CRM migration
Field-level mapping, validation, and rollback between VBOUT and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
VBOUT
Source
Freshsales
Destination
Compatibility
6 of 9
objects map 1:1 between VBOUT and Freshsales.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from VBOUT to Freshsales is a data-model convergence as much as a record migration. VBOUT organizes around Contacts with Smart Audiences, Tags, and marketing-centric objects (landing pages, forms, email campaigns) that have no native Freshsales equivalent. Freshsales uses a conventional sales CRM schema: Leads for unqualified prospects, Contacts attached to Accounts for companies, and Deals (Opportunities) for pipeline tracking. We handle that structural shift by mapping VBOUT Contacts to Freshsales Leads or Contacts depending on their lifecycle context, carrying forward any lead scores as custom fields, and tagging pipeline stage data so nothing is lost in transit. Automation workflows, landing pages, and forms do not migrate as code; we deliver a written inventory of every workflow definition and form structure for the customer's admin to rebuild in Freshsales. VBOUT's 15 req/sec API rate limit governs our extraction cadence, and we chunk bulk contact exports accordingly to avoid HTTP 429 responses.
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 VBOUT 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.
VBOUT
Contact
Freshsales
Lead or Contact (split required)
1:manyVBOUT Contacts map to Freshsales Leads or Contacts depending on lifecycle context. VBOUT does not have a separate Lead object, so we evaluate each Contact's Tags, Lead Score, and source attribution to determine whether it qualifies as a Freshsales Lead (unqualified prospect) or Contact (qualified, attached to an Account). We preserve the original VBOUT contact ID in a custom field vbout_contact_id__c and carry forward any Lead Score as a numeric custom field for Freddy AI to use immediately after migration.
VBOUT
Lead
Freshsales
Lead
1:1VBOUT Leads (distinct from Contacts in its soft CRM model) map directly to Freshsales Lead records. We preserve source attribution, assignment data, and any lead score. Freshsales requires the customer to map VBOUT lead custom fields to Freshsales Lead custom fields before import via Admin Settings > Leads Module > Add Field; we document the required field creation and execute the mapping during import.
VBOUT
Company
Freshsales
Account
1:1VBOUT Company records map directly to Freshsales Account. Domain data from VBOUT becomes the Account Website field and is used as the dedupe key during import. Freshsales Accounts must exist before Contacts are imported so that the Account-Contact lookup relationship is satisfied at insert time.
VBOUT
Tag
Freshsales
Custom Field (multi-select picklist) or Contact/Lead field
lossyVBOUT Tags encode pipeline stages, segment membership, and contact classification. Tags migrate to Freshsales as either a custom multi-select picklist field on Contact/Lead or as individual custom fields depending on tag usage density. Pipeline stage tags are isolated and mapped to Freshsales Deal stage values so stage context is not lost. The customer chooses the tag strategy during scoping.
VBOUT
Custom Field
Freshsales
Custom Field
1:1VBOUT custom fields on Contacts and Leads (dropdown, conditional, payment field types) require type mapping to Freshsales field types because VBOUT uses field variants that do not map 1:1. We perform a field-by-field type audit during scoping and create matching Freshsales custom fields under Admin Settings before migration. The Freshsales field mapping dropdown during lead conversion is pre-configured based on this audit so no data is lost on Lead-to-Contact conversion.
VBOUT
Deal / Pipeline Stage
Freshsales
Deal
1:1VBOUT encodes pipeline stages as Tags on Contact records rather than as a formal deal object. We extract stage-tagged Contacts and create Freshsales Deal records with stage name, probability, and close date populated. The Freshsales Deal object links to the Contact and Account via ContactId and AccountId. Pipeline stage names from VBOUT tags are used to populate Freshsales Deal Stage values that the customer configures in Admin Settings before migration.
VBOUT
Email Campaign history
Freshsales
Contact custom activity log or Deal note
1:1VBOUT sent campaign history (subject, send date, open/click data) exports as structured data. We import this as a custom activity log on the corresponding Freshsales Contact record or as a Deal note with campaign metadata. VBOUT email templates cannot transfer as deployable assets; they are exported as content artifacts for manual rebuild in Freshsales templates or Freshmarketer.
VBOUT
Form
Freshsales
Web-to-Lead or custom form configuration
1:1VBOUT form field definitions and conditional logic export cleanly. We produce a Freshsales Web-to-Lead configuration and a field-by-field mapping document. Payment form records export with transaction metadata but payment instrument data is excluded (PCI scope). Visual form layout and conditional branching must be manually rebuilt in Freshforms or Web-to-Lead.
VBOUT
Automation Workflow
Freshsales
Workflow (rebuild required)
lossyVBOUT automation workflows store in a proprietary JSON schema tied to its trigger-action builder and are not cross-platform portable. We export the workflow definition as a structured JSON artifact and produce a step-by-step rebuild guide mapped to Freshsales' Automation Rules editor. The customer must manually replicate multi-step workflows in Freshsales after migration. This is documented in the delivered workflow inventory, not executed during migration.
| VBOUT | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split required)1:many | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Tag | Custom Field (multi-select picklist) or Contact/Lead fieldlossy | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Deal / Pipeline Stage | Deal1:1 | Fully supported | |
| Email Campaign history | Contact custom activity log or Deal note1:1 | Fully supported | |
| Form | Web-to-Lead or custom form configuration1:1 | Fully supported | |
| Automation Workflow | Workflow (rebuild required)lossy | 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.
VBOUT gotchas
Email send volume is tier-gated, not contact-gated
Automation workflows are not cross-platform portable
API rate limit of 15 req/sec forces migration chunking
Dashboard reports are UI-native and not exportable
Calendar booking does not sync to external calendars
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 scoping
We audit the source VBOUT portal for record counts across Contacts, Leads, Companies, Tags, Custom Fields, and pipeline stage Tags. We identify email campaign history volume, form count, and automation workflow definitions for the inventory artifact. We review the Freshsales destination account for existing custom fields, Deal stages, and pipeline configuration. The discovery output is a written migration scope, a pre-migration field creation checklist for Freshsales, and a data volume estimate that determines extraction batching strategy against VBOUT's 15 req/sec rate limit.
Custom field pre-creation and tag strategy
We work with the customer's Freshsales admin to create every target custom field in Admin Settings before any data is migrated. For lead fields, we configure the Field Mapping dropdown so that data survives Lead-to-Contact conversion. We agree on the tag strategy: whether VBOUT Tags migrate as a multi-select picklist on Contact/Lead or as individual custom fields, and which Tags map to Freshsales Deal stage values. This step is critical because Freshsales will silently drop data for fields that do not exist at import time.
VBOUT data extraction with rate-limit handling
We extract all VBOUT records via the REST API using a chunking strategy that stays within the 15 req/sec ceiling. Large contact lists are split into pages of 500 records and queued with exponential backoff between requests. We extract engagement history (email campaign opens, clicks, form submissions) as structured CSV alongside the API export. Tags are extracted as a flat list with the associated Contact/Lead IDs so that tag-to-field mapping can be applied during the Freshsales import.
Sandbox test migration and reconciliation
We run a test migration into the customer's Freshsales sandbox or a staging account using a representative 10-15 percent sample of production data. The customer's admin spot-checks 25-50 random records field by field against the VBOUT source, verifies that Tags have landed in the correct custom fields or Deal stages, and confirms that Lead-to-Contact field mapping is working as expected. Any mapping corrections are applied before production migration begins.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from VBOUT Companies), Leads (from VBOUT Contacts marked as unqualified and VBOUT Leads), Contacts (with AccountId resolved), Deals (created from pipeline stage Tags with stage, probability, and close date populated), Custom Field data (linked to the correct Contact/Lead/Account/Deal records), and engagement activity history (as activity log entries on Contact records). Each phase emits a row-count reconciliation report before the next phase begins. We apply rate-limit backoff throughout extraction from VBOUT and use Freshsales' batch import API with chunking on the ingestion side.
Cutover, validation, and workflow inventory handoff
We freeze VBOUT writes during the final cutover window, run a delta migration of any records modified during the migration window, then enable Freshsales as the system of record. We deliver the automation workflow inventory (JSON definitions and Freshsales rebuild guides), the form structure export, and the campaign history artifact. We support a 72-hour hypercare window for reconciliation issues. We do not rebuild VBOUT automation workflows, landing pages, or forms in Freshsales; those are delivered as documentation for the customer's admin to implement post-migration.
Platform deep dives
VBOUT
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 VBOUT 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
VBOUT: 15 requests per second per org; HTTP 429 on breach with exponential backoff required.
Data volume sensitivity
VBOUT 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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