CRM migration
Field-level mapping, validation, and rollback between Upvise and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Upvise
Source
HighLevel
Destination
Compatibility
10 of 10
objects map 1:1 between Upvise and HighLevel.
Complexity
BStandard
Timeline
24–72 hours
Overview
Upvise is a mobile-first field-service CRM priced at $15/user/month for teams up to nine, scaling to $50/user/month for enterprise. Its data model centers on Contacts, Companies, Projects, and custom fields scoped per app (Forms, Jobs, etc.). HighLevel is an all-in-one CRM with standard objects for Contacts, Companies, and Opportunities, plus Custom Objects for business-specific data. HighLevel's Workflows engine replaces Upvise's form-based automation logic, and HighLevel's sub-account architecture has no direct Upvise equivalent. We map Upvise's Contact and Company records directly into HighLevel Contacts and Companies, and Projects into HighLevel Custom Objects. Custom fields map field-by-field using type-aware transformations. Upvise form submissions migrate as Custom Object records with timestamps and submitted-by contact links preserved. The migration runs via HighLevel's Bulk CSV import and API endpoints, with a delta-pickup window capturing any records modified during cutover. Workflows, form logic, and notification rules do not transfer — we document the source configuration for manual rebuild in HighLevel's Workflow Builder.
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 Upvise 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.
Upvise
Contact
HighLevel
Contact
1:1Upvise Contact records transfer directly to HighLevel Contacts using field-by-field mapping. Standard fields including name, email address, phone number, physical address, and any custom fields migrate as matching HighLevel custom fields. Upvise contacts may include a role or title property that does not have a direct HighLevel equivalent — we preserve this as a custom pick-list field named Role__c. The original contact creation timestamp transfers as a custom date field for reporting continuity.
Upvise
Company
HighLevel
Company
1:1Upvise Company records map one-to-one to HighLevel Company records. All standard fields including company name, website domain, industry classification, phone, full address components, employee count, and annual revenue transfer directly. Any Upvise company properties not covered by HighLevel's standard Company fields are captured as HighLevel custom fields on the Company object, maintaining full data fidelity from the source system.
Upvise
Project
HighLevel
Custom Object: Project
1:1Upvise Projects do not have a direct HighLevel equivalent. We create a HighLevel Custom Object named 'Project' with a field schema matching the Upvise structure. Project status, priority level, assigned user, and due date migrate as custom fields. Related Contacts and Companies are stored as lookup fields on the Custom Object, linking back to the migrated HighLevel records by email-matched IDs.
Upvise
Form Submission
HighLevel
Custom Object: Form Submission
1:1Upvise form submissions are records scoped to a specific form definition. We map these to a HighLevel Custom Object with fields capturing submitted values, submission timestamp, and a contact lookup linking to the submitting Contact record via email resolution. The original form structure is documented in a separate specification file for manual recreation in HighLevel's Forms module.
Upvise
Job
HighLevel
Custom Object: Job
1:1Upvise Jobs app records map to a HighLevel Custom Object. Job status, assigned technician, service location, and line-item totals transfer as custom fields on the Job Custom Object. Historical job data including creation and completion timestamps is preserved in the migrated records. Job scheduling logic and calendar-based availability checks require rebuild using HighLevel's Calendar integration and Workflow automation tools post-migration.
Upvise
Custom Field (any object)
HighLevel
Custom Field
1:1Upvise custom fields exist per object (Contact custom fields, Company custom fields, etc.). HighLevel supports custom fields natively on Contacts, Companies, Opportunities, and Custom Objects. We create matching custom fields in HighLevel, applying type-aware transformations: Upvise text fields map to HighLevel text fields, Upvise date fields map to HighLevel date fields, and Upvise pick-list fields map to HighLevel pick-list fields with value correspondence.
Upvise
User / Owner
HighLevel
User
1:1Upvise user accounts map to HighLevel users by matching email addresses. Active Upvise users who have login credentials become HighLevel users with the same email. Users in Upvise who lack email-based login access cannot be provisioned in HighLevel and their ownership on records is reassigned to a designated fallback user during migration with notes for administrator review.
Upvise
Attachment
HighLevel
File
1:1Upvise file attachments associated with Contacts, Companies, or Projects are downloaded from Upvise and re-uploaded to HighLevel's Cloud Storage. Each file is then linked back to its originating record in HighLevel. Large file attachments exceeding 25MB are flagged separately with the original Upvise-hosted URL preserved as a custom text field on the record for manual retrieval and re-upload.
Upvise
Note
HighLevel
Contact Note
1:1Upvise notes attached to Contact or Company records migrate as HighLevel Contact Notes with the original creation date, author information, and note body preserved. Rich-text formatting is maintained where the source format is compatible. Notes containing complex HTML markup are simplified to plain text with a reference link back to the original Upvise record.
Upvise
Invoice / Quote
HighLevel
Custom Object: Invoice
1:1Upvise invoice and quote records have no direct HighLevel equivalent. We map them to a Custom Object named 'Invoice' with custom fields for line items, totals, currency, and status. Links to payment processors like Stripe and PayPal cannot be preserved and require rebuild in HighLevel Payments. PDF attachments for invoices are preserved as HighLevel Files linked to the corresponding Invoice Custom Object record.
| Upvise | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Project | Custom Object: Project1:1 | Fully supported | |
| Form Submission | Custom Object: Form Submission1:1 | Fully supported | |
| Job | Custom Object: Job1:1 | Fully supported | |
| Custom Field (any object) | Custom Field1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Attachment | File1:1 | Fully supported | |
| Note | Contact Note1:1 | Fully supported | |
| Invoice / Quote | Custom Object: Invoice1:1 | 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.
Upvise gotchas
No public API means migration relies on manual export
Custom field types may not map directly to destination schemas
Form scripting logic does not transfer to non-Upvise destinations
User seat count is migration-scope critical
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
Audit Upvise data model and export all records
FlitStack AI authenticates with your Upvise account through the REST API using scoped read-only access credentials. The system enumerates every object type present in the account including Contacts, Companies, Projects, Form Submissions, and Jobs, along with their associated custom field definitions and pick-list value sets. A comprehensive pre-migration audit report is generated that details record counts per object, custom field names with data types, and available pick-list values, ensuring nothing is overlooked before the export phase begins.
Design HighLevel Custom Object schemas
Following the Upvise audit, we prepare a detailed schema definition document for each Custom Object required in HighLevel, including Project, Form Submission, Job, and Invoice objects. This document specifies every field name, data type, and pick-list configuration needed in HighLevel. Your HighLevel administrator creates the Custom Objects and custom fields through HighLevel's user interface, and we validate that the created schema matches the specification completely before proceeding to the data export phase.
Export, transform, and map Upvise records
Records are exported from Upvise into structured CSV files organized by object type. Each record passes through a field-level transformation pipeline that handles ID resolution, ISO date formatting, pick-list value translation, and email-based lookups for user and contact relationships. Straightforward fields like name, email, and phone pass through unchanged. Complex transformations include converting Upvise company ID references to HighLevel companyName text values and mapping Upvise status pick-list values to corresponding HighLevel Custom Object pick-list values.
Run sample migration with field-level diff
A representative sample set comprising typically 100 to 500 records per object type is imported into the HighLevel environment as an initial validation step. We generate a detailed field-level difference report that compares each Upvise source field value against its corresponding HighLevel destination value for every mapped field in the sample. You review the diff output to confirm that custom field mappings are correct, status value translations match expectations, and relationship links to Contacts and Companies resolve properly before committing to the full migration run.
Execute full migration with delta-pickup window
Following sample approval, the complete migration executes using HighLevel's Bulk CSV import functionality for standard Contacts and Companies objects, supplemented by API write calls for Custom Object records. A delta-pickup window of 24 to 48 hours runs concurrently to capture any records created or modified in Upvise during the cutover period. A detailed audit log records every record written during migration, and one-click rollback functionality reverts the HighLevel environment to its pre-migration state if data reconciliation identifies critical discrepancies.
Platform deep dives
Upvise
Source
Strengths
Weaknesses
HighLevel
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 Upvise and HighLevel.
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
Upvise: Not publicly documented.
Data volume sensitivity
Upvise 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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