CRM migration
Field-level mapping, validation, and rollback between Fireberry and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Fireberry
Source
Pipedrive
Destination
Compatibility
7 of 11
objects map 1:1 between Fireberry and Pipedrive.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from Fireberry to Pipedrive is a structural migration, not a simple record copy. Fireberry's Component architecture lets teams build custom objects and fields without a fixed schema; Pipedrive uses a fixed People-Organization-Deal object model with custom fields on standard objects as the only extension path. We begin every engagement with a schema-discovery step against the customer's live Fireberry instance to enumerate every active Component before generating the migration manifest, preventing custom fields and custom objects from being silently dropped. We map Fireberry Contacts to Pipedrive People, Fireberry Companies to Pipedrive Organizations, and Fireberry Deals to Pipedrive Deals with stage probabilities and pipeline assignments preserved. Activities (calls, emails, meetings, tasks) migrate as notes or custom fields since Pipedrive has no native activity timeline object. Workflows and automations do not migrate as executable code; we deliver a structured inventory of every Fireberry automation with a Pipedrive automation equivalent for the customer's admin to rebuild post-migration.
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 Fireberry 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.
Fireberry
Contact
Pipedrive
Person
1:1Fireberry Contact records map 1:1 to Pipedrive Person. The standard name, email, phone, address, and owner fields transfer directly. Fireberry lifecycle stage properties map to a custom picklist field on Person since Pipedrive Person has no native lifecycle stage concept. We resolve owner assignments by email against the Pipedrive User table during import.
Fireberry
Company
Pipedrive
Organization
1:1Fireberry Company records map to Pipedrive Organization. Business details, industry classification, size, and address fields transfer directly. The Company-to-Contact relationship is preserved by maintaining Organization ID references on the Person records during import sequencing. We create Organization records before Person records so that the Organization lookup is satisfied at the moment of Person insert.
Fireberry
Deal
Pipedrive
Deal
1:1Fireberry Deals map directly to Pipedrive Deals with amount, stage, probability, expected close date, and pipeline assignment preserved. Fireberry custom fields on Deal migrate to Pipedrive custom fields on Deal. We map the dealstage property to the Pipedrive stage_id within the designated pipeline. Closed-Won and Closed-Lost reasons from Fireberry custom properties map to Pipedrive Lost Reason custom fields.
Fireberry
Pipeline and Pipeline Stages
Pipedrive
Pipeline and Stages
lossyFireberry pipelines with configurable stages map to Pipedrive pipelines. We extract pipeline names, stage names, stage ordering, and probability percentages and configure matching Pipedrive pipelines and stages. Fireberry stages with no corresponding Pipedrive stage are flagged for the customer to decide whether to create new stages or consolidate into existing ones before migration. This step requires Pipedrive Advanced tier or above for multiple pipelines; Lite is limited to one pipeline.
Fireberry
Activities (calls, emails, meetings, tasks)
Pipedrive
Notes and Files
1:1Fireberry activity records (calls, emails, meetings, tasks) do not have a native Pipedrive equivalent because Pipedrive has no activity object. We transform activities into Pipedrive Notes attached to the relevant Person, Organization, or Deal. Each Note includes the original activity type, timestamp, duration (for calls), and body content. The customer reviews the mapping strategy during scoping to determine whether they want all activities migrated or a filtered subset of the most recent ones.
Fireberry
Custom Objects (Components)
Pipedrive
Organizations + Custom Fields
1:manyPipedrive does not have native custom objects. We map Fireberry custom objects to a dedicated Organization record (created per unique custom object instance) with all custom object fields stored as custom fields on that Organization. For Fireberry custom objects that represent independent entities rather than related records, we recommend mapping them to Pipedrive Organizations and using a naming convention (e.g., ObjectName_RecordId) to distinguish them from actual business organizations. The customer chooses the strategy during schema design.
Fireberry
Custom Fields (on standard objects)
Pipedrive
Custom Fields
1:1Standard Fireberry objects carrying custom fields (Contact, Company, Deal) migrate to Pipedrive custom fields on the equivalent object. We discover all active custom fields during the schema-discovery step before migration. Picklist-type custom fields in Fireberry map to Pipedrive select or multiple-select custom fields; text and number fields map to text or number fields respectively. Formula-type custom fields require business logic review because Pipedrive does not support formula fields.
Fireberry
Owner (User)
Pipedrive
User
1:1Fireberry User records (name, email, role, team assignment) map to Pipedrive Users. We resolve owners by email match during migration. Any Fireberry Owner without a matching Pipedrive User goes to a reconciliation queue for the customer's admin to provision before record import resumes, because OwnerId is a required reference on Person, Organization, and Deal records in Pipedrive.
Fireberry
Tag
Pipedrive
Custom Field (text) or Activity
lossyFireberry tags on Contacts and Companies migrate as a comma-separated text value in a Pipedrive custom field named Tags. Pipedrive has no native tag object on Person or Organization, so the tag list is stored as a read-only or manually-editable text field. The customer chooses whether to use a text field or suppress tag migration during scoping.
Fireberry
Attachment
Pipedrive
File (linked reference)
1:1File attachments stored in Fireberry export as download references or file blobs. We preserve attachment URLs in a Pipedrive custom field or Note on the parent record. Any attachments hosted internally by Fireberry require re-upload to Pipedrive's file storage because Fireberry's internal hosting does not persist after account closure. We document every attachment reference and the parent record it belongs to so the customer can re-upload manually or via the Pipedrive Files API.
Fireberry
Workflow and Automation (Component-based)
Pipedrive
Workflow (documented for rebuild)
lossyFireberry automations are Component-based trigger-action pairs (time-based, event-based, or URL-call) stored as configuration that cannot be exported as reusable definitions. We capture each workflow's trigger, conditions, and actions as a structured record during migration scoping and deliver a written inventory mapping each Fireberry automation to a Pipedrive Workflow equivalent (or flagging that no direct Pipedrive equivalent exists). The customer's Pipedrive admin rebuilds the automations in Pipedrive's Workflow editor post-migration. This applies to Pipedrive Advanced tier and above.
| Fireberry | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline and Pipeline Stages | Pipeline and Stageslossy | Fully supported | |
| Activities (calls, emails, meetings, tasks) | Notes and Files1:1 | Fully supported | |
| Custom Objects (Components) | Organizations + Custom Fields1:many | Fully supported | |
| Custom Fields (on standard objects) | Custom Fields1:1 | Mapping required | |
| Owner (User) | User1:1 | Fully supported | |
| Tag | Custom Field (text) or Activitylossy | Fully supported | |
| Attachment | File (linked reference)1:1 | Fully supported | |
| Workflow and Automation (Component-based) | Workflow (documented for rebuild)lossy | 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.
Fireberry gotchas
Free plan caps at 3 Projects and 100+ Components
Custom Objects and Components require explicit schema discovery
Workflow automations do not export as reusable definitions
Billing cycle determines the migration window
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 schema enumeration
We audit the source Fireberry instance across record counts per object, pipeline count and stage definitions, active Components and custom fields, user count and owner assignments, and activity volume. Because Fireberry does not publicly document its API, we request temporary API access credentials from the customer to run the schema discovery. The discovery output is a written migration scope covering object inventory, custom field inventory, pipeline mapping plan, and a Pipedrive edition recommendation (Lite for single-pipeline migrations, Advanced for multi-pipeline and automation work).
Schema design and Pipedrive configuration
We configure Pipedrive before any data moves: custom fields on Person, Organization, and Deal are created to match discovered Fireberry custom fields; Pipedrive pipelines and stages are configured with names and probability percentages matching Fireberry; owner emails are provisioned as Pipedrive Users. If Pipedrive Advanced or above is required for multiple pipelines, we confirm the tier decision with the customer before provisioning. Pipedrive is configured in a staging account first for review and sign-off before production setup begins.
Data profiling and deduplication
We profile the exported Fireberry data for duplicates, missing required fields, and inconsistent date formats. Duplicate Person records (same email address) are flagged for the customer to resolve before import; Pipedrive uses email as the dedupe key for People and will reject or duplicate records with matching emails. Date fields are normalized to ISO 8601 format. Any records with missing owner email references are flagged with a recommendation to assign them before migration so that OwnerId resolution succeeds at import time.
Test migration and reconciliation
We run a full migration into the staging Pipedrive account using production-like data volume. The customer reconciles record counts (Persons in, Organizations in, Deals in), spot-checks 25-50 random records against the Fireberry source, and validates that custom fields are populated and pipeline assignments are correct. Pipeline stage ordering is verified against the original Fireberry pipeline. The customer signs off on the staging result before production migration begins. Any mapping corrections are made at this stage, not in production.
Production migration in dependency order
We run production migration in record-dependency order: Pipedrive account setup and User provisioning first (manual, validated), then Organizations (from Fireberry Companies), then Persons (with Organization ID resolved from the Organization import), then Deals (with Person ID, Organization ID, Owner ID, and Pipeline stage resolved), then Activity history transformed to Notes, then Custom Object data mapped to Organizations with custom fields. Each phase emits a row-count reconciliation report before the next phase begins. We use Pipedrive's REST API with rate-limit handling and batch chunking throughout.
Cutover, validation, and automation handoff
We freeze writes to Fireberry during cutover, run a final delta migration of any records modified during the migration window, then enable Pipedrive as the system of record. We deliver the workflow and automation inventory document to the customer's Pipedrive admin for rebuild. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team in the first five business days after go-live. We do not rebuild Fireberry automations as Pipedrive Workflows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Fireberry
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 Fireberry 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
Fireberry: Not publicly documented.
Data volume sensitivity
Fireberry 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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FAQ
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