CRM migration
Field-level mapping, validation, and rollback between Lofty and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Lofty
Source
Pipedrive
Destination
Compatibility
10 of 10
objects map 1:1 between Lofty and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
Lofty organizes data around Leads, People, Companies, Deals, and Activities within a real-estate-specific product model. Pipedrive mirrors much of this structure — Person maps to Lofty People, Organization maps to Lofty Companies, and Deal maps to Lofty Deals — but uses a different pipeline-and-stage mechanism where every deal belongs to a named pipeline with ordered stages. Lofty's custom field system (up to 350 fields across Text, Date, Number, Percentage, Currency, Single-Select, and Multi-Select types, with Starter plans capped at 10 per type) transfers into Pipedrive custom fields on the equivalent object. Pipedrive's leads section is optional and separate from persons; the migration plan must decide whether all Lofty people land directly as Pipedrive persons or whether unqualified records route into the Leads inbox first. FlitStack AI sequences the migration as Organizations first (to resolve foreign keys), then Persons with owner resolution by email match, then Deals with pipeline and stage mapping, then Activities last. Workflows, automations, and sequences do not migrate — FlitStack exports Lofty automation definitions as a structured reference document your Pipedrive admin uses to rebuild in Pipedrive's Automation and Sequences tools. All data moves via Pipedrive's REST API with field-level validation against a pre-approved mapping document.
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 Lofty 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.
Lofty
Person
Pipedrive
Person
1:1Lofty People map 1:1 to Pipedrive Persons. Every field on the Lofty person record — name, email, phone, address, and all custom properties — transfers to the equivalent Pipedrive Person field. Owner is resolved by email match against Pipedrive users. Unmatched owners are flagged before migration commits so your admin can assign a fallback owner.
Lofty
Company
Pipedrive
Organization
1:1Lofty Companies map to Pipedrive Organizations. The name, domain/website, industry, employee count, annual revenue, and address fields transfer directly. Lofty parent-company hierarchies (if used) require manual reconstruction in Pipedrive since Organizations do not have a native parent-Organization field — FlitStack surfaces the hierarchy as a custom Organization field for admin reference.
Lofty
Deal
Pipedrive
Deal
1:1Lofty Deals map to Pipedrive Deals — title, value, close date, owner, and custom fields transfer. The critical dependency is that the target Pipedrive Pipeline and its Stages must exist before Deals land, because each Pipedrive Deal is pinned to a specific Pipeline ID and Stage ID at creation time. FlitStack delivers a Pipeline setup specification as part of the migration plan.
Lofty
Pipeline
Pipedrive
Pipeline
1:1Lofty Pipelines transfer as Pipedrive Pipelines with one key difference: each Pipedrive Pipeline has an ordered list of Stages that define deal flow. FlitStack maps each Lofty pipeline stage name to a corresponding Pipedrive stage within the target pipeline, preserving the stage order and probability values. Stage names are matched value-by-value from the Lofty stage list.
Lofty
Pipeline Stage
Pipedrive
Stage
1:1Lofty stage names (e.g., New Lead, Showing Scheduled, Under Contract, Closed Won, Closed Lost) map value-by-value to Pipedrive stage names within the target pipeline. Probability percentages attached to each Lofty stage transfer to the Pipedrive stage probability field. If a Lofty stage has no Pipedrive counterpart, FlitStack flags it for admin decision before migration runs.
Lofty
Activity (Call / Email / Meeting)
Pipedrive
Activity
1:1Lofty engagement records (calls, emails, meetings, notes) transfer as Pipedrive Activities. Each activity is linked to its parent record — a Person, Organization, or Deal — using Pipedrive's relationship API. Original timestamps, activity type, duration, and subject line are preserved. Activity owners are resolved by email match against Pipedrive users the same way person owners are.
Lofty
Custom Field (all types)
Pipedrive
Custom Field
1:1Every Lofty custom field — Text, Date, Number, Percentage, Currency, Single-Select, Multi-Select — requires a corresponding custom field to be created in Pipedrive before migration. Pipedrive generates a 40-character hash key for each custom field; FlitStack records this key in the mapping document and uses it in the API calls during migration. Single-Select and Multi-Select options must exactly match Lofty's option labels or the import will fail on those records.
Lofty
User / Owner
Pipedrive
User
1:1Lofty owner assignments on Person, Company, and Deal records are resolved by matching the owner's email address against Pipedrive user accounts. If a Lofty owner has no Pipedrive user account, FlitStack assigns the record to the migration-initiating Pipedrive user and logs the unmapped owner in a pre-migration report for your admin to reassign manually after go-live.
Lofty
Attachment / File
Pipedrive
File
1:1Lofty file attachments on People, Companies, and Deals are downloaded and re-uploaded to Pipedrive's file storage linked to the corresponding record. Pipedrive's default file size limit is 25MB per file. Files exceeding this limit are flagged in the migration report and can be migrated via a separate bulk-upload step if needed.
Lofty
Lead
Pipedrive
Lead (optional)
1:1Lofty does not have a separate Lead concept — all contacts exist as People. Pipedrive has an optional Leads inbox for unconverted contacts. FlitStack's default mapping routes all Lofty People directly to Pipedrive Persons. If your team uses Pipedrive's Leads feature, FlitStack can apply a routing rule (e.g., based on a Lofty custom field or source tag) to split records between the Leads inbox and Person records — this is configured before migration runs.
| Lofty | Pipedrive | Compatibility | |
|---|---|---|---|
| Person | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Pipeline1:1 | Fully supported | |
| Pipeline Stage | Stage1:1 | Fully supported | |
| Activity (Call / Email / Meeting) | Activity1:1 | Fully supported | |
| Custom Field (all types) | Custom Field1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Attachment / File | File1:1 | Fully supported | |
| Lead | Lead (optional)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.
Lofty gotchas
API date-range queries capped at 90 days
64-bit integer IDs risk JavaScript precision loss
Starter tier custom field cap breaks complex schemas
Data export requires $500 fee unless handled during subscription
Documentation site migration disrupts integration references
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
Audit Lofty data model and Pipedrive destination setup
FlitStack AI exports a full inventory of your Lofty data — People, Companies, Deals, Activities, and all custom fields with their types and option lists. In parallel, we deliver a Pipedrive destination setup specification: which Pipelines to create, which Stages each pipeline needs, and a list of custom fields to pre-create in Pipedrive with their target field types. Your Pipedrive admin creates the Pipelines and custom fields; FlitStack validates that all stage_id and custom field hash references resolve correctly before the first data load.
Resolve owners and users by email match
Lofty owner IDs on People, Companies, and Deals are resolved by matching each owner's email address against Pipedrive user accounts. FlitStack generates a pre-migration owner report listing every Lofty owner and whether a matching Pipedrive user exists. For any Lofty owner without a Pipedrive account, your admin either creates the Pipedrive user before migration or assigns a fallback owner — no record lands without a valid Pipedrive owner_id.
Run a sample migration with field-level diff
A representative slice of data — typically 100–500 records spanning People, Organizations, Deals, and Activities — migrates first. FlitStack generates a field-level diff comparing source values against destination values so you can verify that Lofty stage names resolved to correct Pipedrive stage_id values, custom field values landed in the right Pipedrive custom fields, and owner assignments are correct. Issues caught in the sample are fixed in the mapping plan before the full run.
Execute full migration with delta-pickup window
The full data load runs — Organizations first (so foreign keys resolve for linked People), then People, then Deals, then Activities last. A delta-pickup window of 24–48 hours runs concurrently: any records created or modified in Lofty during the migration window are captured and applied to Pipedrive after the main load completes. This ensures Pipedrive reflects Lofty's final state at go-live. Audit logs capture every operation; one-click rollback is available if reconciliation reveals unexpected discrepancies.
Post-migration reconciliation and handover
FlitStack generates a reconciliation report comparing record counts, field completeness, and owner coverage between Lofty and Pipedrive. Any records that failed to migrate are listed with error reasons. Custom field hash validation confirms all Pipedrive fields received data. FlitStack hands over the Lofty automation export document — your Pipedrive admin rebuilds Lofty workflows as Pipedrive Automations and Sequences using this reference.
Platform deep dives
Lofty
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 Lofty 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
Lofty: Not publicly documented on developer.lofty.com — we implement exponential backoff and respect 429 responses as rate limit signals.
Data volume sensitivity
Lofty 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 Lofty to Pipedrive migration scoping. Not seeing yours? Book a call.
Walk through your Lofty 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 Lofty
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.