CRM migration

Migrate from Flowlu to Freshsales

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

Flowlu logo

Flowlu

Source

Freshsales

Destination

Freshsales logo

Compatibility

89%

8 of 9

objects map 1:1 between Flowlu and Freshsales.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Flowlu to Freshsales is a migration from an all-in-one workspace to a focused sales CRM. Flowlu bundles CRM, project management, invoicing, and knowledge base into one platform; Freshsales is purpose-built for sales pipeline management with built-in email, phone, chat, and Freddy AI. The key structural difference is that Flowlu's Opportunities and Pipelines map to Freshsales Deals and Deal Pipelines, while Flowlu's Projects, Tasks, Invoices, Knowledge Base articles, and Time Entries have no Freshsales equivalent and are excluded from migration scope. We extract Contacts and Companies with their Custom Field values, map Pipeline Stages to Freshsales stage names, and preserve deal amounts, probabilities, and expected close dates. Freshsales has no native project management or financial tracking modules, so teams relying on Flowlu for project tracking or invoicing must adopt Freshsales alongside a separate project management or accounting tool post-migration.

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

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Flowlu objects map to Freshsales

Each row shows how a Flowlu object lands in Freshsales, 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

Freshsales

Contact

1:1
Fully supported

Flowlu Contacts map directly to Freshsales Contacts. We map name, email (primary dedupe key), phone, company association, lifecycle stage, and custom field values. Freshsales resolves the company reference via the Account lookup. Email serves as the unique identifier for dedupe, matching Flowlu's contact email field to Freshsales's email field. Any Flowlu lifecycle stage values are preserved in a custom text field for reporting continuity.

Flowlu

Company

maps to

Freshsales

Account

1:1
Fully supported

Flowlu Companies map to Freshsales Accounts. We map company name, industry, website, address, and custom fields. The relationship between Flowlu Contact and Company is preserved in Freshsales by setting the Contact's Account lookup at import time. Account is created before Contact import so the AccountId reference is satisfied.

Flowlu

Opportunity

maps to

Freshsales

Deal

1:1
Fully supported

Flowlu Opportunities inside Pipelines map to Freshsales Deals. Stage, amount, probability, expected close date, and owner assignment transfer directly. Flowlu's deal-level custom fields map to Freshsales custom Deal fields. We resolve the Pipeline-to-Deal Pipeline reference and stage name matching before import.

Flowlu

Pipeline

maps to

Freshsales

Deal Pipeline

1:1
Fully supported

Flowlu Pipelines map to Freshsales Deal Pipelines. Pipeline name, stage order, stage names, and stage-specific probability percentages migrate to Freshsales pipeline configuration. Active deals inherit their pipeline assignment at migration time so placement in Freshsales reflects the original Flowlu state.

Flowlu

Pipeline Stages

maps to

Freshsales

Deal Stages

1:1
Fully supported

Individual stages within each Flowlu Pipeline map to Freshsales deal stages. Stage display order and probability percentages transfer. Freshsales requires the parent Pipeline to exist before stage import; we configure the pipeline first, then stage values, then deal migration in dependency order.

Flowlu

Custom Fields

maps to

Freshsales

Custom Fields

lossy
Mapping required

Flowlu Custom Fields attach to Contacts, Companies, and Opportunities. We extract the complete custom field schema per object type during scoping, map each to a typed Freshsales custom field (text, number, date, list, checkbox), and flag mismatches where a Flowlu multi-select list maps to a Freshsales single-select or free-text field. Field display labels are preserved for admin recognition.

Flowlu

User

maps to

Freshsales

User

1:1
Fully supported

Flowlu Users map to Freshsales Users by email match. We extract user name, email, role (Admin, Manager, Member), and team membership. Owner assignment on Flowlu Deals and Contacts resolves to Freshsales OwnerId via the email match. Any Flowlu user without a matching Freshsales User account goes to a reconciliation queue for admin provisioning before record import.

Flowlu

Time Entries

maps to

Freshsales

Task (approximation)

1:1
Fully supported

Flowlu Time Entries record hours logged against Tasks or Projects with user assignment, date, duration, and billable flag. Freshsales has no native time tracking object. We map billable time entries to Freshsales Tasks with a custom field for duration and a note in the Task description referencing the original Flowlu time entry. Non-billable entries are excluded unless specifically requested. This is an approximation that preserves the record existence but not the native time tracking experience.

Flowlu

Projects

maps to

Freshsales

Account or Deal (notes only)

1:1
Fully supported

Flowlu Projects serve as top-level work containers with tasks, milestones, expenses, and invoices. Freshsales has no project management module. We create a descriptive Account note or Deal note capturing the project name, deadline, and project manager for audit continuity, but the full project hierarchy (tasks, milestones, dependencies) does not migrate. Customers requiring project management post-migration should evaluate Freshsales alongside a dedicated project tool.

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

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • Flowlu automations do not migrate to Freshsales workflows

    Flowlu's automation builder operates across Projects, Tasks, and CRM objects with triggers, conditions, and CRM actions. Freshsales workflows are scoped to Deals and Contacts with different trigger models and action types. We do not migrate automations as code. We extract every active Flowlu automation during scoping and deliver a written rebuild checklist mapping each Flowlu trigger to its Freshsales workflow equivalent. The customer's admin rebuilds them post-migration. This gap surprises teams that assume their workflow logic will transfer with the data.

  • Flowlu's project and invoice data has no Freshsales home

    Flowlu's Projects, Tasks, Agile issues, Invoices, and Knowledge Base articles have no Freshsales equivalents. Freshsales is a sales CRM without project management, expense tracking, invoicing, or document storage modules. We exclude these objects from migration scope and flag them during scoping. Customers relying on Flowlu for project delivery tracking, project-level financial visibility, or customer-facing knowledge bases must adopt a separate tool for those functions post-migration. This is a common point of confusion for Flowlu users evaluating Freshsales as a replacement.

  • Flowlu Custom Fields on multiple object types require field-level review

    Flowlu allows Custom Fields on Projects, Tasks, Opportunities, Contacts, Companies, Knowledge Base items, and Agile issues, with each object capable of having a different set of field types. Freshsales supports custom fields on Contacts, Accounts, and Deals with a defined set of types. We extract the complete custom field schema per Flowlu object during scoping, map each to a typed Freshsales field, and flag cases where a Flowlu multi-option list, user-reference field, or file attachment field has no Freshsales equivalent. This review happens before import to prevent silent data loss.

  • Freshsales Lead model differs from Flowlu's Contact-only approach

    Flowlu has no separate Lead object; all prospects are Contacts. Freshsales has a Lead module for unqualified prospects that converts to Contact and Account upon qualification. We map all Flowlu Contacts to Freshsales Contacts without the Lead layer (treating all Flowlu records as already-qualified contacts), which is the standard approach when the source system has no Lead concept. If the customer wants to use Freshsales Leads, we apply a lifecycle-stage filter during import to split some records into Lead and the rest into Contact.

  • Flowlu API rate limits are not publicly documented

    Flowlu does not publish API rate limit thresholds in its public documentation. When extracting data via the Flowlu API for migration, we implement exponential backoff and monitor for 429 responses. For large data volumes, this can extend extraction timelines unpredictably. We recommend requesting a data export via CSV as a parallel extraction path when record counts exceed 10,000 to avoid API-based timeline uncertainty.

Migration approach

Six steps for a successful Flowlu to Freshsales data migration

  1. Discovery and scoping

    We audit the Flowlu account across plan tier (Free, Essential, Advanced, Ultimate), pipeline count, opportunity count, contact and company volumes, custom field schemas per object, active automation count, and time entry volume. We cross-reference with the target Freshsales plan recommendation (Growth at $9/user for most teams, Pro at $39/user if custom fields or advanced reporting is required, Enterprise at $59/user for Freddy AI and territory management). The discovery output is a written migration scope with record counts per object and a custom field inventory.

  2. Custom field schema extraction and type mapping

    We extract the complete custom field schema from Flowlu: for each object (Contact, Company, Opportunity), we capture field label, API name, field type (text, number, date, list, checkbox, user reference), required flag, and any conditional visibility rules. We map each to the equivalent Freshsales field type, flagging Flowlu field types with no Freshsales equivalent for manual review. This schema is reviewed by the customer before any data extraction begins.

  3. Pipeline and stage configuration in Freshsales

    We configure Freshsales Deal Pipelines and stages before record import. Each Flowlu Pipeline becomes a Freshsales Deal Pipeline with stage names, order, and probability percentages replicated. Stage probability values are rounded to the nearest integer percentage Freshsales accepts. The pipeline configuration is validated in Freshsales sandbox before the production migration begins.

  4. Test migration and reconciliation

    We run a full test migration into a Freshsales trial or sandbox environment with production-like data volume. The customer reconciles record counts (Contacts in, Accounts in, Deals in), spot-checks 25 random records against Flowlu source data, and validates that custom field values populated correctly. Any mapping corrections (field type mismatches, pipeline assignment errors, owner resolution gaps) are fixed in the test migration before production migration begins.

  5. Owner reconciliation and User provisioning

    We extract every distinct Flowlu Owner referenced on Opportunity, Contact, and Company records and match by email against the Freshsales User table. Any Flowlu Owner without a matching Freshsales User account goes to a reconciliation queue for the customer's admin to provision. OwnerId resolution is required before Opportunity import because Deals require an OwnerId on insert.

  6. Production migration in dependency order

    We run production migration in dependency order: Accounts (from Flowlu Companies), Contacts (with AccountId resolved), Deal Pipelines and Stages (configured in Freshsales), Deals (with Pipeline, stage, and OwnerId resolved), custom field data populated against the pre-created schema, and time entries approximated as Tasks where requested. Each phase emits a row-count reconciliation report before the next phase begins. Flowlu Projects, Invoices, Knowledge Base, and Agile data are excluded and noted in the scope document.

  7. Cutover, validation, and automation rebuild handoff

    We freeze Flowlu writes during cutover, run a final delta migration of any records modified during the migration window, then enable Freshsales as the system of record. We deliver the automation rebuild checklist documenting every Flowlu workflow with its trigger, conditions, and actions mapped to Freshsales workflow equivalents. We support a one-week hypercare window for reconciliation issues raised by the sales team. Workflow rebuild, Freshsales training, and ongoing admin configuration are outside standard migration scope and are separate engagements.

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.
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Moderate CRM migration. 4 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 Freshsales.

  • Object compatibility

    C

    4 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 Freshsales 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 Freshsales data migrations

Answers to the questions buyers ask most during Flowlu to Freshsales 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 and 1,000 Deals with no complex custom field schemas. Migrations with multiple Pipelines, custom fields across Contacts and Deals, or large deal histories move to six to ten weeks because of custom field-type mapping, stage probability calibration, and parent-record resolution work. Projects, Invoices, Knowledge Base, and Agile data do not migrate and are handled as separate scope, which does not add migration time but requires the customer to adopt a separate tool for those functions.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Flowlu.
Land in Freshsales, intact.

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