CRM migration
Field-level mapping, validation, and rollback between Daffodil CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Daffodil CRM
Source
Pipedrive
Destination
Compatibility
8 of 11
objects map 1:1 between Daffodil CRM and Pipedrive.
Complexity
CModerate
Timeline
2-3 weeks
Overview
Moving from Daffodil CRM to Pipedrive is a migration from a custom-built, vendor-dependent platform to a self-serve SaaS CRM with a documented REST API, 100,000-plus company customer base, and native integrations across 400-plus tools. Daffodil CRM has no publicly documented API, so export depends on CSV extraction or direct database access coordinated through Daffodil Software. We handle the vendor coordination for data extraction upfront, build a custom field map from your specific implementation schema, and import records into Pipedrive in dependency order: Companies first, then Contacts with company lookups resolved, then Deals with contact links, then Activity history. Pipedrive's custom fields, pipelines, and activity logging require configuration before data moves. Workflows, automations, and custom reporting do not migrate; we deliver a written inventory for your admin to rebuild.
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 Pipedrive, 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
Pipedrive
Person
1:1Daffodil CRM Contact records map to Pipedrive Person objects. We extract name, email address, phone number, company association, lifecycle stage, and all custom fields from the CSV export or database export. Daffodil CRM does not separate Leads from Contacts as distinct objects, so all records map to Pipedrive Person. The original lifecycle stage from Daffodil CRM migrates as a custom field for segmentation and reporting in Pipedrive.
Daffodil CRM
Company
Pipedrive
Organization
1:1Daffodil CRM Company records map to Pipedrive Organization. We extract company name, address, website, industry, employee count, and custom fields. The contact-to-company relationship is preserved by matching on company name or a shared external ID during import. Pipedrive Organization is created before Person import so that the organization_id field can be resolved at the moment of Person insert.
Daffodil CRM
Deal / Opportunity
Pipedrive
Deal
1:1Daffodil CRM Deal records map to Pipedrive Deal. We extract deal name, amount, stage, expected close date, owner assignment, and associated contacts. Custom pipeline stages in Daffodil CRM map to Pipedrive Deal stages within a Pipeline that we configure before migration. The deal-to-contact link migrates by resolving the contact name or external ID from the Daffodil CRM relationship table.
Daffodil CRM
Deal Stage
Pipedrive
Deal Stage
lossyEach Daffodil CRM pipeline becomes a Pipedrive Pipeline with corresponding stage names. Stage ordering, probabilities, and display colors configure in Pipedrive before Deals import. Closed-won and closed-lost statuses from Daffodil CRM map to Pipedrive's status Won and Lost fields.
Daffodil CRM
Activity: Call
Pipedrive
Activity (Call)
1:1Daffodil CRM call activity records map to Pipedrive Activity with type=call. We extract call date, duration, disposition, outcome, and related contact. The activity links to the corresponding Person in Pipedrive by matching on contact name or email from the original activity record. Call duration in seconds migrates as a custom field if the destination Pipedrive account uses Advanced tier or above.
Daffodil CRM
Activity: Email
Pipedrive
Activity (Email)
1:1Daffodil CRM email activity records map to Pipedrive Activity with type=email. Email subject, body, sent or received flag, timestamp, and related contact migrate. If Daffodil CRM stores email content as plain text, we preserve the full body. If attachments are present, we flag them for manual handoff since file attachments are not reliably exportable from Daffodil CRM.
Daffodil CRM
Activity: Meeting
Pipedrive
Activity (Meeting)
1:1Daffodil CRM meeting records map to Pipedrive Activity with type=meeting. We extract meeting title, date and time, location, attendees, and related contact. Meeting attendees are linked to the corresponding Person records in Pipedrive by matching on name or email from the Daffodil CRM attendee list.
Daffodil CRM
Activity: Task
Pipedrive
Activity (Task)
1:1Daffodil CRM task records map to Pipedrive Activity with type=task. We extract task subject, due date, status (open or completed), priority, assigned owner, and related contact. Task completion status migrates as Pipedrive's done flag. The assigned owner resolves by matching the Daffodil CRM owner name or email to a Pipedrive User.
Daffodil CRM
Custom Fields
Pipedrive
Custom Fields
lossyDaffodil CRM custom fields on Contacts, Companies, and Deals migrate as Pipedrive custom fields. We request a full field inventory from the customer before mapping begins and create Pipedrive custom fields of matching type (text, number, date, single-select, multi-select, phone, email, address). Multi-select picklist values from Daffodil CRM flatten to comma-separated values and re-assemble in Pipedrive's multi-select format.
Daffodil CRM
Tag / Label
Pipedrive
Label
lossyDaffodil CRM tags applied to Contacts, Companies, or Deals export as comma-separated values or individual rows. Tags migrate to Pipedrive Labels, which apply across Persons, Organizations, and Deals. Multi-value tag fields flatten during transformation and reassemble in Pipedrive using Pipedrive's label assignment API.
Daffodil CRM
Owner / User
Pipedrive
User
1:1Daffodil CRM Owner records map to Pipedrive User. We extract user name, email, role, team membership, and active status. Owner resolution in Pipedrive uses email match. If a Daffodil CRM owner has no matching Pipedrive User, they are held in a reconciliation queue for the customer's admin to provision before record import resumes.
| Daffodil CRM | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Deal / Opportunity | Deal1:1 | Fully supported | |
| Deal Stage | Deal Stagelossy | Fully supported | |
| Activity: Call | Activity (Call)1:1 | Fully supported | |
| Activity: Email | Activity (Email)1:1 | Fully supported | |
| Activity: Meeting | Activity (Meeting)1:1 | Fully supported | |
| Activity: Task | Activity (Task)1:1 | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Tag / Label | Labellossy | Fully supported | |
| Owner / User | User1:1 | 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
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Discovery and export coordination
We audit the Daffodil CRM implementation by collecting a full field inventory from the customer (field names, types, picklist values, and object assignments). We simultaneously coordinate data export with Daffodil Software, confirming whether CSV export, database export, or API access is available. We extract sample records from each object (Contacts, Companies, Deals, Activities) to validate export format, field覆盖率, and relational completeness. The discovery output is a written migration scope, a custom field map, and an export method confirmation.
Pipedrive configuration
We configure Pipedrive before data import begins. This includes creating custom fields that match the Daffodil CRM field inventory, setting up Pipedrive Pipelines and stages that correspond to the Daffodil CRM deal pipelines, and configuring user accounts matched to Daffodil CRM owners by email. If Daffodil CRM uses lifecycle stages or custom statuses, we create custom fields to preserve them in Pipedrive since Pipedrive's native lifecycle stage model differs from most custom CRMs.
Data extraction and transformation
We extract data from Daffodil CRM using the agreed export method (CSV, database export, or API where available). We transform the data in a staging environment, applying the custom field map, resolving relational links (contact-to-company via company name or external ID, deal-to-contact via contact name), and reformatting multi-select and date fields to match Pipedrive's import format. We chunk large exports into batches of 1,000 records per object to manage import volume and maintain relational integrity.
Sandbox migration and reconciliation
We run a full migration into a Pipedrive trial or sandbox environment using production-like data volume. The customer's team lead reconciles record counts (Organizations imported, Persons imported, Deals imported, Activities imported), spot-checks 20-30 random records against the Daffodil CRM source, and validates that contact-to-company links and deal-to-contact links resolved correctly. Any mapping corrections happen in the sandbox before production migration. Pipedrive's data import tools or API are used based on dataset size.
Production migration in dependency order
We run production migration in record-dependency order: Organizations (from Companies) first, then Persons with organization_id resolved, then Deals with person_id and organization_id resolved, then Activity history (calls, emails, meetings, tasks) via Pipedrive API with rate-limit handling and exponential backoff. Each phase emits a row-count reconciliation report before the next phase begins. The Daffodil CRM instance is set to read-only during cutover to prevent new records from creating divergence.
Cutover, validation, and workflow handoff
We freeze Daffodil CRM writes during cutover, run a final delta migration of any records modified during the migration window, then set Pipedrive as the system of record. We deliver a written inventory of any Pipedrive workflows, automation rules, or custom reporting that the customer's admin should rebuild (FlitStack AI does not rebuild automations as standard scope). We support a 72-hour hypercare window where we resolve reconciliation issues. Attachment metadata CSV is delivered separately for manual file relocation.
Platform deep dives
Daffodil CRM
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Daffodil CRM and Pipedrive.
Object compatibility
4 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
Pick a category, then your source and destination platforms.
Category
FAQ
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