CRM migration

Migrate from eTrigue to Freshsales

Field-level mapping, validation, and rollback between eTrigue and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.

eTrigue logo

eTrigue

Source

Freshsales

Destination

Freshsales logo

Compatibility

63%

5 of 8

objects map 1:1 between eTrigue and Freshsales.

Complexity

BStandard

Timeline

1-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

eTrigue logo

eTrigue

What's pushing teams away

  • Workflow and automation capabilities are considered limited compared to broader platforms, with one reviewer noting they switched specifically because 'workflow and automation capabilities were a bit limited compared to other software on the market.'
  • UX and UI frustrations accumulate over time — users report 'minor UX frustrations when it came to renaming or reorganizing things,' creating friction for power users managing many campaigns.
  • The platform is perceived as better suited for small to medium teams, leading larger organizations to migrate toward enterprise-grade marketing automation with richer data models.
  • Pricing is opaque and quoted per-demo, which creates uncertainty and drives some buyers toward platforms with published tier-based pricing.

Choosing

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How eTrigue objects map to Freshsales

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

maps to

Freshsales

Contact

1:1
Fully supported

eTrigue 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)

maps to

Freshsales

Account

1:1
Fully supported

The 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

maps to

Freshsales

Campaign + Campaign Member

1:many
Fully supported

eTrigue 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

maps to

Freshsales

Task

1:1
Fully supported

eTrigue 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)

maps to

Freshsales

Custom Fields (5 numeric fields)

lossy
Fully supported

The 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)

maps to

Freshsales

Custom Fields on Contact

1:1
Fully supported

eTrigue 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)

maps to

Freshsales

Custom Fields on Account

1:1
Fully supported

Customers 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

maps to

Freshsales

Labels on Contact

lossy
Mapping required

eTrigue 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.

Gotchas + challenges

What specifically takes care here

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 logo

eTrigue gotchas

High

No public API means migration relies on CSV export only

Medium

Opt-Out status encoding in Status field export

Medium

Lead Score sub-components are five separate fields, not one

Medium

Partner program data stored in custom fields, not a native object

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • No public API: migration relies on CSV export only

    eTrigue does not publish a public REST or SOAP API. All data extraction uses the built-in CSV export from the Prospects list or Scheduled Exports. Large databases require multiple export batches with pagination, which we handle by exporting in tranches using saved search filters and assembling the full dataset before loading into Freshsales. This is a manual-intensive step compared to API-based migrations, and the export speed is constrained by the platform's CSV generation time rather than API rate limits.

  • Status field exports as numeric codes, not labels

    The eTrigue Status field exports numeric codes rather than human-readable labels (e.g., 1 = Active, 2 = Opt-Out). We detect this during data profiling, decode the numeric values to their semantic meaning, and map to Freshsales contact status equivalents (Active, Inactive, Unsubscribed) before import. Without this step, all contacts would import with numeric status values that are not actionable in Freshsales.

  • Lead Score five-component decomposition requires manual Freddy setup

    eTrigue's composite Lead Score is stored as five separate numeric fields on each Prospect. We migrate all five as individual custom numeric fields on the Freshsales Contact. However, Freshsales' native Freddy AI scoring uses its own weighting model and does not automatically inherit eTrigue's scoring logic. The customer needs to configure Freddy scoring rules if they want AI-based prioritization that mirrors their eTrigue scoring behavior, or they use the migrated score fields as static reference values.

  • Partner program data requires Account pre-creation

    Partner attribution data stored in eTrigue custom Prospect fields (partner organization name, partner tier, partner campaign ID) must map to Freshsales Accounts rather than Contacts. Because eTrigue has no native Account object, partner organizations are identified only by the company name on the Prospect. We pre-create partner Accounts before Contact import so that partner-attributed Prospects can be linked to the correct Account record. Any Prospects with missing or incomplete partner company names go to a reconciliation queue.

  • Freshsales does not migrate Workflows, Sequences, Forms, or Reports

    Freshsales has its own automation engine (Workflows), sales engagement (Sequences), web forms, and reporting dashboards, but eTrigue Workflows, Forms, Landing Pages, and Reports do not migrate to these equivalents. We deliver a written inventory of every active eTrigue Workflow and Form with its structure and trigger logic for the customer's Freshsales admin to rebuild. Reports and dashboards are not migrated; Freshsales Analytics provides the reporting layer and the customer recreates reports post-migration. Sequences (if applicable) require setup in Freshsales Sequences as a separate engagement.

Migration approach

Six steps for a successful eTrigue to Freshsales data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

eTrigue logo

eTrigue

Source

Strengths

  • Drag-and-drop campaign builder reduces onboarding time for non-technical marketing users.
  • Lead scoring model is multi-dimensional (5-component composite) and praised for accuracy in G2 reviews.
  • Built-in progressive forms capture prospect data contextually within campaigns.
  • Support responsiveness is a documented strength — callbacks within an hour for complex setups.
  • Partner marketing specialization with Lead Accelerator is a differentiator for channel-focused organizations.

Weaknesses

  • Limited workflow and automation capabilities compared to broader marketing automation platforms.
  • No publicly documented API — all data extraction relies on the built-in CSV export tool, which constrains migration speed.
  • Platform is perceived as scaling poorly beyond small to medium team sizes.
  • Pricing is opaque (per-demo quote model) with no published tier-based pricing, complicating budget planning.
  • UX frustrations with renaming and reorganizing objects accumulate for power users managing many campaigns.
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across eTrigue and Freshsales.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    eTrigue: Not publicly documented.

  • Data volume sensitivity

    B

    eTrigue doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your eTrigue to Freshsales migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about eTrigue to Freshsales data migrations

Answers to the questions buyers ask most during eTrigue to Freshsales migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Straightforward migrations of up to 5,000 Prospects with standard fields and no partner program data complete in one to three weeks. Migrations of 5,000-20,000 Prospects with custom fields, campaign response history, and activity timelines extend to three to four weeks. Migrations exceeding 20,000 records with complex partner attribution data and large activity histories extend to four to five weeks. The CSV export step from eTrigue is a manual-intensive process that can add time compared to API-based migrations.

Adjacent paths

Related migrations to explore

Ready when you are

Move from eTrigue.
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