CRM migration

Migrate from PropFlo to Pipedrive

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

PropFlo logo

PropFlo

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

14 of 14

objects map 1:1 between PropFlo and Pipedrive.

Complexity

BStandard

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

PropFlo and Pipedrive serve different market segments and their data models reflect that divergence. PropFlo is built for real estate developers and agents, with objects for Projects, Units, Leads, and Company Contacts alongside real estate-specific fields for property type, unit count, and asking price. Pipedrive is a general sales CRM organized around People, Organizations, Deals, Activities, and Custom Fields, with no native real estate object model. We migrate PropFlo's Leads to Pipedrive People, PropFlo Companies to Pipedrive Organizations, PropFlo Deals to Pipedrive Deals, and Activities (calls, meetings, notes) to Pipedrive Activities — preserving all custom fields as Pipedrive custom fields. Projects and Units have no Pipedrive equivalent; we surface them as Organization-level custom fields or note attachments so data is preserved for manual categorization. Pipedrive's API (v1 and v2) drives the migration, with batched reads to respect Pipedrive's rate limits. Workflows, approval flows, AOS generation rules, and PropFlo automation logic do not migrate — we export workflow definitions as a rebuild reference for your Pipedrive admin. A delta-pickup window captures any PropFlo records modified during cutover so Pipedrive reflects your final source state.

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

PropFlo logo

PropFlo

What's pushing teams away

  • Teams outgrow the platform when scaling to multiple large projects with complex inventory across hundreds of units, requiring more sophisticated ERP-level controls.
  • Limited integration ecosystem compared to established CRMs — teams needing deep third-party accounting or marketing tool connections may find PropFlo's options constrained.
  • Some users note that as the product rapidly releases new features, the learning curve for staying current with updates can create temporary friction.

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 PropFlo objects map to Pipedrive

Each row shows how a PropFlo 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.

PropFlo

Lead

maps to

Pipedrive

Person

1:1
Fully supported

PropFlo Leads map 1:1 to Pipedrive People. All standard Lead fields (name, email, phone, address) map to corresponding Pipedrive Person fields. PropFlo's lead_score, lead_status, and lead_source migrate as Pipedrive custom fields since Pipedrive has no native scoring field. FlitStack AI pre-creates these custom fields using Pipedrive's hash-key mechanism, preserves created_at timestamps and owner assignments, and validates the mapping during the sample migration step to ensure integrity before dataset is loaded.

PropFlo

Company Contact

maps to

Pipedrive

Person

1:1
Fully supported

PropFlo Company Contacts map to Pipedrive People. Each contact's primary PropFlo company becomes the Pipedrive Person's Organization link. Contacts with no primary company land as standalone Pipedrive People. FlitStack AI matches the primary company to the corresponding Pipedrive Organization, preserving custom fields and ownership details, and runs duplicate detection to avoid re-creating contacts that already exist in Pipedrive.

PropFlo

Company

maps to

Pipedrive

Organization

1:1
Fully supported

PropFlo Companies map to Pipedrive Organizations. Company name, website, industry, employee count, and annual revenue map to corresponding Organization fields. PropFlo company hierarchy (parent/child) maps to Pipedrive Organization parent_id. FlitStack AI also maps PropFlo's custom fields such as company_type to Pipedrive custom fields, and validates the hierarchy during the sample migration to ensure the parent/child structure is reproduced accurately in Pipedrive.

PropFlo

Deal

maps to

Pipedrive

Deal

1:1
Fully supported

PropFlo Deals map 1:1 to Pipedrive Deals. Deal name, value, stage, expected_close_date, and owner map to Pipedrive Deal fields. PropFlo deal pipeline maps to Pipedrive Pipeline; PropFlo deal stage values map to Pipedrive Stage values per pipeline. FlitStack AI also maps PropFlo custom fields such as asking_price to Pipedrive custom fields on Deal, preserves created_at timestamps, and resolves owners to Pipedrive users by email to ensure ownership during migration runs.

PropFlo

Activity (Call)

maps to

Pipedrive

Activity (Call)

1:1
Fully supported

PropFlo call activities migrate as Pipedrive Activities with type=Call. Original timestamp, duration, call notes, and owner preserved. Linked Person or Deal association preserved via Pipedrive's activity sub-resources. FlitStack AI maps the call duration and notes to the appropriate Pipedrive activity fields, pre-creates any custom fields needed for call metadata, and validates that the Person or Deal link is correctly established using Pipedrive's sub-resources API during the migration.

PropFlo

Activity (Meeting)

maps to

Pipedrive

Activity (Meeting)

1:1
Fully supported

PropFlo meetings migrate as Pipedrive Activities with type=Meeting. Start/end times, location, agenda notes, and attendees (linked People) preserved. Recurring meeting series are not natively supported in Pipedrive and are imported as individual activity records. FlitStack AI transfers meeting details including start/end times, location, agenda, and attendee links, pre-creates custom fields for any meeting-specific metadata, and handles recurring series by creating individual activity records to match Pipedrive's structure.

PropFlo

Activity (Email)

maps to

Pipedrive

Activity (Email)

1:1
Fully supported

PropFlo email activities migrate as Pipedrive Activities with type=Email. Subject, body content, direction (sent/received), timestamp, and linked Person or Deal preserved. Full email threading preserved via activity sub-resource links where available. FlitStack AI transfers the email subject, body, direction, and timestamp, pre-creates any custom fields for email-specific metadata, and ensures the thread link to the Person or Deal is correctly set using Pipedrive's activity sub-resources during migration.

PropFlo

Note

maps to

Pipedrive

Note

1:1
Fully supported

PropFlo notes migrate as Pipedrive Notes. Original note content, create timestamp, and owner preserved. Notes attached to a specific PropFlo entity (Lead, Contact, Deal) are linked to the corresponding Pipedrive Person or Deal during migration. FlitStack AI also maps any note-specific custom fields, verifies that the note's owner matches the corresponding Pipedrive user, and retains the original creation timestamp as a custom field to preserve audit history.

PropFlo

Project

maps to

Pipedrive

Organization

1:1
Fully supported

PropFlo Projects have no Pipedrive equivalent. We migrate Project name, project_status, and project_type as custom fields on the Pipedrive Organization representing the developer/client. Project-level data is preserved for manual segmentation in Pipedrive. FlitStack AI pre-creates project custom fields in Pipedrive, maps each project's name, status, and type to the fields on the Organization, and validates the mapping during the sample migration to ensure project data is accurately represented for segmentation and reporting.

PropFlo

Unit

maps to

Pipedrive

Organization or Note

1:1
Fully supported

PropFlo Units (properties within a Project) have no Pipedrive native equivalent. Unit details — unit_number, floor, bedrooms, area_sqft, facing, unit_type, status — migrate as custom fields on the parent Organization or as a structured Note attachment. Your Pipedrive admin chooses the preferred display approach.

PropFlo

Property

maps to

Pipedrive

Custom Field (Organization/Deal)

1:1
Fully supported

PropFlo Property records (asking_price, property_type, listing_type, days_on_market) map to Pipedrive custom fields on Organization or Deal depending on where the property context is stored in PropFlo. FlitStack AI creates the custom fields for asking_price, property_type, listing_type, and days_on_market in Pipedrive, maps them to the appropriate Organization or Deal based on the source context, and runs a diff during the sample migration to confirm accuracy before import.

PropFlo

Assignment Rule

maps to

Pipedrive

Pipedrive Automation

1:1
Fully supported

PropFlo assignment rules (auto-assigning leads to agents by territory or property) do not migrate. We export the rule definitions as a reference document your Pipedrive admin uses to rebuild them as Pipedrive Automations triggered by Lead creation or field-change events.

PropFlo

Workflow / Approval Flow

maps to

Pipedrive

Pipedrive Automation or Sequence

1:1
Fully supported

PropFlo workflows including AOS generation, demand note approval flows, and chatbot automation have no Pipedrive equivalent. We export workflow definitions as a rebuild reference for Pipedrive Automations (triggers and actions) or Pipedrive Sequences (email drip with tasks). FlitStack AI captures each workflow's trigger events, conditions, actions, and approvers in a structured format, enabling your Pipedrive admin to rebuild the logic as Pipedrive Automations or Sequences with minimal manual effort.

PropFlo

Attachment / File

maps to

Pipedrive

Pipedrive File Attachment

1:1
Fully supported

PropFlo file attachments (AOS PDFs, demand notes, property brochures) re-upload to Pipedrive as file attachments on the linked Person, Organization, or Deal. File size limits per Pipedrive plan apply; large files are chunked or linked via URL reference. FlitStack AI copies each file's metadata (filename, creation date) and uploads it via Pipedrive's API, splitting any file that exceeds the plan limit into chunks or storing a URL link for accessibility.

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.

PropFlo logo

PropFlo gotchas

High

No documented REST API constrains migration approach

Medium

AOS and Demand Note document files require separate handling

Medium

WhatsApp conversation media attachments not included in standard export

Low

Workflow automations cannot be exported and must be rebuilt

Low

Dashboard and report definitions are not exportable

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

  • Pipedrive custom fields use hash keys — not names — requiring pre-creation before import

    Pipedrive generates a 40-character hash key for each custom field the moment it is created in the destination account. PropFlo custom fields like lead_score, asking_price, unit_number, and property_type have no pre-existing Pipedrive hash keys. FlitStack pre-creates every PropFlo custom field in your Pipedrive account before migration, captures each hash key, and uses those keys in the import payload. If Pipedrive custom fields are created after migration begins, the hash keys change and field mapping breaks. We surface the complete custom field creation plan before the migration runs so your Pipedrive admin can approve the schema in advance.

  • PropFlo Projects and Units have no Pipedrive native equivalent — data requires manual structuration

    PropFlo's object model includes Projects (developments or building projects) and Units (individual properties within a project). Pipedrive has no native Project or Unit object — these are not part of Pipedrive's People–Organizations–Deals model. FlitStack migrates Project and Unit data as custom fields on the corresponding Pipedrive Organization or as structured note attachments, preserving every data point. However, Pipedrive's native pipeline views cannot group or filter by Project or Unit fields without additional custom reporting. We document the chosen approach (custom fields vs. note attachments) in the pre-migration plan so your admin can validate the display logic before data lands.

  • Pipedrive's token-based API rate limits affect large bulk migrations

    Pipedrive introduced token-based API rate limits in December 2024. Large PropFlo datasets (25,000+ records across People, Organizations, Deals, and Activities) require batched API reads and writes to avoid 429 Too Many Requests responses. FlitStack implements exponential backoff and request batching for Pipedrive API calls, targeting Pipedrive's published limits per plan tier. During the scoping call, we identify your Pipedrive plan tier and adjust batch sizes accordingly. This is especially important for teams on Pipedrive's Essential or Advanced plans where API rate limits are more restrictive than on Enterprise.

  • PropFlo AOS generation and demand note workflows do not transfer — rebuild required in Pipedrive

    PropFlo's approval flows, AOS (Allotment of Shares) generation, and demand note workflows are real estate-specific automation constructs with no equivalent in Pipedrive. Pipedrive Automations support trigger-action workflows and Pipedrive Sequences support email drip sequences, but there is no native document-generation or demand-note approval flow in Pipedrive at any plan tier. FlitStack exports PropFlo workflow definitions as a structured reference document (trigger events, conditions, actions, approvers) so your Pipedrive admin can rebuild the logic as Pipedrive Automations. We do not attempt a direct migration of PropFlo workflows as they will not function in Pipedrive.

  • Pipedrive per-seat pricing means team-wide PropFlo usage does not translate linearly

    PropFlo's flat-rate model typically covers unlimited users within an account. Pipedrive charges per-seat per month ($14–$99/user/month depending on plan). Teams migrating from PropFlo who have 10 or more PropFlo users may see a significant increase in Pipedrive licensing costs — a 10-user team on Pipedrive Advanced at $34/user/month annual billing costs $340/month before add-ons. FlitStack's pricing covers the data migration only; Pipedrive seat licensing is a separate line item. We include a post-migration Pipedrive licensing recommendation based on your user count during scoping so there are no billing surprises after go-live.

Migration approach

Six steps for a successful PropFlo to Pipedrive data migration

  1. Audit PropFlo data and build the migration map

    FlitStack exports your full PropFlo dataset via the PropFlo API — Leads, Company Contacts, Companies, Deals, Activities (calls, meetings, emails), Notes, and Attachments. We run a data-quality audit: identifying duplicate contacts, orphaned records, missing owner assignments, and PropFlo-specific fields (lead_score, project_name, unit_number, asking_price, property_type) that need Pipedrive custom field creation. You receive a written audit report and field-mapping document before any Pipedrive schema is touched. Projects and Units are flagged as requiring custom field workarounds at this stage.

  2. Pre-create Pipedrive custom fields and pipelines

    Before data moves, your Pipedrive admin (or FlitStack acting as admin) creates every Pipedrive custom field corresponding to PropFlo's custom properties — Lead_Score__c, Asking_Price__c, Project_Name__c, Unit_Number__c, Property_Type__c, and others identified in the audit. Pipedrive's hash-key mechanism means custom fields must exist before the import payload can reference them. FlitStack also creates the Pipedrive pipelines and stages that mirror PropFlo's deal pipelines, so stage values map correctly during import. Pipedrive's per-seat plan and automation limits are confirmed at this step.

  3. Resolve PropFlo owners to Pipedrive users

    PropFlo owner assignments (sales agents, channel partners) are resolved by email match against Pipedrive user accounts. Unmatched PropFlo owners are flagged before migration — your team either invites them to Pipedrive first or assigns their PropFlo records to a designated fallback Pipedrive user. No record lands in Pipedrive without a valid OwnerId. This step is critical for PropFlo setups where channel partner accounts have been used as record owners but do not yet have Pipedrive user accounts.

  4. Run sample migration with field-level diff

    A representative slice of PropFlo data — typically 100–500 records spanning Leads, Companies, Deals, and Activities — migrates first into your Pipedrive account. FlitStack generates a field-level diff comparing source values against destination field values, so you can verify custom field mapping (lead_score, project_name, unit_number), stage mapping, and owner resolution before the full run. Issues caught in the sample migration are corrected in the mapping document before the full dataset is committed.

  5. Full migration with delta-pickup window

    The complete PropFlo dataset migrates into Pipedrive using batched API writes to respect Pipedrive's rate limits. A delta-pickup window (24–48 hours after the full migration starts) captures any PropFlo records created or modified during the cutover period, ensuring Pipedrive reflects PropFlo's final state at go-live. FlitStack's audit log records every import operation, and one-click rollback is available if reconciliation against the audit report shows discrepancies.

Platform deep dives

Context on both ends of the pair

PropFlo logo

PropFlo

Source

Strengths

  • AI-powered lead scoring and automated nurturing reduce manual follow-up overhead for sales teams.
  • End-to-end coverage from lead capture through post-sales document generation (AOS, Demand Notes) in a single platform.
  • Highly rated ease of use (top 5 globally per G2) with rapid onboarding reported by multiple customers.
  • WhatsApp, email, and telephony integration for omni-channel client engagement within the CRM.
  • Affordable positioning targeting young real estate businesses, with strong customer support ratings.

Weaknesses

  • No publicly documented REST API — data export relies on admin panel functionality and manual coordination.
  • Dashboard and report definitions do not export and must be manually rebuilt in the destination platform.
  • Export limits (2K accounts/month noted in Crunchbase) may restrict bulk migration speed for larger datasets.
  • Limited third-party integration ecosystem compared to established CRM platforms.
  • As a younger product, documentation depth and community resources are less mature than competitors.
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 PropFlo 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

    PropFlo: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your PropFlo 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 PropFlo to Pipedrive data migrations

Answers to the questions buyers ask most during PropFlo 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 PropFlo to Pipedrive migrations complete in 24–72 hours for datasets under 25,000 records. Complex setups with Projects, Units, multiple custom fields, or more than 25,000 PropFlo records extend to 5–10 days. The longest planning step is pre-creating Pipedrive custom fields and mapping PropFlo's real estate-specific objects to Pipedrive's general sales model — particularly Projects and Units, which have no native Pipedrive equivalent.

Adjacent paths

Related migrations to explore

Ready when you are

Move from PropFlo.
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