CRM migration
Field-level mapping, validation, and rollback between Flowlu and Nutshell. We move data and schema; workflows are rebuilt natively in Nutshell.
Flowlu
Source
Nutshell
Destination
Compatibility
5 of 8
objects map 1:1 between Flowlu and Nutshell.
Complexity
CModerate
Timeline
1-3 weeks
Overview
Moving from Flowlu to Nutshell is a scope-refinement migration: Nutshell is a purpose-built CRM, while Flowlu bundles CRM, project management, invoicing, and knowledge base into a single platform. We migrate the CRM layer (Contacts, Companies, Deals, and Custom Fields) with full relationship preservation between records. Projects, Tasks, Invoices, Time Entries, and Knowledge Base articles do not have native equivalents in Nutshell and are flagged during scoping for manual export or alternative handling. Flowlu's automations do not carry over after import per Flowlu's own migration documentation, and we deliver a written rebuild checklist for your admin. Nutshell's per-user pricing and unlimited contact model replace Flowlu's tiered contact limits, which caught long-term users off guard after the September 2025 pricing shift to per-seat billing.
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 Nutshell, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Flowlu
Contact
Nutshell
Contact
1:1Flowlu Contacts map to Nutshell Contacts. We map name fields (first_name, last_name), email, phone, company association (via the Contact-Company link), lifecycle stage, and any custom field values. Deduplication uses email as the primary key. Flowlu's lifecycle stage property maps to Nutshell's Status or a custom field for audit trail. The Contact-Company relationship is resolved by matching Flowlu's company_id to the pre-imported Nutshell Company record.
Flowlu
Company
Nutshell
Company
1:1Flowlu Companies map to Nutshell Companies. We map company name, industry, website, address fields, and custom fields. Companies are imported before Contacts so that the company reference on each Contact is satisfied at the moment of import. Nutshell does not have a separate Account concept; Company is the single organizational record type.
Flowlu
Opportunity
Nutshell
Deal
1:1Flowlu Opportunities map to Nutshell Deals. We map deal name, stage, amount, probability, expected close date, and custom fields. The pipeline and stage assignment from Flowlu determines the Nutshell pipeline and stage the deal lands in. Nutshell's Deal object has a direct probability field; we map Flowlu's probability percentage directly or compute from the stage mapping table.
Flowlu
Pipeline
Nutshell
Pipeline
1:1Flowlu Pipelines map to Nutshell Pipelines. We map pipeline name and stage definitions (stage name, order, and probability). Active deals are placed in their current pipeline and stage at migration time. Nutshell Pipelines are created before Deal import so that each Deal has a valid pipeline reference on insert.
Flowlu
Pipeline Stage
Nutshell
Stage
lossyIndividual stages within each Flowlu Pipeline map to Nutshell Stage values scoped to that Pipeline. Stage display order and probability percentages migrate directly. Nutshell stages are scoped per Pipeline, matching Flowlu's architecture.
Flowlu
Custom Fields (CRM objects)
Nutshell
Custom Fields
lossyFlowlu Custom Fields on Contacts, Companies, and Opportunities map to Nutshell custom fields on the equivalent objects. Each field is mapped by type: Flowlu text fields map to Nutshell text fields, list fields map to drop-down or multi-select depending on Nutshell's field support, date fields map to date fields. We extract the complete custom field schema per object type during scoping and map each before import. Mismatched field types are flagged for manual review.
Flowlu
User
Nutshell
User
1:1Flowlu Users map to Nutshell Users by email match. We extract the user roster and match against the destination Nutshell account's user list. Active Flowlu users must have a corresponding Nutshell user provisioned before Deal and Contact import begins because Owner fields are required on standard imports.
Flowlu
Projects
Nutshell
Not supported
lossyFlowlu Projects have no native equivalent in Nutshell. Nutshell is a CRM platform without project management capability. We extract project data (name, description, deadline, status, custom fields) during scoping and deliver a structured CSV export for the customer's admin to handle separately. Project assignments on migrated Deals (e.g., deal linked to a project reference) are preserved as a text field on the Deal rather than a relationship.
| Flowlu | Nutshell | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Opportunity | Deal1:1 | Fully supported | |
| Pipeline | Pipeline1:1 | Fully supported | |
| Pipeline Stage | Stagelossy | Fully supported | |
| Custom Fields (CRM objects) | Custom Fieldslossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Projects | Not supportedlossy | 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
Nutshell gotchas
Contact tier limits enforced on import
No bulk API endpoint requires paginated extraction
Email sequences not exportable via API
Foundation plan disables key sales features
Pair-specific challenges
Migration approach
Discovery and scoping
We audit the source Flowlu account across plan tier, object inventory (Contacts, Companies, Opportunities, Pipelines, Custom Fields, Projects, Invoices), active workflow count, and user roster. We identify which records fall within the CRM migration scope and which fall into the project/invoice export deliverable scope. We also verify the destination Nutshell account plan and user count. The discovery output is a written migration scope that explicitly separates what migrates directly into Nutshell from what extracts as CSV.
Custom field schema extraction and mapping
We extract the complete custom field schema per object type from Flowlu: field name, field type (text, number, date, list, checkbox, etc.), required status, and which object each field attaches to. We map each to a Nutshell equivalent custom field. Fields without a direct Nutshell type (e.g., Flowlu Agile-specific fields) are flagged for manual assignment. The mapping document is reviewed by the customer before any import begins.
Nutshell pipeline and stage configuration
We configure Nutshell Pipelines and Stages to match the Flowlu source before any record import. This includes creating one Nutshell Pipeline per Flowlu Pipeline, setting stage names and display order, and mapping probability percentages. Pipeline configuration is validated in the Nutshell sandbox or test environment before production migration begins.
Owner and user reconciliation
We extract every distinct Flowlu Owner referenced on Contact, Company, and Deal records and match by email against the destination Nutshell account's user list. Owners without a matching Nutshell user go to a reconciliation queue for the customer's admin to provision before import. User provisioning must complete before record import because Owner fields are required on standard imports.
CRM record migration in dependency order
We run production migration in record-dependency order: Companies first (as the organization record), then Contacts (with company reference resolved), then Pipelines and Stages, then Deals (with owner, company, and pipeline reference resolved). Custom Fields are created via Nutshell's custom field API before record import begins. Each phase emits a row-count reconciliation report before the next phase starts. Projects, Tasks, Invoices, and Knowledge Base articles are exported as structured CSV and delivered alongside the Nutshell migration report.
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 Nutshell as the system of record. We deliver the automation rebuild checklist (extracted from Flowlu's workflow inventory) and the project/invoice CSV export to the customer's admin team. We support a one-week hypercare window to resolve any reconciliation issues. We do not rebuild Flowlu automations as Nutshell workflow rules inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Flowlu
Source
Strengths
Weaknesses
Nutshell
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 Nutshell.
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.
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FAQ
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