CRM migration

Migrate from eTrigue to Salesforce Sales Cloud

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

eTrigue logo

eTrigue

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

67%

8 of 12

objects map 1:1 between eTrigue and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from eTrigue DemandCenter to Salesforce is a migration from a campaign-centric marketing automation tool into a full CRM platform with a fundamentally different data model. eTrigue organizes data around Prospects and Campaigns with a five-component composite Lead Score; Salesforce separates Leads and Contacts attached to Accounts with a rich Opportunity pipeline. We extract all data via eTrigue's built-in CSV export (no API is available), decode the numeric Status codes that eTrigue exports, preserve the five Lead Score sub-components as separate custom fields so the composite logic can be rebuilt in Salesforce Flow, and map Campaign response timelines to Salesforce Campaigns with Campaign Member history. Automation workflows, progressive forms, and landing pages do not migrate; we deliver a written map of the form field definitions and scoring rules that require recreation in Salesforce or a complementary tool.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How eTrigue objects map to Salesforce Sales Cloud

Each row shows how a eTrigue object lands in Salesforce Sales Cloud, 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

Salesforce Sales Cloud

Contact (primary) and Lead (conditional)

1:many
Fully supported

eTrigue Prospects map to Salesforce Contact as the primary target for known buyers and to Salesforce Lead for early-stage prospects. We apply a split rule based on the customer's eTrigue lifecycle data (or the presence of a closed Won campaign response) to determine which records convert directly to Contact versus landing as Lead first. Email address is the dedupe key. Standard fields (FirstName, LastName, Email, Phone, Company) map to typed Salesforce equivalents.

eTrigue

Prospect Custom Fields

maps to

Salesforce Sales Cloud

Contact Custom Fields

1:1
Fully supported

eTrigue custom fields (Boolean, Text, Date, Number) defined under Settings > Prospect Fields map to Salesforce custom fields on Contact with equivalent data types. Boolean fields in eTrigue store a true/false value with custom labels per value; we map the raw boolean to a Salesforce Checkbox and preserve the label mapping in a data dictionary for the customer's admin. Custom field API names use the __c suffix per Salesforce convention.

eTrigue

Status Field (numeric codes)

maps to

Salesforce Sales Cloud

Contact Active Status / HasOptedOutOfEmail

lossy
Fully supported

eTrigue exports the Status field as numeric codes (e.g., 1 = Active, 2 = Opt-Out). We detect these during data profiling, decode them against the documented eTrigue mapping, and set Salesforce HasOptedOutOfEmail to true for Opt-Out records. Active status records receive a custom field etrigue_status_code__c preserving the original numeric value for audit. Skipping this step silently marks Opt-Out contacts as active in Salesforce.

eTrigue

Lead Score (5 sub-components)

maps to

Salesforce Sales Cloud

Custom Number Fields on Contact

1:1
Fully supported

eTrigue's Lead Score is a composite of Campaign_Score, Activity_Score, Source_Score, Relationship_Score, and Buy_Time_Score, each stored as a separate numeric property on the Prospect record. We create five custom Number fields on Contact (etrigue_campaign_score__c, etrigue_activity_score__c, etrigue_source_score__c, etrigue_relationship_score__c, etrigue_buy_time_score__c) and export all five values independently. The customer's admin rebuilds the composite logic as a Salesforce Flow or formula field post-migration; we flag the original composite calculation rule in the scoring inventory document.

eTrigue

3D Lead Scoring

maps to

Salesforce Sales Cloud

Custom Number Field (etrigue_3d_score__c)

1:1
Mapping required

eTrigue's 3D Lead Scoring model enriches standard scoring with content-type engagement weighting and produces a single composite value. We export the 3D score as a numeric value and store it in a custom field etrigue_3d_score__c on Contact. Salesforce has no native equivalent for this model; we document the 3D scoring components and recommended Flow rebuild approach in the scoring inventory so the admin can recreate the weighting logic in Salesforce Flow or an AppExchange scoring tool.

eTrigue

Campaign

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

eTrigue Campaigns map directly to Salesforce Campaign. Campaign Name, Start Date, End Date, and Status migrate to CampaignName, StartDate, EndDate, and Status. Campaign response data (who responded and when) maps to Salesforce CampaignMember records linked to the Contact or Lead. We use the CampaignMember object to reconstruct which Prospects responded to which campaigns, preserving the campaign attribution timeline.

eTrigue

Campaign Response / Activity History

maps to

Salesforce Sales Cloud

Task, Event, and CampaignMember

1:1
Fully supported

Each eTrigue Prospect has an Activity History recording page views, email opens, form submissions, and campaign responses with timestamps. We export this as a structured log and map page views and email interactions to Salesforce Task records (with a custom activity_type__c field), form submissions to Event records, and campaign responses to CampaignMember with Status mapped from eTrigue's response type. Timestamps preserve the original eTrigue activity date for timeline ordering.

eTrigue

Email Send History

maps to

Salesforce Sales Cloud

Campaign and CampaignMember

1:1
Fully supported

eTrigue email send records (campaign name, send date, open rate, click rate per contact) map to Salesforce CampaignMember with a custom field etrigue_email_sent_date__c and open/click tracking flags. We do not recreate the email content itself in Salesforce; email templates and body content are documented separately for rebuild in Salesforce Marketing Cloud Account Engagement (Pardot) or Marketing Cloud.

eTrigue

Landing Page Form Fields

maps to

Salesforce Sales Cloud

Web-to-Lead Form or Custom Object

lossy
Fully supported

eTrigue landing pages host progressive forms with field definitions (field name, type, required/optional). We export the form field schema and map it to Salesforce Web-to-Lead form configuration or a custom form handler. We document the form field mapping, required fields, and any conditional logic so the admin can configure the equivalent Web-to-Lead or Experience Cloud form. Styling and page layout are not migratable and require rebuild.

eTrigue

Scheduled Export Criteria

maps to

Salesforce Sales Cloud

Report Filters and Campaign Segmentation

1:1
Fully supported

eTrigue's Scheduled Exports use saved search criteria to segment Prospects (e.g., by score threshold, campaign response, or custom field value). We document every active scheduled export's criteria as a written segmentation rule. These rules translate into Salesforce Report filters, List Views, or Campaign segmentation logic. The customer's admin rebuilds these as Salesforce Report filters or a complementary segmentation tool.

eTrigue

Tags / Content Types

maps to

Salesforce Sales Cloud

Multi-Select Picklist or Topic

lossy
Mapping required

eTrigue uses Content Types internally to classify prospect engagement with different content categories. We export these as tag values and map them to Salesforce multi-select picklist fields on Contact. For content-taxonomy use cases, we map to Salesforce Topics with TopicAssignment records linked to the Contact. The customer chooses the tagging strategy during scoping based on how the tags are used in reporting.

eTrigue

Partner Program Data (Lead Accelerator)

maps to

Salesforce Sales Cloud

Account and Contact Custom Fields

1:1
Fully supported

eTrigue Lead Accelerator customers store partner organization names and partner-specific campaign attribution in custom Prospect fields rather than a dedicated Partner object. We map partner organization names to Salesforce Account (using the partner name as Account Name with a custom Account Type = Partner), and partner-specific scoring rules to custom fields on Contact. We flag any partner-specific scoring logic requiring Flow rebuild in the scoring inventory document.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • No public API forces CSV-only export with manual assembly

    eTrigue does not publish a REST or SOAP API for programmatic data access. All data extraction uses the built-in CSV export from the Prospects list or Scheduled Exports. Large databases may require multiple export batches with pagination and filter-based segmentation. We handle this by exporting in tranches using saved search filters, then assembling the full dataset before loading into Salesforce. This adds 1-2 weeks of manual export coordination compared to API-based migrations and is the primary constraint on migration speed for eTrigue sources.

  • Status field exports as numeric codes, not labels

    When exporting the Status field from eTrigue, values are numeric codes rather than human-readable labels. A support article documents that Status exports return numbers requiring decoding (e.g., 1 = Active, 2 = Opt-Out). We detect this during data profiling and decode the numeric codes to set HasOptedOutOfEmail on the Contact record. We preserve the original numeric code in a custom field for audit. Without this step, all Opt-Out records silently import as Active in Salesforce, creating a compliance risk for email marketing.

  • Lead Score is five fields, not one composite field

    eTrigue's composite Lead Score is built from five sub-components stored as separate numeric properties (Campaign_Score, Activity_Score, Source_Score, Relationship_Score, Buy_Time_Score). Salesforce does not have a native multi-component composite score. We export all five values and create five corresponding custom Number fields on Contact. The customer's admin rebuilds the composite scoring logic in Salesforce Flow post-migration. We do not merge the five values into a single artifact field because that destroys the per-component signal.

  • 3D Lead Scoring has no direct Salesforce equivalent

    eTrigue's 3D Lead Scoring model uses content-type engagement weighting to produce a composite value. Salesforce has no native equivalent for this model. We export the 3D score as a numeric custom field and document the 3D scoring component weights and engagement weighting rules in a scoring inventory so the admin can recreate the model in Salesforce Flow or an AppExchange scoring product. If the customer uses Pardot, the 3D logic maps to Pardot's engagement scoring with adaptation.

  • Campaign-centric model requires restructuring for Account-centric CRM

    eTrigue organizes all data around Prospects and Campaigns. Salesforce separates Leads and Contacts from Accounts and Opportunities. If the eTrigue database contains company data only as a free-text Prospect field (not a related object), we map it to the Account Name on Contact and create Account records during migration. Any partner program data stored in custom Prospect fields also requires mapping to Account-level fields. This restructuring step adds a data profiling phase to identify unstructured company data before schema design begins.

Migration approach

Six steps for a successful eTrigue to Salesforce Sales Cloud data migration

  1. Discovery and export planning

    We audit the eTrigue portal to document all Prospect fields (standard and custom), active Scheduled Export criteria, Campaign count, Activity History volume, Lead Score sub-components in use, 3D Lead Scoring configuration, and any Partner program data stored in custom fields. We also identify the numeric Status code mapping by exporting a sample Prospects list. We deliver a written migration scope that lists every eTrigue object and field, the Salesforce target, and the transformation logic for each.

  2. Salesforce schema design and sandbox deployment

    We design the Salesforce destination schema: Contacts with custom fields for the five Lead Score sub-components and the 3D score; Accounts created from Prospect Company data; Campaigns mirroring the eTrigue campaign list; and custom fields for Status code preservation and Activity Type categorization. We deploy the schema to a Salesforce Sandbox (Developer or Full Copy depending on volume) for validation. Custom fields use the etrigue_ prefix to avoid naming conflicts with existing customer fields.

  3. CSV export and data assembly

    We coordinate with the customer's eTrigue admin to execute CSV exports in tranches using saved search filters that match the active Scheduled Export criteria. We assemble the full Prospects export, Campaign export, and Activity History export into a unified dataset. We profile the Status field values to confirm the numeric code mapping, then decode all Status codes before any data is loaded into Salesforce. This manual export-and-assemble step is the most time-intensive part of an eTrigue migration and typically takes 5-10 business days for databases over 10,000 records.

  4. Sandbox migration and reconciliation

    We run a full migration into the Salesforce Sandbox using production-like data volume. The customer's RevOps or marketing operations lead reconciles record counts, spot-checks 25-50 random Contacts against the eTrigue source data (name, email, status, lead scores), validates the Status code decoding, and signs off before production migration begins. The scoring inventory document is also reviewed during this phase to confirm the five sub-component mapping is correct.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts first (from Prospect Company data), then Contacts with AccountId resolved, then Campaigns, then Activity History records (Tasks, Events, CampaignMembers via CSV load), then custom fields (Lead Score sub-components, 3D score, Status code). Each phase emits a row-count reconciliation report before the next phase begins. Partner program data is mapped to Account and Contact custom fields during the custom field phase.

  6. Cutover, form handoff, and scoring rebuild guide

    We freeze eTrigue writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the scoring inventory document (five sub-component definitions, composite logic, 3D scoring component weights), the landing page form field mapping document, and the scheduled export criteria translated to Salesforce List Views and Report filters. We do not rebuild eTrigue workflows or progressive forms as Salesforce Flow or Web-to-Lead forms; those are documented for the customer's admin to rebuild as a separate task.

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.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

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 Salesforce Sales Cloud.

  • 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

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Most migrations land between three and five weeks for accounts under 15,000 Prospects with clean field mappings and no 3D Lead Scoring complexity. Migrations with 3D Lead Scoring data, large Activity History exports (over 200,000 records), partner program custom fields, or multiple active Scheduled Export batches requiring manual assembly move to seven to twelve weeks. The CSV-only export constraint is the primary timeline driver — API-based migrations from platforms like HubSpot typically run faster because data assembly is automated.

Adjacent paths

Related migrations to explore

Ready when you are

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