CRM migration

Migrate from Property Shell to Pipedrive

Field-level mapping, validation, and rollback between Property Shell and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.

Property Shell logo

Property Shell

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

11 of 11

objects map 1:1 between Property Shell and Pipedrive.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Property Shell logo

Property Shell

What's pushing teams away

  • Limited publicly documented API or export mechanisms, making it difficult to extract data for reporting, backups, or migrations to another platform.
  • Smaller review base (29 verified reviews on Capterra) and thin community resources compared to established CRM platforms, making peer support harder to find.
  • As a niche platform targeting property developers in Australia and New Zealand, teams operating in other regions or industries may find the feature set too specialised for broader CRM needs.

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Property Shell objects map to Pipedrive

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

maps to

Pipedrive

Person

1:1
Fully supported

Direct 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

maps to

Pipedrive

Organization

1:1
Fully supported

Direct 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

maps to

Pipedrive

Lead

1:1
Fully supported

Direct 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

maps to

Pipedrive

Deal

1:1
Fully supported

Direct 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

maps to

Pipedrive

Custom Fields on Organization / Deal

1:1
Fully supported

Property 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

maps to

Pipedrive

Custom Fields on Deal

1:1
Fully supported

Property 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)

maps to

Pipedrive

Activity

1:1
Fully supported

Direct 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

maps to

Pipedrive

File

1:1
Fully supported

Direct 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

maps to

Pipedrive

User

1:1
Fully supported

Owner 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

maps to

Pipedrive

None

1:1
Fully supported

Property 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

maps to

Pipedrive

None

1:1
Fully supported

Property 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.

Gotchas + challenges

What specifically takes care here

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 logo

Property Shell gotchas

High

No documented public API for data export

High

Highly customised per-customer schema requires pre-migration field audit

Medium

Interactive Maps are visualisation-layer only and cannot be migrated

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Property Shell property-unit data has no native Pipedrive object to receive it

    Property Shell stores individual Units (lot number, settlement date, floor level, contract type, lot size) as native objects linked to Deals. Pipedrive has no Unit or Property object — custom fields are the only destination for this data. Every unit in Property Shell that represents a separate sale must become a separate Pipedrive Deal with unit-specific custom fields. Teams that have modelled multi-unit contracts as single records in Property Shell will need to decide whether to split them into one Deal per unit or retain them as aggregated records — this decision must be made before migration because the data structure determines how Deals are split during the ETL run. Pipedrive's custom field limit per object is enforced at the account level, so large numbers of property-specific fields per Deal require careful scoping.

  • Pipedrive Lead and Person objects are separate — leads do not auto-become contacts

    Property Shell's Lead and Contact objects are frequently used interchangeably for buyer enquiry records. Pipedrive separates Leads (pre-qualification records captured via LeadBooster, web forms, or manual entry) from People (fully-qualified contacts linked to deals and organizations). Property Shell leads with an active deal attached will migrate to Pipedrive Leads with a Deal association, but Pipedrive requires a manual or workflow-driven conversion step to promote the Lead to a Person before it appears in the main CRM. FlitStack maps this routing based on deal stage: leads attached to active deals route to Pipedrive Leads with the deal pre-associated, but your Pipedrive admin must configure a conversion automation to create the Person record automatically when the deal moves to a specific stage.

  • Property Shell marketing automations require complete manual rebuild in Pipedrive

    Property Shell's enquiry-to-inspection nurture sequences, stage-triggered email automations, and AI-powered lead scoring do not have any Pipedrive equivalent that can receive them via migration. Pipedrive Automations handle field-change and stage-change triggers, and Sequences handle multi-step email nurture, but neither tool shares logic definitions with Property Shell. FlitStack exports the automation definitions as a structured reference document — your Pipedrive admin uses this to rebuild workflows in Pipedrive Automations and Sequences. The rebuild effort is proportional to the number of active automations in Property Shell and can range from one day to two weeks of admin time depending on complexity.

  • Pipedrive's per-seat pricing model changes team cost structure

    Property Shell's pricing is development- or subscription-based, with no per-seat enforcement visible in its public pricing tiers. Pipedrive charges per user per month ($14–$99/user/month depending on plan). Teams migrating from Property Shell may find that the per-seat model introduces a cost that was previously bundled or absent. Additionally, Pipedrive add-ons (LeadBooster at $32.50/user/month, Smart Docs, Workflow Automation limits on lower tiers) are priced separately and can significantly increase total cost above the base plan price. FlitStack includes a cost-comparison reference in the pre-migration planning pack so your team can model the Pipedrive licensing cost before migration commits.

  • Property Shell's AI lead scoring does not migrate — scores are not portable

    Property Shell applies AI-powered lead scores to enquiry records based on digital behaviour signals (page visits, enquiry form completion, email engagement). These scores are calculated by Property Shell's proprietary model and stored as numeric values in the source system. Pipedrive does not have a native AI scoring equivalent on its base plans; lead scoring requires Advanced tier or an integration with a third-party scoring tool. FlitStack preserves the last-known Property Shell score as a custom number field (Lead_Score_Source__c) on Pipedrive Leads, but the score is static — it does not update in Pipedrive without a manual or third-party scoring rebuild. Teams that rely heavily on lead scoring for prioritisation should treat this as a post-migration configuration item.

Migration approach

Six steps for a successful Property Shell to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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

Context on both ends of the pair

Property Shell logo

Property Shell

Source

Strengths

  • Purpose-built for property development projects with native concepts for lots, stages, releases, and settlements.
  • Real-time interactive mapping for display suites and project websites showing stock status and lot availability.
  • AI-powered lead scoring and automated nurture journeys from first enquiry through to settlement.
  • Comprehensive contract management with variation and upgrade tracking across the settlement lifecycle.
  • Integrates development, marketing, sales, and finance team collaboration within a single platform.

Weaknesses

  • No publicly documented API or developer portal — export and migration rely on ad-hoc data extraction.
  • Small review cohort and limited third-party community resources for troubleshooting or peer support.
  • Interactive Map geometry and visual stock statuses are UI-layer data not exposed for migration or backup.
  • Highly custom implementations per customer mean no standard schema — every migration requires a full field audit.
  • Platform is primarily oriented to the Australian property development market, limiting applicability for teams in other regions.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Property Shell and Pipedrive.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Property Shell: Not publicly documented.

  • Data volume sensitivity

    B

    Property Shell doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Property Shell to Pipedrive migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Property Shell to Pipedrive data migrations

Answers to the questions buyers ask most during Property Shell to Pipedrive migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most Property Shell to Pipedrive migrations complete in 48–72 hours of clock time for under 25,000 records. Property Shell setups with heavy custom-field counts or property-unit structures that require multi-Deal splitting extend to 5–10 days. The longest single step is the schema planning phase where Pipedrive custom fields and pipeline stages are configured before data arrives. FlitStack delivers the schema plan in the first 2–3 business days of the engagement.

Adjacent paths

Related migrations to explore

Ready when you are

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