CRM migration
Field-level mapping, validation, and rollback between ContactDB and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
ContactDB
Source
Freshsales
Destination
Compatibility
5 of 8
objects map 1:1 between ContactDB and Freshsales.
Complexity
CModerate
Timeline
1-2 weeks
Overview
ContactDB is a purchased B2B contact database with 30M+ records but no CRM capabilities, no activity tracking, and no programmatic API. Freshsales is a full CRM from Freshworks with Contacts, Accounts, Leads, Deals, and built-in phone and AI features starting at $9 per user per month. The migration is a flat-record-to-relational transformation: each ContactDB contact becomes a Freshsales Contact, its company attributes become a Freshsales Account (deduplicated by company name), and any contact segments become multi-value custom properties on the Contact. Because ContactDB exposes no API, we ingest the customer's CSV export package directly, apply pre-import validation to flag stale or malformed records, and load through Freshsales' bulk import API. We do not migrate workflows, automations, sequences, or engagement history—none of these exist in ContactDB. Freshsales' Lead and Contact split does not apply here because the source data contains no qualification or lifecycle data to route; all records land as Contacts unless the customer explicitly requests a Lead classification strategy.
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 ContactDB 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.
ContactDB
Contact
Freshsales
Contact
1:1Each ContactDB contact record maps to a Freshsales Contact. Core fields migrate directly: First Name, Last Name, Email, Phone, Mobile Number, Job Title. We validate email format before import and flag records with malformed or missing email for customer review. The Freshsales Contact is created before the Account lookup is resolved, so a two-phase insert (Contacts first, then Accounts) ensures the foreign-key relationship is satisfied.
ContactDB
Company attributes (per contact)
Freshsales
Account
1:manyContactDB exposes company name, company size, industry, and SICCODE as per-contact firmographic fields. We extract all distinct company names from the contact export, deduplicate by exact name match, and create one Freshsales Account per unique company. Company size maps to Number of Employees on the Account, industry maps to Industry picklist, and SICCODE is stored in a custom Account field for reference. This is a 1:N merge because multiple ContactDB contacts may share the same company.
ContactDB
Contact
Freshsales
Contact (Account Lookup)
1:1After Account creation, we resolve the AccountId on each Contact by matching the ContactDB company name to the newly created Freshsales Account name. This lookup is performed in-memory before the bulk import to avoid Freshsales rejecting records with unresolved foreign keys.
ContactDB
Segment criteria (implied by list purchase)
Freshsales
Custom multi-select field on Contact
lossyContactDB segments contacts by industry, profession, title, country, and software usage, but these criteria are not exported as standalone tag objects. We reconstruct segment membership as a custom multi-select picklist field on the Contact in Freshsales. The customer confirms during scoping which segment categories are meaningful; each criteria axis becomes a selectable value in the custom field. This is a best-effort reconstruction and requires the customer to define the segment taxonomy in Freshsales before migration.
ContactDB
Firmographic attributes
Freshsales
Custom fields on Account and Contact
lossySICCODE, credit rating, and other ContactDB firmographic fields that have no direct Freshsales standard field equivalent are stored in custom fields. We create custom fields on the Account object (SICCODE, credit rating, company size tier) and on the Contact object (original source list name, contact tier) before import. Custom fields are provisioned in the customer's Freshsales tenant at the Growth tier or above during the pre-migration setup phase.
ContactDB
No object equivalent
Freshsales
Lead
1:1ContactDB does not provide qualification, lead status, or lifecycle data, so there is no basis for splitting records into Freshsales Leads versus Contacts. All records migrate as Contacts. If the customer wants a Lead strategy post-migration—using Freshsales' Lead Scoring, lead status fields, or lead conversion workflow—they define it after migration and apply it to the imported contact set. This is a post-migration administration decision, not a migration-time mapping.
ContactDB
None
Freshsales
Deal
1:1ContactDB does not store pipeline stages, deal values, or deal status. No deal records exist to migrate. If the customer is using ContactDB contacts in conjunction with a separate pipeline tool, deals are documented as a separate migration scope.
ContactDB
None
Freshsales
Task, Event, EmailMessage
1:1ContactDB does not store engagement history. There are no calls, emails, meetings, tasks, or notes to migrate. Freshsales will begin accumulating this activity data from the moment contacts are imported and outreach begins.
| ContactDB | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company attributes (per contact) | Account1:many | Fully supported | |
| Contact | Contact (Account Lookup)1:1 | Fully supported | |
| Segment criteria (implied by list purchase) | Custom multi-select field on Contactlossy | Fully supported | |
| Firmographic attributes | Custom fields on Account and Contactlossy | Fully supported | |
| No object equivalent | Lead1:1 | Fully supported | |
| None | Deal1:1 | Fully supported | |
| None | Task, Event, EmailMessage1:1 | 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.
ContactDB gotchas
No public API requires manual CSV export
No engagement or lifecycle data to migrate
Segment membership is not a first-class object
Data freshness depends on purchase 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
Export package intake and scoping
The customer downloads the full contact export package from the ContactDB portal and shares it with FlitStack AI. We audit the CSV structure, column count, and field coverage. We identify any multi-segment exports (multiple CSV files) and assess whether they cover overlapping or distinct contact sets. We confirm with the customer which segment criteria axes to preserve and define the target Freshsales custom field schema (multi-select for segments, text or picklist for firmographic fields). We also establish the dedupe strategy (email-based, with keep-first or keep-last rule) at this stage.
Custom field provisioning in Freshsales
Before any data import, we create the custom fields in the customer's Freshsales tenant: a multi-select picklist on Contact for segment membership (populated with the customer's confirmed segment values), a text field for SICCODE on Account, a text field for credit rating on Account, and a text field for original source list name on Contact. Custom fields require a Freshsales Growth plan or above. We coordinate with the customer's Freshsales admin to deploy these via the Admin Settings UI or API before the import phase begins.
Data validation and dedupe pass
We run a pre-import validation pass against the ContactDB export: email format validation (RFC 5322 regex), title plausibility check, company name normalization (trimming, removing suffixes like Inc/LLC for matching accuracy), and a bounce-risk flag for records with missing email. We then run the dedupe pass by email address, consolidating duplicates and retaining the record with the most recent timestamp. We produce a validation report and a dedupe report for customer review before proceeding to import.
Account creation with firmographic normalization
We extract all distinct company names from the validated contact set, deduplicate by normalized name, and create Freshsales Account records. Company size from ContactDB maps to Number of Employees on the Account (converting any text tiers like '51-200' to a numeric midpoint). Industry maps to the Freshsales Industry picklist. SICCODE is stored in the custom Account field created in Step 2. Account creation runs as a separate phase before Contact import so that the AccountId lookup is available at Contact insert time.
Contact bulk import with Account lookup resolution
We import contacts via Freshsales' bulk import API, resolving AccountId for each Contact by matching the ContactDB company name to the Freshsales Account name created in the prior step. Segment membership is written to the custom multi-select field as a comma-separated value set. The import emits a row-count reconciliation report: total contacts loaded, contacts skipped (invalid email), accounts created, and any import errors. The customer reviews and approves the reconciliation before sign-off.
Cutover and post-migration handoff
We confirm the final record counts in Freshsales match the validated import totals and hand off to the customer's Freshsales admin. We deliver a written migration summary documenting: records imported by object, custom fields created, segment values mapped, and any records skipped or flagged during validation. We do not migrate workflows, sequences, or automations because none exist in ContactDB. The customer's admin implements Freshsales' built-in automation tools post-migration as a separate administration task.
Platform deep dives
ContactDB
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 2 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across ContactDB and Freshsales.
Object compatibility
2 of 8 objects need a manual workaround.
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
ContactDB: Not applicable — no live API surface..
Data volume sensitivity
ContactDB 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 ContactDB to Freshsales migration scoping. Not seeing yours? Book a call.
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