CRM migration

Migrate from eTrigue to Pipedrive

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

eTrigue logo

eTrigue

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

50%

5 of 10

objects map 1:1 between eTrigue and Pipedrive.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

eTrigue DemandCenter is a campaign-centric marketing automation platform with no native Deals, Opportunities, or Accounts; Pipedrive is a pipeline-focused sales CRM with no native marketing automation. This migration is not a like-for-like record copy — it is a conceptual restructure that maps marketing prospect data into a sales data model. We extract via eTrigue's CSV export tool (no public API), decode the numeric Status codes documented in eTrigue's support articles, split the five-component Lead Score into individual custom fields for the customer to recombine in Pipedrive, and map Partner Accelerator data from custom Prospect fields to Organization records. Campaign response histories (email opens, form submissions, page views) land as Activity records in Pipedrive so the sales team retains context on how each lead entered the pipeline. Workflows, sequences, progressive forms, and 3D Lead Scoring enrichment algorithms do not migrate; we deliver written inventories for the customer's admin to rebuild in Pipedrive's automation layer.

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

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How eTrigue objects map to Pipedrive

Each row shows how a eTrigue object lands in Pipedrive, 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

Pipedrive

Person (Contact)

1:1
Fully supported

eTrigue Prospects map 1:1 to Pipedrive People. Standard fields (name, email, company, phone, address) export cleanly from the Prospects CSV and map to Pipedrive's typed Person fields. We use email address as the dedupe key. All five Lead Score sub-fields (Campaign Score, Activity Score, Source Score, Relationship Score, Buy Time Score) migrate as individual numeric custom fields on the Person record so the customer can recombine them inside Pipedrive or a third-party scoring tool.

eTrigue

Prospect Company Field

maps to

Pipedrive

Organization

1:1
Fully supported

eTrigue stores company name as a text field on the Prospect record. We extract unique company names from Prospects, deduplicate, and create Organization records in Pipedrive before importing Persons. The Organization becomes the parent of the Person record via the linked_id relationship, satisfying Pipedrive's data model requirement that People attach to Organizations for full CRM functionality.

eTrigue

Status Field (Numeric Codes)

maps to

Pipedrive

Activity (Label Field)

lossy
Fully supported

eTrigue's Status field exports numeric codes (e.g., 1 = Active, 2 = Opt-Out) rather than human-readable labels. We decode these during data profiling before import and map to Pipedrive's Activity labels or to a custom picklist field that the customer's admin configures. If Status is used as a filter for active-only migrations, we exclude records with Status = Opt-Out code unless the customer requests full export including unsubscribed records.

eTrigue

Campaign Response History

maps to

Pipedrive

Activity

1:many
Fully supported

Each eTrigue Prospect's Activity History records email opens, form submissions, page views, and campaign responses with timestamps. We export this as a structured activity log and map each entry to Pipedrive Activity records with activity_type set to email, call, meeting, or note and ActivityDate set to the original timestamp. The Person or Organization linked to the Activity resolves via email or company name match. Large histories (thousands of rows per Prospect) are chunked into batches during import to avoid payload size limits.

eTrigue

Campaign

maps to

Pipedrive

Custom Field + Activity Context

1:1
Fully supported

eTrigue Campaigns have no direct Pipedrive equivalent because Pipedrive organizes around Deals rather than Campaigns. We map Campaign names to a custom text field on the Person record (original_campaign__c) and create Activity records that capture campaign response context. If the customer uses Pipedrive's optional Campaign object (Professional tier and above), we map campaign names there and link Activities via a custom Campaign relationship. Partner-specific campaign attribution from Lead Accelerator maps to the Organization record's partner_program__c field.

eTrigue

3D Lead Score

maps to

Pipedrive

Custom Numeric Fields

lossy
Fully supported

eTrigue's 3D Lead Scoring enriches the standard composite score with content-type engagement weighting. The 3D score value exports as a separate numeric field. We map it to a custom field score_3d__c on the Person record and flag that Pipedrive's native scoring model requires manual rebuild or a third-party scoring app from the Pipedrive Marketplace. The customer's admin decides how to weight the five sub-scores in Pipedrive's own scoring tool post-migration.

eTrigue

Custom Fields (Boolean, Text, Picklist)

maps to

Pipedrive

Custom Fields

1:1
Mapping required

eTrigue supports Boolean, Text, and other custom field types defined in Settings > Prospect Settings > Prospect Fields. Boolean fields store true/false with custom labels per value. We map these to Pipedrive's equivalent custom field types (checkbox for Boolean, text for Text, picklist for single-select, multi-select for multi-checkbox). We pre-create the custom fields in Pipedrive before import so the CSV column headers match Pipedrive field names exactly.

eTrigue

Tags / Content Types

maps to

Pipedrive

Custom Field (Multi-Select)

lossy
Mapping required

eTrigue Content Types classify prospect engagement with different content categories. We export these as tag values and map to Pipedrive custom multi-select fields on the Person record. If Content Types represent distinct content themes (whitepaper, webinar, case study), each unique value becomes a multi-select option so the sales team can filter by acquisition source content.

eTrigue

Partner Accelerator (Custom Prospect Fields)

maps to

Pipedrive

Organization

1:1
Fully supported

Lead Accelerator customers using eTrigue for partner channel programs store partner organization names and partner-specific campaign attribution in custom Prospect fields rather than a dedicated Partner object. We extract unique partner organization names, create Organization records in Pipedrive (type = Partner), and link the original prospect Person to the Partner Organization. Any partner-specific scoring rules are flagged in a separate Partner_Scoring_Rebuild document for the customer's admin.

eTrigue

Scheduled Exports Configuration

maps to

Pipedrive

Not Migrated

lossy
Fully supported

eTrigue's Scheduled Exports feature uses saved search criteria to produce recurring CSV exports. Pipedrive has no scheduled export equivalent at the object level. We document the active scheduled export criteria used in eTrigue so the customer's admin can configure equivalent Pipedrive Saved Filters and potentially automate CSV exports via Pipedrive's API for any ongoing reporting requirements.

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

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • eTrigue has no public API — migration relies on manual CSV export

    eTrigue DemandCenter does not publish a REST or SOAP API for programmatic data extraction. All migration data must be exported via the built-in CSV export tool from the Prospects list or via Scheduled Exports. Large databases may require multiple export batches with pagination filters. We handle this by exporting in tranches using saved search filters (e.g., Status = Active, Created Date range), assembling the full dataset in a staging environment, then loading into Pipedrive. This manual-intensive step adds 3-7 days to discovery compared to API-based migrations and limits the ability to run delta syncs after initial export.

  • Status field exports numeric codes, not labels

    eTrigue's Status field exports as numeric codes rather than human-readable labels. A support article explicitly documents this encoding (1 = Active, 2 = Opt-Out). If this is not decoded before import, all exported records will appear as numeric codes in Pipedrive's custom field or, worse, will be silently misclassified as active unsubscribed records. We detect this during data profiling, build a decode table, and apply it during the CSV-to-Pipedrive field mapping step. The customer must confirm the Status encoding version used in their eTrigue instance before migration begins.

  • Lead Score five-component split requires manual recomposition in Pipedrive

    eTrigue's composite Lead Score is calculated from five separate numeric sub-fields (Campaign Score, Activity Score, Source Score, Relationship Score, Buy Time Score) stored as individual Prospect properties. Pipedrive's native Lead Scoring accepts a single numeric value per contact. We migrate all five sub-fields as typed custom fields, but Pipedrive's own scoring model cannot automatically recombine them into a weighted composite score. The customer must either rebuild the composite logic inside Pipedrive's scoring tool (if available on their tier) or use a third-party scoring app. We flag this in a Scoring_Rebuild_Notes document delivered with the migration.

  • Partner Accelerator data stored in custom fields, not native partner objects

    Customers using eTrigue Lead Accelerator for channel partner programs often store partner organization names, partner representative names, and partner-specific campaign attribution in custom Prospect fields rather than a dedicated Partner object. When migrating to Pipedrive, these map to Organization records (type = Partner) and Person records (role = Partner Representative). However, any partner-specific scoring rules, partner-tier logic, or program-based pricing rules that rely on eTrigue's Lead Accelerator configuration do not have a Pipedrive equivalent and require manual rebuild. We deliver a Partner_Config_Inventory documenting every partner-related custom field and its usage.

  • Pipedrive's native migration tool does not support eTrigue

    Pipedrive's built-in Import2 migration assistant supports 39+ CRMs including Salesforce, HubSpot, Zoho, and others, but eTrigue is not on the supported list. This means teams cannot use Pipedrive's one-click migration wizard for this migration. All data must be exported from eTrigue as CSV, cleaned and mapped in a staging environment, then loaded into Pipedrive via Pipedrive's CSV import tool or API. This is not a limitation of FlitStack AI — it is a constraint of the platform pair that makes professional migration scoping particularly important to avoid data mapping errors.

Migration approach

Six steps for a successful eTrigue to Pipedrive data migration

  1. Discovery and export feasibility assessment

    We audit the eTrigue instance: record counts per saved search, active scheduled export criteria, custom field definitions (Settings > Prospect Settings > Prospect Fields), Status field encoding version, Lead Score sub-field names, Partner Accelerator custom field usage, and Activity History retention. We confirm whether the customer uses 3D Lead Scoring and whether Campaign response history is required in full or summary form. The output is a written Migration Scope document that identifies the exact CSV exports needed and any eTrigue edition constraints (e.g., 3D Lead Scoring is Professional-tier only).

  2. CSV export coordination and data assembly

    We guide the customer through eTrigue's CSV export process. Because there is no API, we provide a written export checklist: which saved searches to run, which Status codes to include, which date ranges to cover for Activity History, and how to split large exports into manageable CSV tranches. We assemble the exported CSVs in a staging environment, profile each file for field覆盖率, numeric Status codes, and duplicate email addresses, and build the decode table for Status field mapping.

  3. Pipedrive custom field and Organization setup

    We pre-create all required custom fields in Pipedrive before any data import. This includes the five Lead Score sub-fields (campaign_score__c, activity_score__c, source_score__c, relationship_score__c, buy_time_score__c) as numeric fields, the 3D score field (score_3d__c), the original campaign field (original_campaign__c) as a text field, the Status decode field as a picklist, and any partner-related fields from Lead Accelerator. We also create Organization records for unique company names extracted from Prospects before Person import, ensuring the Person-Organization linkage is satisfied at import time.

  4. Staging migration and reconciliation

    We run a full migration into a Pipedrive sandbox or a named test workspace using production-equivalent data volume. The customer's RevOps lead reconciles record counts (People in, Organizations in, Activity records in), spot-checks 20-40 random records against the source CSV, and verifies that Status codes decoded correctly and Lead Score sub-fields populated. We correct any mapping errors identified during staging before production migration begins. Activity records are reconciled by date range and activity_type counts.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Organizations first (from unique company names), then People with Organization linkage resolved, then Activity records linked to Persons and Organizations via email and company name match. The five Lead Score sub-fields, 3D score, and original campaign field populate as custom fields on each Person record. Partner Accelerator data creates Organization records with type = Partner and links to the original prospect Person. Each phase emits a row-count reconciliation report before the next phase begins. We freeze new eTrigue data entry during the final cutover window and run a delta export of any records created or modified since the initial export.

  6. Cutover, validation, and rebuild handoff

    We enable Pipedrive as the system of record after the delta import completes and the customer signs off on the staging reconciliation. We deliver the Scoring_Rebuild_Notes, Partner_Config_Inventory, and Workflow_Inventory documents to the customer's admin. We support a one-week hypercare window where we resolve any record linkage issues or missing data flagged by the sales team. We do not rebuild eTrigue workflows, sequences, or progressive forms as Pipedrive automations inside the migration scope; those 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.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Pipedrive.

  • Object compatibility

    B

    3 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 Pipedrive 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 Pipedrive data migrations

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

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 15,000 Prospects with clean CSV exports and no complex Partner Accelerator data. Migrations with large Activity histories (over 200,000 engagement records), multi-component 3D Lead Scoring, Partner Accelerator partner-organization reconstruction, or multiple scheduled export batches move to seven to twelve weeks because of manual CSV assembly, Status code decoding, and activity timeline reconstruction time.

Adjacent paths

Related migrations to explore

Ready when you are

Move from eTrigue.
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