CRM migration
Field-level mapping, validation, and rollback between Fergus and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Fergus
Source
Pipedrive
Destination
Compatibility
10 of 11
objects map 1:1 between Fergus and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
Fergus is a job-management and quoting platform for trade businesses — its core objects are Customers, Sites, Jobs, Quotes, and Invoices, with pricing tiers and custom properties attached to each. Pipedrive is a sales CRM built around People, Organizations, Deals, Activities, and Leads — it has no native field-service management object, so Fergus data requires a deliberate schema translation. FlitStack AI pulls the full Fergus object graph via the Fergus REST API, maps jobs to Deals with a custom Job_Type__c field, quotes to Deals with Quote_Estimate__c set to true, customers to People and their primary companies to Organizations, and line items serialized into a custom Line_Items_JSON__c field on each Deal. Sites and assets that have no Pipedrive equivalent become custom fields on Person records. We surface Fergus automations and pricing-tier rules as an export document so your Pipedrive admin can rebuild those in Pipedrive's automation system. The migration uses adaptive throttling against Fergus's 100 requests-per-minute API rate limit, runs a field-level diff against Pipedrive before committing, and captures a delta pickup window during cutover so any in-flight job updates land in Pipedrive at go-live.
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 Fergus 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.
Fergus
Customer
Pipedrive
Person
1:1Fergus customers map directly to Pipedrive People. The primary site address, contact phone, and email transfer as standard Pipedrive fields. A custom Site_Address__c field captures the full site address when it differs from the billing contact address. This ensures all location data is available in Pipedrive for scheduling and follow‑up.
Fergus
Customer Company
Pipedrive
Organization
1:1Fergus customer company records map to Pipedrive Organizations. If the customer is an individual without a company, the Organization is created from the customer name and linked to the Person record. This approach maintains a clean organization hierarchy and supports reporting by company across Pipedrive's dashboards.
Fergus
Site
Pipedrive
Custom field on Person
1:1Fergus sites carry an address, site name, and asset list with no Pipedrive equivalent. We create a Site_Name__c and Site_Address__c custom field on Person and link the most‑recently visited site to each contact. This preserves site context for field visits and enables staff to quickly locate service locations during scheduling.
Fergus
Asset
Pipedrive
Custom field on Person
1:1Fergus assets (equipment linked to a site) have no Pipedrive native object. We serialize the asset list — model, serial number, last service date — into a custom Assets_JSON__c field on the Person record for reference. This allows technicians to view equipment history without leaving the CRM interface.
Fergus
Job
Pipedrive
Deal
1:1Fergus jobs are converted to Pipedrive Deals with a custom Job_Type__c field set to 'Job'. Job status (pending, in-progress, completed) maps to Pipedrive stage values within a 'Field Service' pipeline. This mapping preserves the original job timeline and allows your team to track job progress directly in Pipedrive's pipeline view.
Fergus
Quote / Estimate
Pipedrive
Deal
1:1Fergus quotes and estimates map to Pipedrive Deals with a custom Job_Type__c field set to 'Quote' and a Quote_Valid_Until__c custom date field. Fergus approval status on quotes becomes a custom Quote_Status__c field. This ensures quote validity dates and approval stages are visible directly within Pipedrive for timely follow‑up.
Fergus
Line Item (materials + labor)
Pipedrive
Custom field on Deal (Line_Items_JSON__c)
many:1Fergus line items are serialized into a Line_Items_JSON__c custom field on the Deal. Each line includes description, quantity, unit price, and line total. Products in Pipedrive are optionally created from line items if the quote has recurring service items. This preserves detailed pricing structure in Pipedrive.
Fergus
Pricing Tier
Pipedrive
Custom field on Deal (Pricing_Tier__c)
1:1Fergus pricing tiers assigned to customers carry negotiated rates that don't exist in Pipedrive natively. We preserve the tier name as a custom pick‑list field on the Deal so admins can see which pricing tier was applied at quote time.
Fergus
Employee / Technician
Pipedrive
User (assigned as Deal owner)
1:1Fergus employees who are assigned as job owners are matched by email to Pipedrive users. If no Pipedrive user exists for the email, the Deal is assigned to a fallback owner and the original technician name is stored in a custom field.
Fergus
Job Activity / Notes
Pipedrive
Activity / Note on Deal
1:1Fergus job notes and completed task logs become Pipedrive Notes attached to the Deal. Timestamps and technician name are preserved in the note body. Service history on Fergus assets is appended as a Note on the Person record. This provides a complete audit trail for each deal and person.
Fergus
Invoice
Pipedrive
Custom field on Deal (Invoice_Number__c + paid status)
1:1Fergus invoices have no Pipedrive equivalent — Pipedrive is a CRM, not an accounting system. We preserve the Fergus invoice number and paid/unpaid status as custom fields on the Deal for reconciliation reference. This lets finance teams cross‑reference billing data directly in Pipedrive without switching to another tool.
| Fergus | Pipedrive | Compatibility | |
|---|---|---|---|
| Customer | Person1:1 | Fully supported | |
| Customer Company | Organization1:1 | Fully supported | |
| Site | Custom field on Person1:1 | Fully supported | |
| Asset | Custom field on Person1:1 | Fully supported | |
| Job | Deal1:1 | Fully supported | |
| Quote / Estimate | Deal1:1 | Fully supported | |
| Line Item (materials + labor) | Custom field on Deal (Line_Items_JSON__c)many:1 | Fully supported | |
| Pricing Tier | Custom field on Deal (Pricing_Tier__c)1:1 | Fully supported | |
| Employee / Technician | User (assigned as Deal owner)1:1 | Fully supported | |
| Job Activity / Notes | Activity / Note on Deal1:1 | Fully supported | |
| Invoice | Custom field on Deal (Invoice_Number__c + paid status)1:1 | 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.
Fergus gotchas
100 req/min API rate limit constrains bulk exports
Customer pricing tier data requires explicit mapping
Quote and invoice warning badges are state-dependent
No documented public schema for custom fields
Job photos and attachments require separate file 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
Discover Fergus API and document the source schema
We authenticate against the Fergus REST API and pull the full object schema — all custom property definitions, pricing tier configurations, and relationship types (job-to-customer, quote-to-site, asset-to-site). This gives us the exact field types, pick‑list values, and required‑field constraints before we write a single mapping rule. We also count records per object type to scope the migration volume and flag any Fergus custom objects that have no plausible Pipedrive equivalent.
Map Fergus objects to Pipedrive and configure custom fields
We map Fergus Customers to Pipedrive People and their company records to Organizations. Fergus Jobs and Quotes become Pipedrive Deals with a Job_Type__c custom field to distinguish them. Sites and assets store in custom Person fields. Line items serialize into Line_Items_JSON__c on each Deal. We create all custom fields in Pipedrive before data lands and deliver a field‑mapping workbook as the source‑of‑truth for every translation decision.
Match Fergus employees and technicians to Pipedrive users by email
Fergus employees assigned as job owners are matched against Pipedrive users by email address. Any Fergus employee without a corresponding Pipedrive user is flagged before migration so your team can either invite them to Pipedrive first or assign a fallback owner. No Deal lands in Pipedrive without a valid OwnerId. We query Pipedrive's Users API for each email; if no match is found we generate a warning report. You may create a Pipedrive user for the technician or assign a fallback owner, ensuring every Deal has an OwnerId and no records are left without a responsible user after the migration.
Run a sample migration with field‑level diff
A representative slice — typically 100–300 records spanning jobs, quotes, customers, and a site or two — migrates first. We generate a field‑level diff between the Fergus JSON export and the Pipedrive API response so you can verify pricing tier mapping, line‑item serialization, site‑address population, and owner resolution before the full run commits. The diff highlights any mismatched field values, missing custom properties, or unexpected nulls that could affect data integrity after import.
Execute full migration with delta‑pickup cutover
The full data set loads into Pipedrive via the API. Fergus API rate limits are respected throughout using adaptive throttling with retry logic. During the cutover window, your team keeps working in Fergus — a delta‑pickup captures any records created or updated in the 24–48 hours after the initial run so Pipedrive reflects the final state at go‑live. Audit log captures every operation and one‑click rollback is available if reconciliation finds unexpected discrepancies.
Platform deep dives
Fergus
Source
Strengths
Weaknesses
Pipedrive
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 Fergus and Pipedrive.
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
Fergus: 100 requests per minute per company, shared across all endpoints.
Data volume sensitivity
Fergus 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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