CRM migration
Field-level mapping, validation, and rollback between Flowlu and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Flowlu
Source
Pipedrive
Destination
Compatibility
5 of 12
objects map 1:1 between Flowlu and Pipedrive.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Flowlu to Pipedrive is a scope reduction as much as a platform switch. Flowlu bundles CRM, project management, invoicing, and a knowledge base in a single platform; Pipedrive is a focused sales CRM with 300+ native integrations. We migrate the CRM layer (Contacts, Companies, Opportunities/Deals, Pipeline Stages, Custom Fields, and Time Entries) using Pipedrive's REST API v2 with strict type validation and exponential backoff. Flowlu's Projects, Tasks, Knowledge Base articles, and Invoices have no native Pipedrive equivalent and are excluded from the data migration scope; we deliver a written inventory of these objects for the customer's admin to handle manually or through a project management migration service. Flowlu's automations and workflow rules are documented during extraction and delivered as a rebuild checklist for Pipedrive's Automation Builder or a third-party workflow tool.
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 Flowlu 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.
Flowlu
Contact
Pipedrive
Person
1:1Flowlu Contacts map to Pipedrive Persons using email as the dedupe key. First name, last name, phone, company association, lifecycle stage, and custom properties migrate directly. Pipedrive Persons do not have a native lifecycle stage property, so Flowlu lifecycle stage values migrate to a custom Person field for reporting. Duplicate resolution uses email as the primary key with an optional secondary check on phone number.
Flowlu
Company
Pipedrive
Organization
1:1Flowlu Companies map to Pipedrive Organizations. Company name, industry, website, address, and custom fields migrate. The relationship between Flowlu Contact and Company (stored as a linked record) is preserved in Pipedrive by resolving the Organization UUID at Person import time and setting the org_id field on each Person record.
Flowlu
Opportunity
Pipedrive
Deal
1:1Flowlu Opportunities map to Pipedrive Deals. Stage, amount, probability, expected close date, owner, and custom fields transfer directly. Flowlu's pipeline assignment resolves to a Pipedrive Pipeline ID during import. Deals without a linked Company in Flowlu are imported as unlinked Deals in Pipedrive with a custom note field recording the original Flowlu company reference for manual linking post-migration.
Flowlu
Pipeline
Pipedrive
Pipeline
1:1Flowlu Pipelines map to Pipedrive Pipelines. The pipeline name, display order, and active/archived status transfer. Pipedrive allows multiple pipelines from the Essential tier onward, matching Flowlu's multi-pipeline capability on paid plans. We preserve pipeline-level settings that affect deal visibility and reporting.
Flowlu
Pipeline Stage
Pipedrive
Stage
lossyFlowlu Pipeline Stages map to Pipedrive Stages within their parent Pipeline. Stage display name, order, and probability percentage transfer. Flowlu stages without a probability value receive a default probability that we set based on the stage's position in the pipeline. Probability values are stored as integers in Pipedrive API v2, requiring rounding of Flowlu decimal values.
Flowlu
Custom Field
Pipedrive
Custom Field
lossyFlowlu Custom Fields on Contacts, Companies, Opportunities, and Projects map to Pipedrive Custom Fields on Persons, Organizations, and Deals respectively. We extract the complete Flowlu custom field schema per object during scoping, then pre-create Pipedrive custom fields of matching types (text, number, date, dropdown, checkbox, phone, email) before data import begins. Flowlu list-type fields map to Pipedrive dropdown fields; Flowlu multi-select lists require a custom text field or separate configuration depending on Pipedrive plan support.
Flowlu
User
Pipedrive
User
1:1Flowlu Users map to Pipedrive Users by email match. We extract role information from Flowlu (Admin, Manager, Member) and preserve it in a custom Pipedrive field for the customer's admin to map to Pipedrive role assignments. Active Pipedrive Users must exist before Deal and Person import so that owner_id references are valid. Users in Flowlu without corresponding Pipedrive accounts enter a reconciliation queue.
Flowlu
Time Entry
Pipedrive
Activity (Note)
1:manyFlowlu Time Entries (hours logged against Tasks or Projects) have no native Pipedrive equivalent. We map billable Time Entries to Pipedrive Note records linked to the related Deal using the Deal UUID. Each Note records the date, duration, user, task description, and billable flag as plain text in the Note body. Non-billable Time Entries are excluded unless the customer requests they be preserved as Activity records. Projects and Tasks that Time Entries reference are flagged as unmapped scope in the handoff document.
Flowlu
Invoice
Pipedrive
Not migrated (documented)
lossyFlowlu Invoices (line items, tax rates, payment status, issuer details) have no Pipedrive equivalent. We extract invoice metadata as a CSV export with Deal references and deliver it to the customer for import into their accounting tool (QuickBooks, Xero, or Stripe) or manual Pipedrive entry. Invoice PDF files are exported as file attachments and linked to the corresponding Deal records via a custom field. Historical payment status is preserved in a Pipedrive custom field for deal closure reference.
Flowlu
Knowledge Base Article
Pipedrive
Not migrated (documented)
lossyFlowlu Knowledge Base articles have no Pipedrive equivalent. We extract article titles, body content, and category assignments as a structured export. The customer receives a Markdown-formatted archive of all articles organized by Knowledge Base section. Article-to-record linkage (e.g., articles linked to specific Projects or Companies) is preserved in the export as a reference field, allowing the customer to re-associate content manually in a wiki or knowledge base tool post-migration.
Flowlu
Project
Pipedrive
Not migrated (documented)
lossyFlowlu Projects and their nested Tasks, Milestones, and Agile boards have no Pipedrive equivalent. We extract project card data (name, stage, deadline, owner, budget, custom fields) as a structured export. Task data is extracted with parent-project references preserved. The customer receives a project inventory document with task counts, assignee assignments, and milestone dates for manual import into a project management tool (Asana, Monday.com, ClickUp) or for use as a rebuild reference in Pipedrive Activities.
Flowlu
Workflow / Automation
Pipedrive
Automation Builder (documented)
lossyFlowlu Workflows operate across Projects, Tasks, and CRM objects and do not carry over to Pipedrive's Automation Builder, which uses a different trigger-condition-action model. We document every active Flowlu workflow with its trigger type, conditions, and actions as a written handoff for the customer's admin to rebuild in Pipedrive or a third-party automation tool. This documentation includes workflow name, object scope, trigger events, condition branches, and recommended Pipedrive Automation Builder equivalent steps.
| Flowlu | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Opportunity | Deal1:1 | Fully supported | |
| Pipeline | Pipeline1:1 | Fully supported | |
| Pipeline Stage | Stagelossy | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Time Entry | Activity (Note)1:many | Fully supported | |
| Invoice | Not migrated (documented)lossy | Fully supported | |
| Knowledge Base Article | Not migrated (documented)lossy | Fully supported | |
| Project | Not migrated (documented)lossy | Fully supported | |
| Workflow / Automation | Automation Builder (documented)lossy | 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.
Flowlu gotchas
Free tier contact cap is a hard migration target
Automations and integrations must be rebuilt after migration
No refunds on paid subscriptions after billing period starts
Custom Fields on multiple object types require field-level mapping
API rate limits are not publicly documented
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
Discovery and data audit
We audit the source Flowlu account across all modules: Contact count, Company count, Opportunity count, pipeline count and stage definitions, Custom Field schema per object, active workflow count, User count, Time Entry volume, and Invoice count. We check the current Flowlu plan tier to confirm contact limits and feature availability. The output is a written migration scope document that specifies which objects migrate as live data, which export as structured files, and which require manual rebuild planning.
Pipedrive account provisioning and custom field pre-creation
We provision or review the destination Pipedrive account and confirm the plan tier (Essential minimum for CRM migration). We pre-create all required Pipedrive Custom Fields with correct types (matching Flowlu's field types to Pipedrive's supported field types) before any data import begins. We configure Pipelines and Stages to match the Flowlu source pipeline structure, preserving stage order and probability values. Pipedrive's strict API v2 validation requires custom fields to exist before their values can be written via API.
Data extraction and transformation from Flowlu
We extract data from Flowlu using the REST API, with exponential backoff handling for undocumented rate limits. The extraction follows dependency order: Users first, then Organizations (from Companies), then Persons (from Contacts with org_id resolved), then Deals (from Opportunities with org_id and owner_id resolved), then Activities and Notes. Time Entries, Invoices, and Knowledge Base articles export to structured CSV files alongside the live API migration. All timestamps convert from Flowlu format to RFC 3339 for Pipedrive API v2 compatibility.
Owner and relationship reconciliation
We extract every distinct Flowlu owner referenced on Contacts, Companies, Opportunities, and Time Entries and match by email against the destination Pipedrive User table. Owners without a matching Pipedrive User enter a reconciliation queue for the customer's admin to provision before record import resumes. We resolve Organization IDs at Person import time so that each Person record in Pipedrive is linked to its correct Organization, preserving the Flowlu Contact-to-Company relationship. Deals without a Company in Flowlu are flagged for manual linking post-migration.
Staged import into Pipedrive with reconciliation
We run production import in dependency order using Pipedrive's REST API v2 with batch chunking and exponential backoff on rate limit responses. Each phase (Users, Organizations, Persons, Deals, Activities) emits a row-count reconciliation report comparing source record count to destination record count. Custom field values write after base object import completes. We validate that probability percentages are integers, dates are RFC 3339, and boolean fields are true/false before sending to Pipedrive. Any records rejected by Pipedrive's strict v2 validation are logged with error messages and retried after type correction.
Cutover, handoff documentation, and automation rebuild checklist
We freeze Flowlu writes during cutover, run a final delta migration of any records created or modified since the last extraction, then mark Pipedrive as the system of record. We deliver the migration handoff package: row-count reconciliation report, excluded-object exports (Projects, Tasks, Invoices, Knowledge Base), workflow rebuild checklist for Pipedrive Automation Builder, and owner reconciliation log. We do not rebuild Flowlu automations as Pipedrive automations inside migration scope. We support a one-week hypercare window for reconciliation issues.
Platform deep dives
Flowlu
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 5 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Flowlu and Pipedrive.
Object compatibility
5 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
Flowlu: Not publicly documented.
Data volume sensitivity
Flowlu 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 Flowlu to Pipedrive migration scoping. Not seeing yours? Book a call.
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