CRM migration

Migrate from Daylite to HighLevel

Field-level mapping, validation, and rollback between Daylite and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.

Daylite logo

Daylite

Source

HighLevel

Destination

HighLevel logo

Compatibility

64%

7 of 11

objects map 1:1 between Daylite and HighLevel.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Daylite logo

Daylite

What's pushing teams away

  • Apple-only platform becomes a constraint — teams that need web access, cross-platform mobile support, or Windows/Linux compatibility hit a hard wall and must migrate away entirely.
  • Limited third-party integrations — compared to cloud-first CRMs with deep Zapier, API, or native connector ecosystems, Daylite's integration surface is narrow, frustrating teams needing to connect billing, marketing, or analytics tools.
  • Steep learning curve for non-power users — the rich object model and deep Apple integration come with complexity that new team members find intimidating without dedicated onboarding.
  • Plugin ecosystem fragility — iOSXpert plugins are third-party and must be maintained alongside Daylite updates; plugin breakage or abandonment leaves data stranded in non-standard tables.
  • Data export limitations — while CSV export is possible, the 14-day download window and manual column-selection process make large or automated migrations difficult to execute reliably.

Choosing

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How Daylite objects map to HighLevel

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

maps to

HighLevel

Contact

1:1
Fully supported

Daylite 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

maps to

HighLevel

Account

1:1
Fully supported

Daylite 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

maps to

HighLevel

Opportunity

1:1
Fully supported

Daylite 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

maps to

HighLevel

Pipeline Stage

lossy
Mapping required

Daylite 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

maps to

HighLevel

Custom Object (Project) or Opportunity with custom fields

1:many
Fully supported

Daylite 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

maps to

HighLevel

Task (Calendar) or GoHighLevel Appointment Scheduler

lossy
Fully supported

Daylite 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

maps to

HighLevel

Task

1:1
Fully supported

Daylite 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

maps to

HighLevel

Contact or Opportunity Notes

1:1
Fully supported

Daylite 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

maps to

HighLevel

Tags

lossy
Fully supported

Daylite 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

maps to

HighLevel

Contact Custom Fields or Opportunity Custom Fields

1:1
Mapping required

Daylite 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

maps to

HighLevel

Custom Object or custom fields

1:1
Mapping required

iOSXpert 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.

Gotchas + challenges

What specifically takes care here

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 logo

Daylite gotchas

High

Database export download expires after 14 days

High

Billings Pro self-serve is discontinued, cloud migration required

Medium

Plugin-stored data is only exportable if the plugin is installed

Medium

Custom field definitions must be manually mapped

Low

Pipeline stage names are plain text, not a managed taxonomy

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • Daylite database export link expires after 14 days

    Daylite generates a compressed archive of CSVs when you trigger Account Settings > My Info > Create Data Export, and the download link is valid for 14 days. If your scoping call occurs after the link has expired, you must trigger a new export before we can begin any import work. We confirm link validity during onboarding and request a fresh export with all iOSXpert plugins installed if the current export predates a plugin installation. This is the single most common delay in Daylite migrations.

  • GoHighLevel custom fields cannot change scope after creation

    GoHighLevel distinguishes between Contact custom fields and Opportunity custom fields, and this choice is permanent once the field is saved. Daylite custom fields exist on objects without an equivalent scope separation, so a field like Status that appears on both People and Opportunities in Daylite must be split into a Contact custom field and an Opportunity custom field in GoHighLevel. We present a custom field mapping worksheet during scoping and you explicitly assign scope per field before any data is written. Fields created with the wrong scope require deletion and recreation, which disrupts any data already loaded.

  • Projects and Appointments require destination-side configuration before import

    Daylite's native Project and Appointment objects have no structural equivalent in GoHighLevel's standard CRM. Before we can import these records, GoHighLevel's pipeline, custom objects, and appointment calendars must be configured to receive the data. If you want Projects as a GoHighLevel Custom Object, that object must be created in Settings with all custom fields defined before we run the import. If you want Appointments to land as GoHighLevel Calendar events, the Calendar and Location setup must be complete. We handle the configuration planning during scoping; the actual GoHighLevel configuration is performed by your admin or a GoHighLevel specialist before data import begins.

  • Billings Pro invoices and billing records do not migrate from Daylite

    Billings Pro is a separate application from Daylite and stores its data in a separate database. Billings Pro's self-serve version has been discontinued, and cloud migration is required. Billings Pro records do not appear in Daylite's export archive. If you have invoice history, billing records, or financial data in Billings Pro that must be preserved, you must export them from Billings Pro independently before your account transitions. We do not migrate Billings Pro data and flag it as outside migration scope during discovery.

Migration approach

Six steps for a successful Daylite to HighLevel data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Daylite logo

Daylite

Source

Strengths

  • Deep Apple platform integration with Contacts, Calendar, Mail, and Siri.
  • Built-in project management with Tasks, Appointments, and budget tracking.
  • Full database CSV export available to all customers without restrictions.
  • Single pricing tier with no feature gating between plans.
  • Rich ORM-based data model with well-structured foreign key relationships.

Weaknesses

  • Apple-only deployment excludes all other desktop and mobile platforms.
  • Limited third-party integration ecosystem beyond native Apple apps.
  • Self-serve data export window expires after 14 days.
  • API documentation is sparse and not publicly indexed.
  • Plugin data from iOSXpert add-ons may not be consistently exportable.
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Daylite and HighLevel.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Daylite: Not publicly documented as specific numeric quotas; standard SaaS limits assumed and confirmed during scoping.

  • Data volume sensitivity

    A

    Daylite exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Daylite to HighLevel migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Daylite to HighLevel data migrations

Answers to the questions buyers ask most during Daylite to HighLevel migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your Daylite to HighLevel migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Daylite migrations land in two to four weeks because Daylite customers are small teams with straightforward object models and no engagement history to migrate (Daylite stores activities as local app events rather than a queryable engagement log). Migrations involving Projects with linked Tasks, iOSXpert plugin data, or a large number of custom fields extend to five to eight weeks because GoHighLevel configuration must be completed before each import phase can begin.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Daylite.
Land in HighLevel, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day