Migrating to a new CRM like HubSpot can revolutionize your business workflows—if done correctly. But the most critical step in ensuring a seamless migration is often overlooked: data preparation.
Data that isn’t cleaned, structured, and validated can lead to errors, inefficiencies, and lost opportunities. In fact, a report by Gartner states that poor data quality costs companies up to $12.9 million annually.
This guide walks you through everything you need to know about preparing your data for migration to HubSpot CRM. Whether you’re upgrading from a legacy CRM or consolidating systems, following these steps will set you up for success.
Data preparation might seem tedious, but it’s the foundation of a successful migration. Without clean and structured data, even the most advanced CRM system like HubSpot can’t function optimally. Skipping this step leads to duplicate contacts, outdated leads, and unreliable reports.
Clean data improves email campaign response rates by 23%. (Experian)
Example:
Poor data costs U.S. businesses $3.1 trillion annually through lost productivity and flawed decisions. (Harvard Business Review) Preparing your data ensures HubSpot becomes a tool for growth, not frustration.
Before preparing your data, you must evaluate its current state. Think of it as Marie Kondo-ing your database: identifying what’s useful and letting go of what isn’t.
Run an audit report using your current CRM’s built-in analytics tools (e.g., Salesforce). Focus on identifying the most problematic data types.
Clean data ensures that only relevant, accurate, and actionable information is migrated to HubSpot.
Create a style guide for your team detailing standard formats for key fields (e.g., date format: YYYY-MM-DD). This ensures consistency in future data entries.
HubSpot requires data to be formatted and organized in specific ways for a seamless import.
1. Map Fields from Old CRM to HubSpot:
Identify the corresponding fields in HubSpot for your existing CRM data.
2. Categorize Data into Separate Files:
Export and save data as separate CSV files for:
Step 4: Validate Your Data Before Migration
Validating your data ensures that it’s accurate, complete, and ready for HubSpot.
Run a test migration with 100–200 records to identify issues before importing the full dataset. Use HubSpot’s import logs to spot errors or skipped fields.
Even with the best intentions, CRM migrations often stumble due to avoidable mistakes. These pitfalls can lead to disorganized data, frustrated teams, and wasted time. Here are three of the most common challenges and how to address them effectively:
One of the most common mistakes is importing everything—every old contact, deal, and activity—into HubSpot without questioning its value. While it may feel safer to bring all historical data into your new system, irrelevant data can clutter your CRM, overwhelm your team, and hinder productivity.
How to Avoid This Pitfall:
Field mapping is the process of aligning your current CRM’s data fields with HubSpot’s properties (e.g., "Contact Name" to "First Name/Last Name"). Skipping this step—or failing to document it—can create confusion post-migration. Your team may struggle to locate information, or critical data may end up in the wrong fields.
How to Avoid This Pitfall:
Pro Tip: Use HubSpot’s Import Tool to preview mappings before finalizing the import.
Data associations—like linking deals to the correct contacts or companies—are crucial for maintaining context in your CRM. If these associations are ignored during migration, you risk creating "orphaned records," where deals are disconnected from their relevant contacts or companies. This not only affects team productivity but also disrupts reporting and pipeline management.
How to Avoid This Pitfall:
By addressing these common mistakes, you’ll:
Avoiding these pitfalls doesn’t just make your migration smoother; it ensures HubSpot becomes a tool for growth rather than an organizational headache.
Migrating to HubSpot is just the first step. Maintaining data hygiene is an ongoing process that ensures your CRM remains a valuable asset rather than a liability. Clean, consistent data drives effective workflows, improves reporting accuracy, and supports better decision-making. Here are the best practices to maintain data quality post-migration:
Regularly review your database to catch errors like duplicate records, outdated entries, or missing fields. These audits ensure that your CRM stays relevant and actionable over time.
How to Perform Monthly Data Audits:
HubSpot provides a powerful deduplication tool that can automatically detect and merge duplicate contacts or companies. Use this feature regularly to keep your data clean.
Steps to Use HubSpot’s Deduplication Tool:
Pro Tip: Schedule quarterly reviews using this tool to stay on top of duplicates created by user errors or integrations with external apps.
Consistency starts with how data is entered into your CRM. Standardized data entry ensures that records remain clean and usable, regardless of who adds the information.
How to Develop Data Entry Guidelines:
Example of a Standardization Rule:
Pro Tip: Use HubSpot’s Workflows to automate updates and corrections to incoming data (e.g., standardizing date formats or correcting capitalization errors).
Regularly track how your team uses HubSpot to identify and address any inconsistencies in data entry or workflow processes.
What to Monitor:
Action Tip: Use HubSpot’s dashboards to create a Data Hygiene Scorecard for your team, with metrics like:
Clean data isn’t just about organization—it directly impacts your business outcomes. For example:
Maintaining data hygiene may require ongoing effort, but it ensures your CRM remains a powerful tool for growth, collaboration, and efficiency.
Properly preparing your data is the cornerstone of a successful HubSpot CRM migration. By auditing, cleaning, structuring, and validating your data, you’ll set your business up for streamlined workflows, accurate reporting, and better decision-making.
Data preparation might take time, but it’s a small price to pay for the efficiency and insights HubSpot can deliver when working with clean, reliable data.
Ready to get started for seamless and error-free migration?