CRM migration

Migrate from Bigin by Zoho CRM to Salesforce Sales Cloud

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

Bigin by Zoho CRM logo

Bigin by Zoho CRM

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

83%

10 of 12

objects map 1:1 between Bigin by Zoho 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 Bigin by Zoho CRM to Salesforce Sales Cloud is a schema translation migration. Bigin organizes data around Pipelines containing Deals tied directly to Contacts and Companies, with no separate Lead object and no built-in marketing automation. Salesforce uses a Lead-to-Contact-to-Account hierarchy with separate Opportunity records, which means we must decide whether to create Salesforce Leads or Contacts for Bigin's contact-level data during scoping. We handle Bigin's credit-based API limits, which throttle bulk exports, and we fall back to individual API calls for Notes and Attachments that Bigin's Bulk Read endpoint cannot return. Pipeline configurations in Bigin become Salesforce Record Types and Sales Processes, which we configure before any record data moves. Workflows, automation rules, and any Zoho-specific integrations do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Salesforce Flow. Custom fields created in Bigin's Developer Console use the <topping_namespace>__<field_label> convention and map to Salesforce custom fields with the __c suffix, requiring explicit field-type validation during scoping.

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

Bigin by Zoho CRM logo

Bigin by Zoho CRM

What's pushing teams away

  • Integration ecosystem is limited to roughly 100 connectors, forcing teams with complex tool stacks to build and maintain custom API workarounds that break frequently.
  • Teams that grow beyond five users quickly hit workflow caps and missing advanced CRM features, making Zoho CRM a necessary but costly upgrade mid-adoption.
  • Field mapping during data import is complicated and unintuitive, causing frustration during initial setup and blocking clean migrations from tools like Zoho Books.
  • Absence of EU-hosted infrastructure makes Bigin non-compliant for GDPR-sensitive companies in Europe, forcing an unwilling migration.
  • No built-in marketing automation means growing companies must purchase separate Zoho products or third-party tools, fragmenting the customer data view.

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 Bigin by Zoho CRM objects map to Salesforce Sales Cloud

Each row shows how a Bigin by Zoho 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.

Bigin by Zoho CRM

Contact

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Bigin Contacts have no built-in lead-to-contact lifecycle, so we design the split rule during scoping. Bigin Contacts that represent unqualified prospects (no associated Deal, no purchase history) map to Salesforce Lead. Bigin Contacts attached to Deals or with activity history suggesting a qualified sales relationship map to Salesforce Contact tied to an Account. We preserve any Bigin custom lifecycle or status fields in a custom Salesforce field for audit and segmentation.

Bigin by Zoho CRM

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Bigin Companies (API name: Accounts) map directly to Salesforce Account. Company name becomes Account Name; website becomes Website; industry and phone migrate to equivalent fields. Account is created before Contact import so that AccountId lookup is satisfied at the moment of Contact insert. Bigin's Company-Contact linkage is preserved as Salesforce Account-Contact relationships.

Bigin by Zoho CRM

Deal

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Bigin Deals map to Salesforce Opportunity. The Bigin deal stage maps to Salesforce StageName via the corresponding Sales Process. Closed-Lost and Closed-Won dates migrate as CloseDate and StageName. Deal amount migrates to Amount. We resolve the Contact (WhoId) and Account (WhatId) references before Opportunity insert.

Bigin by Zoho CRM

Pipeline

maps to

Salesforce Sales Cloud

Record Type + Sales Process

lossy
Fully supported

Bigin Pipelines (up to 3 on Express, unlimited on Premier) become Salesforce Opportunity Record Types. Each Record Type gets a corresponding Sales Process that whitelists the exact stage values from Bigin. Stage probability percentages migrate from Bigin to Salesforce StageProbability, rounded to the nearest integer. This configuration happens in the destination org Sandbox before any record data is migrated.

Bigin by Zoho CRM

Product

maps to

Salesforce Sales Cloud

Product2

1:1
Fully supported

Bigin Products map to Salesforce Product2 records with Standard Price Book entries created during import. ProductCode migrates from Bigin's SKU field. Price book entries are activated during migration so that OpportunityLineItems can reference them.

Bigin by Zoho CRM

Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Bigin Tasks linked to Contacts, Companies, or Deals migrate to Salesforce Task with Status, Priority, ActivityDate, and subject preserved. Task assignment resolves Bigin owner email to Salesforce User ID via the User mapping. The WhatId on Task points to the migrated Account or Opportunity.

Bigin by Zoho CRM

Event

maps to

Salesforce Sales Cloud

Event

1:1
Fully supported

Bigin Events migrate to Salesforce Event with StartDateTime, EndDateTime, Subject, and Location preserved. Recurring events in Bigin are exported as individual Event records; we note any recurrence patterns for the customer admin to rebuild as Salesforce Event recurrence rules. EventRelation records link attendees to migrated Leads, Contacts, and Users.

Bigin by Zoho CRM

Call

maps to

Salesforce Sales Cloud

Task (TaskSubtype = Call)

1:1
Fully supported

Bigin Call logs migrate to Salesforce Task with TaskSubtype=Call. Call duration, disposition, and outcome migrate to custom Task fields. The WhoId on the Task points to the migrated Contact or Lead; ActivityDate preserves the original call timestamp for timeline ordering.

Bigin by Zoho CRM

Note

maps to

Salesforce Sales Cloud

Note

1:1
Fully supported

Bigin Notes migrate to Salesforce Note records. Bigin's Bulk Read API excludes Notes, so we use individual Bigin API calls per Note record, which consume credits at a higher rate. Notes are linked via ContentDocumentLink to the parent Contact, Lead, Account, or Opportunity. Large note migrations require explicit credit budgeting during scoping.

Bigin by Zoho CRM

Attachment

maps to

Salesforce Sales Cloud

ContentDocument + ContentVersion

1:1
Fully supported

Bigin Attachments migrate to Salesforce ContentDocument and ContentVersion records. Like Notes, Attachments are excluded from Bigin's Bulk Read API and require individual API calls, which consume more credits per record. We extract attachment metadata (filename, MIME type, size, record association) first, then download and re-upload files through Salesforce's Attachment or Files object. Any file size or format limits are flagged during scoping.

Bigin by Zoho CRM

Custom Field

maps to

Salesforce Sales Cloud

Custom Field (__c)

1:1
Fully supported

Bigin custom fields created via Developer Console use the <topping_namespace>__<field_label> naming convention. These map to Salesforce custom fields with the __c suffix and require explicit field-type validation during scoping (text to text, number to number, date to date, picklist to picklist). Custom fields are scoped per module in Bigin and map to the equivalent Salesforce object. We pre-create the destination custom fields before any record data loads to avoid field-missing import failures.

Bigin by Zoho CRM

User

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Bigin Users (pipeline owners) map to Salesforce User records by email match. We extract every distinct owner referenced on Deals, Contacts, Companies, Tasks, Events, and Calls and match by email against the destination Salesforce org. Users without a matching Salesforce User go to a reconciliation queue for the customer's admin to provision before record import proceeds.

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.

Bigin by Zoho CRM logo

Bigin by Zoho CRM gotchas

High

Credit-based API limits vary by plan and can throttle migrations

High

Bulk Read API excludes Notes, Attachments, Emails, and cross-module records

Medium

Import field mapping is complicated and unintuitive for users

Medium

Undo import window is limited to 30 days

Low

Free plan is single-user with a 500-record hard cap

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

  • Bigin Bulk Read API excludes Notes and Attachments

    Bigin's Bulk Read endpoint cannot export Notes or Attachments and returns only compressed ZIP files containing CSVs. For migrations with significant note or attachment volume, we must fall back to individual record API calls, which consume 1 credit per call versus 1 credit for bulk operations. We scope note and attachment counts during discovery, estimate credit budgets accordingly, and pace API calls to avoid exhausting the daily credit window (5,000 credits per 24 hours on Free, up to 100,000 on paid plans). Skipping this step mid-migration causes incomplete activity history at the destination.

  • Credit-based API throttling requires pacing strategy

    Bigin's API uses a credit system where standard GET calls consume 1 credit, heavy operations (Get Records with cvid) consume 3 credits, and Bulk Read initialization consumes 50 credits. Free plans cap at 5,000 credits per 24 hours; paid plans get 50,000 plus 250 per user (max 100,000). We monitor credit consumption continuously, pace API calls within limits, and reschedule if the daily credit window resets mid-migration. Large migrations without credit budgeting risk partial exports that omit records processed after the credit window closes.

  • Bigin has no Lead object; Salesforce Lead-Contact split requires design decision

    Bigin has no equivalent to Salesforce's Lead object. All contacts live in a single Contacts module. When migrating to Salesforce, we must decide whether each Bigin Contact becomes a Salesforce Lead or a Contact attached to an Account. We design this split rule during scoping based on whether the contact has associated Deals, activity history, or pipeline ownership. Without explicit design, all Bigin Contacts defaulting to Salesforce Leads creates a backlog of unconverted leads on day one, while defaulting to Contacts without Accounts creates orphaned records.

  • Bigin Pipelines do not automatically map to Salesforce Record Types

    Bigin Pipelines (top-level containers with sub-pipelines and stages) have no automatic equivalent in Salesforce. Salesforce requires manual configuration of Record Types and Sales Processes before Deal data can import. We pre-configure these in the destination Sandbox before migration, but any changes to Bigin pipeline structure after scoping require corresponding Salesforce schema updates. Pipeline stages also have different naming constraints in Salesforce (40-character limit on stage values) which may require truncation.

  • Bigin Workflows and automations do not migrate to Salesforce Flow

    Bigin Workflows (email alerts, field updates, task creation) are Zoho-specific automation rules that have no direct Salesforce Flow equivalent. We do not migrate them as code. We deliver a written inventory of every active Bigin Workflow with its trigger, conditions, and actions, mapped to a recommended Salesforce Flow equivalent. The customer's admin or a Salesforce partner rebuilds these post-migration. Any Bigin-specific field-update logic embedded in workflows requires explicit documentation to prevent business-rule gaps at cutover.

Migration approach

Six steps for a successful Bigin by Zoho CRM to Salesforce Sales Cloud data migration

  1. Discovery and scoping

    We audit the source Bigin account across plan tier (Free, Express, Premier), record counts per module, custom field definitions via Developer Console, pipeline count and stage names, owner assignments, and engagement volume for Notes and Attachments. We also extract Bigin's API credit allocation and estimate the pacing budget. This audit produces a written migration scope including the Lead-Contact split design, custom field mapping table, pipeline-to-Record-Type configuration plan, and a credit-consumption schedule for large note and attachment volumes.

  2. Destination schema design

    We design the Salesforce destination schema in a Sandbox org. This includes creating custom fields (with __c API names matched to Bigin custom field names), configuring Record Types and Sales Processes for each Bigin pipeline, mapping Bigin stage values to Salesforce StageName entries, and designing the Lead-Contact split logic as a transform rule in our migration engine. We also configure the necessary Salesforce profiles and permission sets for the migration user. Schema is validated in Sandbox before production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using production-like data volume. The customer's admin reviews record counts (Accounts, Contacts, Leads, Opportunities, Tasks, Events, Notes), spot-checks mapped fields against Bigin source records, and validates that pipeline-to-Record-Type assignments are correct. Any mapping corrections, schema adjustments, or stage-value truncations happen in Sandbox before production cutover. This step typically takes one to two weeks depending on the complexity of the object mapping.

  4. Owner reconciliation and User provisioning

    We extract every distinct Bigin user referenced as an owner on Deals, Contacts, Companies, Tasks, Events, and Calls and match by email against the Salesforce destination org's User table. Owners without a matching Salesforce User are held in a reconciliation queue for the customer's admin to provision. This step gates all subsequent record imports because OwnerId references must resolve at insert time in Salesforce.

  5. Production migration in dependency order

    We run production migration in record-dependency sequence: Accounts (from Bigin Companies), then Leads and Contacts (with the Lead-Contact split applied), then Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), then Products and Pricebook entries, then Tasks and Events, then Notes and Attachments (using individual API calls paced to Bigin credit limits). Each phase emits a row-count reconciliation report before the next phase begins. We monitor Bigin credit consumption throughout and pause if the daily limit approaches to preserve data integrity.

  6. Cutover, validation, and automation rebuild handoff

    We freeze writes to Bigin during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We validate record counts and spot-check 30-50 records for field-level accuracy. We deliver the Workflow and Automation inventory document mapping each Bigin Workflow to a recommended Salesforce Flow equivalent. We support a one-week hypercare window for reconciliation issues. We do not rebuild Bigin Workflows as Salesforce Flow within the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

Bigin by Zoho CRM logo

Bigin by Zoho CRM

Source

Strengths

  • Lowest entry cost of any serious CRM at $7 per user per month with a genuine free tier for solo operators.
  • Pipeline-centric design that mirrors how small sales teams actually think about their work.
  • Ready-made templates for common business types require no customization to get started.
  • Native two-way sync with full Zoho CRM lets organizations mix lightweight Bigin users with power Zoho CRM users.
  • Built-in undo import capability allows rollback of bad imports within 30 days.

Weaknesses

  • Limited third-party integrations forces reliance on custom API workarounds that require ongoing maintenance.
  • Workflow and automation caps on lower tiers create artificial barriers that push teams toward Zoho CRM upgrades.
  • No EU-hosted infrastructure makes Bigin non-compliant for GDPR-regulated businesses in Europe.
  • No marketing automation features require separate tool purchases that fragment customer data.
  • Import complexity from other Zoho products like Zoho Books requires manual field mapping work.
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 Bigin by Zoho CRM 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

    C

    Bigin by Zoho CRM: Credit-based system: 5,000 credits/24h on Free; 50,000 + (user licenses × 250) capped at 100,000/24h on Express, Premier, and Zoho One. Concurrency cap of 5 simultaneous API calls per user on Free, 10 on paid editions, with a sub-cap of 10 across resource-intensive operations..

  • Data volume sensitivity

    A

    Bigin by Zoho CRM exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Bigin by Zoho 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 Bigin by Zoho CRM to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Bigin by Zoho 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, 3,000 Deals, and no custom objects. Migrations with large note and attachment volumes (exceeding Bigin's daily credit budget), multiple Bigin pipelines requiring Salesforce Record Type and Sales Process configuration, or extensive custom field mapping move to eight to twelve weeks. The Sandbox validation step alone typically takes one to two weeks for complex object mappings.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Bigin by Zoho CRM.
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