CRM migration
Field-level mapping, validation, and rollback between Flowlu and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Flowlu
Source
Freshsales
Destination
Compatibility
8 of 9
objects map 1:1 between Flowlu and Freshsales.
Complexity
CModerate
Timeline
3-5 weeks
Overview
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.
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 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
Freshsales
Contact
1:1Flowlu 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
Freshsales
Account
1:1Flowlu 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
Freshsales
Deal
1:1Flowlu 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
Freshsales
Deal Pipeline
1:1Flowlu 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
Freshsales
Deal Stages
1:1Individual 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
Freshsales
Custom Fields
lossyFlowlu 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
Freshsales
User
1:1Flowlu 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
Freshsales
Task (approximation)
1:1Flowlu 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
Freshsales
Account or Deal (notes only)
1:1Flowlu 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.
| Flowlu | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Opportunity | Deal1:1 | Fully supported | |
| Pipeline | Deal Pipeline1:1 | Fully supported | |
| Pipeline Stages | Deal Stages1:1 | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| User | User1:1 | Fully supported | |
| Time Entries | Task (approximation)1:1 | Fully supported | |
| Projects | Account or Deal (notes only)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.
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
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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.
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.
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
Flowlu
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 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 Freshsales.
Object compatibility
4 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 Freshsales migration scoping. Not seeing yours? Book a call.
Walk through your Flowlu to Freshsales migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Flowlu
Other ways to arrive at Freshsales
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.