CRM migration
Field-level mapping, validation, and rollback between Zymplify and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Zymplify
Source
Freshsales
Destination
Compatibility
3 of 8
objects map 1:1 between Zymplify and Freshsales.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Zymplify to Freshsales is a platform-downgrade migration from an intent-first all-in-one GTM suite to a sales-focused CRM. Zymplify bundles prospecting, marketing, sales, and customer success hubs under one login; Freshsales is the CRM product in Freshworks' suite, handling Contacts, Accounts, and Deals with Freddy AI for lead scoring and built-in phone and chat. The structural gap is intent data: Zymplify's Bombora-powered intent scores, G2 Buyer Intent signals, and Research Quadrant stages have no native Freshsales equivalent. We extract these as custom fields on the Account record so enrichment provenance survives the migration. Sales Cadences and Marketing Workflows are Zymplify-native sequences with no direct Freshsales counterpart; we export cadence structure as a definition document and create Freshsales Sequences or Automations records where the tier supports it. The migration scope covers standard CRM objects (Contacts, Accounts, Deals, Tasks, Events, Notes) plus custom field carry-forward for all intent metadata and custom properties. Workflows, automations, and the CDP hub's data-cleansing provenance do not migrate as code; we deliver a written inventory for the customer's admin to rebuild post-migration.
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 Zymplify 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.
Zymplify
Contacts
Freshsales
Contact
1:1Zymplify Contact records include standard fields (name, email, phone, job title, company association) plus enrichment provenance from intent data sources. We map these to Freshsales Contact with typed fields preserved directly. Any intent signal metadata attached at the contact level (contact-level intent scores from Bombora) is carried as a custom Contact field for reference but does not activate any Freshsales automation. Enrichment source attribution migrates as a text field on the Contact record.
Zymplify
Companies
Freshsales
Account
1:1Company records are Zymplify's primary anchor for intent data. All 20+ intent signals (Bombora intent spikes, G2 Buyer Intent, website visit intent) attach to the Company record. We map Zymplify Companies to Freshsales Accounts 1:1, with intent signal metadata carried as custom Account fields. Bombora intent scores, G2 intent signal sources, and intent spike timestamps are preserved as custom fields on the Account so enrichment provenance is available for manual prioritization even though Freshsales does not natively surface this data.
Zymplify
Deals / Pipeline Stages
Freshsales
Deal
1:1Zymplify Deals map to Freshsales Deal with a 1:1 stage mapping. Zymplify's customisable pipeline stages are preserved as-is in Freshsales Deal Stage values. Deal value, expected close date, and owner assignment migrate directly. We recommend creating Freshsales Deal custom fields for Zymplify's Closed-Lost reason and Closed-Won reason if those custom properties exist in the source schema.
Zymplify
Sales Cadences
Freshsales
Sequence
lossyZymplify Sales Cadences are outreach sequences combining email steps, delays, and task actions. Freshsales Sequences (available at Growth and Pro tier) provide email sequence functionality but do not natively support the full cadence model with task integration that Zymplify uses. We export cadence structure as a sequence definition document listing every step, delay, condition, and action, then create equivalent Freshsales Sequences where the tier supports it. Any cadence step that references Zymplify-specific triggers (intent-based activation) is flagged for manual rebuild as a Freshsales Automation.
Zymplify
Marketing Workflows
Freshsales
Automation
lossyZymplify Marketing Workflows are automation builders with triggers, conditions, and actions across the Marketing Hub. Freshsales Automations (Pro and above) provide record-triggered and time-based automations but use a different trigger-action model. We do not migrate workflows as code. We document every active Zymplify workflow with its trigger type, conditions, action sequence, and intended outcome as a requirements specification, so the customer's admin can rebuild equivalents in Freshsales Automations. Any workflow that relies on Bombora or G2 intent data as a trigger is flagged as requiring a manual redesign.
Zymplify
Research Quadrant (Account Intelligence)
Freshsales
Account (custom field)
lossyZymplify's Research Quadrant segments accounts into four phases (Initial, Interested, Active, In-Depth) representing where each account is in the buying journey. Freshsales has no native equivalent. We create a Research_Quadrant__c picklist field on the Account object with the four Zymplify values and carry the current stage for each account. This field does not trigger any Freshsales automation natively; the customer's admin can use it for manual prioritisation or add it as a filter in Freshsales Views and Reports.
Zymplify
Customer Success Hub / Churn Forecast
Freshsales
Account (custom fields)
lossyZymplify's customer health scores and churn risk indicators are Zymplify-native calculations combining engagement, product usage, and support ticket signals. Freshsales does not have a dedicated CS module. We extract the raw health signals (engagement frequency, support interaction count, contract health indicators) as custom fields on the Account record and flag that the scoring model itself does not migrate. If the customer also uses Freshdesk, we can scope a parallel engagement to connect Freshdesk ticket data to the Account as an enrichment source for manual health assessment.
Zymplify
Custom Properties / Tags
Freshsales
Custom Fields
lossyZymplify custom fields exist across all object types but the export schema is not publicly documented. We discover the full custom field inventory during the discovery phase, including field types and picklist values, then create equivalent custom fields in Freshsales before migration. Tags applied to Contacts and Companies are exported as a comma-separated custom field on the respective object, with a recommendation to rebuild the tagging taxonomy using Freshsales Labels and Views rather than relying on a flat tag string for filtering.
| Zymplify | Freshsales | Compatibility | |
|---|---|---|---|
| Contacts | Contact1:1 | Mapping required | |
| Companies | Account1:1 | Fully supported | |
| Deals / Pipeline Stages | Deal1:1 | Mapping required | |
| Sales Cadences | Sequencelossy | Mapping required | |
| Marketing Workflows | Automationlossy | Mapping required | |
| Research Quadrant (Account Intelligence) | Account (custom field)lossy | Fully supported | |
| Customer Success Hub / Churn Forecast | Account (custom fields)lossy | Mapping required | |
| Custom Properties / Tags | Custom Fieldslossy | Mapping required |
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.
Zymplify gotchas
No public pricing page — actual costs vary by directory
Intent data and workflows are Zymplify-native with no direct export
7-day free trial is insufficient to evaluate the platform
Integration ecosystem is thin and poorly documented
Vendor lock-in compounds migration complexity
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 Zymplify account to inventory all object types, record counts, custom field inventory (including intent signal metadata fields and Research Quadrant stage fields), active Sales Cadences, and Marketing Workflows. We review the Freshsales destination account to confirm the target tier (Free, Growth, Pro, or Enterprise) and identify any custom fields that already exist in the destination. The discovery output is a written migration scope that lists every Zymplify object and custom property, confirms its destination equivalent (or flags it as requiring a custom field or workflow rebuild), and includes a Freshsales tier recommendation based on the automation scope the customer wants to preserve.
Schema design and custom field provisioning
We create all required custom fields in Freshsales before any data migration begins. This includes the Research_Quadrant__c picklist on Account, intent signal metadata fields (bombora_intent_score__c, g2_intent_signal__c, intent_spike_date__c, intent_source__c), health metric fields from the Customer Success Hub, and tag fields for Contact and Account. We use Freshsales Admin Settings to create fields with correct types (picklist, text, number, date) so that type mismatches do not block import. Custom fields are validated in a Freshsales sandbox or trial org before production deployment.
Intent data extraction and transformation
We extract Company records from Zymplify as the primary intent data carrier. For each Company, we extract the Research Quadrant stage, all active intent signals with their source (Bombora, G2, website visit, technographic), and the last signal date. This data is transformed into the custom Account fields created in the previous step. Bombora-specific scoring (a proprietary scale) is stored as a numeric field without transformation assumptions, as the scale is Zymplify-specific and may not be meaningful outside the source platform. We flag any intent signal that appears to be null or absent in the source to prevent false zero values from overwriting existing Freshsales data.
Record migration in dependency order
We migrate records into Freshsales in dependency order: Accounts (from Zymplify Companies, with intent metadata), Contacts (from Zymplify Contacts, with enrichment provenance fields), Deals (from Zymplify Deals with owner resolution via email match to Freshsales User), Tasks and Events (engagement history including calls, meetings, and logged tasks), and Notes. Each phase emits a row-count reconciliation report showing records migrated versus records skipped or rejected, with reasons. Custom fields are populated during the same phase as their parent record; we do not run separate custom field migration passes. User/owner resolution uses email matching to connect Zymplify Hub Owners to Freshsales Users.
Cadence and workflow documentation for rebuild
We document every active Zymplify Sales Cadence and Marketing Workflow in a requirements specification. Each cadence entry lists the sequence name, number of steps, step type (email, delay, task, condition), delay duration, and intended recipient filter. Each workflow entry lists the trigger (intent signal, contact field change, form submission), conditions, and action sequence. We recommend the Freshsales Automations or Sequences equivalent for each and flag any step that uses intent data as a trigger (which cannot be replicated without the intent signal source). The customer uses this document to rebuild in Freshsales; we do not build Freshsales Automations or Sequences as part of standard migration scope.
Cutover and delta sync
We freeze Zymplify record writes during the cutover window, run a final delta migration to capture any records created or modified during the migration process, and enable Freshsales as the system of record. We deliver a final reconciliation report showing record counts in both systems, a custom field carry-forward log documenting every intent metadata field and its value in Freshsales, and the cadence/workflow documentation package. We support a five-business-day hypercare window to resolve any record-level reconciliation issues raised by the customer's team after cutover.
Platform deep dives
Zymplify
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Zymplify and Freshsales.
Object compatibility
3 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
Zymplify: Not publicly documented.
Data volume sensitivity
Zymplify 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
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