CRM migration
Field-level mapping, validation, and rollback between BrightDoor and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
BrightDoor
Source
Pipedrive
Destination
Compatibility
10 of 10
objects map 1:1 between BrightDoor and Pipedrive.
Complexity
BStandard
Timeline
5–10 business days
Overview
BrightDoor organizes residential sales data around Visitors (prospective buyers), Communities, Lots, and a Sales Activity layer tied to model-home touchscreen interactions. Its CRM structure is purpose-built for new-home communities: visitor registrations carry community and lot context, and agent activities are linked to specific lots under development. Pipedrive, by contrast, structures everything around Persons, Organizations, Deals, and Activities — with no native concept of community, lot, or visitor-registration status. The migration therefore requires translating BrightDoor's real-estate-specific record types into Pipedrive's standard objects, using custom fields on Deals and Persons to carry forward community names, lot numbers, visitor registration timestamps, and any BrightDoor custom properties your team has added over time. FlitStack AI extracts BrightDoor's data via its export or API interface, builds the Pipedrive custom fields your schema requires before any records land, resolves owner assignments by email match against Pipedrive users, runs a sample migration to surface any field-level mapping gaps, then executes the full cutover with a 24–48 hour delta-pickup window so in-flight visitor registrations and deal updates during the switchover are captured. Automation rules, touchscreen-storytelling workflows, and any community-specific routing logic BrightDoor may carry do not migrate and must be rebuilt as Pipedrive automations post-cutover.
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 BrightDoor 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.
BrightDoor
Visitor / Contact
Pipedrive
Person
1:1BrightDoor's Visitor record (prospective home buyer who registers at a model home) maps directly to Pipedrive's Person object. Email, name, phone, and address fields map straightforwardly. Visitor-specific properties like registration_source or referral_channel migrate as Pipedrive custom fields. These custom fields are created in Pipedrive prior to migration to ensure no data loss.
BrightDoor
Visitor Registration Date
Pipedrive
Person (custom field)
1:1BrightDoor records when a visitor first registered at a community. Pipedrive has no native registration-date concept on Person — we create Registration_Date__c as a custom date field on the Person object to preserve this timestamp for follow-up sequencing. The field is populated using the original registration timestamp from BrightDoor's export file, ensuring accurate lead age calculations in Pipedrive.
BrightDoor
Community
Pipedrive
Organization
1:1BrightDoor's Community (master planned development or subdivision) maps to Pipedrive's Organization object. Community name becomes Organization name, and community-level address information maps to the Organization address fields. This is the primary grouping entity in BrightDoor. All related Lots and Deals reference this Organization, providing a unified view of each community's pipeline and performance.
BrightDoor
Lot / Parcel
Pipedrive
Deal (custom fields)
1:1BrightDoor's Lot is a first-class object representing a specific parcel within a Community. Pipedrive has no lot object — each BrightDoor lot becomes a Pipedrive Deal with Lot_ID__c and Community_Name__c custom fields set from the parent BrightDoor lot record. The deal's Organization links to the corresponding Community record.
BrightDoor
Deal / Opportunity
Pipedrive
Deal
1:1Where BrightDoor links a visitor's purchase interest to a specific lot, that intent record maps to a Pipedrive Deal. The Deal's Person is the visitor-turned-lead, the Organization is the community, and the lot context lives in custom fields (Lot_ID__c, Lot_Status__c). Stage names require value mapping.
BrightDoor
Pipeline / Stage
Pipedrive
Pipeline / Stage
1:1BrightDoor's sales pipeline stages (Prospect, Tour Scheduled, Contract Sent, Under Contract, Closed) map to Pipedrive stage names per pipeline. We map each stage label value-by-value and carry forward stage-entry timestamps as custom datetime fields for reporting continuity. This mapping preserves historical stage progression data, allowing managers to run pipeline reports without re‑creating the original sales process timeline.
BrightDoor
Agent / Builder
Pipedrive
User
1:1BrightDoor's Agent or Builder records represent the sales agent or builder associated with a community or lot. These map to Pipedrive Users by email match. If an agent has no Pipedrive user account, their records are assigned to a designated fallback owner and flagged for admin review.
BrightDoor
Activity (Call, Meeting, Note)
Pipedrive
Activity / Note
1:1BrightDoor activity records (calls, meetings, notes, tour interactions) map to Pipedrive Activities and Notes. Original timestamps, activity type, and owner are preserved. Touchscreen-storytelling events that lack a standard Pipedrive activity type migrate as Notes with a custom activity-type label. Custom activity-type labels are defined in Pipedrive's activity type settings prior to migration, ensuring consistent categorization across all imported records.
BrightDoor
Custom Properties
Pipedrive
Custom Fields (Person, Organization, Deal)
1:1BrightDoor custom fields (e.g., financing_type, builder_name, HOA_fees, model_home_number) map to Pipedrive custom fields on the corresponding object (Person, Organization, or Deal). Pipedrive custom fields use key-value hashes in the API; we generate the field definitions before migration so target fields exist during import.
BrightDoor
HomeRover / Tour Request
Pipedrive
Note or Deal Activity
1:1BrightDoor's HomeRover live-tour feature and its associated tour requests are not represented in Pipedrive's standard schema. Tour request data (requester name, scheduled time, property address) is preserved as a Note on the relevant Deal or Person record. The scheduling workflow must be rebuilt using Pipedrive Activities or a Calendly integration.
| BrightDoor | Pipedrive | Compatibility | |
|---|---|---|---|
| Visitor / Contact | Person1:1 | Fully supported | |
| Visitor Registration Date | Person (custom field)1:1 | Fully supported | |
| Community | Organization1:1 | Fully supported | |
| Lot / Parcel | Deal (custom fields)1:1 | Fully supported | |
| Deal / Opportunity | Deal1:1 | Fully supported | |
| Pipeline / Stage | Pipeline / Stage1:1 | Fully supported | |
| Agent / Builder | User1:1 | Fully supported | |
| Activity (Call, Meeting, Note) | Activity / Note1:1 | Fully supported | |
| Custom Properties | Custom Fields (Person, Organization, Deal)1:1 | Fully supported | |
| HomeRover / Tour Request | Note or Deal Activity1:1 | 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.
BrightDoor gotchas
mybrightdoor.com serves two different businesses
No publicly documented API for data export
Activity history not exportable via standard tools
HomeRover tour data isolated from CRM export
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
Discover BrightDoor data and schema
FlitStack connects to your BrightDoor account via export file or API and inventories all record types: visitors, communities, lots, deals, agents, activities, notes, and any custom properties. We catalog the full field list per object, identify pick-list values, flag empty or duplicate-rich fields, and deliver a data-quality report. This step establishes the migration scope and surfaces the custom field creation checklist for Pipedrive.
Build Pipedrive schema: pipelines, stages, and custom fields
Before any records move, your Pipedrive admin (or our team) creates the pipelines, stages, and custom fields the BrightDoor data requires. This includes Lot_ID__c, Lot_Status__c, Community_Name__c, Registration_Date__c, Budget_Range__c, Lead_Source__c, and any builder/developer fields discovered in Step 1. Pipedrive's field-creation interface (Company Settings > Data fields) requires paid-plan access for some field types — we flag any plan-gated fields in the schema checklist.
Resolve owners by email match and validate user access
BrightDoor agent and builder records are matched to Pipedrive users by email address. Unmatched owners are flagged and assigned to a designated fallback Pipedrive user. We verify that each target Pipedrive user has write permissions on the relevant objects before migration runs — Pipedrive's visibility group model can silently suppress imports for users without appropriate data access. During this step we also confirm that API access tokens are active, and we run a permission audit against each user's role to prevent any import batch from being silently dropped.
Run sample migration with field-level diff
A representative slice (typically 100–500 records spanning visitors, communities, lots, deals, and activities) migrates into Pipedrive first. We generate a field-level diff showing source values versus destination values for every mapped field, plus a record-count summary by object and stage. You review the diff to confirm lot-ID mapping, community-name placement, owner resolution, and registration-date capture before the full run commits.
Full migration with delta-pickup cutover
The full record set runs against Pipedrive using the validated mapping from the sample run. A 24–48 hour delta-pickup window captures any BrightDoor records modified during the cutover — new visitor registrations, updated lot statuses, or deal stage changes. FlitStack's audit log records every import operation, and one-click rollback is available if the destination data fails reconciliation against the source export.
Platform deep dives
BrightDoor
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 BrightDoor 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
BrightDoor: Not publicly documented.
Data volume sensitivity
BrightDoor 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 BrightDoor to Pipedrive migration scoping. Not seeing yours? Book a call.
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