CRM migration
Field-level mapping, validation, and rollback between eMarketeer and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
eMarketeer
Source
Pipedrive
Destination
Compatibility
8 of 12
objects map 1:1 between eMarketeer and Pipedrive.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from eMarketeer to Pipedrive is a structural migration from a marketing automation platform to a sales-focused CRM. eMarketeer's core objects are Contacts, Campaigns, Segments, and Flows built around email and event nurture; Pipedrive's core objects are People, Organizations, Deals, and Activities built around pipeline management. We resolve the fundamental schema difference — eMarketeer segments use real-time criteria rules that re-evaluate continuously, while Pipedrive uses static audience lists — by snapshotting current membership at cutover and importing it as a one-time list. We preserve campaign send history and engagement metrics where the export exposes them, map contact lifecycle data to Pipedrive People custom fields, and convert event registrations to Activity records. Flow automation triggers (lifecycle changes, form submissions, time delays) do not migrate to Pipedrive Workflows; we deliver a written inventory of every active Flow with its trigger and step logic for the customer's admin to rebuild. Custom properties vary between eMarketeer accounts without a documented field registry, so we derive the full schema from the export during discovery and surface unmapped fields before transformation begins.
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 eMarketeer 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.
eMarketeer
Contact
Pipedrive
Person
1:1eMarketeer Contacts map directly to Pipedrive People. Standard fields (email, first name, last name, phone, address) map to their Pipedrive equivalents. Lifecycle stage data from eMarketeer (subscriber, lead, customer, etc.) migrates to a custom Person field lifecycle_stage__c so that the customer's admin can use it for segmentation and reporting after cutover.
eMarketeer
Contact (with company association)
Pipedrive
Person + Organization
1:manyeMarketeer Contacts with an associated company name but no separate company object map to a Pipedrive Person with an Organization created on-the-fly during import. If the source eMarketeer account has a separate Companies object, we create Organization records first, then link Person records via the organization_id lookup.
eMarketeer
Campaign
Pipedrive
Deal + Activity
1:1eMarketeer Campaigns map partially to Pipedrive Deals where the campaign represents a sales opportunity with a value and stage. Campaign send history (subject, send date, recipient count, open rate, click rate) migrates as Notes attached to the Deal for audit purposes. Campaign performance metrics are not native Pipedrive objects; we preserve them as structured notes rather than as dashboard data.
eMarketeer
Segment
Pipedrive
Static List (People filter)
lossyeMarketeer Segments are defined by real-time criteria rules that re-evaluate continuously. Pipedrive does not support real-time dynamic segments — it uses static audience lists. We snapshot the current segment membership at cutover, create a Pipedrive static People list with the same name, and import all matching Person records into that list. The customer's admin should be aware that the Pipedrive list is a point-in-time snapshot and will not update automatically unless rebuilt with Pipedrive's filter logic.
eMarketeer
Flow
Pipedrive
Workflow (documented only)
1:1eMarketeer Flows are automation sequences with trigger-action logic (contact enters segment, wait N days, send email, update property). Flow definitions do not migrate to Pipedrive because Pipedrive Workflow Automation uses a different trigger model and action set. We audit every active Flow during discovery, document its trigger type, step sequence, conditions, and delays in a written handoff document, and the customer's admin rebuilds equivalent automations in Pipedrive Workflow Automation post-migration.
eMarketeer
Event
Pipedrive
Activity
1:1eMarketeer Events with registration and attendance data map to Pipedrive Activities of type Meeting. Registration count, attendee list (linked by Person), and custom event type fields migrate to Activity custom fields. Check-in status and session-level attendance require field-level mapping depending on the source schema, which we derive from the export during discovery.
eMarketeer
Custom Property (Contact-level)
Pipedrive
Person Custom Field
lossyeMarketeer custom properties on Contacts (text, number, date, dropdown types) map to Pipedrive People custom fields. We derive the full custom property schema from the export because eMarketeer does not publish a field registry. Property enumerations (dropdown options) require explicit mapping to Pipedrive picklist values. Default values carry over unless the customer specifies otherwise during scoping.
eMarketeer
Custom Property (Campaign-level)
Pipedrive
Deal Custom Field
lossyCampaign-level custom properties migrate to Deal custom fields in Pipedrive. Where a campaign maps to a Deal, its custom properties attach to that Deal record. Properties with no corresponding Deal (campaigns stored purely as marketing records) migrate as Notes for manual reference.
eMarketeer
Template
Pipedrive
Documented (HTML blob)
1:1eMarketeer email templates export as HTML blobs. Pipedrive does not store marketing email templates as a native object in the CRM core. We extract the HTML content and provide it to the customer as a structured file. Visual template editors with locked components may not reconstruct identically in Pipedrive Mailroom or any external email tool the customer adopts.
eMarketeer
Engagement Activity (open, click, unsubscribe)
Pipedrive
Activity + Note
1:1eMarketeer engagement events (open, click, unsubscribe per contact per campaign) aggregate into a contact activity log in Pipedrive. We migrate engagement timestamps as Activity records of type Email with a note describing the engagement type. Real-time engagement tracking (opens and clicks firing as events) requires the destination system's own email tracking to be active post-migration; the historical log provides a reference for past behavior but does not recreate live tracking.
eMarketeer
SMS Message
Pipedrive
Activity
1:1SMS sends tracked as part of eMarketeer Flow execution migrate as Activity records with type Note describing the SMS content and send timestamp. Delivery receipts and opt-out states may require reconciliation against Pipedrive's HasOptedOutOfEmail field and any SMS integration the customer adopts post-migration (Pipedrive's SMS features are available through third-party integrations or the Sales Automation Advanced plan and above).
eMarketeer
Owner
Pipedrive
User
1:1eMarketeer Owners (users who created or are assigned to records) map to Pipedrive Users by email match. We resolve all distinct owner references during discovery and flag any owner without a matching Pipedrive User for the customer's admin to provision before record import begins.
| eMarketeer | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Contact (with company association) | Person + Organization1:many | Fully supported | |
| Campaign | Deal + Activity1:1 | Fully supported | |
| Segment | Static List (People filter)lossy | Fully supported | |
| Flow | Workflow (documented only)1:1 | Fully supported | |
| Event | Activity1:1 | Fully supported | |
| Custom Property (Contact-level) | Person Custom Fieldlossy | Fully supported | |
| Custom Property (Campaign-level) | Deal Custom Fieldlossy | Fully supported | |
| Template | Documented (HTML blob)1:1 | Fully supported | |
| Engagement Activity (open, click, unsubscribe) | Activity + Note1:1 | Fully supported | |
| SMS Message | Activity1:1 | Fully supported | |
| Owner | User1:1 | Fully supported |
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.
eMarketeer gotchas
Segment membership depends on real-time rules, not static lists
Flow automation triggers may not map 1:1 to destination platforms
Custom property schemas vary between accounts and lack a documented field registry
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Discovery and schema derivation
We audit the source eMarketeer account during discovery, extracting all available objects: Contacts, Campaigns, Segments, Flows, Events, Custom Properties, and engagement history. Because eMarketeer does not publish a field registry, we derive the complete custom property schema from the export itself. We also identify which segments use real-time criteria rules versus static membership, document all active Flows with their trigger types, and count record volumes per object to size the migration and validate against the destination Pipedrive tier limits.
Field mapping workbook
We build a field mapping workbook that maps every eMarketeer field to a typed Pipedrive field. Standard fields map directly (email to email, first name to first name, etc.). Custom properties map to Pipedrive custom fields that we create on the Person, Organization, or Deal object during the schema setup phase. Enumeration properties map to Pipedrive picklist values explicitly. Segment membership snapshots become static People lists in Pipedrive with a documented creation date and scope. The mapping workbook is the source of truth for all transformation logic.
Pipedrive workspace configuration
Before any data moves, we configure the destination Pipedrive workspace: creating custom fields on Person, Organization, and Deal objects matching the mapped schema; setting up pipeline stages corresponding to the customer's deal lifecycle; provisioning any missing Users for owner reconciliation; and confirming which Pipedrive plan features (Workflow Automation, Campaigns, etc.) are active for the customer's tier. Pipedrive's native import tool or the Import2 integration can handle basic field mapping, but complex custom schemas with lookups and enumerations require pre-configuration.
Data extraction and cleanup
We extract data from eMarketeer in dependency order, starting with the base objects (Contacts, Organizations if applicable) and moving to related objects (Campaigns, Events, Engagements). We run deduplication on the extracted contacts, flag records with missing required fields (no email, no name), and surface data quality issues to the customer for cleanup decisions before import. This phase prevents duplicates and incomplete records from entering Pipedrive.
Production import in dependency order
We run the production import into Pipedrive in record-dependency order: Organizations (if applicable), then People, then Deals (with Person and Organization lookups resolved), then Activities (Events, engagement history), then static segment lists. Each phase emits a row-count reconciliation report showing records imported versus records in the source export. Any rejected records are logged with error reasons and surfaced for remediation before the next phase begins.
Cutover, validation, and Flow handoff
We freeze eMarketeer writes during cutover, run a final delta migration of any records modified during the migration window, then enable Pipedrive as the system of record. We deliver the Flow inventory document to the customer's admin team documenting every active flow with its trigger, steps, conditions, and recommended Pipedrive Workflow Automation equivalent. We support a short hypercare window where we resolve reconciliation issues raised by the team. We do not rebuild eMarketeer Flows as Pipedrive Workflows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
eMarketeer
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 eMarketeer and Pipedrive.
Object compatibility
3 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
eMarketeer: Not publicly documented..
Data volume sensitivity
eMarketeer 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
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