CRM migration
Field-level mapping, validation, and rollback between Entera and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Entera
Source
Pipedrive
Destination
Compatibility
15 of 15
objects map 1:1 between Entera and Pipedrive.
Complexity
CModerate
Timeline
24–72 hours
Overview
Entera is a real estate investment SaaS platform designed for single-family rental investors, storing contacts with embedded company data, property-linked deals, and custom fields for investment metrics such as IRR, cap rate, and property type. Pipedrive is a sales-focused CRM that separates Person (contact) and Organization (company) entities, uses Deals with Pipeline and Stage fields, and supports 16 custom field types per entity. FlitStack AI connects to Entera's export API, extracts all Person, Organization, Deal, Activity, and custom field records, then maps them into Pipedrive's JSON-based API endpoints — creating the necessary custom fields in Pipedrive before inserting records in dependency order (Organizations first, then Persons, then Deals, then Activities). Every pipeline stage name is mapped value-by-value, investment-specific custom fields are recreated as Pipedrive custom fields, and original timestamps are preserved as custom datetime fields. Workflows, sequences, and automation logic do not migrate — we export the Entera workflow definitions as a structured JSON reference so your Pipedrive admin can rebuild them using Pipedrive's automation builder. All migration operations use read-only access to Entera; your team continues working in Entera throughout the cutover window.
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 Entera 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.
Entera
Contact
Pipedrive
Person
1:1Entera contacts map directly to Pipedrive Persons using name, email, phone, and address fields. The primary company association from Entera becomes a link to a Pipedrive Organization, which may need to be created first if it does not yet exist in Pipedrive.
Entera
Contact.company (embedded)
Pipedrive
Organization
1:1Entera stores company data inside the contact record rather than as a separate object. FlitStack AI extracts every unique company name from all Entera contacts, creates the corresponding Organization records in Pipedrive, then updates each Person record with the resolved organization_id lookup. This dependency order is critical because Pipedrive requires Organizations to exist before Persons can be linked via the foreign key relationship.
Entera
Deal
Pipedrive
Deal
1:1Entera deals map to Pipedrive Deals with deal name, value, expected close date, and owner resolved by email matching. The Pipeline and Stage fields in Pipedrive are populated based on the Entera deal's current stage label, using the value-mapping table confirmed during the planning phase. Each Entera deal also receives its custom investment fields (IRR, cap rate, property address) via pre-created Pipedrive custom fields on the Deal record.
Entera
Deal stage name
Pipedrive
Stage (within Pipeline)
1:1Each distinct stage label in Entera (e.g., Under Review, Due Diligence, Closing) is mapped to a corresponding Pipedrive Stage name within the assigned Pipeline. Probability values are applied per Pipedrive's stage configuration. Unmapped stages default to a catch-all stage and are flagged for admin review.
Entera
Custom field: property_address
Pipedrive
Organization or Deal (custom field)
1:1Pipedrive has no native property-address field. The property address from Entera is migrated as a Pipedrive varchar custom field on either the Organization or Deal entity, depending on whether Entera associates the address with the company or the deal record. FlitStack AI determines the correct parent entity during the audit phase and creates the Property_Address__c field on the appropriate entity via the /organizationFields or /dealFields API endpoint before inserting records.
Entera
Custom field: investment_type (enum)
Pipedrive
Deal (custom field enum)
1:1Entera investment_type values (e.g., Buy-and-Hold, Fix-and-Flip, BRRRR) are mapped to Pipedrive enum options on a custom Deal field. The exact option labels are matched value-by-value; any Entera values without a Pipedrive equivalent are flagged for admin selection before migration runs.
Entera
Custom field: IRR (numeric)
Pipedrive
Deal (custom field double)
1:1The IRR value from Entera is migrated as a Pipedrive double-type custom field on the Deal record. Pipedrive supports numeric custom fields up to 18 digits, which covers all realistic IRR percentage values. No transformation is required beyond type mapping from Entera's numeric format to Pipedrive's double field representation.
Entera
Custom field: cap_rate (numeric)
Pipedrive
Deal (custom field double)
1:1Cap rate values from Entera are migrated as a Pipedrive double-type custom field on the Deal record, stored as Cap_Rate__c. Because Pipedrive double fields preserve full decimal precision without rounding, cap rate values transfer with complete accuracy. FlitStack AI creates the Cap_Rate__c field via the /dealFields API endpoint before inserting any Deal records, ensuring the custom field exists and is properly keyed for the first migration run.
Entera
Activity (property tour, due-diligence note, investor call)
Pipedrive
Activity
1:1Entera activity logs are migrated as Pipedrive Activities of the corresponding type (call, meeting, task). Each activity is linked to its parent Person or Deal record using Pipedrive's activity API parameters. Original timestamps are preserved using the done_time and due_date fields.
Entera
Note / free-text comment
Pipedrive
Note
1:1Entera free-text notes attached to contacts or deals migrate as Pipedrive Notes, which support both plain text and HTML content. Notes are linked to the parent Person, Organization, or Deal via the entity_type and entity_id parameters in the Pipedrive Notes API.
Entera
User / owner
Pipedrive
User
1:1Entera user IDs on records are resolved by matching the owner's email address against Pipedrive user accounts. Unmatched owners are flagged before migration — your team either invites the user to Pipedrive or reassigns records to a designated fallback owner. No record lands without a Pipedrive user owner.
Entera
Workflow / automation
Pipedrive
Not migrated
1:1Entera automations (e.g., stage-triggered emails, property listing alerts) do not have a Pipedrive equivalent and cannot be migrated automatically. FlitStack exports the Entera automation definitions as a structured JSON file so your Pipedrive admin can rebuild them in Pipedrive's automation builder.
Entera
Attachment / file
Pipedrive
File (via Activity or Note)
1:1Files attached to Entera contacts, companies, or deals are downloaded and re-uploaded to Pipedrive as attachments on the corresponding Activity or Note record. Pipedrive's per-file size limit is 50 MB; files exceeding this are flagged for manual handling.
Entera
Create / update timestamps
Pipedrive
Custom datetime fields
1:1Pipedrive's native CreatedDate and update_time fields reflect the migration run timestamp, not the original Entera creation or update date. FlitStack AI preserves the original Entera timestamps as custom datetime fields (Original_Create_Date__c, Original_Update_Date__c) on each record so historical reporting continuity is maintained and your team can sort and filter by when records were originally created in Entera.
Entera
Source system ID
Pipedrive
Custom field
1:1The original Entera record ID is stored on each migrated Pipedrive record as Entera_Source_ID__c. This field enables delta-run de-duplication, ensuring that if a record is modified in Entera during the cutover window, FlitStack updates the existing Pipedrive record instead of creating a duplicate. The source ID also provides a permanent audit trail back to the original Entera system for compliance and reference purposes.
| Entera | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Contact.company (embedded) | Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Deal stage name | Stage (within Pipeline)1:1 | Fully supported | |
| Custom field: property_address | Organization or Deal (custom field)1:1 | Fully supported | |
| Custom field: investment_type (enum) | Deal (custom field enum)1:1 | Fully supported | |
| Custom field: IRR (numeric) | Deal (custom field double)1:1 | Fully supported | |
| Custom field: cap_rate (numeric) | Deal (custom field double)1:1 | Fully supported | |
| Activity (property tour, due-diligence note, investor call) | Activity1:1 | Fully supported | |
| Note / free-text comment | Note1:1 | Fully supported | |
| User / owner | User1:1 | Fully supported | |
| Workflow / automation | Not migrated1:1 | Fully supported | |
| Attachment / file | File (via Activity or Note)1:1 | Fully supported | |
| Create / update timestamps | Custom datetime fields1:1 | Fully supported | |
| Source system ID | Custom field1:1 | 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.
Entera gotchas
No public API means migration requires support-coordinated exports
Custom fields are invisible in standard exports
Document attachments require separate download coordination
Marketplace data may not export cleanly without provider consent
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
Audit Entera data and map pipeline stages
FlitStack AI connects to Entera with read-only API credentials and exports a full record dump: all Person, Organization (extracted from embedded company data), Deal, Activity, and custom field records. We identify every distinct deal stage label, every custom field name and type, and the count of records per entity. We also export workflow definitions as structured JSON. The output is a pre-migration audit report delivered to your admin for confirmation before any Pipedrive schema is created.
Create Pipedrive pipelines, stages, and custom fields
Before records are inserted, FlitStack AI creates the target Pipedrive schema: one or more Pipedrive Pipelines with the correct Stages (mapped from Entera deal stages), and all required custom fields (IRR__c, Cap_Rate__c, Investment_Type__c, Property_Address__c, Original_Create_Date__c, Original_Update_Date__c, Entera_Source_ID__c) via the /dealFields and /personFields API endpoints. Admin approves the field names and stage mapping table before this step runs. Pipedrive's API generates the 40-character hash keys for each custom field.
Resolve owners and users by email
Entera owner IDs on records are resolved against Pipedrive users by email address. For each Entera owner email that matches a Pipedrive user, the user_id is recorded and applied during record insertion. Owner emails with no corresponding Pipedrive user are flagged in the pre-migration report. Your team either invites those users to Pipedrive before the migration run or designates a fallback Pipedrive user to own those records. No record migrates without a resolved Pipedrive owner.
Run a sample migration with field-level diff
A representative slice of 100–500 records (spanning Persons, Organizations, Deals, and Activities) migrates first. FlitStack AI generates a field-level diff comparing source Entera values to destination Pipedrive values for every mapped field, including custom fields. You review the diff to verify stage mapping, owner resolution, custom field population, and activity linking. Any field mapping errors are corrected before the full run commits. This sample run is the checkpoint before cutover.
Full migration run with delta pickup window
The full record set migrates in dependency order: Organizations first (for foreign-key resolution), then Persons with organization_id links, then Deals with person_id and stage_id mapping, then Activities with parent record links. After the initial run completes, a 24–48 hour delta pickup window captures any records created or modified in Entera during the cutover period. All operations are logged in an audit trail. If reconciliation fails, one-click rollback reverts the Pipedrive account to its pre-migration state. After delta pickup closes, the migration is complete and your team can begin using Pipedrive as the system of record.
Platform deep dives
Entera
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 1 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Entera and Pipedrive.
Object compatibility
1 of 8 objects need a manual workaround.
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
Entera: Not publicly documented.
Data volume sensitivity
Entera 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
Answers to the questions buyers ask most during Entera to Pipedrive migration scoping. Not seeing yours? Book a call.
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