CRM migration
Field-level mapping, validation, and rollback between Real Properties and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Real Properties
Source
Pipedrive
Destination
Compatibility
12 of 12
objects map 1:1 between Real Properties and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
Real Properties stores real estate CRM data using a contact-company-deal model with property-specific custom fields and listing records. Pipedrive organizes data around People, Organizations, Deals, and Activities, with property records stored either as Organizations, Deals with custom fields, or as a separate property tracking workflow depending on how your team uses Real Properties. The migration carries all standard records (people, organizations, deals, activities, notes) and maps Real Properties custom fields to Pipedrive custom fields on the equivalent object. The key translation challenge is property listing records — Real Properties treats these as distinct objects, while Pipedrive has no native property object, so listings become Deals with property-detail fields and linked Organizations for the property address or listing entity. Owner resolution uses email matching against Pipedrive users. Workflows, automation sequences, and custom reporting rules do not migrate — those must be rebuilt in Pipedrive's automation builder and reporting tools after data lands. FlitStack runs the migration via Pipedrive's REST API with bulk write batching, delta-pickup during cutover, and a field-level diff report before the full run commits.
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 Real Properties 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.
Real Properties
Contact
Pipedrive
Person
1:1Real Properties Contact maps directly to Pipedrive Person. All standard person fields including name components, email addresses, phone numbers, and postal addresses transfer as-is to the corresponding Pipedrive Person fields. The owner assignment is resolved by matching the Real Properties owner email against Pipedrive user accounts — if a Pipedrive user with the matching email exists, that user becomes the Person's owner. If no match is found, the record is flagged and assigned to a fallback owner designated by your team before migration begins.
Real Properties
Company
Pipedrive
Organization
1:1Real Properties Company records map to Pipedrive Organizations. Company name, domain/website, industry classification, employee count, and annual revenue fields transfer to the matching Org fields in Pipedrive. If your Real Properties account includes parent-child company hierarchies, those relationships are preserved using the Org's Parent Organization field in Pipedrive. Each company record must exist in Pipedrive before any Person records that link to it can be written, because Pipedrive requires the Organization to be present for the org_id link to resolve correctly.
Real Properties
Property Listing
Pipedrive
Deal + Organization
1:1Real Properties Property Listing has no native equivalent in Pipedrive. FlitStack creates a Pipedrive Deal with property details (address, listing price, property type, square footage) stored as custom fields on the Deal, and the property address as a linked Organization representing the physical property.
Real Properties
Deal
Pipedrive
Deal
1:1Real Properties Deal maps to Pipedrive Deal. Deal name, amount, stage, close date, and owner transfer directly. The pipeline-to-pipeline mapping is 1:1; stage names are mapped value-by-value based on your Pipedrive pipeline stage configuration.
Real Properties
Pipeline Stage
Pipedrive
Stage (Pipeline)
1:1Real Properties pipeline stages are mapped to Pipedrive deal stages on a per-pipeline basis. Each Real Properties stage name is matched value-by-value to the corresponding Pipedrive stage, and Pipedrive's stage probability percentages and forecast category settings are applied from your Pipedrive stage configuration. If your Real Properties setup includes custom stages that do not have obvious Pipedrive equivalents, your team must make explicit mapping decisions during the pre-migration planning phase. Stages that cannot be matched are flagged for manual resolution before the migration run executes.
Real Properties
Activity (Call, Email, Meeting)
Pipedrive
Activity
1:1Real Properties logged calls, emails, and meetings migrate as Pipedrive Activities. Activity type (Call, Meeting, Task), subject line, timestamp, duration, and the associated person or deal links are all preserved during the migration. The original Real Properties owner is assigned to the matching Pipedrive user based on email resolution. If an activity record references a person or deal that could not be migrated, the activity is attached to the nearest available parent record to preserve the historical context as completely as possible.
Real Properties
Note
Pipedrive
Note
1:1Real Properties notes migrate as Pipedrive Notes attached to the corresponding Person or Deal record. Rich-text formatting in Real Properties notes is preserved as HTML content in Pipedrive Notes. Notes without a linked record are attached to the Person if one exists.
Real Properties
Custom Field (Contact)
Pipedrive
Custom Field (Person)
1:1Real Properties custom fields on Contact records create custom fields on Pipedrive Person objects. Field types (text, number, date, picklist, checkbox) are matched to Pipedrive's supported field types. Each custom field key is a 40-character hash in Pipedrive; FlitStack creates the field in Pipedrive before data writes begin.
Real Properties
Custom Field (Property Listing)
Pipedrive
Custom Field (Deal)
1:1Property-specific custom fields (listing_price, mls_number, property_type, bedrooms, bathrooms, square_footage, year_built) migrate as custom fields on the Pipedrive Deal created for each listing record. These must be pre-created in Pipedrive with the correct field type before migration.
Real Properties
User / Owner
Pipedrive
User
1:1Real Properties owner records are matched to Pipedrive users by email address as the primary key. Unmatched owners are flagged before migration begins — your team either creates Pipedrive user accounts for them or assigns their records to a fallback owner designated in advance. No record lands in Pipedrive without an assigned user, ensuring your Pipedrive account maintains proper accountability and assignment visibility from the moment migration completes.
Real Properties
Attachment / File
Pipedrive
Attachment (Deal / Person)
1:1Files attached to Real Properties contacts, companies, deals, or property listings are re-uploaded to Pipedrive as attachments on the equivalent record. File size limits apply (Pipedrive caps individual attachments at the plan's storage limit).
Real Properties
Lead (if separate from Contact)
Pipedrive
Lead
1:1If your Real Properties setup maintains a separate Lead object distinct from Contact, those Lead records migrate as Pipedrive Leads. Pipedrive Leads exist as their own object type with a separate set of custom fields independent from the People object. FlitStack creates matching custom fields on the Lead object before migration runs, especially for property-related data that may be attached to Lead records. The Lead custom field hash keys are captured and used for all subsequent data writes to ensure field associations remain intact throughout the migration process.
| Real Properties | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Property Listing | Deal + Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline Stage | Stage (Pipeline)1:1 | Fully supported | |
| Activity (Call, Email, Meeting) | Activity1:1 | Fully supported | |
| Note | Note1:1 | Fully supported | |
| Custom Field (Contact) | Custom Field (Person)1:1 | Fully supported | |
| Custom Field (Property Listing) | Custom Field (Deal)1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Attachment / File | Attachment (Deal / Person)1:1 | Fully supported | |
| Lead (if separate from Contact) | Lead1:1 | 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.
Real Properties gotchas
Catalog entry is mismatched — realproperties.com is a brokerage, not a CRM
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 Real Properties data and design Pipedrive schema
FlitStack pulls a full data export from Real Properties via the API — contacts, companies, deals, property listings, activities, notes, and all custom field definitions. We audit record counts, identify custom field types, and document your Real Properties pipeline stages. From this, we build a Pipedrive setup plan: create pipelines, define deal stages with probabilities, create all custom fields on Person, Organization, Deal, and Lead objects, and capture each custom field's Pipedrive API hash key. Your Pipedrive admin reviews and approves the schema before any data writes begin.
Resolve owners and map pipeline stages
Real Properties owner records are matched to Pipedrive users by email address. Any owner without a corresponding Pipedrive user is flagged — your team creates the account or assigns those records to a fallback owner before migration runs. Simultaneously, we map Real Properties pipeline stages to Pipedrive deal stages, creating each stage in Pipedrive with the correct probability and forecast category. For property listing records, we confirm whether your team uses Deal-based or Organization-based property tracking and configure the mapping accordingly.
Migrate organizations and persons first, then deals
Pipedrive requires Organizations to exist before People can be linked to them, and People to exist before Deals can be linked via Person or Organization. FlitStack sequences the migration: Organizations first, then Persons with their org_id links, then Deals with their linked persons and property details, then Activities and Notes with their parent record references. This foreign-key ordering prevents orphaned records and broken links. Property listing records are written as Deals during this phase using the mapping plan from Step 1.
Run sample migration with field-level diff
A representative slice of records — typically 100–500 covering a cross-section of persons, organizations, deals, property listings, and activities — migrates first. We generate a field-level diff comparing the source values in Real Properties against the written values in Pipedrive. You verify that custom field values landed correctly, property listing records appear as the right deal type, and activity associations point to the correct person and deal. No full run commits until you sign off on the sample.
Execute full migration with delta pickup and rollback plan
The full migration runs against your live Pipedrive account. During the cutover window (typically 24–48 hours), your team continues working in Real Properties. A delta pickup captures any records created or modified during this period. FlitStack generates a complete audit log of every record written, and one-click rollback reverts all migrated data if reconciliation uncovers a mapping error. After validation, your team goes live in Pipedrive.
Platform deep dives
Real Properties
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 Real Properties 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
Real Properties: Not applicable.
Data volume sensitivity
Real Properties 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 Real Properties to Pipedrive migration scoping. Not seeing yours? Book a call.
Walk through your Real Properties to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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