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Salesforce data migration: a step-by-step
guide, top tools, best practices & trends

July 15, 2025

Salesforce data migration steps

A typical Salesforce migration project involves multiple phases that begin well before the actual data transfer.

1

Planning

Organize meetings with stakeholders to outline the data migration project’s goals, scope of work, and desired timelines and milestones. Based on the results, you can form the Salesforce data migration team, select the right toolkit, and establish a migration strategy. The latter should include risk mitigation measures (such as data backups), change management practices (for instance, communicating changes in user workflows to stakeholders), and user onboarding initiatives (such as employee training).

2

Data selection

Next, determine what sales, marketing, and customer data and metadata to migrate to Salesforce in line with the project’s goals and the new system’s setup. You should also identify sources for migration (legacy CRM, databases, other business apps, another Salesforce org, etc.), the data model structure (how data will be organized in objects and fields), and data types (accounts, contacts, etc.) in the target system.

3

Data mapping & extraction

Match data fields in the source system (contacts, leads, etc.) to the corresponding fields in the Salesforce objects of the target system. This will help you ensure seamless data transfer and reduce the risk of data corruption or other potential errors. Then, pull out data from the source system via data extraction tools.

4

Invalid data detection

Since legacy systems often allow the entry of invalid data and Salesforce enforces data quality at the bare minimum in data types (dates, IDs from other tables, etc.), you need to identify invalid source data early on to prevent it from causing errors during the migration.

5

Data transformation & cleaning

Transform source data into a format compatible with Salesforce data structures and perform thorough data cleaning to delete duplicates or outdated information.

6

Destination org preparation

Prepare the target Salesforce.org for data migration by setting up the necessary objects and fields. This includes creating custom fields and relationships for data that should be stored in non-standard fields.

7

Data loading

Load the extracted and transformed data to the new Salesforce environment using suitable data migration tools based on data volume and complexity.

8

Data validation

Adopt validation rules to verify migrated data integrity, data accuracy, and proper transfer, i.e., if it stays in the right format and is complete, and fix detected errors. This step also includes in-depth user acceptance testing to make sure stakeholders are satisfied with the results of the Salesforce data migration.

Real-life example of Salesforce data migration

Salesforce CRM for a US insurance buyout agency

40,000

duplicate lead profiles cleared

Salesforce CRM for a US insurance buyout agency

Within the scope of a Salesforce CRM implementation project, we transferred the data of around 80,000 leads scattered across different Excel files, mapping and cleaning the data of duplicates before the migration.

Salesforce solution for a global nonprofit

40%

reduction in CRM maintenance costs

Salesforce solution for a global nonprofit

A leading medical research and support charity partnered with Itransition to migrate from its cumbersome legacy CRM to a new Salesforce solution featuring advanced supporter management and KPI analytics capabilities.

Looking for full-cycle Salesforce data migration services?

Turn to Itransition

Best Salesforce data migration tools on the market

Companies preparing for Salesforce data migration can count on a vast selection of tools from both Salesforce and third-party service providers.

Salesforce Data Loader

A client application for bulk exporting and importing data from Salesforce.

Main features
  • An interactive user interface
  • A CLI for automated batch operations
  • A SOAP-based API for processing records
  • Drag-and-drop field mapping
  • CSV file viewer
Exported/ imported data

Imports data CSV files and from database connections and exports CSV files

Max number of records

Up to 150 million records

Best used for

Migrations of large data volumes performed by business or tech users

Pricing

Free

Limitations

Has to be downloaded

Data Import Wizard

A built-in data loading tool accessible through the Salesforce environment.

Main features
  • Support for bulk data imports
  • Deduplication capabilities
  • Triggering automations on import
  • Assigning Contacts to Campaigns
Exported/imported data

Imports CSV files

Max number of records

Up to 50,000 records

Best used for
  • Importing common standard objects
  • Aimed at business users
Pricing

Free

Limitations
  • Allows for data import only
  • Limited settings

SFDX Data Move Utility (SFDMU)

An all-in-one migration solution to move data to and from Salesforce or between Salesforce environments.

Main features
  • Simultaneous migration of multiple SObjects
  • Support for external ID fields of any type
  • ETL features, including customized values mapping
  • Built-in data anonymization
Exported/imported data

Imports and exports CSV files

Max number of records

Unlimited

Best used for

Challenging migrations involving complex data models and dependencies

Pricing

Free

Limitations

Complex configuration for non-technical users

Dataloader.io

A fully cloud-based ETL solution built on top of the MuleSoft platform and accessible without installation.

Main features
  • Task scheduling
  • Automatic mapping
  • Related objects export
  • Data encryption
Exported/imported data

Imports and exports CSV files

Max number of records
  • 10,000/month
    Free edition
  • 100,000/month
    Professional edition
  • Unlimited
    Enterprise edition
Best used for

Large-scale regular data migrations

Pricing

Freemium

Limitations
  • Outdated UI
  • Limited functionality for the free version

JitterBit’s Salesforce Data Loader

A comprehensive ETL tool for importing and exporting data from cloud or local databases.

Main features
  • Operations scheduling and automation
  • Large volume API support
  • Automatic backups to Jitterbit Cloud
  • Operation logs, queues, and history for easy administration
Exported/imported data

Imports and exports flat files and ODBC/JDBC databases

Max number of records

Unlimited

Best used for
  • Ad-hoc export/import tasks
  • Aimed at Salesforce admins
Pricing

Free

Limitations
  • Can be complicated for business users
  • Limit of 100 operations per month

Best practices for Salesforce migration

Select the data carefully

Dedicate some time to sorting out your datasets and weighing up what definitely needs to be migrated and what doesn’t. By approaching data selection prudently, companies can reduce the project’s timeline and prevent potential data migration conflicts.

Back up the data

Always create a copy of the migrated data to restore it if something goes wrong and the data is lost or corrupted.

Test migration with a dry run

Before migrating data to the production environment, perform a test run in a sandbox and verify the results to make sure that everything works as expected. Plan this operation carefully to make it easily reproducible, since you’re supposed to repeat the process at least once during the production migration or multiple times if something goes wrong.

Establish a data governance & security strategy

Managing data properly when switching to a new platform can be difficult, so a data governance strategy can simplify keeping track of data quality, reliability, and integrity before, during, and after the migration. At the same time, you also need to implement data security practices to avoid leaks as you migrate data.

Create data templates

Create data mapping documentation with the required fields and in a format (such as templates and spreadsheets) that is easy for the customer to understand, and populate it with the objects to migrate. You can also reuse such templates in the future and simplify further data migrations.

Start with a pilot project

If Salesforce is a completely new CRM system for your company, the differences between its and your legacy system’s data structure can cause conflict during migration. We recommend migrating a small amount of data to a sandbox environment to gauge the potential challenges.

Data management trends

While data integration and migration to Salesforce can pave the way for more informed decision-making and increased business profitability, only adopters with robust data management strategies and practices fully realize these benefits.

97% of Salesforce adopters collect some type of data. Yet only 24% use data to transform customer experiences. This latest group of data pioneers is outpacing their competitors thanks to effective data usage. For instance, 60% of pioneers report outperforming peers in revenue growth and 51% in profitability, while 61% achieve faster time to market.

IBM

Nearly all (97%) Salesforce users surveyed rely on expert technology partners to support their implementation initiatives in areas such as data integration.

IBM

In 2024, 47% of Salesforce users have experienced at least one data or metadata loss incident. Fortunately, data and metadata backups have become an increasingly common measure to ensure operational resilience, with adoption growing from approximately 50% to 70% over the past few years.

Gearset

44% percent of Salesforce teams surveyed said they back up their production org daily, while 18% do so weekly.

Gearset

90% of contacts stored in the average Salesforce customer's database are incomplete, and 20% of the records are useless (e.g., obsolete or duplicate records). This poor data quality costs companies an estimated $700 billion annually, or 30% of the average company’s revenue, and should be addressed via accurate data cleansing and validation.

Salesforce

Benefits of data migration to Salesforce CRM

Salesforce migration services from Itransition

Migration consulting

Our consultants can assist you throughout the Salesforce migration process and beyond, from selecting the best tools and methodologies for a seamless data transfer to providing post-migration support and user training for smooth user adoption.

End-to-end migration

Itransition’s Salesforce experts will handle your migration project from start to finish, moving data from your existing systems to a new Salesforce solution aligned with your business needs while ensuring minimal downtime and business process disruptions. We can also help you migrate from Salesforce Classic to Salesforce Lightning to access more advanced features and a revamped interface.

Performing Salesforce data migration the right way

Performing Salesforce data migration the right way

With the evergrowing popularity of Salesforce, many companies can be tempted to move from their outdated system to this comprehensive platform without realizing that bad data typically leads to poor customer relationship management regardless of the CRM tool used. Data migration aims to fuel Salesforce with high-quality data assets and thus maximize the business benefits of its adoption.

That said, a successful migration requires the right tools, practices, and expertise. As for the latter point, Itransition’s experts are ready to help you ensure a seamless transition from your legacy CRM to a more powerful Salesforce solution.

Partner with Itransition for a seamless migration to Salesforce

Contact us

FAQs

Yes, Salesforce supports data migration and provides proprietary data migration tools like Data Loader and Import Wizard free of charge even within the basic subscription plan.

Depending on the volume of data and the complexity of its preparation, a Salesforce data migration project can take from 5 days to 2 months.

The most common types of Salesforce data migration performed by businesses include:

  • Database migration
    from external databases, including SQL and NoSQL, to Salesforce
  • Software migration
    of both data and application functionality from your current CRM or other business solutions to the Salesforce ecosystem
  • Legacy migration
    from an outdated CRM platform to a more advanced and comprehensive Salesforce CRM system
  • Org migration
    from a source Salesforce instance to new one whose setup better suits your needs
  • Cloud migration
    from on-premises business applications to the cloud-based Salesforce platform

Here are the main reasons why Salesforce data migration can fail and how to prevent it:

  • Lack of proper migration planning
    Companies can fail to approach data migration responsibly, considering it a low-level and low-risk project. However, the loss of customer and business data during a botched Salesforce data migration can have harmful consequences for businesses, so such a project requires proper preparation. Thus, the bare minimum that migration teams should do when planning the project is ensure stakeholders’ buy-in, appoint a project owner, select suitable tools, and assess existing skills and tech capabilities to involve third-party specialists if needed.
  • Underestimating data complexity
    Organizations unprepared for complexity, volume, or diversity of migrated data tend to miss deadlines and are forced to extend the migration project’s timeline and budget. Thus, you should evaluate the data you intend to migrate, including data sources, structure, parent/child relationships between different objects, record types, and picklist values, and take it all into account while planning out its transfer.
  • Insufficient testing
    Having successfully executed the migration with minimal or no errors, some companies call it a day and skip testing. However, seeing no errors during the migration process does not guarantee that the system will perform as intended when there’s data in it. Therefore, you need to conduct a thorough review of the new Salesforce org to finalize the project.

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