CRM migration
Field-level mapping, validation, and rollback between GoldMine and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
GoldMine
Source
Freshsales
Destination
Compatibility
7 of 8
objects map 1:1 between GoldMine and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from GoldMine to Freshsales is a migration from a legacy desktop-first CRM with a hard end-of-life deadline (April 2026) to a cloud-native SaaS platform with built-in phone, chat, email, and Freddy AI. GoldMine stores communication history in a non-normalized table with mixed formats (plain text, HTML, MIME-encoded), which is the migration's highest-value and highest-risk object. We extract via GoldMine's XML API or direct database read, clean the history records during staging, and load via the Freshsales REST API. Custom fields stored in GoldMine's extended tables require schema discovery before mapping. We do not migrate GoldMine's workflows, forms, or report definitions as code; we deliver a written inventory of these for the customer's admin to rebuild in Freshsales.
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 GoldMine 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.
GoldMine
Contact
Freshsales
Contact
1:1GoldMine's primary Contact record maps directly to Freshsales Contact. Standard fields (name, phone, email, address) transfer as typed field-to-field. GoldMine's name parsing splits FirstName and LastName during the transform. We handle duplicate detection via Freshsales' email-based dedupe key. Inactive GoldMine users' contacts are flagged for owner reassignment before import.
GoldMine
Company
Freshsales
Account
1:1GoldMine Company records map to Freshsales Account. The GoldMine Company-Contact linkage preserves as Freshsales' Account-Contact relationship, resolved at migration time by matching the GoldMine CONTACT1.COMPANY or RECID linkage to the Freshsales Account.id. Companies with no linked Contacts create standalone Accounts.
GoldMine
Opportunity
Freshsales
Deal
1:1GoldMine Opportunities map to Freshsales Deals. The stage lifecycle differs—GoldMine uses customizable pipeline stages while Freshsales uses a Deal pipeline with stage, probability, and amount fields. We review the customer's GoldMine pipeline stage names during scoping, create a corresponding Freshsales pipeline with matched stage values, and set probability percentages from the GoldMine stage configuration.
GoldMine
History / Activity Log
Freshsales
Activity
1:1GoldMine history records (emails, calls, meetings, notes) are the highest-priority migration objects and the highest risk. GoldMine stores these in a non-normalized table with mixed formats—some plain text, some HTML, some MIME-encoded. We normalize each entry to Freshsales' Activity format, stripping encoding artifacts and setting the Activity type (Call, Email, Meeting, Note) from the GoldMine history type field. Original timestamps preserve the activity timeline ordering.
GoldMine
Calendar / Appointments
Freshsales
Event
1:1GoldMine appointments synced from Outlook or entered directly map to Freshsales Events with Subject, Start Time, End Time, Location, and linked Contact or Account preserved. Attendees from GoldMine map to Freshsales Event invitees. GoldMine's COM-based Outlook sync means some appointments may exist in Outlook but not GoldMine; we flag this gap for the customer's admin to decide whether to export from Outlook separately.
GoldMine
Custom Fields
Freshsales
Custom Fields
lossyGoldMine stores custom fields in extended columns linked to CONTACT1 and related tables by RECID, invisible in the standard UI. We run a discovery query against the GoldMine database to enumerate all non-system columns, classify each as text, numeric, date, or picklist, and present the full custom field inventory before migration. Freshsales custom fields are created during the configuration phase, then populated during data load with type-mapped values.
GoldMine
Documents and Attachments
Freshsales
Attachments
1:1GoldMine attachments exist as BLOBs in the database or files on a network share referenced by a path. Network share paths become invalid post-migration. We extract attachments with their parent record, re-upload to Freshsales' attachment model, and flag any where the source path returns file-not-found. Attachments over 25MB are flagged for customer decision (skip, restore from backup, or manual reattach).
GoldMine
Groups and Tags
Freshsales
Tags
1:1GoldMine groups, marketing lists, and tag-like labels on records map to Freshsales Tags. We extract the group membership records, apply each tag to the corresponding Contact, Account, or Deal during import, and note any GoldMine group that maps to a Freshsales List (for segmentation and email campaigns) versus a Tag (for record labeling).
| GoldMine | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Opportunity | Deal1:1 | Fully supported | |
| History / Activity Log | Activity1:1 | Mapping required | |
| Calendar / Appointments | Event1:1 | Mapping required | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Documents and Attachments | Attachments1:1 | Mapping required | |
| Groups and Tags | Tags1:1 | Mapping required |
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.
GoldMine gotchas
GoldMine support and updates end April 2026
No REST API requires direct database or XML API extraction
Communication history is the migration's highest-value and highest-risk object
Custom fields stored in extended tables require schema discovery
File attachments depend on server-side file paths that may be orphaned
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 extraction path determination
We audit the GoldMine environment: version (2014 through 2024.x), backend type (SQL Server or Paradox), custom fields present in extended tables, history volume by type (email, call, meeting, note), attachment count and storage method (BLOB vs file path), pipeline stage configuration, and user roster. We also identify the Freshsales plan (Growth, Pro, Enterprise) and confirm whether the destination is Freshsales Classic or Freshsales Suite. The extraction path (XML API vs direct database read) is determined by GoldMine version and customer IT access.
Schema discovery and custom field enumeration
We run a discovery query against the GoldMine database that pulls all non-system columns across CONTACT1, COMPANY, and related tables, classifies each as text, numeric, date, or picklist, and presents the full custom field inventory for mapping. We create the corresponding custom fields in Freshsales during this phase. We also design the Deal pipeline stage mapping, identifying which GoldMine pipeline stages correspond to which Freshsales pipeline stages and probability values.
Data staging and history normalization
Extracted GoldMine data lands in a staging environment where we normalize history records, clean custom field values, resolve owner references, and apply the Account-Contact linkage. History normalization is the most time-intensive step: we strip encoding artifacts, decode MIME entries, route by type to the correct Freshsales Activity subtype, and set original timestamps to preserve timeline ordering. We run a data quality report and share it with the customer before import begins.
Freshsales custom field and pipeline configuration
We provision all mapped custom fields in Freshsales, configure the Deal pipeline and stage values, and set up the Owner-User mapping (GoldMine user email to Freshsales User). We confirm Freshsales field types match the source data types before the migration script runs. This phase runs in a Freshsales test environment before production migration.
Production migration in dependency order
We run production migration in record-dependency order: Contacts and Accounts first (Accounts resolved before Contacts for linkage), then Deals with AccountId and OwnerId resolved, then Activity history via Freshsales REST API, then Attachments. Each phase emits a row-count reconciliation report. GoldMine remains live during migration so the customer can continue working; writes to GoldMine during the migration window are captured in a delta pass before cutover.
Cutover, validation, and automation inventory handoff
We freeze GoldMine writes during cutover, run a final delta migration of any records modified during the migration window, validate record counts and spot-check 25-50 records against the GoldMine source, then hand off Freshsales as the system of record. We deliver a written inventory of GoldMine workflows, forms, and report definitions for the customer's admin to rebuild in Freshsales. We do not rebuild GoldMine workflows as Freshsales automation rules within the migration scope.
Platform deep dives
GoldMine
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 GoldMine and Freshsales.
Object compatibility
2 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
GoldMine: Not publicly documented—rate limiting is not formally specified for GoldMine's XML API or COM-based integrations.
Data volume sensitivity
GoldMine 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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