CRM migration

Migrate from Effort to Salesforce Sales Cloud

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

Effort logo

Effort

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

91%

10 of 11

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

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Effort organizes field operations around workers, tasks, locations, and daily activity logs with a flat custom-field model and per-user pricing that caps at simple attendance and distance tracking. Salesforce Sales Cloud uses a relational model built on Account-Contact-Opportunity with standard objects, custom __c objects, lookup relationships, and record types that gate field-level access and page layouts. We extract Effort's employee, task, project, and location data via API, map it into Salesforce's standard and custom objects, resolve owners by email match, and land everything in a sequenced migration so foreign keys resolve in the right order. Custom fields on workers and tasks are mirrored as Contact __c and Task __c fields after Salesforce-side creation, preserving original labels and pick-list values. Timestamps, owner assignments, and original Effort IDs are retained as custom fields such as CreatedDate__c and Source_System_ID__c for full auditability. Automation rules, distance‑calculation logic, and location‑specific field configurations do not migrate — they require Salesforce‑native rebuilds using Flow, Validation Rules, and Apex. Our approach includes a test migration with field‑level diff, followed by a 24–48 hour delta pickup that captures any in‑flight records before final cutover.

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

Effort logo

Effort

What's pushing teams away

  • Support responsiveness is a recurring complaint — multiple Capterra reviewers report delayed responses from the Effort support team, with one citing that support needed to be more proactive.
  • Training is described as poor and insufficient — users report the platform has too many features and lacks guided customization, leaving teams to figure out configuration on their own.
  • iOS compatibility issues surface in G2 reviews as a concrete friction point, with field workers on Apple devices experiencing performance problems that hinder daily use.
  • Feature complexity without customization guidance leads teams to feel overwhelmed — one reviewer specifically noted the platform needs to tailor its features to each customer's specific needs rather than presenting everything at once.

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 Effort objects map to Salesforce Sales Cloud

Each row shows how a Effort 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.

Effort

Worker / Employee

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Effort workers map directly to Salesforce Contacts. Salesforce requires an AccountId on Contact for most workflows — workers without a primary company assignment land on a default 'Unassigned' Account record. We preserve the original Effort worker ID as Source_System_ID__c, and map the worker's active flag, role, and department to custom fields on the Contact for ongoing reporting and segmentation.

Effort

Task / Activity

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Effort tasks map to Salesforce Tasks with Subject, Status, Priority, and ActivityDate preserved. Original timestamps and Effort-assigned worker stored as custom fields. Salesforce Task supports WhatId (related-to) linking to Account or custom project objects. Custom task fields from Effort are mirrored as Task __c fields after Salesforce-side creation, and the WhatId is set to the migrated Project__c or Location__c record for full context.

Effort

Project

maps to

Salesforce Sales Cloud

Custom Object: Project__c

1:1
Fully supported

Effort projects do not map to any standard Salesforce object. We create a custom Project__c object in Salesforce with Name, Status__c, StartDate__c, EndDate__c, and assigned technician lookup. Projects link to Accounts via a lookup relationship. Any custom fields on Effort projects are added to Project__c as __c fields, and project milestones can be represented as related Task records for detailed scheduling and tracking.

Effort

Location / Service Area

maps to

Salesforce Sales Cloud

Custom Object: Location__c

1:1
Fully supported

Effort locations store address, latitude, longitude, and service-area radius. Salesforce has no native location-type object. We create Location__c with Address__c, Latitude__c, Longitude__c, and Service_Area_Radius__c as custom fields. Locations link to Account or Project via lookup. If you activate Salesforce Field Service, these coordinates can be used with the native Geolocation field on WorkOrder, enabling route planning and proximity-based assignment without additional custom code.

Effort

Attendance / Daily Log

maps to

Salesforce Sales Cloud

Task + Custom Object: Attendance_Log__c

many:1
Fully supported

Effort attendance records combine check-in time, check-out time, distance traveled, and notes. We split these into a Salesforce Task for the day's logged activity and a custom Attendance_Log__c record for the structured time-and-distance data. Both link to the Contact (worker) record.

Effort

Custom Field (on Worker)

maps to

Salesforce Sales Cloud

Contact (custom __c fields)

1:1
Fully supported

Effort inline custom fields on workers migrate as Contact custom fields with __c suffix. Each field requires Salesforce-side creation before migration loads data. Field type mapping: text → Text(255), number → Number, picklist → Picklist with value-by-value mapping. We also preserve help text, default values, and required flags from Effort, mapping them to the corresponding Salesforce field properties so that validation rules and page layout settings remain after the load.

Effort

Custom Field (on Task)

maps to

Salesforce Sales Cloud

Task (custom __c fields)

1:1
Fully supported

Effort custom fields on tasks map to Task custom fields in Salesforce. Task has fewer available field slots than custom objects — complex Effort task schemas may require a custom Task_Extension__c junction object to preserve all metadata. We also translate Effort picklist values to Salesforce picklist values, retain any required flags, and store the original Effort task ID as Source_System_ID__c for reference and delta sync.

Effort

Custom Field (on Project)

maps to

Salesforce Sales Cloud

Project__c (custom __c fields)

1:1
Fully supported

Effort project custom fields migrate to Project__c custom fields. Since Project__c is a custom object, any number of custom fields can be added without the Task object constraints. All custom field creation is planned and delivered before the migration load.

Effort

Effort User / Technician

maps to

Salesforce Sales Cloud

Salesforce User + ServiceResource

1:1
Fully supported

Effort users (technicians) map to Salesforce Users for login access and to ServiceResource records for field-service capacity and scheduling. Email match resolves Effort user to Salesforce user. ServiceResource links to the Contact (technician) record. If Salesforce Field Service is not active, ServiceResource is informational only.

Effort

Attachment / File

maps to

Salesforce Sales Cloud

Salesforce Files / ContentDocument

1:1
Fully supported

Effort file attachments on tasks, projects, or workers re-upload to Salesforce Files. Files attach to the corresponding Salesforce record via ContentDocumentLink, preserving the original file name, content type, and creation date. Salesforce file size limit is 25MB per file; files exceeding this are flagged before migration, and larger assets can be stored in a linked external repository with a reference URL stored on the record.

Effort

Effort System ID

maps to

Salesforce Sales Cloud

Source_System_ID__c (custom field on all objects)

1:1
Fully supported

Every migrated record receives a Source_System_ID__c custom field storing the original Effort record ID. This enables delta-run de-duplication, rollback reference, and cross-system audit trails without relying on Salesforce auto-assigned IDs. The field is indexed for fast querying, allowing you to match incoming Effort changes to existing Salesforce records and to generate reconciliation reports that compare source and destination data side by side.

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.

Effort logo

Effort gotchas

High

No documented public API or bulk export endpoint

Medium

iOS compatibility issues cause field data gaps

Medium

Form schema is customer-defined, not standard

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

  • Location and geo-fields require Salesforce custom fields — no native geo-type exists

    Effort stores latitude, longitude, and service-area radius directly on location records as native fields. Salesforce has no equivalent built-in geolocation field type for custom objects. We map these to custom Number fields on a custom Location__c object in Salesforce. If your team relies on Effort's native geo-calculations (radius-based task assignment, zone alerts), those calculation rules must be rebuilt as Salesforce Flow criteria or Apex triggers. The data migrates correctly; the automated logic based on that data does not. Salesforce Field Service licensing adds geolocation capability for work orders but requires separate activation.

  • Task-to-Project and Worker-to-Contact lookup sequencing must resolve in migration order

    Effort tasks reference workers and projects by internal ID. Salesforce Tasks require a ContactId (for WhoId) and optionally a WhatId linking to an Account or custom object. Projects and locations exist as custom Salesforce objects that must be migrated and assigned Salesforce IDs before tasks can reference them via lookup. We sequence the migration: Accounts → Contacts → Projects → Locations → Tasks, resolving foreign keys at each stage. Skipping this order produces null lookups and broken record relationships in Salesforce.

  • Custom field creation must happen in Salesforce before migration loads data

    Effort allows inline custom fields on workers, tasks, and projects without any schema setup. Salesforce requires custom fields to be pre-created via Setup before data can load into them via API or Data Loader. If Effort has more than 30 custom fields across objects, Salesforce-side field creation becomes a planning bottleneck. We deliver a custom field creation checklist scoped to your Effort schema before the migration load runs — Salesforce admins can pre-create fields or delegate to our team.

  • Automation rules, geofence alerts, and attendance triggers do not migrate

    Effort's routing logic, geofence‑based notifications, and attendance‑triggered workflows are platform‑native constructs that have no direct equivalent in Salesforce. These must be rebuilt using Salesforce Flow, Process Builder, or Apex. During migration, we export all Effort automation definitions as structured JSON, documenting each rule’s trigger type, conditions, and actions. The exported file serves as a rebuild checklist for your Salesforce admin, mapping each Effort rule to a corresponding Flow or Apex solution. Because the rebuild is manual, plan for dedicated admin time after the data load to design, test, and activate the new automation.

  • User-to-User email matching gates record ownership

    Effort workers and users map to Salesforce Users by email address. If an Effort user has no matching email in Salesforce, their migrated records (tasks, projects, attendance logs) land with no OwnerId or with a designated fallback owner. We flag all unmatched Effort users before migration and surface a resolution list — invite the user to Salesforce first or assign a fallback owner per record type. Records without an owner cannot be saved in Salesforce without explicit assignment.

Migration approach

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

  1. Audit Effort schema and map to Salesforce objects

    FlitStack AI reads your Effort instance via API: workers, tasks, projects, locations, attendance logs, and all inline custom fields. We produce an object map that assigns each Effort entity to a Salesforce standard or custom object, identifies required Salesforce fields (AccountId on Contact, WhoId/WhatId on Task), and flags Effort-specific constructs (geo-fields, automation rules) that require manual rebuild. This schema map is the foundation for all downstream decisions and is delivered as a structured document for your admin review.

  2. Create Salesforce custom objects and fields

    Before any data loads, your Salesforce admin (or our team acting with delegated credentials) creates the custom objects and custom __c fields identified in the schema audit. For each custom field we deliver: API name, field type, pick-list values for value-mapped fields, and field-level security visibility. This step runs in parallel with user resolution — we match Effort users to Salesforce Users by email and flag the resolution list simultaneously so no time is lost.

  3. Sequence the migration: Accounts → Contacts → Projects → Locations → Tasks

    Salesforce foreign key constraints require a specific load order. Accounts must exist before Contacts (via AccountId), and Projects and Locations must exist before Tasks can link via WhatId. We run the migration in five sequenced passes: (1) Accounts, (2) Contacts with Account lookups, (3) Projects and Locations, (4) Attendance logs linked to Contacts, (5) Tasks with WhoId and WhatId resolved. Each pass validates record counts and key integrity before the next pass begins.

  4. Run a sample migration with field-level diff

    A representative slice of 100–500 records — covering workers, tasks, a project or two, and attendance logs — migrates first into a Salesforce sandbox or scratch org. We generate a field-level diff report comparing source values against destination field values. You review the mapping for geo-fields, priority/status value maps, owner resolution, and lookup integrity. This step catches mapping errors before the full migration runs and typically requires one to two business days of review.

  5. Execute full migration with delta-pickup window

    The full migration runs against your Salesforce production org. A delta-pickup window of 24–48 hours opens at the scheduled cutover time, capturing any records created or modified in Effort during the migration run. All operations are logged to an audit trail. If reconciliation reveals mismatches, one-click rollback reverts the load. Your team continues working in Effort throughout — FlitStack AI uses scoped read access only during the cutover window.

Platform deep dives

Context on both ends of the pair

Effort logo

Effort

Source

Strengths

  • Per-user pricing model at $12/month is transparent and predictable for small teams.
  • Mobile-first field workflow tool combining attendance, location tracking, and daily reporting in one place.
  • Unlimited customizable forms without gating behind paid tiers.
  • Real-time data visibility for managers overseeing field teams.
  • DIY no-code configuration reduces reliance on external consultants.

Weaknesses

  • iOS performance issues documented in user reviews create friction for Apple-based field teams.
  • Support responsiveness lags, leaving customers without timely help when configuration issues arise.
  • No native Companies or Accounts object means customer-level data requires custom mapping work.
  • No publicly documented bulk export or API endpoint makes data extraction a manual or developer-dependent process.
  • Training and onboarding materials are insufficient, leading to a steep self-service learning curve.
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 manual workaround.

B

Overall complexity

Standard migration

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

  • Object compatibility

    B

    1 of 8 objects need a manual workaround.

  • 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

    Effort: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Effort 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 Effort to Salesforce Sales Cloud data migrations

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

Can't find your answer?

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

Book a free 30 minute consultation

Most Effort-to-Salesforce migrations complete in 1–4 weeks of active migration time for setups under 25,000 records. The planning and schema audit phase takes 3–5 business days. Salesforce custom field creation depends on your admin's availability. The migration run itself is 48–72 hours for the full load plus delta pickup. Complex setups with 500,000+ records, multiple custom objects, and ServiceResource configuration extend to 5–10 business days. Timeline risk is highest when Effort has more than 40 custom fields requiring Salesforce-side creation before data can land.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Effort.
Land in Salesforce Sales Cloud, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day