CRM migration

Migrate from TeamWave to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between TeamWave and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

TeamWave logo

TeamWave

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

50%

6 of 12

objects map 1:1 between TeamWave and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from TeamWave to Salesforce is an extraction-and-reconstruction migration rather than a live-API pull. TeamWave does not publish a developer API, so all source data comes from CSV exports via the web interface, with relationships rebuilt by cross-referencing embedded foreign keys. We extract Contacts (with lifecycle stage), Companies, Deals (with pipeline and stage), Projects, Tasks, and Users, then map them into Salesforce's Account-Contact-Opportunity model with lookup resolution at insert time. Salesforce's unlimited pipelines and custom objects at Professional tier become available once the TeamWave data lands. Workflows, automations, and project management board configurations do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Salesforce Flow and a project management tool.

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

TeamWave logo

TeamWave

What's pushing teams away

  • Limited advanced customization on workflows, dashboards, and reports forces growing teams to switch to HubSpot, Pipedrive, or Zoho once their process complexity increases.
  • Reporting lacks deep analytical capabilities; teams that need cohort analysis, attribution, or BI-grade dashboards have to export to spreadsheets or move to a dedicated CRM.
  • No publicly documented API or developer portal blocks any meaningful integration with marketing automation, finance systems, or custom internal tools.
  • Thin third-party review corpus (24 reviews on G2, a handful on Capterra) and the vendor's unfunded status since 2015 raise long-term viability concerns for teams making multi-year commitments.
  • Attachments cannot be exported in bulk and the HR module is light on payroll, time-off accrual, and compliance features compared to BambooHR or Gusto, so teams outgrow it quickly on the people-operations side.

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 TeamWave objects map to Salesforce Sales Cloud

Each row shows how a TeamWave 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.

TeamWave

Contact

maps to

Salesforce Sales Cloud

Lead or Contact (split by lifecycle stage)

1:many
Fully supported

TeamWave Contacts with lifecycle_stage of subscriber, lead, or marketing-qualified lead map to Salesforce Lead. Lifecycle stage of customer, evangelist, or other post-sale stages map to Salesforce Contact tied to an Account. We compute the split at migration time using the lifecycle_stage and contact_status properties and preserve the original TeamWave lifecycle stage in a custom field tw_original_lifecycle__c on both Lead and Contact for audit and reporting continuity.

TeamWave

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

TeamWave Company records map directly to Salesforce Account. The Company name becomes Account Name; the domain field (if present) becomes Website. The company_id foreign key is retained as tw_company_id__c for reconciliation. Account is inserted before any Contact import so that the AccountId lookup is satisfied at Contact insert time. Companies without a name are flagged for the customer's admin to review before the Account batch is finalized.

TeamWave

Deal

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

TeamWave Deals map to Salesforce Opportunity. The dealstage property maps to Salesforce StageName; the linked pipeline object maps to a Salesforce Record Type and Sales Process configured before migration. Deal value, expected close date, owner, and notes migrate directly. Closed-won and closed-lost reasons from TeamWave custom properties map to Salesforce Loss Reason and custom Win Reason fields.

TeamWave

Deal Stage

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Each TeamWave deal pipeline stage becomes a Salesforce StageName entry in a Sales Process. Stage probability percentages migrate from TeamWave to Salesforce StageProbability, rounded to the nearest integer. The TeamWave pipeline-column order is preserved in the Sales Process stage order.

TeamWave

Project

maps to

Salesforce Sales Cloud

Project (custom object) or Task

lossy
Fully supported

TeamWave Projects map to a Salesforce custom object named Project__c (API name Project__c) created during schema design. Project fields (name, description, status, start date, end date, client association) migrate as Project__c fields. The client_id foreign key resolves to the Salesforce AccountId. If the customer prefers not to create a custom object, Projects migrate as Tasks with WhatId pointing to the related Account and a project_name__c custom field.

TeamWave

Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

TeamWave Tasks map to Salesforce Task. Assignee resolves via email match to Salesforce User. Due date, priority, status, and description migrate directly. Task records linked to Projects preserve the project_id foreign key as project_id__c for reconciliation against the Project__c custom object mapping. Task records without a resolved Owner are placed in a hold queue for admin provisioning.

TeamWave

User / Team Member

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

TeamWave User records (name, email, role, department) map to Salesforce User. We match by email address. Any TeamWave user referenced as an owner on Deals or Tasks without a matching Salesforce User goes to a reconciliation queue for admin provisioning before migration resumes. Department and role from TeamWave map to Salesforce Department and Title fields.

TeamWave

Calendar Event

maps to

Salesforce Sales Cloud

Event

1:1
Fully supported

TeamWave calendar events map to Salesforce Event with StartDateTime, EndDateTime, Subject, and Location preserved. Linked entity (Deal, Project, or Contact) maps to WhatId or WhoId on Event. Attendees resolve to EventRelation records pointing at the matched Users, Leads, or Contacts.

TeamWave

HR Record / Employee

maps to

Salesforce Sales Cloud

Contact or Employee (custom object)

lossy
Fully supported

TeamWave Employee records map to Salesforce Employee__c (a custom object) or to Contact records with an IsEmployee__c checkbox flag, depending on the customer's Salesforce edition and org strategy. Name, role, department, and employment status migrate as custom fields. This object is optional; we confirm the preferred strategy during scoping.

TeamWave

Custom Field

maps to

Salesforce Sales Cloud

Custom Field

lossy
Fully supported

TeamWave custom fields on Contacts, Deals, Projects, and Tasks export with their field definitions. We create equivalent custom fields in Salesforce during schema design, type-mapping to the closest Salesforce field type (text, number, date, picklist, checkbox). Fields without a direct Salesforce equivalent are flagged for the customer's admin to review and resolve.

TeamWave

Attachment Metadata

maps to

Salesforce Sales Cloud

None (manifest export)

1:1
Fully supported

TeamWave provides no bulk attachment download mechanism. We extract attachment metadata (filename, file size, linked object type, linked object ID) and produce a re-upload manifest for the customer's admin. No binary files are migrated. The manifest includes the destination object ID for each attachment so that manual re-upload targets the correct record.

TeamWave

Tag / Label

maps to

Salesforce Sales Cloud

Multi-Select Picklist

lossy
Fully supported

TeamWave contact and deal tags stored as multi-value properties migrate to Salesforce multi-select picklist fields on the corresponding object. We flatten the tag list during transformation so each tag appears as a picklist value. The customer confirms the tag strategy during scoping.

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.

TeamWave logo

TeamWave gotchas

High

No publicly documented API endpoint surface

Medium

Attachment export requires manual re-upload

Medium

Free tier enforces feature caps that affect migration scope

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

  • TeamWave has no documented public API

    All TeamWave migration work relies on CSV exports from the web UI. If the customer's data volume exceeds what the UI can export in a single batch (typically 5,000-10,000 rows per object), we script repeated UI-based export sessions and merge the results. Large datasets take significantly longer to extract than API-based migrations. We flag any export limits encountered during scoping and plan additional extraction passes before the migration timeline is finalized.

  • Attachment re-upload is manual after migration

    TeamWave provides no bulk download for files linked to Contacts, Deals, and Projects. We snapshot attachment metadata (filename, size, linked object type and ID) and hand off a re-upload manifest to the customer's admin post-migration. Any binary attachments must be re-uploaded manually in Salesforce. If the customer uses Salesforce Files or ContentWorkspace, the manifest includes the destination record ID for each file.

  • Salesforce validation rules can block imported records

    Salesforce orgs commonly enforce required field formats, conditional requireds, and picklist whitelists that the migration user must bypass during data load. We coordinate with the customer's Salesforce admin to grant the migration user Modify All Data and Bulk API permissions, and we either temporarily disable blocking validation rules during load or add a migration-context bypass check. Without this step, 5-25 percent record rejection on the first import pass is common.

  • Relationship foreign keys require multi-pass resolution

    TeamWave exports do not include Salesforce-style lookup IDs. We reconstruct relationships (Deal-to-Contact, Task-to-Project, Project-to-Company) by cross-referencing embedded foreign keys and dedupe keys (email for contacts, company name for accounts) across export files. This requires two or more pass iterations: insert parent records first, then resolve and insert child records with resolved IDs. Circular reference risks are flagged during scoping.

  • Workflows and automations do not migrate to Salesforce Flow

    TeamWave workflow rules and task triggers are a different automation model from Salesforce Flow and do not migrate as code. We deliver a written inventory of every active TeamWave automation with its trigger, conditions, actions, and a recommended Salesforce Flow equivalent. The customer's admin rebuilds them post-migration. This inventory work is scoped separately and is not included in the standard data migration deliverable.

Migration approach

Six steps for a successful TeamWave to Salesforce Sales Cloud data migration

  1. Discovery and extraction planning

    We audit the TeamWave account for record counts across Contacts, Companies, Deals, Projects, Tasks, Users, and Calendar Events. We identify custom field definitions, lifecycle stage values, pipeline stage names, and any HR module records. Since TeamWave has no API, we test CSV export limits for each object type and plan the extraction scripting approach (single export, multi-pass, or batch via UI repetition). The discovery output is a written migration scope, a TeamWave export plan, and a Salesforce edition recommendation.

  2. Schema design and Salesforce configuration

    We design the destination schema in Salesforce: custom objects (Project__c, Employee__c), custom fields on standard objects (lifecycle stage preservation, deal loss reason, attachment manifest reference), Record Types for multi-pipeline Deal scenarios, and Sales Processes mapping TeamWave stage names to Salesforce stage values. Schema deploys to a Salesforce Sandbox via metadata API for validation before production migration begins.

  3. Data extraction from TeamWave

    We extract data via TeamWave's CSV export feature. For large datasets, we script repeated UI-based export sessions and merge results. We capture all standard and custom fields per object and retain embedded foreign keys (company_id, contact_id, deal_id, project_id) for relationship reconstruction. We produce a row-count reconciliation report against the live TeamWave data before transformation begins.

  4. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-equivalent data volume. The customer's RevOps lead spot-checks 25-50 records per object against TeamWave source data, verifies relationship integrity (Contact-Account, Deal-Contact, Task-Project), and signs off before production migration. Mapping corrections and validation rule adjustments happen here.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Companies), Users (validated against Salesforce User table), Contacts (with AccountId resolved), Leads (with lifecycle stage split applied), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Projects__c (with AccountId resolved), Tasks (with OwnerId and project_id__c resolved), Events (with WhoId and WhatId resolved), and Employee__c records. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation handoff

    We freeze TeamWave writes during cutover, run a final delta migration of any records created or modified during the migration window, then enable Salesforce as the system of record. We deliver the TeamWave workflow and automation inventory document to the customer's admin team. We support a one-week hypercare window for reconciliation issues. Workflow rebuild in Salesforce Flow is a separate engagement; we do not rebuild TeamWave automations as Salesforce Flow inside the standard migration scope.

Platform deep dives

Context on both ends of the pair

TeamWave logo

TeamWave

Source

Strengths

  • Free tier available for basic CRM and task management with no per-user cost
  • Native mobile apps for iOS and Android alongside a web interface
  • Unified platform combining CRM, project management, and HR in one subscription
  • Visual deal pipeline with stage tracking and deal value reporting
  • Self-described as easy to implement without prior CRM experience

Weaknesses

  • Small G2 review sample (24 reviews) makes aggregate ratings hard to trust
  • Unfunded company since 2015 raises questions about long-term support and development
  • Public API documentation is not publicly accessible or indexed
  • Limited enterprise-grade features compared to HubSpot, Bitrix24, or monday CRM
  • India-based team may present timezone and localization gaps for non-Asia customers
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. 2 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 TeamWave and Salesforce Sales Cloud.

  • Object compatibility

    B

    2 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

    TeamWave: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your TeamWave 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 TeamWave to Salesforce Sales Cloud data migrations

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

Can't find your answer?

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Most migrations land between four and six weeks for accounts under 15,000 Contacts, 3,000 Deals, and a simple project hierarchy. Migrations with large project and task histories (over 20,000 task records), multiple custom field sets, or full automation inventory documentation move to eight to fourteen weeks because of the CSV extraction scripting, multi-pass relationship resolution, and sandbox-to-production validation cycles.

Adjacent paths

Related migrations to explore

Ready when you are

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