CRM migration

Migrate from Flowlu to Pipedrive

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

Flowlu logo

Flowlu

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

42%

5 of 12

objects map 1:1 between Flowlu and Pipedrive.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Flowlu logo

Flowlu

What's pushing teams away

  • The September 2025 shift from flat-rate to per-seat pricing caught long-term users off guard, with reviewers noting the cost increase made Flowlu less competitive for larger teams.
  • Steep learning curve and complex interface slow adoption for new team members, with multiple G2 reviewers describing the onboarding as overwhelming compared to simpler tools like ClickUp or Asana.
  • Absence of a native Mac desktop app and no dark mode frustrate users who work primarily on macOS or prefer low-light interfaces, per G2 and Capterra reviews.
  • The Free plan caps contacts at 100 and locks email sync behind paid tiers, leading users to feel the free tier functions as a trial rather than a viable long-term option.
  • Missing native e-signature and contract capabilities force teams to use third-party tools like DocuSign, creating data silos that contradict Flowlu's all-in-one positioning.

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 Flowlu objects map to Pipedrive

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

maps to

Pipedrive

Person

1:1
Fully supported

Flowlu 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

maps to

Pipedrive

Organization

1:1
Fully supported

Flowlu 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

maps to

Pipedrive

Deal

1:1
Fully supported

Flowlu 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

maps to

Pipedrive

Pipeline

1:1
Fully supported

Flowlu 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

maps to

Pipedrive

Stage

lossy
Fully supported

Flowlu 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

maps to

Pipedrive

Custom Field

lossy
Fully supported

Flowlu 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

maps to

Pipedrive

User

1:1
Fully supported

Flowlu 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

maps to

Pipedrive

Activity (Note)

1:many
Fully supported

Flowlu 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

maps to

Pipedrive

Not migrated (documented)

lossy
Fully supported

Flowlu 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

maps to

Pipedrive

Not migrated (documented)

lossy
Fully supported

Flowlu 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

maps to

Pipedrive

Not migrated (documented)

lossy
Fully supported

Flowlu 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

maps to

Pipedrive

Automation Builder (documented)

lossy
Fully supported

Flowlu 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.

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.

Flowlu logo

Flowlu gotchas

High

Free tier contact cap is a hard migration target

High

Automations and integrations must be rebuilt after migration

Medium

No refunds on paid subscriptions after billing period starts

Medium

Custom Fields on multiple object types require field-level mapping

Low

API rate limits are not publicly documented

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

  • Flowlu automations do not migrate to Pipedrive Automation Builder

    Flowlu's workflow automation builder runs across Projects, Tasks, and CRM objects with triggers, conditions, and actions that have no direct equivalent in Pipedrive's Automation Builder. We extract and document every active Flowlu workflow during the scoping phase and deliver a written rebuild checklist with trigger type, conditions, actions, and recommended Pipedrive equivalents. The customer's admin or a Pipedrive partner rebuilds automations post-migration. This gap is one of the most underestimated aspects of a Flowlu exit, per Flowlu's own migration documentation.

  • Flowlu's per-seat pricing shift creates billing overlap during migration

    Flowlu shifted from flat-rate to per-seat pricing in September 2025, catching long-term users off-guard with increased costs for larger teams. Migration timelines that span a Flowlu renewal date require accounting for billing overlap: Flowlu does not issue refunds after a billing period begins, so the customer pays for the full final period even if the team has migrated mid-period. We flag this during scoping and advise on the optimal migration start date to minimize overlap.

  • Custom field type mismatches between Flowlu and Pipedrive API v2

    Flowlu custom fields support text, number, date, list, and checkbox types across multiple object types. Pipedrive API v2 enforces strict type validation: boolean fields require true/false (not 1/0), numeric fields reject string input, and all timestamps use RFC 3339 format. We run a pre-migration type audit of every custom field and apply type coercion during the transform phase. Fields with unsupported Pipedrive types (e.g., multi-checkbox Flowlu lists) are flagged for manual review and either map to a dropdown or migrate as text.

  • Projects, Tasks, and Knowledge Base lack Pipedrive equivalents

    Flowlu's cross-functional data model includes Projects, Tasks, Agile Issues, Invoices, and Knowledge Base articles that have no native Pipedrive counterpart. These objects are outside standard CRM migration scope. We extract structured CSV exports of project cards, tasks, invoices, and knowledge base content, but the customer must plan how to preserve or rebuild this data in a project management tool. Failing to plan for this scope gap before migration begins leads to data loss that is difficult to recover after the Flowlu instance is decommissioned.

  • Flowlu API rate limits are not publicly documented

    Flowlu does not publish API rate limit thresholds in its public documentation. When using the Flowlu API for data extraction, we implement exponential backoff and error handling for 429 responses, monitoring request patterns to adjust cadence dynamically. For large data volumes (over 10,000 records per object), this can extend extraction timelines unpredictably. We mitigate by running extraction in off-peak hours and using batched requests where the API supports them.

Migration approach

Six steps for a successful Flowlu to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Flowlu logo

Flowlu

Source

Strengths

  • Combines CRM, project management, invoicing, and knowledge base in a single platform, eliminating separate tool subscriptions.
  • Per-user pricing at $9 monthly on Essential is competitive for small teams compared to buying separate CRM and PM tools.
  • Workflow automation builder operates across all modules without requiring code or developer resources.
  • Includes native financial tracking with invoices, expense logging, and project-level budget monitoring.
  • Free tier exists with no time limit, allowing teams to use the platform indefinitely for very small-scale operations.

Weaknesses

  • September 2025 shift to per-seat pricing increased costs for teams as user counts grew, angering long-term customers.
  • Interface design is described as old-school with no dark mode, and there is no native macOS desktop application.
  • Free plan limits contacts to 100 and blocks email sync, functioning more as a time-limited trial than a free product.
  • Steep onboarding and learning curve reported by multiple G2 and Capterra reviewers, slowing team adoption.
  • No native e-signature or contract signing feature, requiring third-party integrations that break the all-in-one value proposition.
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?

Moderate CRM migration. 5 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Flowlu and Pipedrive.

  • Object compatibility

    C

    5 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

    Flowlu: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Flowlu 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 Flowlu to Pipedrive data migrations

Answers to the questions buyers ask most during Flowlu to Pipedrive migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 5,000 Contacts, 2,000 Deals, and a straightforward custom field schema. Migrations with large custom field sets across multiple object types, multiple Flowlu pipelines, extensive time entry history, or Projects and Invoices that require parallel project migration move to six to ten weeks. Discovery and scoping typically require one to two weeks; data extraction and transformation two to three weeks; staged import and reconciliation one to two weeks.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Flowlu.
Land in Pipedrive, intact.

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