CRM migration
Field-level mapping, validation, and rollback between DinamikCRM and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
DinamikCRM
Source
Freshsales
Destination
Compatibility
8 of 9
objects map 1:1 between DinamikCRM and Freshsales.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Migrating from DinamikCRM to Freshsales requires navigating a schema mismatch between DinamikCRM's 40+ module system and Freshsales' standard CRM data model. DinamikCRM organizes data around whatever modules are active in a given account, meaning no two accounts share the same schema without prior discovery. We begin each migration with a module-enumeration phase that extracts the live field definitions per account before any data export begins. From there we map DinamikCRM Contacts and Companies to Freshsales Contacts and Accounts, resolve Deals and pipeline stages to Freshsales Deals with the appropriate pipeline assignment, and transfer activity history (calls, emails, meetings, tasks) to Freshsales' Activity records linked to the correct parent Contact or Account. Custom modules and custom fields from DinamikCRM migrate to Freshsales custom fields, with multi-select or multi-value fields converted to Freshsales multi-select picklists. Workflows, automation rules, and module-level business logic configured in DinamikCRM do not export via API; we deliver a written inventory of these for the customer's admin to rebuild in Freshsales using the workflow 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 DinamikCRM 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.
DinamikCRM
Contact
Freshsales
Contact
1:1DinamikCRM Contact records map directly to Freshsales Contact. Standard fields (name, email, phone, address) map to Freshsales Contact's corresponding fields. We resolve any DinamikCRM contact-to-company relationship and set the Freshsales Contact's Account lookup to the mapped Freshsales Account. Custom fields on DinamikCRM Contact migrate to Freshsales custom fields on the Contact object.
DinamikCRM
Company
Freshsales
Account
1:1DinamikCRM Company records map to Freshsales Account. The company name becomes Account Name, and any domain or website field maps to the Freshsales Account website field. We create the Account before importing Contacts so the Account lookup is satisfied at Contact insert time. Company-specific custom fields migrate to Freshsales custom fields on Account.
DinamikCRM
Lead
Freshsales
Lead
1:1DinamikCRM Lead records map to Freshsales Lead. Lead status values from DinamikCRM map to Freshsales Lead Status picklist, with unmapped statuses added as custom picklist values during Freshsales configuration. Any lead score or rating field in DinamikCRM migrates to Freshsales custom fields for sales rep reference.
DinamikCRM
Deal
Freshsales
Deal
1:1DinamikCRM Deal records map to Freshsales Deal. Deal name, value, stage, and owner map directly. We map DinamikCRM pipeline stages to Freshsales pipeline stages, creating the Freshsales pipeline structure before migration. Deal-to-contact or Deal-to-company relationships resolve to the Freshsales Deal's Contact lookup or Account lookup as appropriate.
DinamikCRM
Activity
Freshsales
Task
1:1DinamikCRM Activity records (calls, emails, tasks) map to Freshsales Task records. Activity type determines the Task subtype. We preserve the original timestamp as Activity Date, map the owner to the corresponding Freshsales User, and link the Task to the parent Contact or Account via WhoId and AccountId resolution.
DinamikCRM
Appointment
Freshsales
Event
1:1DinamikCRM Appointment records map to Freshsales Event records. Appointment start time, end time, attendee, location, and description migrate to the corresponding Freshsales Event fields. Attendees resolve to Freshsales Contact or User records via email matching, and the Event links to the parent Contact or Account record.
DinamikCRM
Pipeline (module)
Freshsales
Pipeline (Freshsales)
lossyDinamikCRM pipeline stages and stage ordering map to Freshsales pipeline configuration. We create the Freshsales pipeline with matching stage names and probabilities before Deal import begins. Any custom stage logic (automated stage transitions, required fields per stage) is flagged in the migration inventory for manual configuration in Freshsales.
DinamikCRM
Custom Module (varies per account)
Freshsales
Custom Fields on standard objects
1:1DinamikCRM's extensible module system means custom modules vary per account. We discover all active custom modules during the discovery phase, extract their field definitions, and map each module's records to Freshsales custom fields on the most logically related standard object (Contact, Account, or Deal). Module-to-module lookup relationships become custom lookup fields in Freshsales where the target object supports custom lookups.
DinamikCRM
User / Owner
Freshsales
User
1:1DinamikCRM user accounts map to Freshsales Users. We match by email address. Any DinamikCRM owner without a corresponding Freshsales User is held in a reconciliation queue for the customer's admin to provision before record migration resumes, because OwnerId is a required reference on Deal and Activity records.
| DinamikCRM | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Activity | Task1:1 | Fully supported | |
| Appointment | Event1:1 | Fully supported | |
| Pipeline (module) | Pipeline (Freshsales)lossy | Fully supported | |
| Custom Module (varies per account) | Custom Fields on standard objects1:1 | Fully supported | |
| User / Owner | 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.
DinamikCRM gotchas
Custom module schema varies per account
API documentation does not disclose rate limits
No documented bulk export endpoint
Module-level business logic may not transfer
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 module enumeration
We conduct a scoping call with the customer's DinamikCRM admin to enumerate every active module in the account, confirm which contain data, and extract the live field definitions for each. We identify the objects that will map directly (Contacts, Companies, Leads, Deals, Activities, Appointments) and flag any custom modules requiring custom field mapping. We also capture the current pipeline stage names, owner assignments, and any data volume estimates for timeline planning.
Freshsales account provisioning and schema design
The customer provisions a Freshsales account at the appropriate plan tier (Growth for most SMB migrations, Pro or Enterprise if advanced workflow automation or higher API rate limits are required). We configure the Freshsales pipeline structure to match DinamikCRM stage names and order, create any required custom fields mapped from DinamikCRM custom modules, and set up the user roster matching DinamikCRM owners to Freshsales users by email.
Sandbox validation migration
We run a full migration into the Freshsales account using a representative data sample to validate the mapping logic, confirm that custom fields appear correctly on the right objects, and verify that pipeline stage assignments match the original DinamikCRM structure. The customer's RevOps lead reviews record counts and spot-checks migrated records before we proceed to production.
Owner reconciliation and user provisioning
We extract every distinct DinamikCRM owner referenced on any migrating record and match by email against the Freshsales User table. Any owner without a matching Freshsales User goes to a reconciliation queue for the customer to provision before record migration continues, because Freshsales requires a valid OwnerId on Deals and Activity records.
Production migration in dependency order
We migrate records in dependency order: Accounts (from DinamikCRM Companies) first, then Contacts with AccountId resolved, then Leads, then Deals with pipeline assignments and OwnerId resolved, then Activity history (Tasks and Events) linked to the correct Contact or Account. Custom module data from DinamikCRM maps to Freshsales custom fields on the appropriate standard object during each phase. Each phase emits a row-count reconciliation report before the next begins.
Cutover, final validation, and automation handoff
We freeze DinamikCRM writes during cutover, run a delta migration for any records modified during the migration window, then hand the Freshsales account to the customer's team as the system of record. We deliver a written inventory of every identified DinamikCRM workflow and automation rule with a description and recommended Freshsales workflow builder equivalent. We do not rebuild workflows inside the migration scope; that work belongs to the customer's admin or a Freshsales implementation partner.
Platform deep dives
DinamikCRM
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 DinamikCRM 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
DinamikCRM: Not publicly documented.
Data volume sensitivity
DinamikCRM 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 DinamikCRM to Freshsales migration scoping. Not seeing yours? Book a call.
Walk through your DinamikCRM to Freshsales migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave DinamikCRM
Other ways to arrive at Freshsales
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.