CRM migration

Migrate from Team Tracker to Salesforce Sales Cloud

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

Team Tracker logo

Team Tracker

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

91%

10 of 11

objects map 1:1 between Team Tracker and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Team Tracker stores employee-facing productivity data: users, time entries, tasks, activity levels, screenshots, locations, and leave balances. Salesforce Sales Cloud has no native employee-monitoring equivalent — its schema centers on Account, Contact, Lead, Opportunity, and Activity objects. The migration carries everything Team Tracker stores as structured records into Salesforce's object model, using custom fields (Time_Tracker_ID__c, Activity_Level__c, Clock_In_Time__c) to preserve data that has no standard destination equivalent. The core translation challenge is re-framing Team Tracker's employee-centric records as reference data attached to Salesforce's customer-centric objects — users become Contacts when they represent external stakeholders or Salesforce Users when they are internal employees; time entries become Tasks with custom duration fields; tasks become Salesforce Tasks or Cases depending on whether they represent internal work or customer-facing deliverables. FlitStack sequences the load so foreign keys resolve correctly: Users → Contacts, then time entries linked to those Contacts, then any custom objects. Automations, alert rules, and screenshot-logic have no Salesforce equivalent and must be rebuilt as Flow rules or skipped entirely.

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

Team Tracker logo

Team Tracker

What's pushing teams away

  • Screenshot capture, app monitoring, USB blocking, and stealth mode are widely perceived as invasive in office and hybrid work settings, leading to employee pushback and adoption failures.
  • Stealth monitoring raises legal exposure in jurisdictions that require written employee consent (EU under GDPR, several US states, parts of Canada and Australia), pushing teams toward consent-first tools.
  • No publicly documented API or bulk export endpoint, making downstream integrations and large data migrations dependent on manual CSV downloads.
  • Thin independent review corpus relative to competitors like Hubstaff, Time Doctor, and Teramind, making vendor due diligence and feature validation harder.
  • Naming overlap with multiple similarly-titled products (TeamTracker, TeamTracks, TeamTracky, teamtracker.net high school sports tool) creates buyer confusion and complicates support discovery.

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 Team Tracker objects map to Salesforce Sales Cloud

Each row shows how a Team Tracker 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.

Team Tracker

User

maps to

Salesforce Sales Cloud

Contact / User

1:1
Fully supported

Team Tracker users are primarily internal employees. They map to Salesforce Users for internal ownership assignment and to Contacts if the user record also represents an external stakeholder. External-facing user records (e.g., contractors who also appear in Salesforce as Contacts) get both a UserId and a ContactId.

Team Tracker

Time Entry

maps to

Salesforce Sales Cloud

Task / Custom Time Entry Object

1:1
Fully supported

Team Tracker time entries (clock-in, clock-out, duration, idle time) have no Salesforce native equivalent. FlitStack creates a custom Time_Entry__c object with fields: Clock_In__c, Clock_Out__c, Total_Hours__c, Idle_Time_Minutes__c, and a lookup to Contact or Opportunity for billing context. This object stores one record per time entry, preserving the full temporal history for compliance reporting and client billing reconciliation.

Team Tracker

Task / Work Item

maps to

Salesforce Sales Cloud

Task / Case

1:many
Fully supported

Team Tracker tasks split based on context and stakeholder linkage: internal work items without customer attachment become Salesforce Tasks assigned to internal Users. Customer-facing deliverables linked to an Account or Opportunity become Cases when they require tracking and resolution, or Opportunity Line Items when they represent billable deliverables. Task status and priority values map to Salesforce pick-lists with value-by-value translation.

Team Tracker

Activity Level Record

maps to

Salesforce Sales Cloud

Custom Activity Log Object

1:1
Fully supported

Team Tracker's continuous app/website activity percentages store as time-series data points with timestamps. Since Salesforce has no native activity-monitoring object for employee productivity, FlitStack creates a custom Activity_Log__c object with Activity_Date__c, Activity_Level__c, and App_or_Website__c fields linked to the User's Contact record. Consider migrating daily aggregates rather than per-minute logs to control custom object record volume.

Team Tracker

Screenshot / File Attachment

maps to

Salesforce Sales Cloud

Salesforce Files / ContentDocument

1:1
Fully supported

Team Tracker screenshots download from Team Tracker storage and re-upload as Salesforce Files (ContentDocument/ContentVersion) attached to the corresponding User's Contact record or related Task/Case. File size limits apply: Salesforce default 25MB per file; larger screenshots are chunked into multiple files or skipped with a flag in the migration manifest for manual post-migration handling.

Team Tracker

Leave Record / Holiday

maps to

Salesforce Sales Cloud

Custom Leave_Record__c

1:1
Fully supported

Team Tracker leave balances, approved time-off, and holiday records have no Salesforce equivalent in the standard object model. FlitStack creates a custom Leave_Record__c object with Leave_Type__c (pick-list), Start_Date__c, End_Date__c, Status__c, and links to the User's Salesforce User record. Leave approval workflows must be rebuilt as Salesforce Flow approval processes post-migration.

Team Tracker

Department / Group

maps to

Salesforce Sales Cloud

Salesforce Group / Queue

1:1
Fully supported

Team Tracker departments and groups map to Salesforce Groups for sharing configuration and to Queues for case and task assignment routing. Department hierarchy (parent/child relationships) is preserved using Salesforce Group nesting or a custom Department__c lookup field on the User record. Queue routing requires mapping each Team Tracker department to the appropriate Salesforce Queue for case and task distribution.

Team Tracker

Custom Status / Custom Field (Professional tier)

maps to

Salesforce Sales Cloud

Custom Field __c

1:1
Fully supported

Team Tracker custom statuses and custom fields from the Professional tier require Salesforce custom field creation. Each Team Tracker custom field is assessed for Salesforce field type (Text, Picklist, Number, Date) and created before migration. Custom statuses with specific allowed values become pick-lists with value-by-value mapping; multi-select fields become Salesforce multi-select pick-lists.

Team Tracker

Overtime Record

maps to

Salesforce Sales Cloud

Custom Overtime__c field on User

1:1
Fully supported

Team Tracker overtime tracking (burst hours beyond standard shift) migrates as a custom Number field Overtime_Hours__c on the Salesforce User record. Overtime is tracked cumulatively per period, with each time entry contributing to the running total. Overtime threshold alerts and automated notification triggers do not migrate and require rebuilding as Salesforce Flow rules.

Team Tracker

Location / Geolocation Data

maps to

Salesforce Sales Cloud

Custom Geolocation__c field

1:1
Fully supported

Team Tracker captures GPS location for field employees at clock-in or throughout the workday. This data migrates as a custom Geolocation__c field (using Salesforce's compound Latitude and Longitude format) on the Contact or User record, enabling Salesforce Map integration for territory management if the org's Salesforce edition includes that feature.

Team Tracker

System ID / Internal Reference

maps to

Salesforce Sales Cloud

Source_System_ID__c custom field

1:1
Fully supported

Team Tracker's internal record IDs are stored as a text custom field Source_System_ID__c on every migrated record. This field enables traceability back to the source system, supports delta-run de-duplication by identifying which records already exist, and provides rollback support by allowing mass updates or deletion based on source system identifiers during error recovery.

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.

Team Tracker logo

Team Tracker gotchas

High

Screenshot archives are not exported via data migration

Medium

Idle-time discard settings affect reported hours

Medium

Tier-gated custom fields create schema gaps

Low

Geofence and GPS polling intervals may not map 1:1

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

  • Activity-level time-series data has no Salesforce native storage

    Team Tracker stores continuous app/website activity as time-stamped percentage values per user per interval. Salesforce has no native object for employee productivity monitoring — no Activity_Monitor__c or Usage_Log__c standard object exists. FlitStack creates a custom Activity_Log__c object with Activity_Date__c, Activity_Level__c, and App_or_Website__c fields, linked to the user's Contact record. If your Team Tracker plan includes granular per-minute activity logs, discuss whether the full time-series is needed in Salesforce or whether a daily/weekly summary suffices — summary data reduces the custom object record count significantly.

  • Custom fields require Salesforce-side schema creation before data lands

    Team Tracker Professional tier allows custom fields and custom statuses that map to no Salesforce standard fields. Each custom field in Team Tracker must be manually created in Salesforce as a custom field with the __c suffix before migration runs — otherwise the data has nowhere to land. FlitStack delivers a schema setup plan listing every Team Tracker custom field, recommended Salesforce field type (Text, Number, Picklist, Date), and pick-list values for value-mapping. Salesforce admins create these fields first; FlitStack then validates the destination schema before the migration begins.

  • Overtime and leave data require a custom object or custom fields on User

    Team Tracker's overtime tracking and leave management store data as structured date-range records per employee. Salesforce has no native HR object — leave balances, overtime hours, and holiday configurations have no standard field on the User object. FlitStack creates a custom Leave_Record__c object and an Overtime_Hours__c field on User. Leave approval workflows that exist in Team Tracker do not migrate — they must be rebuilt as Salesforce Flow rules or skipped if your org handles leave through a separate HR system.

  • Screenshot files must be re-hosted as Salesforce Files

    Team Tracker screenshots are stored at Team Tracker-controlled URLs or cloud storage. When migrating, these files are downloaded and re-uploaded to Salesforce Files (ContentDocument/ContentVersion), attached to the corresponding Contact or Task record. Salesforce's default file size limit is 25MB per file; screenshots exceeding this are flagged and either chunked or excluded from migration with a manifest. Additionally, stealth mode screenshots — captured without user awareness — require review for privacy compliance before upload to Salesforce.

  • Multi-department configurations need Salesforce Group/Queue mapping

    Team Tracker Express and Professional tiers support departments and groups with independent settings. Salesforce Groups and Queues provide equivalent routing for tasks and cases, but the mapping is not automatic. Teams with nested department hierarchies in Team Tracker need a mapping plan: parent departments → Salesforce Groups with hierarchy enabled; child departments → nested Groups or Queues. FlitStack surfaces this as a pre-migration configuration step so the Salesforce org is ready before data lands.

Migration approach

Six steps for a successful Team Tracker to Salesforce Sales Cloud data migration

  1. Audit Team Tracker data export and assess schema gaps

    FlitStack connects to Team Tracker via scoped read access and exports all records: users, time entries, tasks, activity logs, leave records, departments, screenshots, and custom fields. We generate a data inventory report showing record counts per object, custom field inventory, and file attachment sizes. The inventory is compared against Salesforce's standard object model to identify which Team Tracker objects have no Salesforce equivalent — those become custom fields, custom objects, or reference-only fields. This step establishes the scope and drives the fixed price.

  2. Create Salesforce custom fields and custom objects

    Based on the data inventory, your Salesforce admin (or FlitStack's team) creates the required schema in the destination org before any data moves. This includes: custom fields with the __c suffix for Team Tracker fields with no standard equivalent (Activity_Level__c, Clock_In__c, Total_Hours__c, Overtime_Hours__c, Source_System_ID__c, Original_Create_Date__c); a custom Leave_Record__c object for leave balances and holiday data; a custom Activity_Log__c object for productivity time-series data; and Salesforce Groups or Queues for department and group mapping. FlitStack delivers a schema setup checklist so nothing is missed before validation.

  3. Resolve owners and link time entries to Contacts

    Team Tracker user records are matched to Salesforce Users by email address. Where a Team Tracker user also represents an external contact (e.g., a contractor who appears in Salesforce as a Contact), FlitStack creates both a User record and a Contact record with a link between them. Time entries are linked to the resolved Contact or Opportunity via custom lookup fields on the Time_Entry__c object. Any Team Tracker users without a Salesforce match are flagged for your team to either create Salesforce users first or assign to a fallback owner before migration runs.

  4. Run a sample migration with field-level diff

    A representative slice migrates first — typically 100–500 records per object spanning users, time entries, tasks, activity logs, and leave records. FlitStack generates a field-level diff between the source Team Tracker export and the Salesforce destination so you can verify custom field mapping, owner resolution, and time-entry-to-contact linkage before the full run commits. Screenshot migration is spot-checked to confirm file re-hosting and Salesforce Files attachment work correctly. Any mapping errors are corrected before the full run.

  5. Execute full migration with delta-pickup and audit log

    The full migration runs against Salesforce using the Bulk API for large record sets. A delta-pickup window (typically 24–48 hours) captures any records created or modified in Team Tracker during the cutover period so Salesforce reflects Team Tracker's final state at go-live. FlitStack generates an audit log for every operation (create, update, skip, error) and supports one-click rollback if reconciliation fails. After rollback, your team can investigate the discrepancy and re-run the affected objects.

Platform deep dives

Context on both ends of the pair

Team Tracker logo

Team Tracker

Source

Strengths

  • Employee monitoring and attendance tracking in a single platform
  • Location and GPS tracking for field workers on mobile
  • Idle-time detection with configurable discard rules
  • Tiered feature access from Starter to Professional across task management
  • Department and group organization for mid-sized field teams

Weaknesses

  • Screenshots, app monitoring, and USB blocking are invasive for office workers
  • Limited review corpus makes independent evaluation difficult
  • Stealth monitoring mode raises employee consent concerns in regulated jurisdictions
  • Bulk data export and API endpoints not publicly documented
  • Product appears to share a market with multiple similarly-named tools, complicating vendor research
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. 1 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 Team Tracker and Salesforce Sales Cloud.

  • Object compatibility

    B

    1 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

    Team Tracker: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Team Tracker 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 Team Tracker to Salesforce Sales Cloud data migrations

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

Can't find your answer?

Walk through your Team Tracker to Salesforce Sales Cloud migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Team Tracker to Salesforce migrations complete in 48–72 hours of clock time for under 50,000 records. Larger setups with 200,000+ records, multiple custom objects (Activity_Log__c, Leave_Record__c), and screenshot file re-hosting extend to 5–10 days. The longest planning step is creating Salesforce custom fields for Team Tracker's custom properties before data can land — this happens in parallel with discovery and adds 1–3 days depending on custom field count.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Team Tracker.
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