CRM migration
Field-level mapping, validation, and rollback between Daylite and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Daylite
Source
HighLevel
Destination
Compatibility
7 of 11
objects map 1:1 between Daylite and HighLevel.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Daylite to GoHighLevel is a migration from an Apple-native desktop CRM to a cloud-first all-in-one platform. Daylite stores its full object graph in a Cocoa ORM backed by SQL, exporting relationships via foreign key columns across CSVs; GoHighLevel uses a REST API with Contact, Account, Opportunity, Task, and Custom Object endpoints. We extract the Daylite export, resolve the foreign key relationships between People, Companies, and Opportunities before import, then write to GoHighLevel's API using batch chunking and exponential backoff. Projects, Appointments, and Tasks do not have direct GoHighLevel equivalents and require destination-side configuration or creative custom-object mapping. Billings Pro data does not live in Daylite and is outside migration scope. Workflows, automations, and Forms do not migrate; we deliver a written inventory for your admin to rebuild in GoHighLevel's workflow engine.
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 Daylite 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.
Daylite
People
HighLevel
Contact
1:1Daylite People records map directly to GoHighLevel Contacts. The export CSV contains first_name, last_name, email, phone, address, and custom field columns. We use the email address as the dedupe key during GoHighLevel import and preserve the Daylite People ID in a custom field dl_people_id__c for audit. Groups that a Person belongs to migrate as tags on the Contact record.
Daylite
Companies
HighLevel
Account
1:1Daylite Company records map to GoHighLevel Accounts. Every Person in Daylite can link to one Company via a foreign key; we resolve the Company lookup at migration time and set AccountId on each Contact during import to preserve the relationship. Company address, industry, and custom fields map to the corresponding Account custom fields.
Daylite
Opportunities
HighLevel
Opportunity
1:1Daylite Opportunities map to GoHighLevel Opportunities with pipeline stage mapping. Daylite stores stage names as plain text per Opportunity rather than a managed taxonomy; we deduplicate all unique stage strings from the export and present them as a stage mapping table so you explicitly map each Daylite stage name to a GoHighLevel pipeline stage. Opportunity value, probability, and close date migrate directly. The linked Person and Company foreign keys resolve to the Contact and Account records created in the prior migration phases.
Daylite
Pipeline Stages
HighLevel
Pipeline Stage
lossyDaylite Opportunity stages are freeform text strings stored per record, not a central stage definition. We extract every distinct stage value across all Opportunities and deduplicate the list. During scoping, we present this stage inventory and you map each to a GoHighLevel pipeline stage with a corresponding probability percentage. GoHighLevel pipelines are created in Settings before migration begins, and the stage mapping table drives the stage assignment during import.
Daylite
Projects
HighLevel
Custom Object (Project) or Opportunity with custom fields
1:manyDaylite Projects do not have a direct GoHighLevel equivalent. GoHighLevel has no native project management object. We offer two approaches: (1) create a GoHighLevel Custom Object named Project with custom fields for project name, status, start date, end date, and budget; or (2) map Projects to Opportunities with a dl_project_id__c custom field and store project metadata as Opportunity custom fields. The approach is chosen during scoping based on whether you need to track project-specific tasks and appointments separately from sales Opportunities.
Daylite
Appointments
HighLevel
Task (Calendar) or GoHighLevel Appointment Scheduler
lossyDaylite Appointments carry UTC start/end timestamps, timezone, location, category, and a linked Person and Project ID. GoHighLevel's appointment system uses a separate Calendars and Locations model. We import Appointments as Task records with ActivityDate set to the original Daylite timestamp, preserving subject, start time, and location in custom task fields. If you intend to use GoHighLevel's appointment scheduler post-migration, we document which Daylite Appointments should be recreated as GoHighLevel Calendar events.
Daylite
Tasks
HighLevel
Task
1:1Daylite Tasks (standalone and sub-tasks) map to GoHighLevel Tasks. Status, priority, due date, and assignee migrate. Tasks linked to Projects carry a Project foreign key that we resolve against the Project mapping choice made in scoping (Custom Object or Opportunity). Sub-tasks become GoHighLevel Tasks with a custom parent_task_id__c field linking to the parent.
Daylite
Notes
HighLevel
Contact or Opportunity Notes
1:1Daylite Notes attached to People, Companies, Opportunities, or Projects export with the target object type and ID. We write them to GoHighLevel as notes on the corresponding Contact or Opportunity record using the target ID to resolve the destination. Notes with no valid target record are flagged for manual assignment.
Daylite
Groups
HighLevel
Tags
lossyDaylite Groups are static groupings of People or Companies used for segmentation. They export as a membership mapping table. We recreate group membership in GoHighLevel as tags on Contact and Account records. The mapping worksheet lets you confirm whether each Daylite Group becomes a GoHighLevel tag, a GoHighLevel Contact list, or a Smart List segment.
Daylite
Custom Fields
HighLevel
Contact Custom Fields or Opportunity Custom Fields
1:1Daylite custom field definitions live in a separate metadata table alongside the record data. We extract both the definition table (field name, type, options) and the value table and present them as a mapping worksheet. In GoHighLevel, custom fields are either Contact-scoped or Opportunity-scoped with no switching after creation, so each Daylite custom field must be assigned a GoHighLevel scope during scoping. Field types (text, date, number, picklist) map to GoHighLevel equivalents; multi-select picklists in Daylite map to GoHighLevel multi-select fields.
Daylite
iOSXpert Plugin Data
HighLevel
Custom Object or custom fields
1:1iOSXpert plugins (Time&Budget, FinanceConnector) write data into additional tables within Daylite's database. We audit the exported table list for plugin signatures during scoping. Where those tables are present, we migrate them to GoHighLevel as custom fields on the relevant object (Project or Opportunity) or as a dedicated Custom Object depending on the plugin's data structure. If the plugin was not installed when the export was generated, those tables will be absent from the export and the data cannot be recovered without a fresh export with the plugin active.
| Daylite | HighLevel | Compatibility | |
|---|---|---|---|
| People | Contact1:1 | Fully supported | |
| Companies | Account1:1 | Fully supported | |
| Opportunities | Opportunity1:1 | Fully supported | |
| Pipeline Stages | Pipeline Stagelossy | Mapping required | |
| Projects | Custom Object (Project) or Opportunity with custom fields1:many | Fully supported | |
| Appointments | Task (Calendar) or GoHighLevel Appointment Schedulerlossy | Fully supported | |
| Tasks | Task1:1 | Fully supported | |
| Notes | Contact or Opportunity Notes1:1 | Fully supported | |
| Groups | Tagslossy | Fully supported | |
| Custom Fields | Contact Custom Fields or Opportunity Custom Fields1:1 | Mapping required | |
| iOSXpert Plugin Data | Custom Object or custom fields1:1 | Mapping required |
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.
Daylite gotchas
Database export download expires after 14 days
Billings Pro self-serve is discontinued, cloud migration required
Plugin-stored data is only exportable if the plugin is installed
Custom field definitions must be manually mapped
Pipeline stage names are plain text, not a managed taxonomy
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
Export audit and scoping call
We begin every Daylite migration by confirming the validity of the database export. We ask you to share a screenshot of the export download page showing the link expiration date. If the link has expired, we request a fresh export with all iOSXpert plugins installed and active. We audit the exported table list for plugin signatures and cross-reference with the Daylite object model to identify any missing tables. This step also covers your custom field definitions, pipeline stage inventory, group list, and any known gaps in the export.
Relationship graph resolution and mapping worksheet
Daylite exports relationships as foreign key columns in the record CSVs. We reconstruct the full relationship graph before any import begins: which People link to which Companies, which Opportunities link to which People and Companies, which Projects contain which Tasks, and which Appointments link to which People. We present this as a mapping worksheet where you confirm custom field scope assignments (Contact field vs Opportunity field), pipeline stage normalization, Project-to-custom-object strategy, and group-to-tag mapping. This worksheet is the authoritative migration map; no data is written to GoHighLevel until you sign off.
GoHighLevel destination configuration
Before we write a single record, GoHighLevel's destination environment must be configured to receive the data. This includes creating any Custom Objects (for Projects or plugin data), defining all custom fields with the correct scope and type, configuring pipeline stages with the mapped stage names and probabilities, and setting up Calendars and Locations if Appointments will land as GoHighLevel Calendar events. We provide a configuration checklist and review the GoHighLevel settings with your admin before import begins. Configuration changes in GoHighLevel require a separate admin session and are outside our data-migration scope, but we guide the process.
Sandbox import and reconciliation
We run a full import into a GoHighLevel test environment using production data volumes. We reconcile record counts at each phase: Contacts in, Accounts in, Opportunities in, Tasks in. You spot-check 20-30 records against the Daylite source and sign off before production migration. Any field type mismatches, missing custom fields, or stage mapping corrections are resolved in this phase. This step typically takes one to three days and prevents issues in the production cutover.
Production migration in dependency order
We run production migration in the following order: Accounts (from Companies), Contacts (with AccountId resolved and Groups mapped as tags), Opportunities (with ContactId, AccountId, and pipeline stage assigned), Tasks (including Appointments and sub-tasks with parent relationship resolved), Notes (written to the target Contact or Opportunity), and Custom Object records (Projects or plugin data, last because lookups to standard objects must already exist). Each phase emits a row-count report before the next begins. We use GoHighLevel's API with rate-limit handling and exponential backoff.
Cutover, validation, and workflow rebuild handoff
We freeze Daylite writes during cutover, run a final delta migration of any records modified during the migration window, then mark GoHighLevel as the system of record. We deliver a written inventory of every Daylite workflow-equivalent (there are no server-side automations in Daylite, but we document the manual processes and recurring tasks that should be rebuilt in GoHighLevel's Workflow engine), plus the GoHighLevel Workflow configuration guide. We support a 72-hour hypercare window for reconciliation issues. We do not rebuild GoHighLevel Workflows as standard scope; that is a separate engagement.
Platform deep dives
Daylite
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 Daylite 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
Daylite: Not publicly documented as specific numeric quotas; standard SaaS limits assumed and confirmed during scoping.
Data volume sensitivity
Daylite exposes a bulk API — large-volume migrations stream efficiently.
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
Answers to the questions buyers ask most during Daylite to HighLevel migration scoping. Not seeing yours? Book a call.
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