CRM migration

Migrate from Daffodil CRM to Freshsales

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

Daffodil CRM logo

Daffodil CRM

Source

Freshsales

Destination

Freshsales logo

Compatibility

70%

7 of 10

objects map 1:1 between Daffodil CRM and Freshsales.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Daffodil CRM logo

Daffodil CRM

What's pushing teams away

  • Limited integration ecosystem frustrates teams that rely on third-party tools like Zapier, Outlook, or Google Workspace, as the platform lacks broad connector support.
  • Steep learning curve for advanced features — G2 reviewers note that certain features like proof growth tracking are difficult to understand without dedicated onboarding.
  • Small customer base and minimal market visibility make it risky for growing teams concerned about long-term vendor stability and support availability.
  • Users report the platform needs more work on seamless integrations, indicating gaps in API connectivity and data sync with external systems.

Choosing

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Daffodil CRM objects map to Freshsales

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

maps to

Freshsales

Contact

1:1
Fully supported

Daffodil 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

maps to

Freshsales

Account

1:1
Fully supported

Daffodil 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

maps to

Freshsales

Deal

1:1
Fully supported

Daffodil 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

maps to

Freshsales

Deal Pipeline

lossy
Fully supported

Daffodil 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

maps to

Freshsales

Task

1:1
Fully supported

Daffodil 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

maps to

Freshsales

Task (subtype: Call)

1:1
Fully supported

Daffodil 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

maps to

Freshsales

Event

1:1
Fully supported

Daffodil 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

maps to

Freshsales

User

1:1
Fully supported

Daffodil 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

maps to

Freshsales

Custom Fields

lossy
Mapping required

Daffodil 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

maps to

Freshsales

Tag

lossy
Fully supported

Daffodil 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.

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.

Daffodil CRM logo

Daffodil CRM gotchas

High

No publicly documented REST API

Medium

Custom schema requires manual field mapping

Medium

No standalone product page or pricing

High

Vendor dependency for data export

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • No public API requires vendor-coordinated export

    Daffodil CRM does not expose a REST API, developer portal, or self-serve export interface. Migration depends on CSV exports negotiated with Daffodil Software, direct database access if available, or manual extraction by the customer. We confirm the export method during discovery. If only CSV is available, we handle large datasets in chunks of 5,000 records or fewer to prevent export timeouts, and we preserve relational links between contacts and companies via matching fields rather than numeric IDs. If Daffodil Software is unresponsive or the relationship has ended, we fall back to manual CSV extraction guidance provided to the customer's admin.

  • Custom schema means no standard field reference

    Daffodil CRM field names, types, and relationships vary per customer implementation. There is no public object reference or API documentation to build against. We request a full field inventory from the customer before mapping begins — every standard and custom field name, its data type, and which object it belongs to. We build a custom field map for each migration project, transforming Daffodil CRM field values to match Freshsales field type requirements (date format, picklist values, numeric precision). Skipping this step results in import failures when a text value is sent to a numeric Freshsales field.

  • Freshsales Lead and Contact split requires pre-design

    Freshsales separates unqualified prospects (Leads) from qualified contacts (Contacts tied to Accounts). Daffodil CRM typically has a single contact model without this distinction. We define the split rule during scoping — typically using a Daffodil CRM status or lifecycle field to route records into either Freshsales Lead or Freshsales Contact — and preserve the original Daffodil CRM status in a custom field for audit. Migrations that do not design this split up front end up with all records landing in one object, creating a data model mismatch that requires re-import to correct.

  • Freshsales API rate limits constrain batch size

    Freshsales REST API enforces rate limits per tier (Growth: 100 calls/minute, 10,000 calls/day; Pro and Enterprise tiers offer higher limits). We implement request batching and exponential backoff on 429 responses. For large record sets, we chunk imports into batches of 100-200 records per request to stay within limits without retries. Daily limits reset at midnight UTC; large migrations may span multiple days. We plan batch windows accordingly during the migration run.

  • Workflows and automations do not migrate

    Daffodil CRM workflows built through custom development and Freshsales Workflow Automation use different trigger models, conditions, and action types. We do not migrate automations as code. We deliver a written inventory of every Daffodil CRM workflow or automation rule the customer is using — the trigger, conditions, actions, and any associated field updates — with a recommended Freshsales Workflow Automation equivalent. The customer's admin rebuilds these in Freshsales Flow or the Visual Workflow Builder post-migration. Automation rebuild scope is scoped separately from the data migration.

Migration approach

Six steps for a successful Daffodil CRM to Freshsales data migration

  1. 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).

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Daffodil CRM logo

Daffodil CRM

Source

Strengths

  • Dashboard and reporting views are accessible and easy to use for non-technical team members in small businesses.
  • Custom CRM development services allow for industry-specific or company-specific customization beyond off-the-shelf capabilities.
  • Cross-functional coordination across sales, marketing, and service is a stated design goal, appealing to unified workflow teams.
  • Mobile-first CRM approach ensures the interface is responsive and functional on mobile devices for field teams.

Weaknesses

  • Very small market share (0.00%) and customer base (~16-17 customers) raise concerns about product maturity and long-term viability.
  • No publicly documented API or export mechanisms make data portability uncertain without direct Daffodil Software engagement.
  • Limited third-party integrations compared to established CRMs like Salesforce, HubSpot, or Zoho.
  • G2 reviewer feedback highlights confusing advanced features and integration gaps that are not fully resolved.
  • Pricing is not publicly published, making it difficult to evaluate cost-effectiveness without direct sales contact.
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Daffodil CRM and Freshsales.

  • Object compatibility

    B

    3 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

    Daffodil CRM: Not applicable.

  • Data volume sensitivity

    B

    Daffodil CRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Daffodil CRM to Freshsales 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 Daffodil CRM to Freshsales data migrations

Answers to the questions buyers ask most during Daffodil CRM to Freshsales migration scoping. Not seeing yours? Book a call.

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Most Daffodil CRM to Freshsales migrations complete in two to three weeks for accounts under 10,000 records with clean CSV exports and straightforward field mapping. Migrations with large record volumes (over 50,000), multiple CSV batches with inconsistent formatting, or complex custom field type mismatches move to four to six weeks. The export method confirmation with Daffodil Software is the critical path item before any data work begins.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Daffodil CRM.
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