new subscriber), we encode these as custom multi-select picklist values on the Lead or Contact (e.g., list_membership__c) rather than recreating separate list objects, since Freshsales does not have a native standalone list object equivalent to Symplify Lists.
Symplify Communication
Campaign
Freshsales
Note or Custom Field on Contact
1:1Symplify Campaigns store send metadata (name, send date, channel, status). Freshsales does not have a native Campaign object in the base CRM; that exists in Freshmarketer. For each Symplify Campaign, we create a Note on the associated Contact records with campaign name, send date, and channel. If the customer moves to Freshsales Suite, we map campaigns to Freshmarketer Campaign records via the cross-product integration.
Symplify Communication
Opens
Freshsales
Custom Field on Contact
lossySymplify tracks open events per message per contact with timestamps. Freshsales has no native email marketing open tracking object. We aggregate open counts per contact and store them in a custom field email_open_count__c (integer) and a related custom object email_campaign_activity__c linking contact to campaign name and last open date. Per-message open detail is not recoverable in Freshsales without Freshmarketer.
Symplify Communication
Clicks
Freshsales
Custom Field on Contact
lossySymplify tracks click events per URL per message per contact. We aggregate click URLs and total click count per contact into a custom field email_click_count__c and a related email_campaign_activity__c record. The original clicked URL and timestamp are stored as JSON in a long-text field for audit purposes.
Symplify Communication
Hard Bounces
Freshsales
HasOptedOutOfEmail + Custom Field
1:1Symplify Hard Bounce records mark permanently undeliverable contacts. We export all hard bounce events by contact and set HasOptedOutOfEmail = true in Freshsales for deliverability compliance. We also store the bounce date and bounce reason in custom fields bounce_date__c and bounce_reason__c on the contact record.
Symplify Communication
Soft Bounces
Freshsales
Custom Field
1:1Soft Bounce records indicate temporary delivery failures. We export soft bounce events with timestamps and bounce codes and store them in a custom field soft_bounce_history__c (long-text JSON array) on the contact record. Soft bounces do not set HasOptedOutOfEmail in Freshsales, consistent with deliverability best practices, but the history is preserved for the customer's admin to review.
Symplify Communication
Optouts
Freshsales
HasOptedOutOfEmail
1:1Symplify Optout records track unsubscribe preferences with timestamps. We export all optout events and set HasOptedOutOfEmail = true in Freshsales, preserving the optout timestamp in a custom field unsubscribed_at__c. This ensures CAN-SPAM and GDPR compliance in the destination system and prevents accidental re-sending.
Symplify Communication
Project
Freshsales
Folder or Tag
lossySymplify Projects are organizational containers grouping campaigns and workflows. Freshsales does not have a native project-level container object. We map project structure to Freshsales Folders (for UI organization) or Tags (for cross-record classification) depending on the customer's intended use case. This is decided during scoping since projects often contain workflow logic that will not migrate.
| Symplify Communication | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split required)1:many | Fully supported | |
| DataDocs | Custom Object or Note1:1 | Mapping required | |
| List | Static List or Lead Sourcelossy | Fully supported | |
| Campaign | Note or Custom Field on Contact1:1 | Fully supported | |
| Opens | Custom Field on Contactlossy | Fully supported | |
| Clicks | Custom Field on Contactlossy | Fully supported | |
| Hard Bounces | HasOptedOutOfEmail + Custom Field1:1 | Fully supported | |
| Soft Bounces | Custom Field1:1 | Mapping required | |
| Optouts | HasOptedOutOfEmail1:1 | Fully supported | |
| Project | Folder or Taglossy | 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
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Discovery and data audit
We audit the Symplify account for record volumes across Contacts, Lists, Campaigns, Messages, DataDocs (by Document Type), and engagement event counts (opens, clicks, bounces, optouts). We identify any orphaned DataDocs without valid Document Types and flag them for resolution. We assess the total data volume and estimate the number of sliding-window API extraction cycles required based on the maximum 2-week period per export request. Discovery output is a written data inventory, an extraction schedule, and a Freshsales schema design proposal.
Freshsales schema design
We design the destination Freshsales schema: custom objects for each DataDoc Document Type (with field types matched to Symplify JSON Schema where defined), custom fields on Lead and Contact for engagement aggregates and bounce history, and Tags or Folders for Symplify Project mapping. If the customer licenses Freshsales Suite, we coordinate the Freshmarketer Campaign object for native campaign tracking. Schema is deployed into a Freshsales Sandbox or staging environment first for validation before production migration begins.
Sliding-window API extraction from Symplify
We run Symplify API batch exports in chronological sliding windows of up to 2 weeks per request. For multi-year histories, this means hundreds of sequential API calls stitched together with deduplication on our side. We track batchId polling progress per window and log all export results. We export Contacts first (the base identity), then Lists, then DataDocs, then Campaign metadata, then engagement events. We preserve originalId across all records for cross-referencing during transformation.
Transformation and split rule application
We transform exported Symplify data into Freshsales-compatible format: Contacts split into Leads and Contacts based on the scoping-defined rule, DataDocs mapped to custom objects or Notes, engagement events aggregated per contact and stored in custom fields, bounce and optout records mapped to HasOptedOutOfEmail. We deduplicate records from overlapping window boundaries using originalId as the dedupe key. All timestamps are preserved from the original Symplify export for audit.
Sandbox migration and reconciliation
We run a full migration into a Freshsales staging environment (Sandbox or test account) using the production data volume. The customer reconciles record counts against the Symplify source data, spot-checks 25-50 random contact records for field-level accuracy, and validates DataDoc JSON content in the custom objects. We correct any mapping errors identified during staging validation before proceeding to production. This step also validates that Freshsales field-level security and validation rules do not block import.
Production migration and cutover
We run the production migration in dependency order: Leads and Contacts first (base identity with optout flags set), Accounts (created from any contact company associations), custom objects (DataDocs after their parent contact records exist), engagement aggregates (custom fields on contacts), and finally Tags or Folders for project structure. We run a delta pass for any records modified during the migration window, then hand off to the customer for final validation. We deliver the Symplify Project and workflow inventory document for the customer's admin to evaluate for Freshsales rebuild.
Platform deep dives
Symplify Communication
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Freshsales.
Object compatibility
2 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
Answers to the questions buyers ask most during Symplify Communication to Freshsales migration scoping. Not seeing yours? Book a call.
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