CRM migration

Migrate from Lofty to Pipedrive

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

Lofty logo

Lofty

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

10 of 10

objects map 1:1 between Lofty and Pipedrive.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Lofty logo

Lofty

What's pushing teams away

  • Poor customer support with significant delays and unhelpful responses during critical issues drives frustration and churn.
  • Steep learning curve overwhelms new users — the extensive functionality requires formal training before teams feel productive.
  • Inconsistent AI performance and slow platform speed frustrate users who rely on automation for lead follow-up.
  • Missing features like WordPress CMS integration and inadequate AI capabilities prompt teams to seek alternatives.
  • Some users report reliability concerns, with one stating 'everything is broken' and questioning ongoing development.

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 Lofty objects map to Pipedrive

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

maps to

Pipedrive

Person

1:1
Fully supported

Lofty 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

maps to

Pipedrive

Organization

1:1
Fully supported

Lofty 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

maps to

Pipedrive

Deal

1:1
Fully supported

Lofty 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

maps to

Pipedrive

Pipeline

1:1
Fully supported

Lofty 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

maps to

Pipedrive

Stage

1:1
Fully supported

Lofty 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)

maps to

Pipedrive

Activity

1:1
Fully supported

Lofty 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)

maps to

Pipedrive

Custom Field

1:1
Fully supported

Every 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

maps to

Pipedrive

User

1:1
Fully supported

Lofty 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

maps to

Pipedrive

File

1:1
Fully supported

Lofty 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

maps to

Pipedrive

Lead (optional)

1:1
Fully supported

Lofty 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.

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.

Lofty logo

Lofty gotchas

High

API date-range queries capped at 90 days

Medium

64-bit integer IDs risk JavaScript precision loss

Medium

Starter tier custom field cap breaks complex schemas

High

Data export requires $500 fee unless handled during subscription

Low

Documentation site migration disrupts integration references

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 pipelines and stages must exist before Deals can be created

    Pipedrive requires that a Pipeline and its Stages are created in the account before any Deal can be assigned to them. When migrating from Lofty, each Lofty pipeline maps to a Pipedrive Pipeline, and every Lofty stage within that pipeline must have a matching Pipedrive Stage with a known stage_id. If Pipedrive pipelines are missing or stages are misnamed, Deal imports will fail or land in an 'unassigned' state. FlitStack delivers a Pipedrive Pipeline setup specification as part of the migration plan — your admin creates the Pipedrive side first, then the migration validation step confirms all stage_id references resolve before the full load runs.

  • Lofty custom field limits differ by tier and type

    Lofty Starter accounts are limited to 10 custom fields per type (Text, Date, Number, Percentage, Currency, Single-Select, Multi-Select). Agent, Team, Broker, and Enterprise accounts allow 50 per type. If you are on a Starter plan and have been using more than 10 fields of any single type, those fields cannot be exported through Lofty's standard export mechanism — they exist in the UI but are capped at the Starter threshold. FlitStack audits your Lofty custom field count during discovery and flags any fields that exceed the Starter tier cap so your admin can decide whether to trim fields before migration or upgrade the Lofty plan.

  • Pipedrive custom fields use system-generated hash keys

    Pipedrive does not use human-readable custom field names as keys in its API — it assigns a 40-character hash string (e.g., a1b2c3d4e5f6...) when a custom field is created. This hash must be captured and used in all subsequent API calls that write or update that field. If your Pipedrive admin creates a custom field during setup but does not record the hash, FlitStack cannot write to it. The migration plan documents every Pipedrive custom field alongside its hash key at creation time, and the migration script uses these hashes exclusively rather than field labels.

  • Lofty Single-Select and Multi-Select options must match Pipedrive enum values exactly

    Lofty Single-Select and Multi-Select custom fields store a defined set of option labels. When these map to Pipedrive custom fields of the same type, the option labels in Pipedrive must match Lofty's labels character-for-character. If Pipedrive's enum has 'New Lead' but Lofty uses 'New Lead ' (trailing space), Pipedrive rejects the import for that field on that record. FlitStack generates a value-mapping table for all pick-list fields during discovery, shows any mismatches to your admin, and either normalizes values during migration or creates the exact options in Pipedrive before data lands.

  • Pipedrive Leads section is optional and separate from Persons

    Pipedrive's Leads feature is an optional inbox for unconverted contacts — Leads and Persons are separate objects with different API endpoints. Lofty has no equivalent distinction; all contacts are People. By default, FlitStack routes all Lofty People directly to Pipedrive Persons, bypassing the Leads inbox. If your team uses Pipedrive's Leads feature for intake routing, you need a routing rule — for example, contacts with a specific Lofty source tag or without a linked Deal route to the Pipedrive Leads endpoint, and everything else lands as a Person. This decision must be made before migration because it changes the API endpoint used for each record.

Migration approach

Six steps for a successful Lofty to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Lofty logo

Lofty

Source

Strengths

  • All-in-one real estate CRM combines lead gen, property tracking, landing pages, and AI tools.
  • Agent plan at $449/month is competitive for bundled functionality versus buying separate tools.
  • Enterprise tier offers custom branding, enhanced reporting, and flexible org structures for brokerages.
  • Positive reviews cite property auto-updates and seamless integrations saving agent time.
  • Supports OAuth 2.0 and API Key authentication for flexible third-party integrations.

Weaknesses

  • Steep learning curve requires formal training investment before teams become productive.
  • Customer support receives consistent negative reviews for responsiveness during critical issues.
  • Starter tier limited to 10 custom fields per type — insufficient for complex data models.
  • AI features described as inconsistent and slow in G2 reviews, affecting automation reliability.
  • Documentation site migration (moving to developer.lofty.com after August 2026) may disrupt integrations mid-migration.
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 Lofty 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

    Lofty: Not publicly documented on developer.lofty.com — we implement exponential backoff and respect 429 responses as rate limit signals.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Lofty 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 Lofty to Pipedrive data migrations

Answers to the questions buyers ask most during Lofty 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 Lofty-to-Pipedrive migrations complete within 48–72 hours for under 50,000 total records. The longest planning step is Pipedrive Pipeline and Stage setup — your admin must create these before data lands, and FlitStack delivers that specification during discovery. Larger migrations with 500,000+ records or complex multi-pipeline configurations extend to 5–7 days. The delta-pickup window (24–48 hours) runs after the main load and adds a day to the overall timeline but ensures no in-flight changes are lost at cutover.

Adjacent paths

Related migrations to explore

Ready when you are

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