CRM migration

Migrate from Flowlu to Salesforce Sales Cloud

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

Flowlu logo

Flowlu

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

56%

9 of 16

objects map 1:1 between Flowlu and Salesforce Sales Cloud.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Flowlu to Salesforce is a split migration because Flowlu bundles CRM and project management in one platform while Salesforce separates them. Flowlu's Projects, Tasks, and Agile boards have no native Salesforce equivalent, so we map them to a custom Project__c object with Tasks and use Salesforce native for CRM records. We extract Flowlu's cross-functional custom field schema across every object type before migration, create matching Salesforce custom fields in a Sandbox org, and validate type compatibility before production load. We do not migrate Workflow automations or webhook configurations as code; we deliver a written inventory with a recommended Salesforce Flow rebuild path for your admin. Engagement history, time entries, invoices, and Knowledge Base articles each require separate mapping strategies depending on whether the destination org has the relevant Salesforce feature licensed.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Flowlu objects map to Salesforce Sales Cloud

Each row shows how a Flowlu object lands in Salesforce Sales Cloud, 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

Salesforce Sales Cloud

Contact

1:1
Fully supported

Flowlu Contacts map to Salesforce Contact with a direct field-to-field mapping: name, email, phone, company association, and lifecycle stage. Flowlu's company link resolves to Salesforce AccountId via a lookup by company name or domain during import. We run deduplication on email as the primary key. Custom fields on Contacts are extracted per the Flowlu custom field schema and pre-created as typed Salesforce fields before import. Any Flowlu list or picklist fields map to Salesforce picklist fields with matching values.

Flowlu

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Flowlu Companies map directly to Salesforce Account. Hub name, industry, website, address, and all custom fields migrate 1:1. The Account record must exist before Contact import so that AccountId is available for the Contact-company lookup at insert time. We resolve the lookup by matching company name and domain from Flowlu to Salesforce Account.

Flowlu

Opportunity

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Flowlu Opportunities map to Salesforce Opportunity with stage, amount, probability, expected close date, owner, and all custom fields preserved. Flowlu's pipeline assignment maps to a Salesforce Record Type and Sales Process that we configure before migration. The pipeline stage name in Flowlu maps to the Opportunity StageName value in Salesforce. Custom fields on Opportunities (Flowlu's CRM objects with custom fields) migrate to custom Opportunity fields.

Flowlu

Pipeline

maps to

Salesforce Sales Cloud

Record Type + Sales Process

lossy
Fully supported

Flowlu's CRM pipelines map to Salesforce Opportunity Record Types. Each Record Type gets a corresponding Sales Process that whitelists only the relevant stage values. We create the Record Type and Sales Process in the Sandbox org first, validate with the customer, then deploy to production. Multiple Flowlu pipelines map to multiple Salesforce Record Types so that stage values stay scoped per line of business.

Flowlu

Pipeline Stages

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Individual stages within a Flowlu Pipeline map to Salesforce Opportunity StageName picklist values. Stage display order migrates, and stage-specific probability percentages map to StageProbability on the Sales Process. We round probability values to the nearest integer as Salesforce requires.

Flowlu

Project

maps to

Salesforce Sales Cloud

Project__c (custom object) or Jira / Asana

lossy
Fully supported

Flowlu Projects are a core data type with no native Salesforce equivalent. We map to a custom Project__c object if the customer licenses Salesforce (with Salesforce Projects or a custom object) or recommends a dedicated PM tool. Project card data including stage, deadline, project manager, and budget migrate. We deliver a written decision document during scoping that explains the three paths: custom Project__c object with Salesforce Tasks, migration to Jira or Asana with a link record, or drop. The customer chooses before schema creation begins.

Flowlu

Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Flowlu Tasks map to Salesforce Task with name, description, status, assignee, due date, planned and actual time, and custom field values. If Projects migrate to a custom Project__c object, we preserve the parent-project relationship as a Lookup field on Task (Project__c). Task dependencies are flagged as a custom field dependency_chain__c since Salesforce does not have a native dependency model.

Flowlu

Invoice

maps to

Salesforce Sales Cloud

Invoice (custom object or Order)

1:1
Fully supported

Flowlu Invoices map to Salesforce Invoice if the org has Salesforce Billing enabled, otherwise to a custom Invoice__c object. We map invoice date, due date, line items, totals, payment status, and issuer details. Flowlu invoices may reference closed Projects or tasks; if the Project was not migrated to Salesforce, the WhatId on the invoice is set to the related Account and flagged for manual review. Tax rates and payment terms carry over as custom fields.

Flowlu

Knowledge Base Articles

maps to

Salesforce Sales Cloud

Salesforce Knowledge or custom Knowledge__c

lossy
Mapping required

Flowlu Knowledge Base articles map to Salesforce Knowledge only if the destination org has Service Cloud with Knowledge enabled and the admin has configured Data Categories. Article title, body content, and category assignment migrate. Articles linked to specific Flowlu Knowledge Base sections are flagged for manual relinking because Salesforce Knowledge does not have an equivalent section structure. If Salesforce Knowledge is not available, we map to a custom Knowledge__c object and deliver a data map for the customer to configure Salesforce Knowledge post-migration if they add the license.

Flowlu

Workflow Automations

maps to

Salesforce Sales Cloud

Salesforce Flow (written rebuild checklist)

lossy
Fully supported

Flowlu Workflow automations do not migrate as code because Flowlu's object-triggered workflow model is structurally different from Salesforce Flow's record-triggered, scheduled, and screen flow variants. We extract a full JSON export of every active Flowlu workflow with its trigger conditions, actions, delays, and CRM object scope. We deliver a written inventory document mapping each Flowlu workflow to a recommended Salesforce Flow type (Record-Triggered Flow, Scheduled Flow, or Screen Flow) with a step-by-step rebuild guide for the customer's admin.

Flowlu

Agile Project

maps to

Salesforce Sales Cloud

Jira for Salesforce or Jira Cloud (parallel scope)

1:1
Fully supported

Flowlu Agile Projects use sprints, backlogs, and an issue tracker separate from standard Projects. We do not migrate Agile data to Salesforce because Salesforce has no Agile Sprint or backlog model. We extract sprint assignments, backlog rank, issue priority, and story points and deliver a written data map for migration to Jira or a dedicated Agile tool. Jira for Salesforce (by ServiceRocket) is an option for teams that want the backlog visible inside Salesforce.

Flowlu

Custom Fields

maps to

Salesforce Sales Cloud

Custom Fields (Account, Contact, Opportunity, Task, custom objects)

lossy
Mapping required

Flowlu Custom Fields attach to Projects, Tasks, Opportunities, Contacts, Companies, Knowledge Base items, and Agile Issues. We extract the complete custom field schema per object type, including field type (text, number, date, list, checkbox, dropdown), required flag, and any conditional visibility rules. Each field is pre-created in Salesforce before data import begins. Mis-matched field types (Flowlu list fields vs Salesforce free-text) are flagged for manual review during scoping. Required field violations can block Salesforce inserts; we handle with either a temporary required-field override during migration or a manual review queue.

Flowlu

Time Entry

maps to

Salesforce Sales Cloud

Task (with billable flag)

1:1
Fully supported

Flowlu Time Entries map to Salesforce Task records linked to the parent Project custom object (if applicable) and the relevant Task. We map entry date, duration in minutes, user by email lookup, task and project references, and the billable flag as a custom Task field billable__c. Billable time totals reconcile against Flowlu's time tracking report during validation.

Flowlu

User

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Flowlu Users with roles (Admin, Manager, Member) and team memberships map to Salesforce User records by email match. Owner assignments on Contacts, Opportunities, and Tasks resolve via the User mapping. Any Flowlu User without a matching Salesforce User is held in a reconciliation queue for the customer's admin to provision before record import proceeds.

Flowlu

Tag

maps to

Salesforce Sales Cloud

Multi-Select Picklist or Topic

lossy
Fully supported

Flowlu Tags stored as multi-checkbox properties on Contacts, Companies, or Opportunities map to Salesforce multi-select picklist fields. Tags used for classification migrate to Salesforce Topics with TopicAssignment records. The customer selects the tag strategy during scoping: multi-select picklist is simpler and works for most use cases; Topics require a Topic-enabled org.

Flowlu

Invoices (historical)

maps to

Salesforce Sales Cloud

Custom Invoice__c object or Salesforce Invoice

1:1
Fully supported

Flowlu invoices can reference closed Projects or tasks that may not exist in Salesforce. We map the invoice header (date, due date, issuer, totals, payment status) and line items to Salesforce Invoice or a custom Invoice__c object. If the related Account exists in Salesforce, we link via AccountId. Line item references to Flowlu-only Projects or tasks are set to null and flagged for manual reconciliation post-migration.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Custom Fields on multiple object types require field-level mapping before any data loads

    Flowlu allows Custom Fields on Projects, Tasks, Opportunities, Contacts, Companies, Knowledge Base articles, and Agile Issues. Each object carries a different set of custom fields with different types. We extract the complete custom field schema per object during scoping, pre-create every field in Salesforce with the matching type, and validate that picklist values, required flags, and conditional visibility rules are compatible. Mis-matched field types (Flowlu list fields vs Salesforce free-text) or required-field violations can block Salesforce inserts entirely. We handle type mismatches with a manual review queue before migration begins rather than letting them fail silently during load.

  • Flowlu automations and integrations do not migrate to Salesforce Flow

    Flowlu's migration documentation explicitly states that automations, integrations, and API connections do not carry over after import. Flowlu's workflow builder operates across Projects, Tasks, and CRM modules simultaneously, which has no direct Salesforce Flow equivalent. We extract every active Flowlu workflow as a structured JSON with trigger conditions, actions, and delays, then deliver a written rebuild checklist mapped to Salesforce Flow types. The customer's admin rebuilds each workflow in Salesforce Flow post-migration. This gap is consistently underestimated by teams migrating from Flowlu.

  • Flowlu Projects and Tasks have no native Salesforce equivalent and require a pre-migration decision

    Flowlu's core data model centers on Projects and Tasks as first-class CRM objects. Salesforce has no native Project or Task object. The customer must choose one of three paths before migration begins: map to a custom Project__c object with Tasks (requires Salesforce licensing for the custom object or Salesforce Projects), migrate Projects to a dedicated PM tool like Jira or Asana with a link record stored in Salesforce, or drop Project and Task data entirely and start fresh in the new system. Each choice affects schema design, migration timeline, and cost. We deliver a decision document during scoping so that schema creation does not begin until the choice is confirmed.

  • Flowlu Free plan contact cap can silently truncate data during migration to Salesforce

    Flowlu's Free plan caps CRM at 100 contacts and locks email sync behind paid tiers. During migration scoping, if the source Flowlu account is on the Free plan or has a contact count close to the cap, we extract the full dataset and compare it against the destination Salesforce org's tier limits. Salesforce's free trial has a record ceiling; importing beyond it truncates silently with no warning. We check the target tier's contact capacity before import and flag any gap, recommending a Salesforce paid tier activation before migration begins.

  • Salesforce validation rules and field-level security can reject migrating records without warning

    Salesforce orgs commonly enforce validation rules (required formats, conditional required fields, picklist value whitelists) and field-level security that the migration user must explicitly bypass during insert. We coordinate with the customer's Salesforce admin to grant the migration profile the necessary object and field permissions, and we either temporarily disable blocking validation rules during load or add a migration-context bypass check. Skipping this step results in 5-30 percent record rejection on the first import pass and requires a replay with corrected data.

Migration approach

Six steps for a successful Flowlu to Salesforce Sales Cloud data migration

  1. Discovery and migration decision scoping

    We audit the source Flowlu account across plan tier, custom field schema per object type, pipeline count, project and task volumes, invoice count, Knowledge Base article count, and active workflow count. We pair this with a destination Salesforce edition review and the Project/Task decision (custom object, Jira, or drop). The discovery output is a written migration scope document that lists every object, record count estimate, custom field inventory, and the chosen strategy for Projects, Tasks, and Knowledge Base articles. We do not begin schema creation until the customer confirms the Project/Task strategy.

  2. Destination schema design in Salesforce Sandbox

    We design the destination schema in a Salesforce Sandbox (Full Copy or Partial Copy). This includes provisioning custom objects for Projects if applicable, custom fields per the Flowlu field schema, Record Types and Sales Processes per Flowlu pipeline, multi-select picklists for tags, and any validation rules scoped to the migration user. We create all fields with correct types (text, number, date, picklist, checkbox, multi-select picklist) before any data import. The Sandbox migration runs with production-like data volume for reconciliation before production migration begins.

  3. Sandbox migration and customer reconciliation

    We run a full migration into the Sandbox with the confirmed schema. The customer's admin and RevOps lead reconcile record counts (Accounts, Contacts, Opportunities, Projects, Tasks, Invoices), spot-check 25-50 records per object type against the Flowlu source, and validate that field values, stage names, owner assignments, and custom field content are correct. Any mapping corrections, missing fields, or duplicate-handling decisions happen here before production migration begins. We do not run production migration until the Sandbox sign-off is received in writing.

  4. Owner reconciliation and User provisioning

    We extract every distinct Flowlu User referenced on Contacts, Companies, Opportunities, Projects, Tasks, and Invoices and match by email against the destination Salesforce org's User table. Any Flowlu User without a matching Salesforce User is held in a reconciliation queue. The customer's Salesforce admin provisions missing Users (active or inactive depending on whether the original Flowlu user is still employed) before migration resumes. OwnerId references are required on most standard Salesforce objects, so this step gates all downstream imports.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts first (from Flowlu Companies), then Contacts with AccountId resolved, Opportunities with AccountId, RecordTypeId, and OwnerId resolved, Pipeline Stages configured before Opportunities, Projects and Tasks if applicable (with Project__c Lookups resolved), Invoices with AccountId resolved, Time Entries as Tasks, Knowledge Base articles to Salesforce Knowledge or custom object, then Custom Field data populated for all records. Each phase emits a row-count reconciliation report and an error log before the next phase begins. Bulk API chunking handles volumes above 50,000 records.

  6. Cutover, delta migration, and automation rebuild handoff

    We freeze writes to Flowlu during cutover, run a final delta migration of records modified during the migration window, then enable Salesforce as the system of record. We deliver the automation rebuild checklist (JSON export of all Flowlu workflows with Salesforce Flow rebuild steps), the Project/Task decision document, and the Knowledge Base reconfiguration guide if Salesforce Knowledge was not enabled. We support a one-week hypercare window for reconciliation issues raised by the customer's team. We do not rebuild Flowlu Workflows as Salesforce Flow or migrate Projects to Jira within the migration scope; those 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.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

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 Salesforce Sales Cloud.

  • 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

Can't find your answer?

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Migrations under 25,000 Contacts and 5,000 Opportunities with no Projects, Tasks, or Knowledge Base articles land between three and five weeks. Migrations that include Projects and Tasks mapped to a custom Salesforce object, a large Knowledge Base, multiple pipelines, and extensive custom field schemas require eight to fourteen weeks because of schema pre-creation in Sandbox, Project/Task decision alignment, custom field type mapping, and sandbox validation before production load.

Adjacent paths

Related migrations to explore

Ready when you are

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