CRM migration
Field-level mapping, validation, and rollback between eTrigue and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
eTrigue
Source
Freshsales
Destination
Compatibility
5 of 8
objects map 1:1 between eTrigue and Freshsales.
Complexity
BStandard
Timeline
1-3 weeks
Overview
eTrigue DemandCenter and Freshsales serve different functions: eTrigue organizes data around Campaigns and Prospects for marketing automation, while Freshsales is a full sales CRM with Contacts, Accounts, Deals, and Activities. There is no native Deal or Opportunity object in eTrigue, so migration scope centers on prospect records, campaign response history, and any custom fields storing partner attribution or scoring data. We extract via CSV from eTrigue's built-in export tool, then map Prospects 1:1 to Freshsales Contacts, Companies to Accounts, and campaign responses to Freshsales Campaign Members. The five-component Lead Score (Campaign, Activity, Source, Relationship, Buy Time) migrates as five individual numeric custom fields rather than a single composite value, because Freshsales uses its own Freddy AI scoring model. Partner program data stored in eTrigue custom fields maps to the Account Name and a custom company field. We do not migrate Workflows, Forms, Landing Pages, or Reports as these require rebuilding 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 eTrigue 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.
eTrigue
Prospect
Freshsales
Contact
1:1eTrigue Prospects map directly to Freshsales Contacts. Standard fields (First Name, Last Name, Email, Phone, Company) migrate cleanly via CSV export. The Prospect record ID is preserved in a custom field etrigue_prospect_id__c for audit and cross-referencing. We deduplicate by email address during import to avoid creating duplicate Contact records.
eTrigue
Company (from Prospect Company field)
Freshsales
Account
1:1The Company name stored on each eTrigue Prospect maps to a Freshsales Account. Accounts are created first so that the Contact-to-Account Lookup relationship is satisfied at import time. If multiple Prospects share the same Company name, they link to a single Account, which is the expected behavior in Freshsales.
eTrigue
Campaign
Freshsales
Campaign + Campaign Member
1:manyeTrigue Campaigns become Freshsales Campaigns with campaign response data migrated as Campaign Member records. Each Prospect with a campaign attribution history gets a corresponding Campaign Member entry linked to the Campaign and the Contact. Campaign response timestamps (first response, last response, total responses) map to Freshsales Campaign Member fields. If eTrigue has campaign stage values (Registered, Attended, Converted), these map to custom Campaign Member status values.
eTrigue
Activity History
Freshsales
Task
1:1eTrigue Activity History records (page views, email opens, form submissions, campaign responses with timestamps) migrate as Freshsales Tasks with Activity Type set to the corresponding engagement category. Each Task is linked to the migrated Contact via WhoId. Timestamps are preserved from the source record to maintain the chronological activity timeline. Page views and email opens without a specific action are logged as Note-type Tasks with descriptive body text.
eTrigue
Lead Score (5 components)
Freshsales
Custom Fields (5 numeric fields)
lossyThe eTrigue composite Lead Score has five sub-components: Campaign Score, Activity Score, Source Score, Relationship Score, and Buy Time Score, each stored as a separate numeric field on the Prospect. We create five matching custom numeric fields on the Freshsales Contact record and migrate each score individually. Freshsales' native Freddy AI scoring is separate from these values; the customer can use the migrated scores as baseline reference data or configure Freddy rules that incorporate them. We do not merge the five components into a single composite score because each component carries independent signal.
eTrigue
Custom Fields (Boolean, Text, Numeric)
Freshsales
Custom Fields on Contact
1:1eTrigue Boolean fields (true/false with custom labels per value) map to Freshsales checkbox fields. Text fields map to text fields. Numeric custom fields map to Freshsales numeric fields with type preservation. We handle the mapping during data profiling before import so that field types are pre-created in Freshsales rather than discovered during load. The total count of custom fields and their types is gathered during discovery to scope the custom field creation effort.
eTrigue
Partner Program data (custom fields)
Freshsales
Custom Fields on Account
1:1Customers using eTrigue Lead Accelerator for channel partner programs store partner organization names and partner-specific attribution in custom Prospect fields. We identify these fields during discovery, map the partner organization name to the Freshsales Account Name, and create additional custom fields on Account (e.g., partner_tier__c, partner_program__c, partner_campaign_id__c) to preserve attribution metadata. Partner-specific scoring rules are flagged in the deliverable for manual recreation in Freshsales if required.
eTrigue
Tags / Content Types
Freshsales
Labels on Contact
lossyeTrigue Content Types and Tags used to classify prospect engagement with content categories migrate to Freshsales Labels applied to each Contact. If a Prospect has multiple tags, they map to multiple Freshsales Labels on the Contact record. We export the tag list first to ensure the label taxonomy is created in Freshsales before import.
| eTrigue | Freshsales | Compatibility | |
|---|---|---|---|
| Prospect | Contact1:1 | Fully supported | |
| Company (from Prospect Company field) | Account1:1 | Fully supported | |
| Campaign | Campaign + Campaign Member1:many | Fully supported | |
| Activity History | Task1:1 | Fully supported | |
| Lead Score (5 components) | Custom Fields (5 numeric fields)lossy | Fully supported | |
| Custom Fields (Boolean, Text, Numeric) | Custom Fields on Contact1:1 | Fully supported | |
| Partner Program data (custom fields) | Custom Fields on Account1:1 | Fully supported | |
| Tags / Content Types | Labels on Contactlossy | 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.
eTrigue gotchas
No public API means migration relies on CSV export only
Opt-Out status encoding in Status field export
Lead Score sub-components are five separate fields, not one
Partner program data stored in custom fields, not a native object
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 export planning
We audit the eTrigue account to identify the full Prospect list, any Scheduled Export criteria in use, the set of custom fields defined under Prospect Settings, the count of distinct Campaigns, the activity history export options available, and the presence of partner program data in custom fields. We document the export order and filter criteria so that no Prospect segment is missed during CSV extraction.
Data profiling and status code decoding
We profile the exported CSV files to identify the Status field numeric codes, detect any missing required fields (First Name, Last Name, Email), count unique values for multi-select fields, and map all five Lead Score sub-components to their respective column positions. We produce a data quality report flagging records with missing email, duplicate email addresses, and unmapped custom field types before any Freshsales schema is created.
Freshsales schema setup
We create the Freshsales schema based on the profiling output: Contacts with standard fields, Accounts with custom fields for partner attribution data, Campaigns with campaign member status values matching eTrigue's campaign stage values, and custom numeric fields for each of the five Lead Score components. Labels taxonomy is created to match eTrigue's Content Types and Tags.
Sandbox migration and reconciliation
We run a full migration into a Freshsales sandbox using the exported CSV data. The customer reviews 25-50 randomly sampled Contacts against the source eTrigue records, checks that Activity History appears on the correct Contact, verifies that Campaign Members are linked to the correct Campaign, and confirms that custom field values match. We correct any mapping errors before production migration.
Production migration in dependency order
We run production migration in dependency order: Accounts (from unique company names on Prospects), Contacts (with AccountId resolved by company name), Labels (created before Contact import to enable tagging), Contacts with Labels and custom field values, Campaigns (created before Campaign Members), Campaign Members (linked to Contacts and Campaigns), and Activity History as Tasks linked to each Contact by email lookup. Each phase emits a row-count reconciliation report.
Cutover, validation, and workflow handoff
We freeze eTrigue exports during cutover, run a final delta migration of any Prospects modified during the migration window, then enable Freshsales as the system of record. We deliver the Workflow and Form inventory document to the customer's Freshsales admin for rebuild. We support a one-week hypercare window for reconciliation issues raised by the sales team. We do not rebuild eTrigue Workflows as Freshsales Workflows or recreate Landing Pages as Freshsales Forms within the migration scope; these are separate engagements.
Platform deep dives
eTrigue
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 eTrigue 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
eTrigue: Not publicly documented.
Data volume sensitivity
eTrigue 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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