CRM migration
Field-level mapping, validation, and rollback between Flowlu and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Flowlu
Source
HighLevel
Destination
Compatibility
6 of 10
objects map 1:1 between Flowlu and HighLevel.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from Flowlu to GoHighLevel is a migration between two all-in-one platforms with very different primary audiences. Flowlu combines CRM, project management, invoicing, and knowledge base for small to mid-sized teams; GoHighLevel is purpose-built for agencies and marketing-focused businesses with CRM, funnels, SMS, email automation, and white-label SaaS capabilities. The structural gap is project data: Flowlu's Projects and Tasks have no native GoHighLevel equivalent, so we resolve them during scoping as tagged Opportunities (for billable project work) or as Contacts with structured Custom Fields for internal operations. Flowlu's Pipelines map directly to GoHighLevel Pipelines with stage-by-stage probability migration. Custom Fields on Contacts, Companies, and Opportunities carry over as GoHighLevel Contact or Opportunity Custom Fields, with Flowlu list-field values mapped to GoHighLevel picklist options. Workflows, automations, and Flowlu's knowledge base articles do not migrate; we deliver a written rebuild checklist for the customer's admin. The September 2025 per-seat pricing shift on Flowlu is a frequent driver for teams evaluating GoHighLevel's unlimited-contacts model at $97 per month.
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 HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Flowlu
Contact
HighLevel
Contact
1:1Flowlu Contacts map directly to GoHighLevel Contacts using email as the dedupe key. We map name fields (firstname, lastname), email, phone, company association, and lifecycle stage to GoHighLevel Contact Custom Fields. Any Flowlu contact with a linked Company inherits the GoHighLevel Company (Account) lookup at migration time. Custom fields on Flowlu Contacts migrate as GoHighLevel Contact Custom Fields with type mapping: Flowlu text to GoHighLevel text, Flowlu list fields to GoHighLevel picklist options, and Flowlu date fields to GoHighLevel date fields.
Flowlu
Company
HighLevel
Company
1:1Flowlu Companies map to GoHighLevel Companies. We map company name, industry, website, and address fields. The relationship between Flowlu Contact and Company is preserved in GoHighLevel through the Contact-Company link. GoHighLevel Company is created before Contact migration so that the lookup reference is satisfied at insert time.
Flowlu
Opportunity
HighLevel
Opportunity
1:1Flowlu Opportunities map to GoHighLevel Opportunities with the pipeline and stage preserved. The Flowlu deal amount migrates to GoHighLevel Opportunity Amount, expected close date maps to Close Date, and probability percentages map to GoHighLevel stage probability. Custom fields on Opportunities migrate as GoHighLevel Opportunity Custom Fields. Closed-won and closed-lost statuses carry over with their original close dates.
Flowlu
Pipeline
HighLevel
Pipeline
1:1Flowlu Pipelines map to GoHighLevel Pipelines with stage names and order preserved. Stage-specific probability values migrate to GoHighLevel stage probability settings. We configure GoHighLevel pipelines during the schema phase before any Opportunity records are imported.
Flowlu
Project
HighLevel
Opportunity or tagged Contact
lossyFlowlu Projects have no native GoHighLevel equivalent. We resolve project mapping during scoping based on the customer's workflow: billable client projects become GoHighLevel Opportunities with a project-type tag (using Custom Fields), and internal operational projects become tagged Contacts with project metadata stored in Custom Fields. Milestones and project deadlines migrate as Opportunity Custom Fields or date-range fields on the tagged Contact. The customer chooses the strategy during discovery.
Flowlu
Task
HighLevel
Task
1:1Flowlu Tasks map to GoHighLevel Tasks with name, description, status, assignee, and due date preserved. Task dependencies (Flowlu's dependency relationships) do not have a GoHighLevel equivalent and are documented in the migration handoff for manual rebuild. Planned and actual time on Flowlu Tasks migrates to GoHighLevel Task Custom Fields for billable-hour tracking. Tasks are imported after Opportunities and Contacts so that the parent lookup is resolved.
Flowlu
Invoice
HighLevel
Opportunity Custom Fields + Payment Status
lossyFlowlu Invoices have no direct GoHighLevel equivalent as standalone records. We map invoice status (paid, overdue, draft) to a GoHighLevel Custom Field on the related Opportunity. Invoice line items and totals are preserved as notes or Custom Fields on the Opportunity for reference. If the customer needs invoice PDFs preserved, we attach them to the Opportunity record as files.
Flowlu
Time Entry
HighLevel
Opportunity Custom Field
lossyFlowlu Time Entries record hours logged against Tasks or Projects. We aggregate time entries by parent project or opportunity and store the total billable hours in a GoHighLevel Opportunity Custom Field. Individual time entry details are preserved in a CSV export attached to the Opportunity for audit purposes. GoHighLevel does not have native time tracking, so the aggregated summary is the practical migration target.
Flowlu
Custom Field (multi-object)
HighLevel
Contact Custom Field or Opportunity Custom Field
lossyFlowlu Custom Fields attach to Projects, Tasks, Opportunities, Contacts, Companies, and Knowledge Base items. We extract the complete custom field schema per object type during scoping and map each to the equivalent GoHighLevel field type. Flowlu list fields map to GoHighLevel picklists with options preserved. Flowlu checkbox fields map to GoHighLevel boolean fields. Any Flowlu custom field without a direct GoHighLevel type maps to a text field, flagged for the customer to review post-migration.
Flowlu
User
HighLevel
User
1:1Flowlu Users map to GoHighLevel Users by email match. We extract user name, email, and role (Admin, Manager, Member) from Flowlu and map role to GoHighLevel permission sets during migration. Any Flowlu User without a matching GoHighLevel User account is held in a reconciliation queue for the customer's admin to provision before record import.
| Flowlu | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Pipeline | Pipeline1:1 | Fully supported | |
| Project | Opportunity or tagged Contactlossy | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Invoice | Opportunity Custom Fields + Payment Statuslossy | Fully supported | |
| Time Entry | Opportunity Custom Fieldlossy | Fully supported | |
| Custom Field (multi-object) | Contact Custom Field or Opportunity Custom Fieldlossy | Fully supported | |
| User | User1:1 | 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
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Discovery and scoping
We audit the source Flowlu account across tier (Free, Essential, Advanced, Ultimate), record counts per object (Contacts, Companies, Opportunities, Projects, Tasks, Time Entries, Invoices), custom field schemas per object type, active workflow and automation count, and pipeline and stage definitions. We pair this with GoHighLevel account setup review: plan tier (Starter at $97, Unlimited at $297, or SaaS Pro at $497), existing sub-account structure if applicable, and any custom fields already configured. The discovery output is a written migration scope document with the project-data strategy (Opportunity vs tagged Contact for Projects), custom field mapping table, and timeline estimate.
Schema design and GoHighLevel configuration
We configure the destination GoHighLevel account before any data moves. This includes creating Pipelines matching Flowlu's pipeline and stage definitions with probability percentages, adding Custom Fields on Contacts and Opportunities to receive mapped Flowlu data (matching Flowlu field types to GoHighLevel field types), and setting up any required picklist options from Flowlu list fields. We also configure the project-data strategy chosen during discovery: if Projects map to Opportunities, we create a project-type Custom Field; if they map to tagged Contacts, we create the tagging structure.
Data extraction from Flowlu
We extract all records from Flowlu using the API (with exponential backoff on rate-limit responses since Flowlu does not publish rate limit thresholds). We extract Contacts with company links, Companies, Opportunities with pipeline and stage assignments, Projects with milestone data, Tasks with dependencies (for documentation), Time Entries aggregated by parent, Invoices with status, and the complete custom field schema per object. We also extract Knowledge Base articles as a document export. All records are staged in a migration workspace with a manifest showing record counts per object type.
Sandbox validation and mapping reconciliation
We run a test migration into the customer's GoHighLevel account using a representative sample of records (typically 10-20% of total volume) before the full production migration. The customer reviews the mapped records, checks that custom field values appear correctly, verifies pipeline stage assignments, and confirms the project-data resolution. Any field type mismatches (Flowlu list to GoHighLevel text, missing picklist options, etc.) are corrected in the mapping table before the production run. This step prevents bulk import errors in production.
Production migration in dependency order
We run production migration in record-dependency order: Companies first (so that Contact-Company links are satisfied), Contacts (with CompanyId resolved), Opportunities (with ContactId and pipeline/stage resolved), then Projects resolved per the chosen strategy (either as Opportunities with project metadata or as tagged Contacts). Tasks follow Opportunities and Contacts. Time Entries are aggregated and stored as Custom Fields on the parent Opportunity. Custom Fields on all object types are imported after the base record. Knowledge Base articles are exported as a document package. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and workflow handoff
We freeze Flowlu writes during the cutover window, run a final delta migration of any records modified during the migration, then mark GoHighLevel as the system of record. We validate record counts against the original Flowlu manifest and spot-check 25-50 records for field-level accuracy. We deliver the workflow and automation rebuild checklist documenting every Flowlu workflow, its trigger, conditions, and actions, with recommended GoHighLevel Workflow equivalents. We do not rebuild Flowlu workflows as GoHighLevel workflows inside the migration scope; that is a separate engagement or an internal admin task. We support a five-day hypercare window for reconciliation issues raised by the customer's team.
Platform deep dives
Flowlu
Source
Strengths
Weaknesses
HighLevel
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 HighLevel.
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
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FAQ
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