CRM migration
Field-level mapping, validation, and rollback between LeadSimple and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
LeadSimple
Source
Pipedrive
Destination
Compatibility
11 of 12
objects map 1:1 between LeadSimple and Pipedrive.
Complexity
CModerate
Timeline
3–5 days
Overview
LeadSimple is a property-management CRM built around Leads, Processes (workflows), Properties, Units, and a shared inbox — Pipedrive is a deal-centric sales CRM built around People, Organizations, Deals, Activities, and Leads Inbox. These are different models: LeadSimple organizes around lease cycles and property occupancy; Pipedrive organizes around sales pipeline velocity and deal stages. FlitStack AI migrates all LeadSimple data that is technically transferable: leads, people, deals, activities, tags, owners, and custom fields. Property data from LeadSimple — property type, occupancy, units, cost — becomes custom fields on Pipedrive Organizations. Activities (notes, calls, emails) are migrated via API since LeadSimple's bulk export does not include them. What does not migrate: LeadSimple Processes (workflows), automated stage-change rules, and process-to-task triggers. These must be rebuilt in Pipedrive Automations. We provide a process audit export so your Pipedrive admin has a rebuild reference. The migration runs against Pipedrive's API with scoped read access on LeadSimple — your team keeps working in LeadSimple during cutover, and a delta-pickup window captures in-flight changes.
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 LeadSimple 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.
LeadSimple
Lead
Pipedrive
Lead
1:1LeadSimple leads map 1:1 to Pipedrive Leads Inbox. Fields like Pipeline Name, Stage Name, Source Name, and Referrer Name migrate as custom fields on the Pipedrive Lead object. Owner is resolved by email match against Pipedrive users. LeadSimple's stage status (Active / Won / Lost) maps to Pipedrive Lead status via value mapping.
LeadSimple
Person (contact)
Pipedrive
Person
1:1LeadSimple person fields (name, email, phone, address) map directly to Pipedrive Person. Custom fields on LeadSimple contacts (e.g., owner_type, owner_request) create custom Person fields in Pipedrive. Notes and activities associated with a contact are migrated via LeadSimple API and attached to the Pipedrive Person record.
LeadSimple
Property
Pipedrive
Organization + Custom Fields
1:1Pipedrive has no native Property or Unit object. LeadSimple properties are migrated as Pipedrive Organizations with property-specific data stored in custom fields: property_type, occupancy, number_of_units, cost. Address fields from LeadSimple property map to Organization address fields (street, city, state, zip). If a property has multiple owners or tenants, additional contact roles are created as Organization Contact Relationships.
LeadSimple
Unit
Pipedrive
Organization Custom Fields
many:1LeadSimple Units are co-located with Property in a parent-child relationship. In Pipedrive, unit count and unit-level custom fields are merged into the parent Organization as custom fields (e.g., Unit_Count__c, Unit_Type__c). If a property has more than one unit record with distinct data, FlitStack creates a custom linked entity or stores unit data as a multi-value custom field for reference.
LeadSimple
Deal
Pipedrive
Deal
1:1LeadSimple deals map to Pipedrive Deals with direct field mapping for name, ACV (annual contract value), stage, and close date. Owner resolves via email match to Pipedrive users. LeadSimple's deal-level cost field maps to a Pipedrive custom field (Deal_Cost__c) since Pipedrive has no native cost field. The deal is linked to the associated Organization (property) via Pipedrive's org_id relationship.
LeadSimple
Process (workflow stage)
Pipedrive
Custom Field on Lead / Person
1:1LeadSimple Processes define stage-based workflows (e.g., Inquiry → Showing → Application → Lease). Pipedrive has no process object. Process stage names migrate as a custom pick-list field (Process_Stage__c) on Lead and Person so the historical process position is preserved. The process definition and automation logic must be rebuilt in Pipedrive Automations — we export the process tree as a reference document.
LeadSimple
Activity (notes, calls, emails)
Pipedrive
Activity
1:1LeadSimple bulk export does not include notes, calls, emails, or texts. FlitStack retrieves activities via LeadSimple API, maps them to Pipedrive Activity records (type: note, call, email, task), and associates each activity to the correct Person, Organization, or Deal. Original timestamps and owners are preserved. This requires API access beyond the standard bulk export.
LeadSimple
Owner (Assigned To)
Pipedrive
User
1:1LeadSimple owner IDs map to Pipedrive users by email address. Before migration, FlitStack generates an owner resolution report: matched owners map directly; unmatched owners are flagged and assigned to a designated fallback Pipedrive user. No record lands without a Pipedrive owner assignment.
LeadSimple
Tag List
Pipedrive
Label
1:1LeadSimple tag lists on leads, contacts, and properties map to Pipedrive Labels using the same tag names from LeadSimple. Each unique tag in LeadSimple becomes a Label in Pipedrive and is applied to the corresponding Person, Lead, or Organization record. Tags containing special characters or spaces are normalized to alphanumeric format for Pipedrive compatibility. Multi-tag lists expand to multiple label assignments on the same record, preserving the full tagging taxonomy from LeadSimple.
LeadSimple
Custom fields (contact-level)
Pipedrive
Person custom field
1:1LeadSimple contact custom fields (e.g., how_did_you_hear, owner_request) map to Pipedrive Person custom fields by type: text → varchar, number → int, currency → varchar with $ prefix, date → date. Pick-list fields require value-by-value mapping since Pipedrive stores pick-list options as API hashes.
LeadSimple
Custom fields (property-level)
Pipedrive
Organization custom field
1:1LeadSimple property custom fields (e.g., lease_status, renewal_date, property_notes) map to custom fields on the Pipedrive Organization record. Conditional-logic fields that only exist on property or unit objects in LeadSimple must be stored as text or pick-list fields on Organization since Pipedrive has no property-level conditional logic.
LeadSimple
System IDs
Pipedrive
Custom field (Source_System_ID__c)
1:1LeadSimple's internal record ID is preserved as a custom text field (LeadSimple_ID__c) on each migrated record in Pipedrive. This enables delta-run de-duplication to prevent re-importing records already migrated, cross-system audit traceability to trace any record back to its LeadSimple origin, and rollback identification if reconciliation fails. The custom field stores the full LeadSimple GUID so you can reference source records during post-migration audits.
| LeadSimple | Pipedrive | Compatibility | |
|---|---|---|---|
| Lead | Lead1:1 | Fully supported | |
| Person (contact) | Person1:1 | Fully supported | |
| Property | Organization + Custom Fields1:1 | Fully supported | |
| Unit | Organization Custom Fieldsmany:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Process (workflow stage) | Custom Field on Lead / Person1:1 | Fully supported | |
| Activity (notes, calls, emails) | Activity1:1 | Fully supported | |
| Owner (Assigned To) | User1:1 | Fully supported | |
| Tag List | Label1:1 | Fully supported | |
| Custom fields (contact-level) | Person custom field1:1 | Fully supported | |
| Custom fields (property-level) | Organization custom field1:1 | Fully supported | |
| System IDs | Custom field (Source_System_ID__c)1:1 | 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.
LeadSimple gotchas
Notes and Activities excluded from bulk CSV export
No public API — migration requires workaround
Contact-level custom fields can vary per owner on the same property
Per-door pricing on Operations layer is a billing artifact not migratable
Workflow automation must be manually rebuilt on the destination
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
Extract LeadSimple data via bulk export and API
FlitStack initiates a bulk export from LeadSimple's export function (Leads page and Processes page) to capture all standard fields, custom fields, tag lists, and owner assignments. Simultaneously, we authenticate against the LeadSimple API to extract activity records — notes, call logs, email threads, and text messages — that are absent from the bulk export. The API pass also retrieves the process definition tree (stage names, transition rules, and conditional logic) as a structured audit document for the Pipedrive admin. All exported data is staged in a FlitStack migration sandbox, deduplicated by LeadSimple ID, and validated for encoding issues before mapping begins.
Design Pipedrive schema: pipelines, stages, and custom fields
Before any data writes to Pipedrive, FlitStack delivers a schema setup plan based on the LeadSimple data inventory. The plan specifies: (1) which Pipedrive pipelines and stages to create, mapped value-by-value from LeadSimple pipeline and stage names; (2) all custom fields to pre-create on Person, Organization, Deal, and Lead — including data type, pick-list values, and field group assignment; (3) organization naming convention for property records (e.g., [Property] — {address}). Custom field API keys in Pipedrive are hash-based and unique per account, so fields must exist in Pipedrive before field-level mapping can use them. This step typically runs in parallel with LeadSimple data extraction.
Run a sample migration with field-level diff
A representative slice — typically 100–500 records across leads, people, organizations, deals, and activities — migrates to Pipedrive in a validation pass. FlitStack generates a field-level diff report comparing source values against destination values for every mapped field. You review property custom field mapping, stage value mapping, owner resolution results, and activity association. Known issues (unresolved owners, value-mapping gaps, missing pick-list options) surface before the full run commits. No records in the sample are counted toward the final migration total.
Full migration run with owner resolution and delta-pickup
The full dataset migrates in sequenced batches: Organization records first (property names become org names), then People linked to their primary Organization, then Deals linked to Organization and Person, then Leads, then Activities associated to their parent records. Owner IDs are resolved by email match against Pipedrive users — any unmatched owners are flagged and assigned to a designated fallback user before their records write. During the cutover window, a delta-pickup pass (24–48 hours) captures any new leads, updated deals, or new activities created in LeadSimple while the migration was running. The delta pass is merged into Pipedrive before go-live.
Audit log, reconciliation report, and rollback plan
FlitStack generates a post-migration audit log listing every record written to Pipedrive, the source LeadSimple ID, the timestamp, and the owner. A reconciliation report compares record counts per object type between LeadSimple and Pipedrive, flagging any discrepancy above the defined tolerance threshold (typically 0.5%). If reconciliation fails — meaning Pipedrive record counts diverge materially from LeadSimple source counts — the one-click rollback reverts all migration writes and the process can be re-run with corrected mapping. The process audit document (process tree from Step 1) is delivered alongside the migration report so your Pipedrive admin can begin the workflow rebuild phase.
Platform deep dives
LeadSimple
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 1 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across LeadSimple and Pipedrive.
Object compatibility
1 of 8 objects need a manual workaround.
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
LeadSimple: Not publicly documented.
Data volume sensitivity
LeadSimple 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 LeadSimple to Pipedrive migration scoping. Not seeing yours? Book a call.
Walk through your LeadSimple to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave LeadSimple
Other ways to arrive at Pipedrive
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.