CRM migration
Field-level mapping, validation, and rollback between Property Shell and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Property Shell
Source
Pipedrive
Destination
Compatibility
11 of 11
objects map 1:1 between Property Shell and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
Property Shell structures its CRM around property development projects — objects like Projects, Properties, Units, and Leads are purpose-built for real estate sales workflows, but the platform's schema does not map 1:1 to Pipedrive's standard People-Organizations-Deals model. FlitStack AI starts by auditing Property Shell's custom fields and property-unit associations to build a pre-migration schema plan for Pipedrive. We then migrate contacts and organizations directly, map property-linked deals to Pipedrive Deals with custom fields capturing property identifiers and development context, route leads to Pipedrive's Lead object, and transfer activity history (calls, notes, emails) as Activities. Property Shell's marketing automation sequences, lead nurture journeys, and project-specific automations do not migrate — they require manual rebuild in Pipedrive's Automation and Sequences tools. We deliver an export of those definitions as a rebuild reference. The migration uses scoped read access against Property Shell's API, with a 24–48 hour delta window at cutover to capture in-flight changes. Audit logs and one-click rollback protect against reconciliation failures.
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 Property Shell 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.
Property Shell
Contact / Person
Pipedrive
Person
1:1Direct map. Property Shell contacts (buyer names, agent names, property manager contacts) migrate to Pipedrive People. Email, phone, address, and owner assignment carry over as direct field mappings. FlitStack's migration engine validates email format and uniqueness against Pipedrive's Person object requirements before inserting each record. Contacts without a valid email address format are flagged for manual review before migration commits — your admin confirms the correct contact record or supplies a valid email.
Property Shell
Company / Agency
Pipedrive
Organization
1:1Direct map. Property Shell company records (real estate agencies, developer entities, law firms, property management companies) migrate to Pipedrive Organizations. Company name, domain/website, physical address, industry classification, employee count, and owner assignment map to their Pipedrive Organization equivalents as direct field mappings. Any custom fields present on Property Shell companies are inventoried during the schema audit phase and created as custom fields on the Pipedrive Organization object before the migration run.
Property Shell
Lead / Enquiry
Pipedrive
Lead
1:1Direct map. Property Shell's enquiry and lead records map to Pipedrive's Lead object. Lead status, source attribution, property interest, and any custom fields from Property Shell map to corresponding custom fields in Pipedrive. Pipedrive's Lead object is separate from Person — leads convert to People at the point of deal creation or through a manual conversion action in the Pipedrive UI.
Property Shell
Deal / Contract
Pipedrive
Deal
1:1Direct map. Property Shell deals (sale contracts, reservation agreements, off-the-plan purchase contracts) migrate to Pipedrive Deals. Deal title, monetary value, stage in pipeline, expected close date, assigned owner, and property association carry over as direct field mappings. Pipedrive Deals inherit all accessible custom fields from the parent Organization and Person records during migration. Deals without a valid owner assignment or without a linked property identifier are flagged for admin review before the migration run commits those records to Pipedrive.
Property Shell
Project / Development
Pipedrive
Custom Fields on Organization / Deal
1:1Property Shell's Project object has no direct equivalent in Pipedrive's object model. Development context — including project name, development type (residential, commercial, mixed-use), and construction completion stage — migrates as text custom fields on Pipedrive Organizations and is mirrored on associated Deals for cross-reporting in Pipedrive Insights. This dual placement allows your Pipedrive admin to filter and segment reports by development across the full deal pipeline.
Property Shell
Property / Unit
Pipedrive
Custom Fields on Deal
1:1Property Shell units (lot number, street address, asking price, settlement date, floor level, unit type) map to custom fields on Pipedrive Deals. Each deal represents one unit or lot sale. Multi-unit contracts in Property Shell that were modelled as single records will need to be split into one Deal per unit — your FlitStack consultant confirms the splitting logic during the schema audit phase before the migration ETL run executes.
Property Shell
Activity (Call, Email, Meeting, Note)
Pipedrive
Activity
1:1Direct map. Property Shell engagement records — call logs, email threads, meeting notes, and general notes — migrate as Pipedrive Activities attached to the relevant Person, Organization, or Deal record. Original timestamps (create date and time) and owner assignments are preserved during migration. FlitStack's migration engine maps the Property Shell activity type to the nearest Pipedrive activity_type value; unrecognized types are flagged for your Pipedrive admin to configure in Pipedrive Settings > Activity Types before migration runs.
Property Shell
Attachment / File
Pipedrive
File
1:1Direct map. File attachments from Property Shell records — contract PDFs, floor plans, site images, legal documents — re-upload to Pipedrive Files and are linked to the corresponding Person, Organization, or Deal record via Pipedrive's file attachment API. Pipedrive enforces a 25MB per-file size limit; files exceeding this threshold are flagged in the pre-migration file inventory report for your team to handle separately before the migration run.
Property Shell
User / Owner
Pipedrive
User
1:1Owner resolution by email match. Property Shell owner IDs are resolved against Pipedrive user email addresses. Unmatched owners are flagged before migration — your team either invites them to Pipedrive or assigns their records to a nominated fallback owner. No record lands in Pipedrive without a valid user_id owner assignment.
Property Shell
Workflow / Automation
Pipedrive
None
1:1Property Shell automations — including enquiry-to-inspection nurture sequences, stage-triggered email follow-ups, contract-sent alerts, and AI-powered lead scoring — do not have equivalents in Pipedrive that can receive them via automated migration. FlitStack exports the automation definitions as a structured reference document in JSON or spreadsheet format. Your Pipedrive admin uses this reference to rebuild each workflow using Pipedrive Automations (field-change and stage-change triggers) and Pipedrive Sequences (multi-step email nurture campaigns).
Property Shell
Report / Dashboard
Pipedrive
None
1:1Property Shell's development-level reports — absorption rate by project, enquiry-to-contract conversion pipeline, settlement forecast, stock-on-hand dashboard — have no direct equivalent in Pipedrive's standard reporting module. The underlying data migrates fully, enabling your Pipedrive admin to rebuild reports using Pipedrive Insights with custom fields from Deals and Organizations. FlitStack delivers a report-mapping guide alongside the migration package, listing each Property Shell report and the recommended Pipedrive Insights configuration to replicate its output.
| Property Shell | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact / Person | Person1:1 | Fully supported | |
| Company / Agency | Organization1:1 | Fully supported | |
| Lead / Enquiry | Lead1:1 | Fully supported | |
| Deal / Contract | Deal1:1 | Fully supported | |
| Project / Development | Custom Fields on Organization / Deal1:1 | Fully supported | |
| Property / Unit | Custom Fields on Deal1:1 | Fully supported | |
| Activity (Call, Email, Meeting, Note) | Activity1:1 | Fully supported | |
| Attachment / File | File1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Workflow / Automation | None1:1 | Fully supported | |
| Report / Dashboard | None1:1 | 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.
Property Shell gotchas
No documented public API for data export
Highly customised per-customer schema requires pre-migration field audit
Interactive Maps are visualisation-layer only and cannot be migrated
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
Schema audit and destination planning
FlitStack begins every Property Shell migration with a schema audit: we inventory all custom fields, property-unit associations, pipeline stages, owner assignments, and activity types in Property Shell. We then produce a Pipedrive schema plan — a list of custom fields to create in Pipedrive before data arrives, pipeline and stage names to configure, and a mapping document showing how each Property Shell field lands in Pipedrive. This plan is delivered as a working document your Pipedrive admin can action in 30–60 minutes before migration begins.
Owner and user resolution
Property Shell users and deal owners are resolved against Pipedrive users by email address. FlitStack generates an owner-resolve report showing which Property Shell owners have matching Pipedrive users, which do not, and which require invitations. Records owned by unresolved users are assigned to a nominated fallback owner during migration. This step prevents orphaned records — no contact, deal, or activity lands in Pipedrive without a valid user_id.
Sample migration with field-level diff
A representative sample — typically 100–300 records spanning People, Organizations, Leads, Deals, and Activities — migrates first. FlitStack generates a field-level diff comparing the source values against the destination values in Pipedrive. You verify that property-unit custom fields populated correctly, that deal stage mapping reflects the correct Pipedrive pipeline stages, and that owner resolution worked as expected. This step is the gate before the full migration run — if the sample reveals mapping errors, we correct the field mapping configuration and re-run the sample before proceeding.
Full migration run with delta-pickup cutover
The full migration runs against Pipedrive's API, migrating all People, Organizations, Leads, Deals, Activities, and Files. A delta-pickup window of 24–48 hours opens at the point of cutover — any records created or modified in Property Shell during the cutover window are captured and synced to Pipedrive. After the delta window closes, a final reconciliation report compares record counts and field completeness between the two systems. Audit logs record every operation. If reconciliation fails, one-click rollback restores Pipedrive to its pre-migration state so the migration can be re-run with corrected configuration.
Platform deep dives
Property Shell
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 Property Shell 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
Property Shell: Not publicly documented.
Data volume sensitivity
Property Shell 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
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