CRM migration
Field-level mapping, validation, and rollback between Teamwork CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Teamwork CRM
Source
Pipedrive
Destination
Compatibility
9 of 12
objects map 1:1 between Teamwork CRM and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Teamwork CRM to Pipedrive is a pipeline-centric migration that requires upfront Pipedrive workspace configuration before any records load. Teamwork CRM holds Companies as the account-level root object, with Contacts linked one-to-many below them and Deals living in configurable pipelines. Pipedrive uses Organizations, People, and Deals as its primary objects, with pipelines defined in the workspace before Import2 or API-based import can succeed. We extract from Teamwork's list view API (the only export method available), sequence Companies first to establish the Organization hierarchy, then Contacts with their Company lookups resolved, then Deals with pipeline and stage assignments preserved. Custom fields migrate as typed Pipedrive custom fields but Teamwork's restriction to short text, integer, and dropdown means multi-select, date, and boolean custom fields cannot migrate directly and require manual rebuild in Pipedrive. Activities (calls, meetings, tasks) migrate as Task records with the appropriate subtype set. We do not migrate Teamwork automations, sequences, or custom filters as code; we deliver a written inventory for the customer's admin to rebuild in Pipedrive.
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 Teamwork 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.
Teamwork CRM
Company
Pipedrive
Organization
1:1Teamwork CRM Company records map to Pipedrive Organization. The Company name, domain/website, phone, address, industry, employee count, and annual revenue fields migrate 1:1. We sequence Organizations as the first object in the migration run because every Contact record requires an Organization lookup (Pipedrive's person-record model links People to Organizations via the org_id field). If a Teamwork CRM Company has no contacts, we still create an Organization to preserve the firmographic data.
Teamwork CRM
Contact
Pipedrive
Person
1:1Teamwork CRM Contact records map to Pipedrive People. Standard fields (name, email, phone, address) migrate 1:1. Each Contact's company_id resolves to the Organization record created in the previous step. Custom Contact fields migrate to Pipedrive custom Person fields of matching type where possible. Note: Teamwork CRM does not support attaching files or email threads to Contact records natively, so no attachment migration is required or possible from this object.
Teamwork CRM
Opportunity
Pipedrive
Deal
1:1Teamwork CRM Opportunities map to Pipedrive Deals. Deal name, value, probability, stage, expected close date, owner, and associated Contact and Company links migrate directly. The pipeline and stage names from Teamwork CRM map to Pipedrive pipelines and stages that we configure in the destination workspace before Deals load. If a Teamwork CRM customer uses the separate Leads pipeline alongside Opportunities, Leads map to Pipedrive Leads (a separate object type) and the customer's Pipedrive admin decides whether to run parallel Pipedrive pipelines or consolidate into a single deal pipeline.
Teamwork CRM
Lead
Pipedrive
Lead
1:1Teamwork CRM Leads (early-stage prospects before qualification) map to Pipedrive Leads. If the customer runs both Leads and Opportunities pipelines simultaneously in Teamwork CRM, we preserve both as separate Pipedrive pipelines or consolidate them into a single deal pipeline per the customer's preference during scoping. Pipedrive requires pipelines and stages to exist before the Import2 tool or API can import Deals and Leads; we configure these as a prerequisite step before any record migration begins.
Teamwork CRM
Pipeline Stage
Pipedrive
Stage
lossyEach Teamwork CRM pipeline's stages map to Pipedrive Stage records within the corresponding Pipeline. We capture stage order, probability percentage, and stage name. Probability values migrate to Pipedrive stage probability fields with rounding to integer values. Pipedrive stages are tied to a Pipeline; we create Pipedrive Pipelines first, then populate the stage definitions before any deal or lead records load.
Teamwork CRM
Pipeline
Pipedrive
Pipeline
lossyTeamwork CRM's named pipelines (Leads pipeline and Opportunities pipeline) map to Pipedrive Pipelines. Multiple pipelines from Teamwork CRM become multiple Pipedrive Pipelines, each with its own stage sequence. If Teamwork CRM has auto-prioritization enabled on a pipeline, we document this as a Pipedrive Workflow automation for the customer's admin to rebuild post-migration.
Teamwork CRM
User
Pipedrive
User
1:1Teamwork CRM users (owners) map to Pipedrive Users by email address. We extract every distinct owner_id referenced on Contact, Company, Deal, and Engagement records and attempt email matching against the destination Pipedrive account's user table. Any owner without a matching Pipedrive User goes to a reconciliation queue; the customer's Pipedrive admin must provision the User in Pipedrive before record import resumes. Owner assignment on Deals and Contacts uses the resolved Pipedrive User ID.
Teamwork CRM
Activity: Call
Pipedrive
Task (TaskSubtype = Call)
1:1Teamwork CRM call Activities map to Pipedrive Task records with TaskSubtype set to Call. Title, description, duration, call disposition, and the associated Contact or Deal link migrate. Activity timestamps preserve as the Pipedrive Task due date and completion date. Note: Pipedrive's activity timeline shows Tasks as entries in the deal timeline, which differs from Teamwork CRM's standalone Activity log view.
Teamwork CRM
Activity: Meeting
Pipedrive
Task (TaskSubtype = Meeting)
1:1Teamwork CRM meeting Activities map to Pipedrive Task records with TaskSubtype set to Meeting. Title, description, start time, duration, location, and the associated Contact or Deal link migrate. We set the Pipedrive Task due date and assignee from the original Teamwork CRM meeting record. Recurring meetings are not supported in Pipedrive's standard import model; these are documented for manual rebuild if applicable.
Teamwork CRM
Activity: Task
Pipedrive
Task
1:1Teamwork CRM task Activities map to Pipedrive Task records with standard Task subtype. Title, description, due date, completion status, and priority migrate. Assignment migrates by resolving the Teamwork CRM owner_id to the Pipedrive User ID via the user lookup step. Recurring tasks are not migratable through API and are flagged for manual rebuild in Pipedrive.
Teamwork CRM
Custom Field (text, number, dropdown)
Pipedrive
Custom Field
1:1Teamwork CRM custom fields of type short text, integer, and dropdown migrate to Pipedrive custom fields of the equivalent type. We pre-create Pipedrive custom fields for both Organization and Person types before record import. Note: Teamwork CRM does not support multi-select, date, or boolean custom fields natively, so migrations with Teamwork CRM workarounds (such as storing dates as text) require normalization before Pipedrive import to avoid type mismatches.
Teamwork CRM
Tag
Pipedrive
Custom Field or Label
lossyTeamwork CRM tags on Contacts and Deals migrate to Pipedrive Labels (a native tag model available from the Essential tier). Tags with fewer than 50 distinct values map directly to Labels. Tags with high cardinality or those used for data classification rather than loose labeling are mapped to a Pipedrive custom field (dropdown or multi-select) at the customer's preference during scoping.
| Teamwork CRM | Pipedrive | Compatibility | |
|---|---|---|---|
| Company | Organization1:1 | Fully supported | |
| Contact | Person1:1 | Fully supported | |
| Opportunity | Deal1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Pipeline Stage | Stagelossy | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Activity: Call | Task (TaskSubtype = Call)1:1 | Fully supported | |
| Activity: Meeting | Task (TaskSubtype = Meeting)1:1 | Fully supported | |
| Activity: Task | Task1:1 | Fully supported | |
| Custom Field (text, number, dropdown) | Custom Field1:1 | Fully supported | |
| Tag | Custom Field or Labellossy | 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.
Teamwork CRM gotchas
120 req/min API rate limit during extraction
CSV export only available in list view
Known API bug with custom field value deletion
Working hours absent for legacy user profiles
SSO unavailable on Pro tier
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 Teamwork CRM audit
We audit the source Teamwork CRM account across its active pipelines, stages, record counts (Contacts, Companies, Leads, Deals), custom field definitions (field name, type, and assignment to Company/Contact/Deal), and engagement volume. We capture the list-view column configuration used for exports and flag any fields not visible in the default view. We extract the distinct owner list and begin email-matching against the destination Pipedrive account's User table. The discovery output is a written migration scope document including object counts, custom field mappings, and a list of owners requiring Pipedrive User provisioning.
Pipedrive workspace configuration
We configure Pipedrive Pipelines and Stages as the first action in the destination workspace. Each Teamwork CRM pipeline becomes a Pipedrive Pipeline with its stages created in the correct order and probability values assigned. Pipedrive custom fields for Organization, Person, and Deal are pre-created to match the source custom field names and types before any record import. If Pipedrive User accounts do not yet exist for all Teamwork CRM owners, we surface this as a prerequisite blocker and hold record migration until the customer provisions the missing Users.
Data extraction and transformation
We extract Companies from Teamwork CRM via the list-view API with the customer's full column configuration applied. Custom field values are normalized: date-as-text fields are reformatted to ISO date strings, dropdown values are validated against the defined picklist, and integer fields are confirmed as numeric. We apply deduplication logic on Company name and domain. The extraction engine monitors the 120 requests per minute rate limit and backs off to single-threaded mode when approaching the ceiling to prevent 429 errors mid-extraction.
Sandbox migration and reconciliation
We run a full migration into a Pipedrive Sandbox or trial account using production-like data volume. The customer's admin reviews 25-50 randomly selected records per object (Organization, Person, Deal, Activity) against the Teamwork CRM source, checks custom field values, verifies Owner assignments, and confirms that stage labels match the original Teamwork CRM pipeline names. Mapping corrections are captured and applied before the production migration run begins. This step prevents irreversible issues in the production account.
Production migration in dependency order
We run production migration in the correct record-dependency sequence: Organizations (from Teamwork CRM Companies) first, then People (from Contacts) with org_id resolved, then Deals and Leads (with pipeline, stage, and owner resolved), then Activity history (Tasks with subtypes and parent-record lookups to Deals and People). Custom fields are mapped during each object phase. Each phase emits a row-count reconciliation report showing records inserted, skipped, and failed before the next phase begins. Owner assignment uses the email-matched User ID from the owner reconciliation step.
Cutover, validation, and automation handoff
We freeze Teamwork CRM writes during cutover and run a final delta migration of any records modified during the migration window. We deliver the automation inventory document to the customer's Pipedrive admin, listing every Teamwork CRM automation with its trigger, conditions, actions, and recommended Pipedrive Workflow equivalent. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's team. We do not rebuild Teamwork CRM automations as Pipedrive Workflows inside the migration scope; that is a separate engagement.
Platform deep dives
Teamwork CRM
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 Teamwork CRM 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
Teamwork CRM: 120 requests per minute per organization.
Data volume sensitivity
Teamwork 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
Answers to the questions buyers ask most during Teamwork CRM to Pipedrive migration scoping. Not seeing yours? Book a call.
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