CRM migration

Migrate from Teamwork CRM to Salesforce Sales Cloud

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 logo

Teamwork CRM

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

58%

7 of 12

objects map 1:1 between Teamwork CRM and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Teamwork CRM logo

Teamwork CRM

What's pushing teams away

  • Multiple Capterra and G2 reviews report that users cannot attach emails or documents directly to Contact records, forcing activity logging to happen outside the CRM.
  • The platform lacks native Office 365 integration, which creates friction for teams embedded in the Microsoft ecosystem who rely on calendar and email sync.
  • Teams outgrowing the feature set cite missing capabilities: advanced forecasting, multi-object automation, and granular role-based permissions available in HubSpot or Salesforce.
  • Larger organizations report that the per-user pricing model becomes costly as the sales team scales, prompting evaluation of flat-rate or tiered alternatives.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Teamwork CRM objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Teamwork 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

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Teamwork 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

maps to

Salesforce Sales Cloud

Lead

1:1
Fully supported

Teamwork 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

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Teamwork 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

maps to

Salesforce Sales Cloud

Record Type + Sales Process

lossy
Fully supported

Each 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

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Teamwork 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)

maps to

Salesforce Sales Cloud

Task and Event

1:1
Fully supported

Teamwork 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)

maps to

Salesforce Sales Cloud

Custom Field (Text, Number, Picklist)

lossy
Fully supported

Teamwork 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

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Teamwork 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

maps to

Salesforce Sales Cloud

Custom Text Field or Picklist

lossy
Fully supported

Teamwork 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

maps to

Salesforce Sales Cloud

none

1:1
Fully supported

Teamwork 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

maps to

Salesforce Sales Cloud

none (metadata reference only)

lossy
Fully supported

Teamwork 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.

Gotchas + challenges

What specifically takes care here

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 logo

Teamwork CRM gotchas

Medium

120 req/min API rate limit during extraction

Medium

CSV export only available in list view

Low

Known API bug with custom field value deletion

Low

Working hours absent for legacy user profiles

High

SSO unavailable on Pro tier

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Teamwork list-view-only export limits data scope

    The native export function in Teamwork CRM only exposes data in list view — board views and other layout modes do not support export. We always extract from list view and apply the customer's active column selection and filters to match their intended scope. If a customer has customized their list columns, we capture that configuration before extraction to ensure field completeness. Teams that rely on board-view-only data (Kanban-style stages visible only in board mode) may have stage assignments that require a separate API extraction pass to supplement the list-view export.

  • Salesforce field-level security and validation rules can block imports

    Salesforce orgs commonly enforce validation rules (required formats, conditional requireds, picklist value whitelists) and field-level security that the migrating user must explicitly bypass during data load. We coordinate with the customer's Salesforce admin to grant the migration user the Bulk API permission set and Modify All Data scope, and we either temporarily disable validation rules during load or extend them with a migration-context check. Skipping this step results in 5-30 percent record rejection on the first import attempt. We surface validation failures row-by-row and retry corrected records in a second pass.

  • Contact-to-Account parent resolution is required before Contact insert

    Every Salesforce Contact requires an AccountId at insert time. Teamwork CRM Contacts each belong to exactly one Company, but the Contact-to-Company relationship in Teamwork does not carry a persistent external ID that maps directly to the Account.id we generate during migration. We resolve AccountId by matching Contact.CompanyId (Teamwork's company reference) to the migrated Account's external ID in a staging table, then write the resolved AccountId before Contact insert. Contacts with no matching Company go to a reconciliation queue; Contacts belonging to archived or deleted Companies go to a designated placeholder Account.

  • Activity parent-record resolution (WhoId and WhatId) is required for every engagement

    Teamwork CRM activity records reference a Contact or Opportunity by internal ID. Salesforce Task and Event records require a WhoId (Lead or Contact) and a WhatId (Opportunity, Account, or custom object) at insert time. We resolve the WhoId by matching the activity's Contact reference to the migrated Contact's external ID, and the WhatId by matching the Opportunity or Company reference to the migrated record's external ID. Activities with broken parent references are attached to the Account as a fallback and flagged for admin review.

  • Workflows and automations do not migrate to Salesforce Flow

    Teamwork CRM workflows and automations are platform-specific configurations that do not transfer to Salesforce. The automation models differ structurally: Teamwork uses stage-triggered and field-triggered rules with built-in CRM actions, while Salesforce Flow uses record-triggered, scheduled, and screen variants. We do not migrate workflows as code. We deliver a written inventory of every active Teamwork workflow with its trigger, conditions, actions, and a recommended Salesforce Flow equivalent for the customer's admin to rebuild. Custom filters are captured as reference metadata only.

Migration approach

Six steps for a successful Teamwork CRM to Salesforce Sales Cloud data migration

  1. 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).

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Teamwork CRM logo

Teamwork CRM

Source

Strengths

  • Clean, visual pipeline interface with board and list views that sales teams adopt without dedicated training.
  • Configurable pipelines and stages are available on the standard Pro tier without feature gating.
  • Custom fields (text, number, dropdown) are available without requiring an Enterprise plan.
  • Strong bundling with Teamwork Projects and Desk creates a unified work stack for agencies and client-service firms.
  • Gmail add-on and Zapier integration provide basic email and automation connectivity on both pricing tiers.

Weaknesses

  • No native support for file or email attachments on Contact records — a frequently cited gap in G2 and Capterra reviews.
  • No Office 365 integration, limiting adoption in Microsoft-dominant enterprise environments.
  • Custom field types are restricted to short text, integer, and dropdown — multi-select, date, and boolean custom fields require workarounds.
  • Single sign-on (SSO) is gated behind the Enterprise tier, creating a security friction point for larger teams evaluating the platform.
  • API lacks a formal bulk or batch import endpoint; data migration relies on CSV list-view exports with manual column selection.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Teamwork CRM and Salesforce Sales Cloud.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Teamwork CRM: 120 requests per minute per organization.

  • Data volume sensitivity

    B

    Teamwork CRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Teamwork CRM to Salesforce Sales Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Teamwork CRM to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Teamwork CRM to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for accounts under 15,000 Contacts and 5,000 Deals with no custom objects and a clean parent-record dependency graph. Migrations with custom objects, multiple pipelines, large engagement histories (over 200,000 activity records), or Salesforce multi-org destinations move to seven to twelve weeks because of Bulk API chunking time, Salesforce Sandbox validation, custom field schema pre-creation, and Salesforce validation-rule coordination.

Adjacent paths

Related migrations to explore

Ready when you are

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Land in Salesforce Sales Cloud, intact.

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