CRM migration
Field-level mapping, validation, and rollback between Teamwork CRM and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Teamwork CRM
Source
Salesforce Sales Cloud
Destination
Compatibility
7 of 12
objects map 1:1 between Teamwork CRM and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Teamwork CRM to Salesforce Sales Cloud is a platform migration that resolves three structural differences upfront: the flat Contact-to-Company relationship in Teamwork becomes the Account-to-Contact hierarchy in Salesforce, Teamwork's optional Leads pipeline maps to Salesforce's dedicated Lead object, and Teamwork's activity engagements (calls, meetings, tasks) map to Salesforce Task and Event records with parent-record resolution. We extract from Teamwork's list-view API (the only export mode), respect the 120 requests-per-minute rate ceiling, and load into Salesforce via Bulk API 2.0 for records above 10,000. Teamwork's custom fields are restricted to short text, integer, and dropdown types, which map cleanly to Salesforce Text, Number, and Picklist fields; any multi-select, date, or boolean fields require a custom field pre-creation in Salesforce before migration. Workflows, automations, and saved filters from Teamwork do not migrate; we deliver a written inventory of every active workflow for the customer's admin to rebuild in Salesforce Flow. Attachments and email threads associated with Contacts cannot be moved because Teamwork CRM does not support attaching files or email threads to Contact records — a documented platform limitation we surface explicitly.
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 Salesforce Sales Cloud, 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
Salesforce Sales Cloud
Account
1:1Teamwork CRM Company records map directly to Salesforce Account. Company is the first object we extract and the first we load because every Contact in Salesforce requires an AccountId lookup. The Company name becomes Account Name, domain fields map to Website, and any billing or firmographic custom fields map to custom Account fields. We apply a dedupe key on Account Name plus Website domain during staging to catch duplicates before insert.
Teamwork CRM
Contact
Salesforce Sales Cloud
Contact
1:1Teamwork CRM Contact records map to Salesforce Contact. Each Contact requires an AccountId reference at insert time, which we resolve by matching Contact.CompanyId to the migrated Account.id in the staging layer. Standard fields (name, email, phone, address) map 1:1; custom Contact fields map by name with type verification — Teamwork text custom fields map to Salesforce Text, Teamwork integer fields to Number, and Teamwork dropdown fields to Picklist. Contacts without a valid AccountId go to a reconciliation queue.
Teamwork CRM
Lead
Salesforce Sales Cloud
Lead
1:1Teamwork CRM Lead records map to Salesforce Lead if the customer uses Teamwork's optional Leads pipeline alongside the Opportunities pipeline. Lead status, source, and any custom fields migrate directly. We do not convert Leads to Contacts during migration — that action is left for the customer's sales team post-migration so that the right owner drives the conversion in the correct Salesforce context.
Teamwork CRM
Opportunity
Salesforce Sales Cloud
Opportunity
1:1Teamwork CRM Opportunity records map to Salesforce Opportunity. Deal value maps to Amount, close date maps to CloseDate, probability maps to Probability, and stage name maps to StageName after we configure the Salesforce Sales Process to match Teamwork's stage labels. OwnerId resolves via email match against the Salesforce User table. Opportunities without an AccountId go to a reconciliation queue.
Teamwork CRM
Pipeline
Salesforce Sales Cloud
Record Type + Sales Process
lossyEach Teamwork CRM pipeline (Leads pipeline and Opportunities pipeline if both are active) becomes a Salesforce Record Type on the Opportunity or Lead object. The Sales Process is configured to whitelist only the stage values that belong to that pipeline. Stage probability percentages transfer from Teamwork to Salesforce StageProbability, rounded to the nearest integer Salesforce accepts.
Teamwork CRM
Pipeline Stage
Salesforce Sales Cloud
Opportunity Stage
lossyTeamwork CRM stage names, sort order, and custom probability weights map to Salesforce Opportunity Stage values within the configured Sales Process. Stage labels are preserved as StageName values; deprecated stages the customer has retired are flagged for the admin to archive post-migration. Any auto-prioritization rules in Teamwork are documented as a reference for Salesforce sorting logic the admin configures.
Teamwork CRM
Activity (Call, Meeting, Task)
Salesforce Sales Cloud
Task and Event
1:1Teamwork CRM activity records (calls, meetings, and tasks linked to Contacts or Opportunities) map to Salesforce Task and Event. Calls map to Task with TaskSubtype=Call; meetings map to Event with StartDateTime and EndDateTime preserved; standalone tasks map to Task with Status and ActivityDate preserved. The WhoId on Task resolves to the migrated Contact or Lead id; the WhatId resolves to the migrated Opportunity or Account id. Activity records without a resolvable parent record are attached to the Account as a fallback.
Teamwork CRM
Custom Field (text, number, dropdown)
Salesforce Sales Cloud
Custom Field (Text, Number, Picklist)
lossyTeamwork CRM custom fields support three types only — short text, integer number, and dropdown. We map these to Salesforce custom fields of equivalent type: Teamwork text becomes Salesforce Text, Teamwork integer becomes Salesforce Number, and Teamwork dropdown becomes Salesforce Picklist. Multi-select, date, and boolean custom fields do not exist in Teamwork CRM so this mapping gap does not apply here. Custom fields are created in Salesforce via metadata API before any record migration begins.
Teamwork CRM
User
Salesforce Sales Cloud
User
1:1Teamwork CRM Users (the sales team members who own records) are mapped to Salesforce Users by email address. We extract every distinct owner_id referenced across Contacts, Companies, Opportunities, and Activities. Any owner without a matching Salesforce User email goes to a reconciliation queue for the customer's admin to provision before record import resumes. Active vs inactive status mirrors Teamwork.
Teamwork CRM
Tag
Salesforce Sales Cloud
Custom Text Field or Picklist
lossyTeamwork CRM tags on Contacts and Opportunities are loose-label segmentation markers with no hierarchical structure. If the tag count is under 100 unique values, we map tags to a Salesforce multi-select picklist on the target object. If the tag count exceeds 100, we map to a custom text field and note that the customer should evaluate Salesforce Topics or a dedicated segmentation tool. The customer chooses the strategy during scoping.
Teamwork CRM
Attachment
Salesforce Sales Cloud
none
1:1Teamwork CRM does not support attaching files or email threads to Contact records. This is a documented platform limitation cited across G2 and Capterra reviews. We do not migrate file attachments associated with Contacts because the source object does not support them. If the customer has attached files stored in a separate system (Google Drive, SharePoint, Dropbox) linked to Teamwork records via URL custom fields, those URL references can be preserved in a custom text field in Salesforce.
Teamwork CRM
Custom Filter
Salesforce Sales Cloud
none (metadata reference only)
lossyTeamwork CRM saved custom filters are workspace-level configurations that do not carry business data. We capture filter definitions (field conditions, operator logic, sort order) as a JSON reference document delivered alongside the migration. Salesforce admins use this document to recreate equivalent list views and report filters in Salesforce Lightning.
| Teamwork CRM | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Company | Account1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Pipeline | Record Type + Sales Processlossy | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| Activity (Call, Meeting, Task) | Task and Event1:1 | Fully supported | |
| Custom Field (text, number, dropdown) | Custom Field (Text, Number, Picklist)lossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Tag | Custom Text Field or Picklistlossy | Fully supported | |
| Attachment | none1:1 | Fully supported | |
| Custom Filter | none (metadata reference only)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.
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
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Discovery and Teamwork tier verification
We audit the source Teamwork CRM portal across tier (Pro or Enterprise), active pipelines, configured stages, custom fields and their types, user count, engagement volume, and any active workflows or saved filters. We verify that the Teamwork API credentials have read access and check the list-view column configuration the customer has set. The discovery output is a written migration scope that specifies extraction strategy (list-view CSV plus API supplement), record-dependency graph, and a Salesforce edition recommendation (Professional at $25/user covers most migrations; Enterprise at $165/user is required if the customer needs record-triggered Flow at scale or advanced forecasting).
Salesforce schema pre-creation
We create the Salesforce destination schema before any data moves. This includes provisioning custom fields on Account, Contact, Lead, and Opportunity (matching Teamwork field names and types), configuring Record Types and Sales Processes per Teamwork pipeline, creating custom objects if applicable, and setting up the migration user with the required Bulk API permission set and field-level security grants. We also coordinate with the Salesforce admin to identify and temporarily bypass validation rules that would block bulk import, or to extend them with a migration-context check. Schema is deployed to a Salesforce Sandbox first for validation against a sample record set.
Extraction with rate-limit management
We extract from Teamwork CRM via the list-view export combined with API calls for fields not exposed in the default column set. Our extraction engine monitors the X-Rate-Limit-Remaining header against the 120 requests-per-minute ceiling and backs off to a single-threaded crawl when approaching the limit. For large datasets (10,000+ records) this extends extraction time but prevents 429 errors and data truncation mid-run. We capture the active list-view column configuration before extraction to ensure we extract the fields the customer has configured, not the default view.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-like data volume. The customer's RevOps lead reconciles record counts (Accounts in, Contacts in, Leads in, Opportunities in, Activities in), spot-checks 25-50 random records against the Teamwork source, and signs off the schema and mapping before production migration begins. Any field-mapping corrections, parent-resolution gaps, or validation-rule conflicts surface here. This step prevents corrections from running in production, which would require a second migration pass.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Teamwork Companies first), Contacts (with AccountId resolved from staging), Leads (with the optional pipeline assignment), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Activities (Tasks, Events via Bulk API 2.0 with parent-record WhoId and WhatId resolution), Custom Fields (mapped by type), Tags (as Picklist or Text depending on strategy), and Custom Objects (last, because they often have lookups to standard objects already migrated). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation rebuild handoff
We freeze Teamwork CRM writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the Workflow and Filter inventory document to the customer's admin team with recommended Salesforce Flow equivalents. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's sales team. We do not rebuild Teamwork workflows as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Teamwork CRM
Source
Strengths
Weaknesses
Salesforce Sales Cloud
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 Salesforce Sales Cloud.
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.
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FAQ
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