CRM migration
Field-level mapping, validation, and rollback between Barantum CRM and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Barantum CRM
Source
Freshsales
Destination
Compatibility
9 of 10
objects map 1:1 between Barantum CRM and Freshsales.
Complexity
BStandard
Timeline
1-3 weeks
Overview
Moving from Barantum CRM to Freshsales is a geographic and structural shift. Barantum is an Indonesia-focused omnichannel platform bundling CRM, WhatsApp Business API chat, and VoIP call center in one subscription, priced in Rp per 3-user bundles. Freshsales is part of the Freshworks suite, priced in USD per seat with Freddy AI-powered lead scoring, a visual deal pipeline, and native integrations within the Freshworks ecosystem (Freshdesk, Freshcaller, Freshchat). The migration requires extracting WhatsApp conversation threads from Barantum's embedded contact profile model, translating Indonesian-currency deal values to the destination currency, resolving Barantum's per-3-users owner structure to Freshsales per-seat users, and creating a stage-mapping table for any custom pipeline stages. Workflows and automations built in Barantum do not migrate; we deliver a written inventory of each for your admin to rebuild in Freshsales' automation builder.
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 Barantum 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.
Barantum CRM
Contact
Freshsales
Contact
1:1Barantum Contact records (name, phone, email, profile details, WhatsApp linkage) map directly to Freshsales Contact. We preserve the Barantum contact ID as an external_id field for reconciliation. WhatsApp-linked profile data is separated from the contact profile and migrated as linked Activity records (see Chat Conversations mapping). Email and phone serve as dedupe keys during import; any duplicates are flagged for admin resolution before final commit.
Barantum CRM
Company
Freshsales
Account
1:1Barantum Company records serve as parent entities grouping related contacts. They map to Freshsales Account with the company name, address, industry, and any custom fields preserved. We import Accounts first to satisfy the lookup relationship required when importing Contacts. If Barantum company-contact relationships use name-matching rather than explicit foreign keys, we resolve the Account-Contact linkage by company name lookup before Contact insert.
Barantum CRM
Deal
Freshsales
Deal
1:1Barantum Deals track sales opportunities with stage, value, owner, expected close date, and product line items. We map each Barantum pipeline to a Freshsales Deal pipe and create a stage-mapping table during scoping so that Barantum stage labels translate to Freshsales stage values. Deal amount is stored in Indonesian Rupiah; we apply the customer's specified exchange rate at migration time and store the original currency value in a custom field for audit. Owner maps by email to Freshsales User.
Barantum CRM
Lead
Freshsales
Lead
1:1Barantum Leads (captured via forms, imports, or chatbot interactions) map to Freshsales Lead with lead source, status, and custom fields preserved. The Barantum lead_status field maps to Freshsales Lead Status. We flag any Barantum leads that have already been converted to Contacts and ensure the Freshsales Lead conversion mapping (Lead to Contact, Account, and Deal) is configured before migration so that converted leads do not lose their association data.
Barantum CRM
Ticket
Freshsales
Ticket
1:1Barantum Tickets store customer service issues with description, status, assigned agent, and conversation history. They map to Freshsales Ticket with subject, description, status, priority, and agent assignment. Barantum ticket pipeline stages map to Freshsales Ticket statuses. Agent assignment resolves by email to Freshsales User. Ticket conversation transcripts migrate as linked Notes or Activities depending on the customer's preference for activity timeline versus a threaded view.
Barantum CRM
Meeting
Freshsales
Meeting
1:1Barantum Meeting records (title, scheduled time, attendees, outcome notes) map to Freshsales Meeting. Start time, end time, location, and outcome preserve. Attendees resolve by email to Freshsales Contacts or Leads. Recurring meetings in Barantum are enumerated as individual Meeting records and imported as a series with the recurrence pattern documented in a custom field for manual reconstruction in Freshsales calendar if needed.
Barantum CRM
Activity
Freshsales
Activity
1:1Barantum Activity logs (call logs, notes, task completions tied to contacts or deals) map to Freshsales Activity records. We enumerate available Barantum activity types during discovery and map each to a Freshsales Activity type (Task or Event). Activity timestamp, description, and owner migrate. Activities without a resolved parent record (Contact, Deal, or Account) are held in a staging queue and linked after parent record migration completes.
Barantum CRM
Chat Conversation
Freshsales
Activity (Note or Task)
1:manyThis is the highest-severity mapping step. Barantum stores WhatsApp conversation threads embedded in contact profile records as linked conversation data. Freshsales does not embed chat threads in the contact profile. We extract every conversation thread, timestamp it to the original message date, and insert it as a Freshsales Activity record (type Note or Task depending on configuration) linked to the Contact. We run a reconciliation check comparing Barantum contact count to migrated activity records to catch orphaned threads. Media files from WhatsApp (images, documents) are downloaded and attached as Freshsales Attachments linked to the parent Activity.
Barantum CRM
Call Record
Freshsales
Call
1:1Barantum VoIP call center logs (direction, duration, agent extension, recording links) map to Freshsales Call records. Call disposition, duration in seconds, and recording URL migrate to custom Call fields. Agent extension resolves by email to Freshsales User for ownership. Call recordings are downloaded as audio files and attached to the Call record as file attachments. If Freshsales is on a lower tier without native call logging, call records migrate as Tasks with call subtype and custom duration fields.
Barantum CRM
User/Agent
Freshsales
User
1:1Barantum User and agent accounts (name, email, role, extension) are exported for owner mapping. We resolve each Barantum agent by email against Freshsales User records. Any Barantum owner without a matching Freshsales User goes to a reconciliation queue for the customer's admin to provision before record migration proceeds. We do not create Freshsales user seats as part of the data migration; that is an administrative step the customer controls to match their actual seat count.
| Barantum CRM | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Ticket | Ticket1:1 | Fully supported | |
| Meeting | Meeting1:1 | Fully supported | |
| Activity | Activity1:1 | Fully supported | |
| Chat Conversation | Activity (Note or Task)1:many | Fully supported | |
| Call Record | Call1:1 | Fully supported | |
| User/Agent | User1:1 | 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.
Barantum CRM gotchas
WhatsApp conversation history coupling to contacts
Workflow automations do not export via API
Per-3-users pricing creates minimum seat tiers
Enterprise customizations are man-days priced
API key authentication lacks granular scope controls
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 migration scope definition
We audit the source Barantum account: active users and agents, record counts by object (Contacts, Companies, Deals, Leads, Tickets, Meetings, Activities, Chat Conversations, Call Records), custom field inventory, pipeline count and stage labels, and active workflows. We extract WhatsApp conversation volume to scope the activity-split step. We confirm the target Freshsales plan tier based on required features (Lead scoring and Freddy AI require Garden or above). The discovery output is a written scope document with record counts, object mapping, stage mapping, and a workflow audit worksheet.
Currency and owner mapping preparation
We establish the IDR-to-USD exchange rate to apply during migration and configure a custom currency field in Freshsales to preserve original Barantum values. We extract the full list of Barantum users and agents and match by email against the destination Freshsales User table. Any owner without a Freshsales User account goes to a reconciliation queue. The customer's admin provisions missing Users before production migration begins because OwnerId is a required reference on most standard objects.
WhatsApp conversation extraction and activity split
We extract every WhatsApp conversation thread from Barantum contact records, parse the thread into individual message records with timestamps and sender attribution, and format them as Freshsales Activity records. This is the most time-intensive step for accounts with heavy WhatsApp usage. Media files (images, voice notes, documents) are downloaded separately and attached to the corresponding Activity records. We run a reconciliation check comparing Barantum contact count to migrated activity record count to catch any threads that were not successfully extracted.
Sandbox migration and sign-off
We run a full migration into a Freshsales sandbox using production-like data volumes. The customer's admin reviews record counts (Contacts in, Accounts in, Deals in, Leads in, Activities in, Tickets in), spot-checks 20-30 random records against the Barantum source, and verifies pipeline stage labels and currency values. Any mapping corrections are applied before production migration. The admin signs off on the sandbox results before we proceed to production.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Barantum Companies), Contacts (with WhatsApp conversations split to Activities), Deals (with stage mapping applied and currency converted), Leads, Tickets, Meetings, Activities, Call Records, and Custom Fields. Each phase emits a row-count reconciliation report before the next phase begins. We use Freshsales' REST API for record inserts with batch handling and exponential backoff on rate-limit responses.
Cutover, validation, and workflow handoff
We freeze Barantum writes during cutover, run a final delta migration of any records modified during the migration window, then set Freshsales as the system of record. We deliver the workflow audit worksheet listing every Barantum automation with its trigger, conditions, actions, and a recommended Freshsales automation equivalent. We support a three-day hypercare window for reconciliation issues. We do not rebuild Barantum workflows as Freshsales automations inside the migration scope; that is a separate rebuild task for the customer's admin.
Platform deep dives
Barantum CRM
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 5 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 Barantum CRM and Freshsales.
Object compatibility
5 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
Barantum CRM: Not publicly documented — typical SaaS limits assumed and confirmed during scoping.
Data volume sensitivity
Barantum CRM exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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FAQ
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