CRM migration
Field-level mapping, validation, and rollback between Daylite and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
Daylite
Source
Zoho CRM
Destination
Compatibility
9 of 12
objects map 1:1 between Daylite and Zoho CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Daylite to Zoho CRM is a platform-crossing migration: Daylite is an Apple-native desktop ORM backed by compressed CSVs, while Zoho CRM is a cloud-first REST API platform with multi-tier licensing. Daylite's export generates flat CSVs per table (People, Companies, Opportunities, Projects, Appointments, Tasks, Notes, Groups) plus an attachments folder, all linked by foreign keys we resolve before Zoho import. The most consequential migration decisions are the pipeline stage normalization (Daylite stores stage names as freeform text; Zoho uses a managed picklist), the plugin-data audit (iOSXpert tables are absent if the plugin was not installed during export), and the custom field definition worksheet (Daylite separates field definitions from values across two tables). We do not migrate Billings Pro data, automations, or Daylite Mail Assistant rules; we deliver a written inventory of these for the customer's admin to rebuild in Zoho.
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 Zoho CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Daylite
People
Zoho CRM
Contacts
1:1Daylite People records map to Zoho CRM Contacts. The Person-Company linkage (one Company per Person in Daylite) becomes a Zoho CRM Account lookup on the Contact record. We extract email, phone, address, job title, social profiles, and custom fields from the People CSV and write them to the Zoho Contacts module via the API, using the email address as the dedupe key. Any Person linked to a Company that is absent from the Companies export is held in a gap queue for the customer to resolve.
Daylite
Companies
Zoho CRM
Accounts
1:1Daylite Company records map to Zoho CRM Accounts. The Company name becomes Account Name; industry, website, address, and phone fields map directly. We load Accounts first in the migration sequence so that Contact imports can satisfy the Account lookup at insert time. Daylite supports one Company per Person; if the customer has Person records with no linked Company, we create a placeholder Account named 'No Company Assigned' and flag it for the customer's review.
Daylite
Opportunities
Zoho CRM
Deals
1:1Daylite Opportunities map to Zoho CRM Deals. Each Opportunity carries a stage name (freeform text), monetary value, close date, and links to a Person (Contact) and Company (Account). We extract all unique stage name strings from the Opportunities CSV during the audit phase and present them as a normalization table: the customer maps each Daylite stage name to a Zoho CRM Deal Stage picklist value and assigns the corresponding probability. Stage normalization must be resolved before Deal import because Zoho enforces the stage picklist on insert.
Daylite
Pipeline Stages
Zoho CRM
Deal Stages (per Pipeline)
lossyDaylite Opportunity stage names are freeform text stored per record with no central taxonomy, meaning typos and variant names are preserved verbatim. Zoho CRM Deal Stages are a managed picklist defined per Pipeline with probability and forecast category. We deduplicate all unique stage strings from the Daylite export, normalize them (merging 'Closed Won', 'closed-won', and 'Closed Won ' into a single value), and present a stage mapping worksheet. Each mapped stage gets assigned a Zoho stage name, probability percentage, and the order within the pipeline sequence.
Daylite
Projects
Zoho CRM
Tasks (or Zoho Projects)
lossyDaylite Projects with status, start/end dates, budget, and linked Tasks map to Zoho CRM Tasks module or the standalone Zoho Projects application depending on the customer's Zoho tier. We inspect the exported Projects table during scoping. If the customer holds Zoho Plus ($57/user/month) or an active Zoho Projects subscription, we migrate Projects to the Projects module with sub-tasks mapped accordingly. Otherwise, Projects migrate as Zoho CRM Tasks with the project name stored in a custom text field and linked Contacts/Accounts set on WhatId.
Daylite
Appointments
Zoho CRM
Events
1:1Daylite Appointments export with UTC start/end timestamps, timezone, all-day flag, location, and category, plus a linked Person ID and optional Project ID. We map these to Zoho CRM Events, preserving Start DateTime, End DateTime, All-Day flag, Location, and Description. We resolve the linked Person to a Zoho Contact ID and set the WhoId. If a Project was linked, we set the WhatId to the corresponding Task or Zoho Projects record depending on the chosen project mapping strategy.
Daylite
Tasks
Zoho CRM
Tasks
1:1Daylite Tasks export with status, due date, priority, assignee, and optional Project linkage. We map them to Zoho CRM Tasks with Subject, Status, Due Date, Priority, and Owner (resolved by email to Zoho User). Sub-tasks inherit a parent Task ID reference. Tasks linked to Projects carry a Project foreign key we follow to set the WhatId to the migrated project record. Standalone Tasks have no WhatId.
Daylite
Notes
Zoho CRM
Notes
1:1Daylite Notes are freeform text attached to any object (Person, Company, Opportunity, Project, Appointment, Task). The export includes the target object type and ID. We write each Note to the Zoho CRM Notes module linked via ContentDocumentLink to the corresponding target record (Contact, Account, Deal, or Task). Note body migrates as plain text. If the Note contains only an attachment reference, we migrate the attachment separately and link it to the parent record.
Daylite
Groups
Zoho CRM
Tags or Custom Views
lossyDaylite Groups are static groupings of People or Companies used for segmentation. We map them to Zoho CRM Tags (a per-record labeling system) on the Contact or Account record. Each Daylite Group membership row becomes a Tag entry on the corresponding Contact or Account. If the customer used Groups for campaign targeting, we also document the group membership counts as a reference list so the customer's admin can rebuild equivalent segmented views in Zoho CRM's Custom Views.
Daylite
Tags
Zoho CRM
Tags
1:1Daylite's tag system is a cross-object labeling mechanism exported as a separate lookup table per object type. We map each tag to a Zoho CRM Tag on the corresponding record (Contact, Account, Deal, or Task). Zoho's Tags are stored as a comma-separated field on the record, which aligns with Daylite's multi-tag-per-record model. Tag normalization (merging duplicate tag names with different casing or spacing) is handled in the same transformation pass as stage normalization.
Daylite
Attachments
Zoho CRM
Attachments
1:1Daylite attachments are bundled into the compressed export as a flat folder with filenames referencing the parent object type and ID. We parse the filename pattern, resolve the parent object type and ID to the migrated Zoho record ID, and reattach each file using the Zoho CRM Attachments API. Attachments are processed after all parent records are confirmed in Zoho. Large attachment sets (over 5,000 files) are chunked and uploaded with exponential backoff to stay within Zoho's API rate limits.
Daylite
Custom Fields
Zoho CRM
Custom Fields
1:1Daylite custom field definitions live in a separate metadata table from the values table. We extract both during export parsing, pair each field definition (name, type, options) with its values, and present a custom field mapping worksheet. The customer explicitly maps each Daylite custom field to a Zoho CRM custom field, specifying the target module, field type (text, number, date, picklist, multi-select, checkbox), and any type conversion needed. Zoho custom fields are created via the CRM API before record import begins. This explicit worksheet step prevents orphaned or misnamed fields in Zoho.
| Daylite | Zoho CRM | Compatibility | |
|---|---|---|---|
| People | Contacts1:1 | Fully supported | |
| Companies | Accounts1:1 | Fully supported | |
| Opportunities | Deals1:1 | Fully supported | |
| Pipeline Stages | Deal Stages (per Pipeline)lossy | Mapping required | |
| Projects | Tasks (or Zoho Projects)lossy | Fully supported | |
| Appointments | Events1:1 | Fully supported | |
| Tasks | Tasks1:1 | Fully supported | |
| Notes | Notes1:1 | Fully supported | |
| Groups | Tags or Custom Viewslossy | Fully supported | |
| Tags | Tags1:1 | Mapping required | |
| Attachments | Attachments1:1 | Mapping required | |
| Custom Fields | 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
Zoho CRM gotchas
API access requires Professional tier or above
Subform fields do not export cleanly via CSV
API credit consumption is non-linear
Export download links expire in 7 days
Owner (User) assignments require pre-mapped user IDs
Pair-specific challenges
Migration approach
Export sequencing and link validity confirmation
Before any migration work begins, we confirm that the Daylite database export download link is still valid. If the link has expired, we request a fresh export from Daylite Account Settings and hold the project start date until the new archive is available. We also ask the customer whether iOSXpert plugins (Time&Budget, FinanceConnector) were installed during the export, and whether any Billings Pro records exist that need separate export. This step establishes the complete dataset boundary before scoping begins.
CSV parsing and foreign key graph extraction
We parse every CSV table from the Daylite export archive (People, Companies, Opportunities, Projects, Appointments, Tasks, Notes, Groups, Tags, Pipeline Stages, Custom Field Definitions, Custom Field Values, Attachments, and any plugin tables present). We reconstruct the foreign key relationships: which Person ID links to which Company ID, which Opportunity ID links to which Person and Company, which Appointment and Task link to which Person and Project. This graph is the foundation for all downstream mapping decisions and must be complete before the mapping worksheet is presented.
Custom field and stage normalization worksheet
We extract all Daylite custom field definitions (from the metadata table) paired with their values from the record tables, and all unique Opportunity stage name strings from the Opportunities CSV. We present two separate worksheets to the customer: one for custom field mapping (Daylite field name and type to Zoho CRM module, field name, and type) and one for pipeline stage normalization (each unique Daylite stage string to a Zoho CRM Deal Stage picklist value with probability). Both worksheets require explicit customer sign-off before we proceed to Zoho schema creation. Skipping this step results in rejected records at import time.
Zoho CRM schema provisioning
We create all required Zoho CRM modules and custom fields before any record import. This includes the Contacts, Accounts, Deals, Tasks, and Events standard modules; custom fields on each module per the signed mapping worksheet; Deal Stages per the normalized stage mapping; Tags if not already active; and any custom modules if the customer requires them. Zoho custom fields are created via the CRM API. Schema is validated with a test record before the full import begins. If the customer requires Zoho Projects for Projects migration, we confirm the Zoho subscription tier and provision the Projects module accordingly.
Record migration in dependency order
We migrate records in dependency order to satisfy Zoho's required lookups. Accounts load first (from Daylite Companies). Contacts load second with AccountId resolved from the Account migration. Deals load third with StageName normalized, ContactId and AccountId resolved, and probability assigned per the stage mapping. Tasks and Events load fourth with WhoId and WhatId resolved. Notes load fifth linked via ContentDocumentLink to the parent record. Tags are written last as a batch update per record. Each phase emits a row-count reconciliation report showing records written, skipped, and errored before the next phase begins.
Attachment migration and final validation
After all parent records are confirmed in Zoho, we migrate attachments by parsing Daylite's flat attachment folder filenames to extract the parent object type and ID, resolving those to migrated Zoho record IDs, and uploading each file via the Zoho CRM Attachments API with rate-limit handling. We run a final validation: record counts per module match the Daylite export counts, spot-check 25-50 records for field-level accuracy, and confirm attachment filenames are present on the correct parent records. We deliver the migration validation report and the written automation inventory to the customer's admin for Zoho workflow and blueprint rebuild.
Platform deep dives
Daylite
Source
Strengths
Weaknesses
Zoho CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Zoho CRM.
Object compatibility
1 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
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FAQ
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