CRM migration
Field-level mapping, validation, and rollback between Propertybase and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Propertybase
Source
Pipedrive
Destination
Compatibility
12 of 13
objects map 1:1 between Propertybase and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
Propertybase is a Salesforce-backed real estate CRM with a data model built around Listings, Offers/Contracts, and a two-type Contact system (Individual and Company Contacts) using Salesforce record types. Pipedrive is a sales-focused CRM with a simpler object model: People, Organizations, Deals, Activities, and Notes — plus custom fields scoped to each entity. The two platforms share the same API origin (Salesforce) on the export side, but their data models diverge sharply: Propertybase's real estate constructs (listings, offers, project hierarchies) have no native equivalent in Pipedrive and must be stored as custom fields on Deals. We sequence the migration so Pipedrive custom fields exist before data lands, then map contacts and companies first, followed by deals with listing data embedded in custom fields. Propertybase workflows, Process Builder rules, and validation rules do not migrate — we export those definitions as JSON so your Pipedrive admin can rebuild them using Pipedrive Automations. The API export runs from Propertybase's Salesforce org, and data loads into Pipedrive via REST API with token-based rate limits that FlitStack throttles and retries automatically. Our delta-pickup window captures any Propertybase changes made during the cutover so Pipedrive reflects the final state at go-live.
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 Propertybase 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.
Propertybase
Individual Contact
Pipedrive
Person
1:1Propertybase Individual Contacts (SystemIsIndividual=TRUE, ghost company in background) map directly to Pipedrive People. The ghost company record that Propertybase creates to satisfy Salesforce's AccountId requirement does not generate a corresponding Pipedrive Organization — only explicitly linked Company Contacts do. Individual Contact create dates and owner assignments are preserved on the Pipedrive Person record.
Propertybase
Company Contact
Pipedrive
Person + Organization
many:1Propertybase Company Contacts link to an actual Company record. Each Company Contact becomes a Pipedrive Person linked to a Pipedrive Organization via the Organization ID. Multiple Company Contacts sharing one Propertybase Company produce multiple Pipedrive People all pointing to the same Organization.
Propertybase
Company
Pipedrive
Organization
1:1Propertybase Companies map directly to Pipedrive Organizations. Company name becomes Organization name; domain maps to website field. Parent/child company hierarchies in Propertybase map to Pipedrive Organization's parent organization field if available, or are flattened if the nesting depth exceeds Pipedrive's single-level parent model.
Propertybase
Listing (Individual)
Pipedrive
Custom fields on Deal
1:1Propertybase Individual Listings have no Pipedrive equivalent — the listing address, price, status, type, and media links migrate as custom fields on the associated Pipedrive Deal. Pipedrive custom fields must be created in the Deal object before migration runs so the field keys (hash-based) are available for mapping. We preserve the original Listing ID as a custom field for traceability.
Propertybase
Listing (Project)
Pipedrive
Custom fields on Deal + Organization
1:1Propertybase Project Listings represent master developments with sub-listings. The project metadata (project name, stage, master project ID) migrates as custom fields on the Pipedrive Deal. Each sub-listing's individual property data (unit number, floor, price) also becomes custom fields on the associated Pipedrive Deal. No equivalent of Pipedrive's Product catalog exists natively in Propertybase, so no Product mapping is generated.
Propertybase
Offer / Contract
Pipedrive
Custom fields on Deal
1:1Propertybase Offers/Contracts reference both a Listing and a Contact. Since Pipedrive has no offer object, offer data (offer amount, status, purchaser name, offer date, closing conditions) migrates as custom fields on the Pipedrive Deal linked to that listing. When a single Propertybase listing has multiple offers, each offer generates a separate Pipedrive Deal sharing the same listing custom field values.
Propertybase
Enquiry / Request
Pipedrive
Person (with custom field flag)
1:1Propertybase Enquiries/Requests attached to a Contact migrate as a note or activity on the Pipedrive Person. Pipedrive does not have a native inquiry object, so the inquiry subject, source, and status are captured in a custom field on the Person record. Pipeline stage tracking for enquiries requires a separate Pipedrive Deal if the enquiry converts to an active transaction.
Propertybase
Propertybase User / Owner
Pipedrive
Pipedrive User
1:1Propertybase users are matched to Pipedrive users by email address. Unmatched owners are flagged before migration so your team can create the Pipedrive user first or assign their records to a fallback owner. Active vs. inactive user status is preserved as a Pipedrive user-active flag — inactive Propertybase users are not invited to Pipedrive unless your team specifies otherwise.
Propertybase
Activity (Call, Email, Meeting)
Pipedrive
Activity
1:1Propertybase activities map to Pipedrive Activities with type differentiation: calls become Activity type 'call', emails become 'email', and meetings become 'meeting'. Original timestamps, subject, and duration are preserved. Propertybase notes map to Pipedrive Notes attached to the associated Person, Organization, or Deal. The Salesforce ActivityRelation model (multiple contacts on one task) maps to Pipedrive's activity-person linkage.
Propertybase
Favorite (Listing-Contact link)
Pipedrive
Deal-Person association
1:1Propertybase Favorites link Contacts to Listings. Pipedrive has no favorite construct — these associations migrate as Deal-Person linkages via the Pipedrive deal_id + person_id association endpoint. Multiple contacts with favorites on the same listing generate multiple Deal-Person links under the same Pipedrive Deal representing that listing.
Propertybase
Attachment / Media
Pipedrive
Pipedrive Note or external URL
1:1Propertybase listing images and documents managed in Media Loader have no native equivalent in Pipedrive. We re-upload images as note attachments on the Pipedrive Deal where supported, or store the original Propertybase media URL as a custom field for reference. If Propertybase media is stored externally, we preserve the URL rather than re-hosting. Media Loader metadata (caption, order) is not migrated.
Propertybase
Custom Objects
Pipedrive
Custom fields on Person / Organization / Deal
1:1Propertybase custom Salesforce objects (real estate extensions) have no Pipedrive equivalent. Each custom object's fields are mapped to custom fields on the most appropriate Pipedrive entity — typically Deal for transactional custom data or Person for contact-level extensions. Lookup relationships in Propertybase custom objects that reference other custom objects become text fields in Pipedrive storing the related record ID.
Propertybase
Workflow Rules / Process Builder
Pipedrive
Not migrated
1:1Propertybase workflows, Process Builder flows, validation rules, and assignment rules do not have a migration path to Pipedrive. Pipedrive Automations operate on a different trigger model. We export your Propertybase workflow definitions as a structured JSON reference document listing trigger objects, criteria, and actions so your Pipedrive admin can rebuild equivalent automations using Pipedrive Automations or Sequences.
| Propertybase | Pipedrive | Compatibility | |
|---|---|---|---|
| Individual Contact | Person1:1 | Fully supported | |
| Company Contact | Person + Organizationmany:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Listing (Individual) | Custom fields on Deal1:1 | Fully supported | |
| Listing (Project) | Custom fields on Deal + Organization1:1 | Fully supported | |
| Offer / Contract | Custom fields on Deal1:1 | Fully supported | |
| Enquiry / Request | Person (with custom field flag)1:1 | Fully supported | |
| Propertybase User / Owner | Pipedrive User1:1 | Fully supported | |
| Activity (Call, Email, Meeting) | Activity1:1 | Fully supported | |
| Favorite (Listing-Contact link) | Deal-Person association1:1 | Fully supported | |
| Attachment / Media | Pipedrive Note or external URL1:1 | Fully supported | |
| Custom Objects | Custom fields on Person / Organization / Deal1:1 | Mapping required | |
| Workflow Rules / Process Builder | Not migrated1:1 | 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.
Propertybase gotchas
Formula and roll-up summary fields excluded from exports
Ghost company records for Individual Contacts
Workflow rules do not export — automations must be rebuilt
Media Loader assets require separate migration path
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 and export Propertybase data
FlitStack AI connects to your Propertybase Salesforce org via scoped read access and exports all records by object: Individual Contacts, Company Contacts, Companies, Listings (Individual and Project), Offers/Contracts, Enquiries, Activities, Notes, and any custom objects. We exclude formula fields, roll-up summary fields (Propertybase documentation explicitly notes these are excluded from Salesforce exports), and the ghost Account records generated for Individual Contacts. The export produces a structured dataset with original create dates, last-modified dates, and owner IDs preserved. We generate a data audit report listing record counts per object, duplicate risks, orphaned relationships (contacts with no company, listings with no offers), and any custom field definitions that need Pipedrive equivalents.
Configure Pipedrive workspace: pipelines, stages, and custom fields
Before any data lands, FlitStack AI creates the Pipedrive custom fields required for listing and offer data: Listing_Address__c, Listing_Status__c, Listing_Type__c, Project_Name__c, Offer_Amount__c, Offer_Status__c, Offer_Date__c, Offer_Purchaser__c, and the Propertybase ID traceability fields. We also create a Pipedrive pipeline that maps to your Propertybase deal stages — for example, Propertybase stages Inquiry, Offer Made, Under Contract, Closed Won, Closed Lost map to Pipedrive Deal stages with matching names. Pipedrive's pipeline-first model means the pipeline must exist before Deals can be created. We deliver a Pipedrive setup checklist so your admin can pre-create the pipeline and review the custom field configuration before the migration run.
Resolve users and owners by email
Propertybase users and owners are matched to Pipedrive users by email address. Unmatched owners — those with a Propertybase user record but no corresponding Pipedrive user — are flagged in the pre-migration report. Your team either creates the Pipedrive user first or designates a fallback Pipedrive user to own the records. No Contact, Company, or Deal is migrated without a valid Pipedrive owner assignment. We also flag inactive Propertybase users so they are not invited to Pipedrive unnecessarily. If your Propertybase org uses role hierarchies that affect record access, we document the mapping for your Pipedrive admin to configure visibility groups post-migration.
Run a sample migration with field-level diff
FlitStack AI runs a sample migration against a representative slice of your Propertybase data — typically 100–500 records spanning Individual Contacts, Company Contacts, Companies, Listings, Offers, and a few Activities. The sample produces a field-level diff report showing exactly what landed in each Pipedrive field for every source record. This is the moment to verify listing custom field mapping, offer-to-deal association logic (especially for listings with multiple offers), owner resolution, and ghost Account handling for Individual Contacts. You approve the sample results before the full migration runs. Any field mapping adjustments are made and re-tested before commit.
Full migration run with delta-pickup window
The full migration runs against Pipedrive via REST API, with rate-limit throttling managed automatically. Data loads in dependency order: Pipedrive Organizations first, then People (linked to Organizations for Company Contacts), then Deals with listing and offer custom fields. Activities and Notes attach to the correct Person, Organization, or Deal records using the preserved source IDs. During the cutover, your team continues working in Propertybase. A delta-pickup window (24–48 hours) captures any records created or modified in Propertybase after the migration snapshot was taken. FlitStack AI generates a complete audit log of every record migrated, including the Propertybase source ID and the Pipedrive destination ID, so your team can verify the final record count against Propertybase reports.
Validation, rollback plan, and workflow rebuild handoff
Post-migration, FlitStack AI runs a reconciliation check comparing the Propertybase record counts against the Pipedrive counts for each object. Discrepancies (missing records, duplicate Person records, unmatched Organizations) are flagged with source record IDs and resolution recommendations. If reconciliation fails beyond an agreed threshold, a one-click rollback reverts the Pipedrive data. We deliver the Propertybase workflow definitions as a JSON export so your Pipedrive admin can rebuild automations using Pipedrive Automations or Sequences. The handoff package also includes the field-mapping reference, the Pipedrive custom field key list (required for API integrations), and the delta-log of any records that changed in Propertybase during the cutover window.
Platform deep dives
Propertybase
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 4 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 Propertybase and Pipedrive.
Object compatibility
4 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
Propertybase: Salesforce API limits apply — not publicly documented per Propertybase tier.
Data volume sensitivity
Propertybase exposes a bulk API — large-volume migrations stream efficiently.
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 Propertybase to Pipedrive migration scoping. Not seeing yours? Book a call.
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