CRM migration
Field-level mapping, validation, and rollback between Factoreal and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Factoreal
Source
Freshsales
Destination
Compatibility
6 of 10
objects map 1:1 between Factoreal and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Factoreal organizes data around Contacts, Segments, Campaigns, and Automations within a marketing-first model, but it does not publish a public REST API, which means all migrations require CSV export-and-import cycles rather than automated API extraction. Freshsales accepts CSV imports for Leads, Contacts, Accounts, Deals, Tasks, Appointments, and Notes through its native import wizard, and it exposes a REST API for custom field, custom object, and conversation record ingestion. We sequence the Factoreal export batches by object dependency, pre-create the Freshsales schema including custom fields and record types, and resolve the Lead-versus-Contact split based on whether each Factoreal contact carries a lifecycle stage that maps to a qualified buyer. Automation workflows, email template HTML, and segment filter rules do not migrate as executable artifacts; we deliver written inventories of these for the customer's admin to rebuild in Freshsales's workflow builder and template editor. Website visitor session data and native engagement reports do not transfer because Factoreal does not expose them in an exportable format.
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 Factoreal 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.
Factoreal
Contact
Freshsales
Contact or Lead (split required)
1:manyFactoreal Contacts map to Freshsales Contact for records that represent active customers or qualified buyers, and to Freshsales Lead for unqualified prospects. We determine the split using Factoreal's contact lifecycle stage property (if present) or source attribution (campaign-sourced contacts go to Lead; direct customer records go to Contact). Each Factoreal contact record carries a unique email that serves as the dedupe key during Freshsales import. Custom fields on Factoreal contact records map to Freshsales Contact custom fields or Lead custom fields depending on the split outcome. Required Freshsales fields (first_name, last_name, email) are validated against the Factoreal export before each batch commits.
Factoreal
Company
Freshsales
Account
1:1Factoreal company records map directly to Freshsales Account. The company domain name from Factoreal becomes the Account Website field and is used as the dedupe key. Account must be created before any Contact or Lead import so that the Account Lookup relationship is satisfied at insert time. Address fields (city, state, country) map to Freshsales Address composite field.
Factoreal
Segment
Freshsales
Static List or Filter-based View
lossyFactoreal Segments define filter rules over contact attributes and behavioral events. We capture the full segment membership at migration time — the set of contact IDs belonging to each segment — and reconstruct that membership in Freshsales as a Static List (explicit record membership) or as a Saved Filter that reproduces the same filter logic. Segment names map to Freshsales list or filter names. Note that segment filter logic is not portable as executable rules; we document the filter conditions so the admin can configure equivalent filters in Freshsales after migration.
Factoreal
Campaign
Freshsales
Campaign
1:1Factoreal campaigns hold subject lines, content, send history, and engagement metrics. We map campaign structure to Freshsales Campaign, preserving campaign name, status, start and end dates, and budgeted cost if present in the export. Engagement metrics (open rate, click rate, send volume) are stored as custom numeric fields on the Freshsales Campaign record. Freshsales Campaign objects do not support multi-channel execution the way Factoreal campaigns do; channel-level messaging (SMS, WhatsApp) migrates separately as conversation history.
Factoreal
E-commerce Data (Orders, Products)
Freshsales
Product + Deal + Line Item
1:manyFactoreal's built-in e-commerce integration captures order and product data. We map Factoreal product records to Freshsales Product2 (with SKU preserved in the Product Code field) and create Standard Price Book entries during migration. Factoreal order headers map to Freshsales Deals, with deal name derived from order ID and deal amount from the order total. Factoreal order line items map to Freshsales OpportunityLineItem linked to the parent Deal and PricebookEntry. The customer determines the pipeline and stage assignment for migrated deals during scoping.
Factoreal
SMS / WhatsApp Message History
Freshsales
Conversation (via Freshsales Conversations API)
1:1Channel-level message logs (SMS, WhatsApp) export from Factoreal as part of the contact and campaign data. We preserve send timestamp, direction (inbound/outbound), channel type, and message content. Freshsales stores these records via the Conversations API as part of its chat module. Each conversation is linked to the corresponding Contact or Lead record by email match. Note that Freshsales chat must be provisioned on the destination account before conversation records can be created via API.
Factoreal
Email Template
Freshsales
Email Template
1:1Factoreal email templates include HTML content and dynamic merge field placeholders. We extract template HTML from the export and map merge field syntax to Freshsales template variable format ({{contact.first_name}} becomes the equivalent Freshsales placeholder). Visual template elements render differently across platforms; we preserve the content and variable structure, but the customer reviews template rendering in Freshsales after migration. Static assets (images hosted on Factoreal's CDN) may need to be re-hosted or uploaded to Freshsales's asset library.
Factoreal
Custom Field
Freshsales
Custom Field
lossyFactoreal custom fields on contact and company records are identified during discovery, exported per record, and mapped to Freshsales custom fields of the equivalent type (text, number, date, picklist, checkbox, phone, URL). Freshsales supports custom fields on Lead, Contact, Account, Deal, and Custom Objects. Custom field definitions are created in Freshsales Admin settings before record import. Freshsales Lead-to-Contact field mapping during lead conversion is handled separately in Admin settings; we document the intended mapping during scoping for the customer's admin to configure post-migration.
Factoreal
Tag
Freshsales
Tag
1:1Factoreal contacts carry multiple tags defining segmentation and classification. We export the full tag list per contact and create equivalent tags in Freshsales using the Tags API or Admin interface. Tags on Freshsales Contact or Lead records use the native tagging feature. The many-to-many relationship between contacts and tags is preserved across both systems.
Factoreal
Automation (workflow graph)
Freshsales
Documentation for Freshsales Workflow rebuild
1:1Factoreal automation workflows define trigger conditions and multi-step action sequences across channels. We do not migrate automations as executable rules because they are not stored in an exportable, portable format. We capture the workflow graph — triggers, conditions, delays, action steps, and channel assignments — as a written inventory document. The customer's admin uses this document to rebuild equivalent logic in Freshsales Workflow Builder (available from Pro tier). Automations that reference channels not available in Freshsales (e.g., Factoreal-specific WhatsApp session templates) are flagged with a recommendation for Freshsales's built-in chat channels.
| Factoreal | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact or Lead (split required)1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Segment | Static List or Filter-based Viewlossy | Fully supported | |
| Campaign | Campaign1:1 | Fully supported | |
| E-commerce Data (Orders, Products) | Product + Deal + Line Item1:many | Mapping required | |
| SMS / WhatsApp Message History | Conversation (via Freshsales Conversations API)1:1 | Mapping required | |
| Email Template | Email Template1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Automation (workflow graph) | Documentation for Freshsales Workflow rebuild1:1 | 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.
Factoreal gotchas
No public REST API for automated migration
Website visitor session data is not exportable
Contact migration required hands-on support in practice
Automation workflows do not migrate as executable rules
Limited third-party integration ecosystem
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 CSV export coordination
We audit the Factoreal account across all objects available for export: contact records, company records, segment definitions, campaign history, order and product data, email template HTML, and tag assignments. Because Factoreal has no API, we coordinate with the customer to request a full data export from the Factoreal application UI early in the project. We review the CSV structure, column headers, row counts per export file, and encoding format before mapping begins. Any missing required fields (e.g., contacts without an email address) are flagged for the customer's data cleaning team to resolve before migration proceeds.
Freshsales schema pre-creation
We create the Freshsales destination schema before any record import. This includes provisioning custom fields on Lead, Contact, Account, and Deal objects; creating any required Custom Objects via the Freshworks platform; configuring Record Types and Sales Processes for deal pipelines; setting up price books and product records for migrated e-commerce data; and creating tags that mirror the Factoreal tag taxonomy. The Freshsales import wizard accepts CSV for Leads, Contacts, Accounts, Deals, Tasks, Appointments, and Notes natively; we use the Freshsales REST API for custom object records, conversation history, and any records that exceed the CSV import row limits.
Record import in dependency order
We run the production migration in record-dependency order to satisfy Freshsales's lookup requirements. Accounts are loaded first (from Factoreal companies). Leads and Contacts are loaded second, with the Lifecycle Stage split rule applied and the AccountId resolved for each Contact. Products and Price Book entries are loaded third. Deals are loaded fourth, with the Product and Pricebook2 references resolved at migration time. Order line items map to OpportunityLineItem records linked to the parent Deal. Conversation history (SMS, WhatsApp) is loaded via the Freshsales Conversations API and linked to Contact records by email match. Tags are applied to records post-import using Freshsales's bulk tag assignment.
Reconciliation and data quality validation
We reconcile row counts from each Factoreal CSV export against the corresponding Freshsales record counts after each import phase. Spot-checks compare 25-50 randomly selected records across name, email, phone, custom field values, and tag assignments against the Factoreal source. Any mismatches are traced to CSV preprocessing issues (encoding, truncation, duplicate rows) or field mapping errors. Custom field mapping is validated for data type consistency — text fields receiving text values, picklist fields receiving whitelisted values, date fields in Freshsales date format.
Delta migration and cutover
We run a final delta migration to capture any records created or modified in Factoreal during the migration window. On go-live day, the customer sets Factoreal to read-only or suspends writes, we run the delta batch, and Freshsales becomes the system of record. We deliver the automation workflow inventory document and the email template HTML package to the customer's admin team for rebuild in Freshsales's workflow builder and template editor.
Post-migration hypercare and handoff
We support a one-week hypercare window after cutover where we resolve any data quality issues surfaced by the customer's team. This includes re-mapping any mis-assigned custom fields, correcting Account lookups on Contacts that resolved to the wrong Account, and reprocessing any records that failed import due to validation rule conflicts. We do not rebuild Factoreal automation workflows as Freshsales Workflow Builder rules inside the migration scope; that is a separate rebuild engagement. Freddy AI begins training on the migrated data from go-live forward.
Platform deep dives
Factoreal
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 Factoreal 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
Factoreal: Not publicly documented.
Data volume sensitivity
Factoreal 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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