CRM migration
Field-level mapping, validation, and rollback between RSoft CRM and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
RSoft CRM
Source
Freshsales
Destination
Compatibility
8 of 10
objects map 1:1 between RSoft CRM and Freshsales.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from RSoft CRM to Freshsales is a lateral-tier migration with structural differences that need explicit resolution. RSoft organizes around Leads, Contacts, Companies, Deals, and Tickets with a tiered model that caps Standard and Advanced plans at 5 custom fields and 5 workflows, while Freshsales supports unlimited custom fields on Growth and above with a documented REST API for import. We extract RSoft data via CSV in strict dependency order (Companies before Contacts before Deals), clean and dedupe records during staging, then load into Freshsales through its native import API. The migration surfaces two significant data gaps that require explicit customer decisions: IVR call recording audio and WhatsApp conversation history do not export from RSoft via CSV, and RSoft workflow definitions have no export path, so we document the logic for the customer's admin to rebuild in Freshsales. Activity history (calls, emails, notes, tasks) migrates as Freshsales Activity records linked to the parent Contact or Deal by resolved owner and relationship.
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 RSoft CRM 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.
RSoft CRM
Contact
Freshsales
Contact
1:1RSoft Contact records map directly to Freshsales Contact. We map name, phone, email, address, lifecycle stage, and owner fields. If RSoft custom fields exceed the 5-field cap on the customer's current plan tier, we identify orphaned fields during discovery and surface them for the customer to review before import. Email deduplication runs during staging to prevent duplicate Contacts in Freshsales.
RSoft CRM
Lead
Freshsales
Lead
1:1RSoft Lead records (captured via web forms, WhatsApp, or manual entry) map to Freshsales Lead with source, status, score, assigned owner, and associated activities. The Lead-to-Contact conversion record from RSoft is preserved as a custom field for audit. RSoft's Lead score migrates as a custom numeric field in Freshsales if the destination plan supports it.
RSoft CRM
Company
Freshsales
Account
1:1RSoft Company records map to Freshsales Account. We map company name, industry, size, address, and owner. Company-to-Contact relationships are preserved during migration by sequencing Companies first in the load order so that AccountId is resolved at the moment of Contact insert, preventing orphaned Contact records without a parent Account.
RSoft CRM
Deal
Freshsales
Deal
1:1RSoft Deals map to Freshsales Deals with pipeline stage, amount, probability, expected close date, and owner preserved. RSoft's custom stage names and reorderable stages per pipeline map explicitly to Freshsales pipeline stages. Closed-Lost and Closed-Won reasons from RSoft custom fields map to Freshsales Deal status fields.
RSoft CRM
Pipeline Stage
Freshsales
Pipeline Stage
lossyRSoft custom stage names and reorderable stages per pipeline are extracted with their probability percentages and mapped to Freshsales pipeline stages during configuration. Stage-specific automation triggers from RSoft are documented in the automation inventory rather than migrated, since RSoft workflow definitions have no export path.
RSoft CRM
Activity
Freshsales
Activity
1:1RSoft Activities (calls, emails, SMS, notes logged against Contacts, Leads, or Deals) map to Freshsales Activity records. Call logs from IVR and autodialer are stored in RSoft-specific modules that do not appear in the standard CSV export, and these are flagged as a data gap during scoping. We migrate standard Activity fields via CSV import with parent-record lookup resolution.
RSoft CRM
Ticket
Freshsales
Ticket
1:1RSoft Ticket records (processing requests from email, online, phone, chat, and social media) map to Freshsales Ticket. We map ticket subject, status, priority, assignee, and conversation threads. Custom ticket fields are limited by plan tier on the RSoft side; we audit and surface any that exceed the customer's plan cap during discovery.
RSoft CRM
Tag
Freshsales
Tag
1:1RSoft Tags on Contacts, Leads, and Deals export via CSV and map as tags in Freshsales. We deduplicate tags during the staging phase before import. Tags used for segmentation in RSoft map to Freshsales's tag and segmentation model without transformation.
RSoft CRM
Owner
Freshsales
User
1:1RSoft user accounts map to Owner fields on Deals, Contacts, Leads, and Tickets. We extract the full RSoft user roster and match by email against Freshsales destination users. Any RSoft owner with no matching Freshsales user enters a reconciliation queue, and the customer's admin provisions the missing user before record import resumes.
RSoft CRM
Custom Field
Freshsales
Custom Field
lossyRSoft custom fields above the customer's plan cap (5 on Standard and Advanced plans) are identified during discovery and reviewed with the customer before migration. We create equivalent custom fields in Freshsales Growth or above where the tier supports them. Fields that cannot map due to destination plan limits are flagged and documented for the customer to prioritize post-migration.
| RSoft CRM | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| Activity | Activity1:1 | Fully supported | |
| Ticket | Ticket1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Owner | User1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | 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.
RSoft CRM gotchas
Add-on cost stacking inflates the headline price
Custom fields and workflows are tier-gated
IVR call logs and WhatsApp conversations do not export via CSV
No publicly documented API rate limits or bulk endpoints
Record limits vary by plan tier
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 plan tier audit
We audit the source RSoft CRM account across plan tier, total record counts per object, custom field names and types, active workflow names, pipeline count, stage labels, owner roster, and any add-on usage (IVR, WhatsApp, autodialer). We also identify the scope of WhatsApp and IVR data that will not export via CSV. The discovery output is a written migration scope document with a data gap register, a field mapping table, and a Freshsales plan recommendation based on the customer's data model complexity.
CSV extraction in dependency order
We extract RSoft data via CSV in strict dependency order: Companies first, then Contacts, then Deals, then Activities, then Tickets, then Tags. This ordering preserves the parent-record relationships that would otherwise be orphaned in a flat CSV import. We extract to a staging directory, generate an extraction manifest with row counts per object, and validate that every exported record has a valid owner reference before proceeding.
Staging, cleaning, and owner reconciliation
We stage the extracted CSV in a migration workbench, run deduplication (removing exact duplicate contacts and companies by email and domain), standardize phone number formats, clean incomplete address fields, and flag records with missing required fields. We also reconcile the RSoft owner roster against Freshsales users by email match. Any RSoft owner without a Freshsales equivalent goes to a reconciliation queue for the customer's admin to resolve before the next phase.
Freshsales schema pre-configuration
We configure the Freshsales destination schema before any data loads. This includes creating any custom fields that correspond to RSoft custom fields (subject to the destination plan tier), setting up Deal pipelines and stage labels to match RSoft pipeline stages, configuring Freshsales Workflows if the Growth plan or above is selected, and setting up user roles that correspond to the RSoft owner structure. Schema configuration is validated in the Freshsales sandbox or a staging environment before production migration.
Production migration in record-dependency order
We run the production migration into Freshsales in record-dependency order: Accounts (from RSoft Companies), Contacts (with AccountId resolved), Leads, Deals (with Contact and Account lookups resolved), Activities, Tickets, and Tags. Each phase emits a row-count reconciliation report showing records attempted, records loaded, records skipped, and records held for reconciliation. Activity migration runs last because it depends on all parent records being present.
Cutover, validation, and automation handoff
We freeze writes to RSoft during cutover, run a final delta migration of any records modified during the migration window, then enable Freshsales as the system of record. We deliver the workflow inventory document to the customer's admin team for Freshsales Workflow rebuild. We support a one-week post-cutover window to resolve any reconciliation issues. We do not rebuild RSoft workflows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
RSoft CRM
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across RSoft CRM and Freshsales.
Object compatibility
4 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
RSoft CRM: Not publicly documented.
Data volume sensitivity
RSoft CRM 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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