CRM migration
Field-level mapping, validation, and rollback between Patent Hive and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Patent Hive
Source
Freshsales
Destination
Compatibility
11 of 12
objects map 1:1 between Patent Hive and Freshsales.
Complexity
BStandard
Timeline
48–72 hours
Overview
Patent Hive typically stores data around project or invention-record entities — contacts, companies, deals, and activity history — but lacks a native CRM pipeline model with stage probability and forecasting. Freshsales uses a Lead-Contact-Account-Deal architecture with lifecycle stages, multiple independent sales pipelines, Freddy AI scoring (Pro plan), and a custom fields system with type-aware field creation. We map your source objects directly to their Freshsales equivalents: Contacts to Contacts, Companies to Accounts, Deals to Opportunities. Platform-specific fields like lifecycle stages and custom pick-lists become Freshsales custom fields, created before data lands. Source automations and workflow logic do not migrate — we export their definitions as a rebuild reference for Freshsales' workflow builder. The migration runs via Freshsales' REST API with scoped read access on the source, a sample-first field-level diff, then a full cutover with a 24–48h delta pickup window capturing in-flight records. During the audit phase, FlitStack identifies each object, custom field, and pick-list value, producing a mapping spreadsheet and a Freshsales admin configuration checklist. All custom fields are created before the import, and the pipeline stages are defined with probability weights and forecast categories. The migration leverages Freshsales' REST API with OAuth2 authentication, preserving original create timestamps, stage-change timestamps, and owner assignments across all records.
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 Patent Hive 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.
Patent Hive
Contact
Freshsales
Contact
1:1Direct map. All standard contact fields migrate to Freshsales Contact. Source contacts without an associated company link to a default placeholder Account to satisfy Freshsales' AccountId requirement on Contact records. Any missing email addresses are flagged and corrected before migration to ensure each Contact has a unique identifier in Freshsales. Custom fields on the source Contact are pre-created as Freshsales custom fields, with field types matched during the audit.
Patent Hive
Contact (qualified lead records)
Freshsales
Lead
1:manyRecords flagged as leads in the source split to Freshsales Lead rather than Contact. Freshsales Lead requires conversion mapping rules (Admin > Leads > Conversion Settings) to be pre-configured so contact, account, and deal fields transfer correctly at conversion time.
Patent Hive
Company
Freshsales
Account
1:1Direct map. HubSpot-style company hierarchies (parent/child) map to Freshsales Account's Parent Account field. Multi-company associations on a single contact collapse to a primary AccountId plus Account Contact Relationships in Freshsales. If a source contact links to multiple companies, we select the primary company as the AccountId and create additional Account Contact Relationship entries for the secondary companies. Parent-child hierarchies are preserved using Freshsales' Parent Account lookup.
Patent Hive
Deal
Freshsales
Opportunity
1:1Direct map. HubSpot deal pipelines map to Freshsales Sales Pipelines. Each pipeline requires its own pipeline configuration in Freshsales with named stages, probabilities, and forecast categories. Stage values map value-by-value. Before migration, the Freshsales Admin creates each pipeline and defines its stages, probabilities, and forecast categories. If the source uses custom probability values, we replicate those as stage-level probability overrides in Freshsales to maintain forecast accuracy.
Patent Hive
Pipeline
Freshsales
Sales Pipeline
1:1HubSpot pipeline becomes a Freshsales Sales Pipeline. Freshsales supports multiple independent pipelines from the Growth plan. Each pipeline holds its own stage set, probability model, and currency — key for teams with multiple business units or product lines. If a source pipeline uses a specific currency, we map it to the corresponding Freshsales pipeline's currency setting, and any exchange rate considerations are handled outside the migration as a post-import step.
Patent Hive
Pipeline Stage
Freshsales
Stage
1:1Stage names map value-by-value into Freshsales stage definitions. Probability and forecast category re-applied per Freshsales pipeline configuration. Stage-entered timestamps preserved as custom datetime fields for reporting continuity. If the source stage names differ from Freshsales defaults, we create matching stage labels in the Freshsales pipeline and flag any missing stages for manual approval before the migration run.
Patent Hive
Lifecycle / Status Field
Freshsales
Lifecycle Stage (custom field on Contact)
1:1Freshsales has no native equivalent to HubSpot's lifecycle stage on Contact. We create a custom pick-list field (Lifecycle_Stage__c) with the source values as options, then map each contact's final stage value. Source stage-change timestamps stored as a companion datetime field.
Patent Hive
Activity (email, call, meeting, note)
Freshsales
Task / Event / Note
1:1HubSpot email activities map to Freshsales Tasks with Type='Email'. Calls map to Tasks with Type='Call'. Meetings map to Freshsales Events with original start/end times preserved. Notes map to Freshsales Notes on the record timeline. All original timestamps and owner assignments migrate.
Patent Hive
Custom Object / Custom Field Set
Freshsales
Custom Field / Custom Module
1:1Source custom fields migrate to Freshsales custom fields. Freshsales Enterprise plans support custom modules for complex multi-entity data. Custom object relationships that are many-to-many require Freshsales Account Contact Relationships or a junction object — surfaced in the migration plan before execution.
Patent Hive
Owner / User
Freshsales
User
1:1Owner resolution by email match against Freshsales users. Unmatched owners flagged before migration — teams either invite them to Freshsales first or assign to a fallback user. No record lands without a resolved owner. If the source owner email is empty, the record is assigned to the designated fallback user and noted in the reconciliation report. Owner email normalizations (e.g., case differences) are handled automatically during the match process.
Patent Hive
Attachment / File
Freshsales
File
1:1File attachments on records re-upload to Freshsales Files. Freshsales file storage limits apply per plan. Inline images embedded in notes are extracted and re-hosted as separate file attachments on the parent record. During the audit, files exceeding the plan size are flagged, and a chunked upload via the Freshsales Files API or a URL reference is used. File names and dates are preserved as metadata on the Freshsales file record.
Patent Hive
Workflow / Automation
Freshsales
Not Migrated
1:1Workflow rules, assignment logic, and automated field updates do not transfer between platforms. We export the workflow definitions as a structured rebuild reference. Freshsales' workflow builder is rebuilt from that reference — our team can scope this as a separate deliverable.
| Patent Hive | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Contact (qualified lead records) | Lead1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Sales Pipeline1:1 | Fully supported | |
| Pipeline Stage | Stage1:1 | Fully supported | |
| Lifecycle / Status Field | Lifecycle Stage (custom field on Contact)1:1 | Fully supported | |
| Activity (email, call, meeting, note) | Task / Event / Note1:1 | Fully supported | |
| Custom Object / Custom Field Set | Custom Field / Custom Module1:1 | Fully supported | |
| Owner / User | User1:1 | Fully supported | |
| Attachment / File | File1:1 | Fully supported | |
| Workflow / Automation | Not Migrated1:1 | 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.
Patent Hive gotchas
Patent Hive is a government program, not software
Hive project management confusion
No public API documentation discovered
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
Audit source data and map objects
FlitStack reads every record type from the source via API or CSV export, generating a data audit report. This report lists object counts, field names, pick-list values, custom field types, and relationship cardinalities. We compare the source schema against Freshsales' standard object model to identify which objects map directly, which need custom fields, and which need pre-migration Freshsales configuration such as pipeline setup or lead conversion field mapping rules. The audit output drives the formal migration plan presented for approval before any data moves.
Configure Freshsales schema before data lands
Before the first record is written to Freshsales, your admin (or FlitStack's team) creates the required custom fields, pipelines, stage sets, and lead conversion field mappings identified in the audit. This step is the most common source of delay — Freshsales configuration must be complete before data import, not during. FlitStack delivers a step-by-step Freshsales Admin checklist with screen references so the configuration completes in a single session. Custom fields that exist in the source but have no Freshsales equivalent are flagged and scoped for manual approval.
Resolve owners and prepare for multi-user migration
Every record in Freshsales requires an Owner field pointing to a Freshsales user. We run an email-match scan against Freshsales users for every owner value in the source. Unmatched owners are reported in a resolution sheet — your team either creates Freshsales user accounts for them, reassigns their records to a fallback user, or merges their records with an existing user. Owner resolution must complete before the migration run because Freshsales rejects records with invalid Owner IDs. This step typically adds 1–2 business days to the schedule depending on team responsiveness.
Run sample migration with field-level diff
A representative slice — typically 100–500 records spanning contacts, accounts, opportunities, and a sample of activities — migrates first. We generate a field-level diff comparing source values against destination values for every mapped field. You verify that lifecycle stage mapping, pipeline-stage mapping, owner resolution, and custom field population all look correct. This is the validation gate: no full migration commits until you sign off on the sample diff. Common catches at this stage include pick-list value mismatches, date format differences, and owner resolution edge cases.
Execute full migration with delta pickup window
Once the sample diff is approved, the full migration runs against Freshsales via the REST API. A delta-pickup window — typically 24–48 hours — opens after the bulk run completes. During this window, any records created or modified in the source system after the bulk export timestamp are identified, transformed, and written to Freshsales. This captures in-flight changes that occurred during the cutover. An audit log is generated for reconciliation, and one-click rollback is available if post-migration validation reveals systematic issues requiring a restart.
Post-migration reconciliation and handoff
After the delta window closes, FlitStack delivers a reconciliation report comparing source record counts against Freshsales record counts by object type. Any records that failed migration are listed with error reasons and remediation steps. The audit log, source-to-destination field mapping spreadsheet, and Freshsales Admin configuration checklist are packaged as the migration artifact. FlitStack support remains available for 10 business days post-migration to handle any data issues surfaced during the user's first full week of Freshsales usage.
Platform deep dives
Patent Hive
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Patent Hive and Freshsales.
Object compatibility
2 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
Patent Hive: Not applicable — no public API surface exists..
Data volume sensitivity
Patent Hive 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
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