CRM migration
Field-level mapping, validation, and rollback between ServiceTracker and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
ServiceTracker
Source
Pipedrive
Destination
Compatibility
9 of 10
objects map 1:1 between ServiceTracker and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
ServiceTracker is a field-service management platform built around work orders, technicians, assets, and service contracts. Pipedrive is a sales CRM built around People, Organizations, Deals, and Activities. The migration requires translating ServiceTracker's flat work-order model into Pipedrive's deal-centric object graph — customers become Organizations and People, work orders become Deals, and service history becomes Activities linked to those deals. Asset records and contract data migrate as custom fields on Organizations and Deals. FlitStack AI uses ServiceTracker's REST API for export, then writes into Pipedrive via the Pipedrive API v1, respecting rate limits and token-based quotas introduced in December 2024. Automation rules, scheduling logic, and route-optimization workflows do not migrate — those require a rebuild in Pipedrive's automation engine. We deliver a sample migration with field-level diff before the full run, and a delta-pickup window captures any ServiceTracker records modified during cutover. This migration path is designed for organizations that want to unify their sales pipeline with service delivery data in a single CRM platform.
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 ServiceTracker 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.
ServiceTracker
Customer
Pipedrive
Organization + Person
1:manyServiceTracker Customer is a combined record with company details, primary contact, and billing address. FlitStack AI splits this into a Pipedrive Organization (company name, domain, industry, address fields) and a Person record (contact name, email, phone, job title) linked via the organization's ID. The primary contact becomes the Person; secondary contacts require additional Person records.
ServiceTracker
Work Order
Pipedrive
Deal + Activity
1:1ServiceTracker Work Orders have no direct Pipedrive equivalent — Pipedrive deals track revenue opportunities, not service tasks. Each work order maps to a Pipedrive Deal with the deal name derived from the work order number and customer. Activities (service visits, parts installed, sign-offs) migrate as linked Pipedrive Activities (calls, tasks, meetings) attached to the deal. Original work order status and priority move to custom fields.
ServiceTracker
Asset
Pipedrive
Custom fields on Organization
1:1ServiceTracker Assets (equipment, serial numbers, location, warranty status) have no Pipedrive native equivalent. FlitStack AI migrates asset data as custom fields on the Organization record — fields include ST_Asset_Name__c, ST_Serial_Number__c, ST_Asset_Location__c, ST_Warranty_Expiry__c, and ST_Last_Service_Date__c. Asset service history attaches as Activities to the Organization.
ServiceTracker
Contract
Pipedrive
Custom fields on Deal + Organization
1:1ServiceTracker Contracts (SLA terms, start/end dates, renewal flags) have no Pipedrive equivalent. Contract dates migrate as custom datetime fields on both the Organization (ST_Contract_Start__c, ST_Contract_End__c) and the linked Deal (ST_SLA_Tier__c, ST_Renewal_Date__c). Active contract flags are stored as custom pick-list fields. Renewal alerts require Pipedrive automation rules to be built post-migration.
ServiceTracker
Technician
Pipedrive
Pipedrive User + custom Person field
1:1ServiceTracker Technicians are internal staff not represented in Pipedrive's People/Organization model. FlitStack AI resolves technicians by email match against Pipedrive Users — matched technicians become the deal owner or get assigned via a custom ST_Technician__c field on the deal. If no Pipedrive User exists for the technician email, the assignment is stored as a custom text field and flagged for admin review.
ServiceTracker
Work Order Notes / Attachments
Pipedrive
Deal Notes + Files
1:1Work order notes migrate to Pipedrive Deal Notes (rich text preserved). File attachments (photos, signed forms, invoices) re-upload to Pipedrive Files attached to the corresponding deal. File size limits of 25MB per file apply. Inline images in notes are downloaded and re-hosted in Pipedrive's file storage.
ServiceTracker
Work Order Activity Log
Pipedrive
Activity records linked to Deal
1:1ServiceTracker's work order activity log (status changes, technician check-ins, parts added) translates to Pipedrive Activities — each log entry becomes a Task or Event with original timestamp, technician owner, and a note describing the event. Activities are linked to the deal via deal_id so the full service timeline is visible in the deal's Activity tab.
ServiceTracker
Invoice
Pipedrive
Custom fields on Deal
1:1ServiceTracker Invoices (amount, status, payment date) have no Pipedrive billing equivalent. Invoice amount may map to Deal.Amount if the work order is billable. Invoice status (paid, overdue, pending) migrates as a custom pick-list field (ST_Invoice_Status__c). Full invoice documents are stored as Pipedrive Files attached to the deal.
ServiceTracker
Location / Site
Pipedrive
Organization address fields
1:1ServiceTracker Locations (service site addresses, GPS coordinates) map to Organization address fields in Pipedrive — Street, City, State, Postal Code, Country. GPS coordinates are stored in a custom text field (ST_GPS_Coordinates__c) for reference. Multiple service sites per customer become multiple Organization records or are consolidated as address lines on the primary Organization.
ServiceTracker
Custom Objects / Custom Fields
Pipedrive
Pipedrive custom fields
1:1ServiceTracker custom fields (rate types, billing codes, client-specific attributes) require pre-creation in Pipedrive before migration. FlitStack AI creates the custom field via Pipedrive's POST /dealFields or POST /organizationFields API endpoint and captures the hash key returned. Source field values map to the new Pipedrive custom field by hash key. Pipedrive's field-type restrictions apply — if a custom field type changes after creation, the field must be recreated and data re-imported.
| ServiceTracker | Pipedrive | Compatibility | |
|---|---|---|---|
| Customer | Organization + Person1:many | Fully supported | |
| Work Order | Deal + Activity1:1 | Fully supported | |
| Asset | Custom fields on Organization1:1 | Fully supported | |
| Contract | Custom fields on Deal + Organization1:1 | Fully supported | |
| Technician | Pipedrive User + custom Person field1:1 | Fully supported | |
| Work Order Notes / Attachments | Deal Notes + Files1:1 | Fully supported | |
| Work Order Activity Log | Activity records linked to Deal1:1 | Fully supported | |
| Invoice | Custom fields on Deal1:1 | Fully supported | |
| Location / Site | Organization address fields1:1 | Fully supported | |
| Custom Objects / Custom Fields | Pipedrive custom fields1:1 | 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.
ServiceTracker gotchas
No native bulk data export API
Custom fields are not centrally documented
Offline mobile data must sync before 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
Audit ServiceTracker data model and pre-create Pipedrive custom fields
FlitStack AI exports a full schema snapshot from ServiceTracker — all standard and custom objects, field names, field types, and pick-list values. We then create all required Pipedrive custom fields (for assets, contracts, work-order details, technician assignments) via Pipedrive's API before any data moves. Each custom field's hash key is captured and stored in the mapping manifest. This step also includes resolving which ServiceTracker pipeline stages map to which Pipedrive pipeline stages and which technicians map to Pipedrive Users by email.
Export ServiceTracker data via API with full field set and timestamps
We export all ServiceTracker records — Customers, Work Orders, Assets, Contracts, Technicians, Locations, Invoices, and Activity Logs — via the ServiceTracker REST API. Exports include all standard fields, custom fields, create/update timestamps, and owner IDs. Files and attachments are downloaded to a staging bucket for re-upload to Pipedrive Files. The export runs with scoped read access — your team retains full write access to ServiceTracker throughout.
Transform and map data into Pipedrive object model
Each record type goes through transformation before writing: Customers split into Organization + Person; Work Orders become Deals with custom fields for priority, labor hours, and parts cost; Assets become custom fields on Organization; Contract dates attach to the linked Deal; Activity logs become Pipedrive Activities linked to the deal via deal_id. Technician assignments resolve by email match to Pipedrive Users or store as a custom field. Data is validated for field-type compliance at this stage — invalid values are flagged in a skip file.
Run sample migration with field-level diff and stakeholder review
A representative slice of records — typically 100–500 across Customers, Work Orders, Assets, and Activities — migrates first. We generate a field-level diff report showing source value, destination field, and destination value for every mapped field. You can verify that work-order priority values landed in the correct custom pick-list, that technician assignments resolved to the right Pipedrive User, and that deal stage mapping matches your pipeline configuration. Approval of the diff unlocks the full migration run.
Execute full migration with delta-pickup window and one-click rollback
Full migration runs in batches, respecting Pipedrive's rate limits. A delta-pickup window (24–48 hours after the main run completes) captures any ServiceTracker records modified during cutover — typically work orders in-progress or customer records updated by field technicians. All operations are logged in an audit trail. If reconciliation detects missing records or unexpected field values, one-click rollback reverts the Pipedrive data to the pre-migration snapshot. Your team continues working in ServiceTracker until go-live confirmation.
Platform deep dives
ServiceTracker
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 ServiceTracker 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
ServiceTracker: Inherits Salesforce platform API rate limits.
Data volume sensitivity
ServiceTracker exposes a bulk API — large-volume migrations stream efficiently.
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
Answers to the questions buyers ask most during ServiceTracker to Pipedrive migration scoping. Not seeing yours? Book a call.
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