CRM migration
Field-level mapping, validation, and rollback between Daffodil CRM and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Daffodil CRM
Source
Freshsales
Destination
Compatibility
7 of 10
objects map 1:1 between Daffodil CRM and Freshsales.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Daffodil CRM is a bespoke CRM built by Daffodil Software for small teams that need coordinated sales, marketing, and service workflows. Because the platform has no publicly documented REST API, data extraction depends on CSV exports negotiated with Daffodil Software or direct database access, and field names vary per customer implementation. Freshsales, part of the Freshworks suite, offers an intuitive CRM with native Lead, Contact, Account, Deal, and Activity objects accessible via REST API, with AI-powered lead scoring and Freddy AI deal insights on Pro and Enterprise tiers. We extract the Daffodil CRM data in CSV chunks, clean relational links that were stored as names rather than IDs, build a custom field map against Freshsales field types, and load through the Freshsales REST API. Workflows, automation rules, and custom integrations do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Freshsales Flow.
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 Daffodil CRM 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.
Daffodil CRM
Contact
Freshsales
Contact
1:1Daffodil CRM Contact records migrate to Freshsales Contact. The primary mapping covers first_name, last_name, email, phone, mobile, and company name. Because Daffodil CRM stores company as a text field rather than a relational ID, we use company name as a fuzzy-match key against Freshsales Account records imported in the prior phase. Custom fields on Daffodil CRM contacts export as separate columns and map to Freshsales custom fields of matching type (text, number, date, picklist). Multi-select picklist values from Daffodil CRM require flattening before Freshsales import.
Daffodil CRM
Company
Freshsales
Account
1:1Daffodil CRM Company records map to Freshsales Account. We import Accounts first so that the Account ID is available when Contacts are loaded, satisfying Freshsales Contact.relationships.account_id. Daffodil CRM company name becomes Account Name; domain fields map to Website. Industry, size, and address fields migrate to standard Freshsales Account fields or custom fields based on the customer's field inventory. If Daffodil CRM exports company records as a separate file, we process it before Contact imports to establish the parent relationship.
Daffodil CRM
Deal
Freshsales
Deal
1:1Daffodil CRM Deal records map to Freshsales Deal. The mapping covers deal_name, amount, stage, expected_close_date, owner_email, and contact association. We use Freshsales Deal pipeline and stage configuration to match Daffodil CRM pipeline stages, creating the pipeline in Freshsales first if it does not already exist. Deal amount migrates as a numeric field; currency assumptions follow what is stored in Daffodil CRM. Owner assignment uses email-based lookup against the User mapping.
Daffodil CRM
Pipeline
Freshsales
Deal Pipeline
lossyDaffodil CRM deal pipeline stages become Freshsales Deal pipeline stages. If Daffodil CRM has a single pipeline with linear stages, we create a matching Freshsales pipeline with equivalent stage names and probabilities. Multi-stage Daffodil CRM pipelines map to separate Freshsales pipelines, each with its own stage sequence and probability weighting. Stage order and probability percentages come from the customer's Daffodil CRM configuration.
Daffodil CRM
Activity: Task
Freshsales
Task
1:1Daffodil CRM Activity records of type task migrate to Freshsales Task. The mapping covers task_title, due_date, status, priority, and description. We resolve the related contact or deal by matching on name or email against the records imported in prior phases. Task owner maps via email to Freshsales User. Daffodil CRM does not have a documented activity type taxonomy, so we infer task type from field names and values provided in the export.
Daffodil CRM
Activity: Call
Freshsales
Task (subtype: Call)
1:1Daffodil CRM call activity records migrate to Freshsales Task with subtype set to Call. Duration, disposition, and call outcome from Daffodil CRM map to Freshsales custom Task fields. Activity timestamp preserves the original call date for timeline ordering. Call notes migrate to the Task description field. If Daffodil CRM stores call recordings, we flag these as attachment references requiring manual handoff since file URLs may not be accessible post-migration.
Daffodil CRM
Activity: Meeting
Freshsales
Event
1:1Daffodil CRM meeting records map to Freshsales Event. Start datetime, end datetime, location, and meeting title migrate. Attendee information migrates to Freshsales Event contacts via the contact relationship resolved during import. Meeting notes migrate to the Event description or as an associated Note. If Daffodil CRM stores meeting type or outcome, these map to custom fields on the Event.
Daffodil CRM
User
Freshsales
User
1:1Daffodil CRM user and owner records map to Freshsales User accounts. We resolve by email address: each unique owner email in Daffodil CRM records is matched to a Freshsales User with the same email, which we provision before record import begins. Users without a match go to a reconciliation queue for the customer's admin to provision in Freshsales. Active and inactive status from Daffodil CRM carries forward as User status in Freshsales.
Daffodil CRM
Custom Fields
Freshsales
Custom Fields
lossyDaffodil CRM custom fields on Contacts, Companies, and Deals are exported as additional columns in the respective object CSV. We create matching custom fields in Freshsales (Admin Settings > Customize Fields) before data import, using Freshsales field types that best correspond to the Daffodil CRM data (text, number, date, picklist, multi-select picklist, checkbox). Multi-select picklist values require transformation: comma-separated Daffodil CRM values become individual Freshsales picklist option selections.
Daffodil CRM
Tag / Label
Freshsales
Tag
lossyDaffodil CRM tags applied to contacts, companies, or deals export as comma-separated values or repeated rows. We parse the tag values and create Freshsales Tags during import, then apply them to the corresponding Contact, Account, or Deal records via the Freshsales Tags API. If Daffodil CRM uses a label system with hierarchical groupings, we flatten it to a single tag namespace in Freshsales to match the platform's flat tag model.
| Daffodil CRM | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Deal Pipelinelossy | Fully supported | |
| Activity: Task | Task1:1 | Fully supported | |
| Activity: Call | Task (subtype: Call)1:1 | Fully supported | |
| Activity: Meeting | Event1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Tag / Label | Taglossy | 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.
Daffodil CRM gotchas
No publicly documented REST API
Custom schema requires manual field mapping
No standalone product page or pricing
Vendor dependency for data export
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
Export method confirmation and scoping
We kick off with a discovery call to confirm how Daffodil CRM data will be extracted. If Daffodil Software provides a CSV export, we receive it and audit the column headers, record count, and file count. If direct database access is available, we query Contacts, Companies, Deals, Activities, Users, and Custom Fields directly. We also request the full field inventory from the customer — every standard and custom field name, its type, and which object it belongs to. The discovery output is a written migration scope, a preliminary field map, and a list of any Daffodil CRM records that may not export cleanly (attachments, notes with large text, hierarchical labels).
Freshsales tenant setup and field schema creation
We work with the customer's Freshsales admin to set up the destination workspace. This includes configuring Deal pipelines and stages to match the Daffodil CRM pipeline structure, creating any required Freshsales custom fields (mapped from the Daffodil CRM field inventory), and provisioning User accounts for each Daffodil CRM owner identified in the export. We create the pipeline in Freshsales first so that Deal records can reference a valid pipeline at import time. If the customer is on Freshsales Growth, we confirm that Custom Objects are not required before creating them, since that feature requires Enterprise.
Data extraction, cleaning, and transformation
We extract Daffodil CRM data in the agreed format. For CSV exports, we chunk large files into batches of 5,000 rows or fewer, clean dirty data (inconsistent date formats, duplicate records, missing required fields), and reconstruct relational links using name-based matching where numeric IDs are absent. Multi-select picklist values are flattened to individual rows. Tags and labels are parsed into Freshsales-compatible format. We validate record counts against the source system before proceeding to import.
Freshsales API import in dependency order
We import into Freshsales in record-dependency order: Accounts (from Companies) first, then Users (for owner resolution), then Contacts (with AccountId resolved via name match), then Deals (with Contact and Owner resolved), then Activities (Tasks, Calls, Events with parent references). Each object import uses the Freshsales REST API with batched payloads and rate-limit handling. We emit a row-count reconciliation report after each phase — Contacts imported versus Contacts in source, Deals imported versus Deals in source — before the next phase begins. Any records that fail import due to validation errors are logged, corrected, and retried in a reconciliation pass.
Validation, delta migration, and cutover
We run a reconciliation report comparing Freshsales record counts and a spot-check sample of 20-30 records against the Daffodil CRM source. We identify any gaps (missing fields, orphaned records, incorrectly assigned relationships) and correct them. We freeze write access to Daffodil CRM during the final cutover window, extract a delta of any records modified since the initial export, and load the delta into Freshsales. We then hand over the migration inventory document covering workflows and automations for Freshsales rebuild.
Automation rebuild handoff and hypercare
We deliver the Automation Inventory document listing every Daffodil CRM workflow, rule, or custom integration with its trigger, conditions, and recommended Freshsales Workflow Automation equivalent. The customer's Freshsales admin rebuilds these in the platform. We provide a one-week hypercare window to resolve any reconciliation issues discovered in the first days of live Freshsales usage. We do not rebuild workflows as a standard migration deliverable; that work is scoped separately.
Platform deep dives
Daffodil CRM
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Daffodil CRM and Freshsales.
Object compatibility
3 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
Daffodil CRM: Not applicable.
Data volume sensitivity
Daffodil CRM 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
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