Category: HubSpot

How to match companies by domain instead of company ID when updating HubSpot properties from spreadsheets

HubSpotYou can bulk updatecompany properties from Google Sheets without overwriting existing data by using selective property updates that only modify the fields you specify.

This guide shows you how to set up automated updates that preserve your valuable existing data while keeping your company records current.

CoefficientUpdate only specific properties using

Unlike HubSpot’s native import tool which can overwrite all company properties, Coefficient’s UPDATE action lets you choose exactly which properties to modify. This means your unmapped properties stay untouched, preventing accidental data loss during bulk updates.

How to make it work

Step 1. Set up your Google Sheets with only the properties you want to update.

Create columns for the specific HubSpot company properties you need to modify, like “Annual Revenue” and “Industry.” Include a column with company domains or IDs for matching existing records.

Step 2. Configure Coefficient’s UPDATE action with selective field mapping.

In Coefficient’s export settings, map only your Google Sheets columns to their corresponding HubSpot properties. Any company properties not mapped will remain unchanged in HubSpot.

Step 3. Add conditional export logic to control which rows get updated.

Create a “Status” column in your sheet and use Coefficient’s conditional exports to only update companies where the status equals “Updated.” This prevents unnecessary changes to unchanged records.

Step 4. Schedule automatic updates to keep data synchronized.

Set up scheduled exports to run daily, weekly, or hourly based on your needs. Coefficient will automatically push changes from Google Sheets to HubSpot without manual intervention.

Keep your HubSpot data accurate and protected

Start protecting your HubSpot dataThis selective update approach gives you complete control over which company properties get modified while preserving all your existing data.with automated, selective updates today.

  • RevOps
  • HubSpot
  • Google Sheets

    • HubSpotYes, you can map custom Google Sheets columns tocompany properties even when the field names don’t match. This flexibility is essential when your spreadsheet headers differ from HubSpot’s internal property names.

    Here’s how to connect any Google Sheets column to any HubSpot company property, regardless of naming conventions.

    CoefficientMap any column to any property using

    Coefficient provides manual field mapping that lets you connect spreadsheet columns with completely different names to their corresponding HubSpot properties. For example, you can map “Rev_2024” to HubSpot’s “Annual Revenue” or “Co_Industry” to “Industry.”

    How to make it work

    Step 1. Prepare your Google Sheets with your custom column headers.

    Use whatever column names make sense for your workflow. You don’t need to match HubSpot’s exact property names since you’ll map them manually in the next step.

    Step 2. Set up manual field mapping in Coefficient’s export configuration.

    In the mapping interface, you’ll see your Google Sheets column headers on one side and available HubSpot company properties on the other. Connect each column to its corresponding HubSpot property by selecting from the dropdown menus.

    Step 3. Map to both standard and custom HubSpot properties.

    Connect your columns to standard properties like Company Name, Domain, and Industry, or to custom properties you’ve created in HubSpot like custom dropdowns, text fields, or number fields.

    Step 4. Validate your mappings before export.

    Coefficient automatically validates field mappings and handles data type conversions. Text columns map to text properties, numbers to number properties, and formatted dates to date properties.

    Connect your data without naming restrictions

    Set up your custom field mappingsThis flexible mapping approach means you can use any column naming convention in your spreadsheets while still connecting seamlessly to HubSpot.and start syncing data with complete naming freedom.

  • RevOps
  • HubSpot
  • Excel

    • HubSpotYou can prevent duplicate company records when importing from Excel toby using UPDATE actions that match existing companies based on unique identifiers like domain names or company IDs.

    This approach updates existing company properties instead of creating duplicate records, maintaining clean data while enabling bulk updates.

    CoefficientUse UPDATE actions to prevent duplicates with

    Coefficient’s UPDATE action methodology matches existing HubSpot companies using unique identifiers and updates their properties rather than creating duplicates. This is more reliable than HubSpot’s native import which can create duplicates if matching criteria aren’t perfect.

    How to make it work

    Step 1. Choose your matching criteria in your Excel data.

    Include a column with reliable unique identifiers like company domains (most reliable for B2B companies), HubSpot Company IDs, or other unique properties specific to your business.

    Step 2. Configure Coefficient to use UPDATE instead of INSERT actions.

    In your export settings, select UPDATE action and specify which field to use for matching. Company domain is typically the most practical choice since it’s business-readable and commonly available in external systems.

    Step 3. Set up pre-import validation to identify potential conflicts.

    Before pushing Excel data to HubSpot, Coefficient validates records against existing HubSpot data to identify potential duplicates and conflicts, showing detailed error reporting for any issues.

    Step 4. Implement conditional logic for complex duplicate handling.

    Use conditional exports to create custom rules, like only updating companies where your Excel “Last Updated” date is newer than HubSpot’s “Last Modified Date.”

    Keep your HubSpot data clean and accurate

    Start preventing duplicatesThis UPDATE-based approach ensures data integrity while maximizing the efficiency of bulk operations from Excel sources.and maintain clean company data in your HubSpot CRM.

  • RevOps
  • HubSpot
  • Google Sheets

    • HubSpotWhen you updatecompany properties from Google Sheets, HubSpot’s native property history tracking is fully preserved, providing complete audit trails for all automated data changes.

    This means you maintain compliance and audit requirements while gaining the benefits of automated spreadsheet-driven updates.

    CoefficientProperty history stays intact withupdates

    Every update made through Coefficient’s scheduled exports appears in HubSpot’s property history with timestamps, showing the previous value, new value, and update source. This maintains full traceability for automated bulk operations.

    How to make it work

    Step 1. Set up your Google Sheets updates with Coefficient.

    Configure your scheduled exports to push changes from Google Sheets to HubSpot company properties. Each update will automatically be recorded in HubSpot’s property history.

    Step 2. Review property history in HubSpot to see automated changes.

    In any company record, view the property history to see both manual changes made by sales reps and automated updates from your spreadsheet workflow. Updates are attributed to the connected user account with API source notation.

    Step 3. Use conditional exports to minimize unnecessary history entries.

    Set up conditional logic to only push changes when Google Sheets values actually differ from current HubSpot values. This reduces noise in property history while maintaining accurate records.

    Step 4. Leverage history for workflow triggers and compliance.

    HubSpot workflows that trigger on company property changes continue to function normally with Coefficient updates, and all historical data remains accessible for compliance and audit requirements.

    Maintain complete audit trails with automated updates

    Start tracking your automated updatesYour HubSpot data synchronization maintains full traceability while providing automation benefits.with complete property history preservation.

  • RevOps
  • HubSpot
  • Google Sheets

    • HubSpotYou can sync only changed rows from Google Sheets tocompany properties using conditional export logic that identifies modified data and skips unchanged records.

    This selective sync approach optimizes performance, reduces API calls, and minimizes unnecessary updates to your HubSpot data.

    CoefficientUse conditional exports to sync only changes with

    Coefficient’s conditional export functionality provides precise control for processing only rows that meet specific criteria. You can sync only companies where a “Status” column equals “Updated” or where a timestamp indicates recent changes.

    How to make it work

    Step 1. Add a “Sync Status” column to identify changed rows.

    Create a column in your Google Sheets to flag rows that need syncing. Use values like “Ready to Sync” or “Updated” to mark companies that have changes requiring updates in HubSpot.

    Step 2. Set up conditional export logic in Coefficient.

    Configure your export to only process rows where the Status column equals “Ready to Sync.” Coefficient supports complex conditional logic with AND/OR operators for sophisticated change detection rules.

    Step 3. Implement timestamp-based change detection.

    Add a “Last Updated” timestamp column and use formulas to compare current values with previously synced data. Set up Coefficient to only sync companies modified after a specific date stored in a reference cell.

    Step 4. Create an automated flag reset workflow.

    After successful syncing, use a second conditional export or manual process to reset your sync flags, preventing duplicate updates on the next scheduled run.

    Optimize your HubSpot sync performance

    Start syncing only your changesThis selective sync methodology significantly reduces API call volume, processing time, and the risk of rate limiting while maintaining data freshness.for more efficient HubSpot data management.

  • RevOps
  • HubSpot
  • Excel

    • HubSpotYes, you can updatemulti-select dropdown properties from comma-separated values in Excel, though proper data formatting is essential for successful property mapping.

    This guide shows you how to format your Excel data correctly and handle validation to ensure your multi-select properties update accurately.

    CoefficientFormat comma-separated values for multi-select properties using

    Coefficient recognizes HubSpot’s multi-select dropdown properties and can process comma-separated values from Excel columns. For example, an Excel cell containing “Technology, Healthcare, Finance” can update a HubSpot “Industries” multi-select property.

    How to make it work

    Step 1. Format your Excel data with exact HubSpot option names.

    Use the exact spelling and capitalization as configured in HubSpot’s multi-select dropdown. Separate multiple values with commas and avoid extra spaces unless they’re part of the actual HubSpot option name.

    Step 2. Export current multi-select options from HubSpot for reference.

    Before importing, pull your existing HubSpot multi-select options to ensure exact matching. Create lookup tables in Excel to standardize values and prevent typos that could cause import failures.

    Step 3. Set up Coefficient’s multi-select property mapping.

    In your export configuration, map your comma-separated Excel column to the corresponding HubSpot multi-select property. Coefficient will validate that your values match the available dropdown options.

    Step 4. Test with a small dataset before full import.

    Run a test export with a few records to verify your formatting works correctly. Coefficient provides detailed error reporting showing which records failed and why, allowing you to correct Excel data before processing larger datasets.

    Ensure accurate multi-select property updates

    Start updating your multi-select propertiesThis approach enables reliable automated data import for complex HubSpot company properties while maintaining data accuracy through validation.with properly formatted Excel data today.

  • RevOps
  • HubSpot
  • Google Sheets
  • Excel

    • HubSpotYou can match companies by domain instead of company ID when updatingproperties from spreadsheets, making your data updates more practical since domains are business-readable identifiers that most systems already store.

    This approach eliminates the need to export HubSpot data just to get Company IDs for matching purposes.

    CoefficientConfigure domain-based matching with

    HubSpotCoefficient supports flexible matching criteria for updatingcompany properties, including domain-based matching which is often more practical than Company ID matching for spreadsheet workflows.

    How to make it work

    Step 1. Prepare your spreadsheet with company domain data.

    Include a column with company domains like “acmecorp.com” rather than HubSpot’s internal Company IDs. Your spreadsheet can contain domains in various formats – full domains, root domains, or subdomains.

    Step 2. Configure Coefficient’s UPDATE action to use domain matching.

    In your export settings, select the company domain field as the primary identifier. Coefficient will search HubSpot for existing companies with matching domain values before updating their properties.

    Step 3. Set up domain format standardization rules.

    Configure matching rules to handle different domain formats consistently. Coefficient can accommodate “www.company.com,” “company.com,” and “subdomain.company.com” variations through standardized comparison logic.

    Step 4. Handle unmatched domains with error reporting.

    Coefficient validates domain formats and provides detailed reporting on unmatched domains, helping you identify data quality issues. Configure whether to skip unmatched rows or create new companies based on your workflow needs.

    Streamline updates with business-friendly identifiers

    Start matching by domainThis domain-based approach streamlines bulk update operations by using natural business identifiers rather than system-generated IDs.for more intuitive HubSpot data synchronization.

    Alternative to creating duplicate Salesforce dashboards for different permission sets

    Creating duplicate Salesforce dashboards for different permission sets is inefficient and creates maintenance overhead, data inconsistency risks, and administrative burden. Each permission set variation requires separate reports and dashboard components, multiplying your asset management complexity unnecessarily.

    Here’s a superior alternative that eliminates dashboard duplication while serving multiple permission sets more effectively than native Salesforce approaches.

    Replace dashboard duplication with single-source, multi-view implementation

    CoefficientThe duplication approach suffers from maintenance overhead, data synchronization issues, storage consumption, and version control challenges.provides a superior alternative that eliminates duplication needs while delivering enhanced functionality for multi-permission set scenarios.

    This approach maintains one data source while creating appropriate views for each permission level, eliminating the maintenance burden of duplicate assets.

    How to make it work

    Step 1. Create one master data import from your primary Salesforce report.

    Import your complete dataset using Coefficient’s comprehensive field access. This becomes your single source of truth that feeds all permission-specific views, eliminating the need for duplicate Salesforce assets entirely.

    Step 2. Build permission-specific sheet tabs within the same workbook.

    Create tabs for each permission level – “Sales_Rep” showing pipeline and activity fields, “Sales_Manager” adding commission and forecast data, “Executive” including profitability and strategic metrics. Each tab pulls appropriate field sets from the single source.

    Step 3. Configure automated refreshes to synchronize all views from one source.

    Set up scheduled refreshes that update all permission-specific views simultaneously from your single Salesforce source. Choose hourly updates for active teams, daily for management reporting, ensuring all views stay synchronized automatically.

    Step 4. Apply granular sharing controls using spreadsheet permissions.

    Use Google Sheets or Excel sharing settings to match your Salesforce permission set structure. Each user group gets access only to their appropriate tab while you maintain just one data import and refresh schedule.

    Step 5. Implement advanced features impossible with duplicate dashboards.

    Add dynamic filtering using cell references for user-specific views, append new data functionality for historical records across all permission levels, scheduled snapshots for time-based analysis, and conditional exports back to Salesforce maintaining permission boundaries.

    Eliminate duplicate dashboard maintenance forever

    Try this alternativeThis alternative eliminates duplicate dashboard maintenance while providing superior flexibility and functionality for multi-permission set scenarios. You maintain one source, reduce administrative overhead, and get enhanced reporting capabilities that duplicate dashboards can’t provide.to dashboard duplication.

    Alternative ways to track email open rates without HTML Email Status report type

    When HTML Email Status report types aren’t available, Salesforce alternatives like Activity Timeline views or Campaign Member reports provide limited email tracking data without the depth needed for meaningful analytics.

    These native alternatives lack comprehensive engagement metrics and can’t provide the email performance insights your sales and marketing teams need.

    Get comprehensive email tracking using Coefficient

    Coefficientoffers the most complete alternative for email open rate tracking by accessing the underlying HTML Email Status object directly. This provides comprehensive engagement data even when report types aren’t available in your Salesforce org.

    You get advanced email analytics capabilities that surpass any native Salesforce reporting method.

    How to make it work

    Step 1. Import complete HTML Email Status data.

    SalesforceConnect to yourorg and import from the HTML Email Status object. Access Times Opened, First Open Date, Last Open Date, and Email Template ID fields that may not be visible in standard reports.

    Step 2. Create automated email analytics dashboard.

    spreadsheetSet up real-time email performance tracking with scheduled refresh (hourly, daily, or weekly). Track open rates, click-through rates, and engagement trends automatically in your.

    Step 3. Build campaign ROI analysis.

    Combine email tracking data with Campaign and Opportunity objects to calculate email-driven revenue attribution. Track the complete journey from email open to closed deal – something impossible with native Salesforce email reporting.

    Step 4. Develop advanced engagement scoring.

    Create custom formulas to score email recipients based on engagement patterns like immediate opens, multiple opens, and forwarding behavior. Build recipient profiles that inform future email strategies.

    Step 5. Set up team performance tracking.

    Track email open rates by sales rep, campaign type, or email template. Configure automated Slack or email alerts when performance thresholds are met or when high-value prospects engage with emails.

    Transform your email analytics today

    Start buildingStop settling for limited native Salesforce alternatives. Get comprehensive email tracking with advanced ROI analysis and automated performance monitoring that’s completely unavailable through standard Salesforce methods.better email analytics now.

    Automatically applying formulas to new rows added by workflow automation in Google Sheets

    Workflow automation adds raw data rows without any awareness of your spreadsheet’s calculation structure, requiring manual formula copying or complex dynamic range setups that break easily.

    Here’s how to automatically apply formulas to new rows during each data refresh, eliminating manual formula extension work entirely.

    Automatically apply formulas to new data with Formula Auto Fill Down using Coefficient

    Coefficient‘s Formula Auto Fill Down feature is specifically designed to solve workflow automation limitations. This is one of the most powerful advantages over basic workflow tools that add data without formula integration.

    HubSpotWhen you importdata through Coefficient, formulas in adjacent columns automatically get copied to new rows with proper relative cell references, maintaining calculation consistency across your entire dataset.

    How to make it work

    Step 1. Set up HubSpot import to replace workflow automation.

    Connect to your HubSpot account and configure an import for the data object you need. Select your required fields and configure the import to target a specific range within your existing spreadsheet structure.

    Step 2. Position calculation formulas adjacent to the import range.

    Place your calculation formulas in columns next to your imported data range. This includes VLOOKUP functions, INDEX/MATCH formulas, conditional logic, custom calculations, and any data validation rules you use for analysis.

    Step 3. Configure scheduled refreshes for automatic updates.

    Set up hourly, daily, or weekly refreshes based on your data update needs. Each refresh cycle automatically detects formulas adjacent to imported data and replicates them to new rows with proper relative cell references.

    Step 4. Verify formula complexity support and formatting preservation.

    Check that Formula Auto Fill Down works with your specific formulas, whether they’re simple calculations or complex nested functions. The feature maintains number formatting, conditional formatting, and data validation rules alongside the formulas themselves.

    Transform your spreadsheet into a dynamic calculation engine

    Eliminate manualThis approach transforms your spreadsheet from a basic data repository into a dynamic analysis tool where new records automatically integrate with your existing calculation framework.formula extension work that workflow automation requires.

    Can Import2 maintain company-contact associations when importing from separate CSV files to HubSpot

    Import2 cannot maintain company-contact associations across separate CSV files because it processes each import independently without understanding relationships between different object types.

    Here’s how to preserve these critical associations when importing from multiple Excel files.

    Maintain company-contact associations using Coefficient

    CoefficientHubSpotsolves the multi-file association challenge by connecting both company and contact data within the same workspace, allowing you to coordinate imports while maintaining proper relationships betweenobjects.

    Instead of hoping separate imports will somehow connect properly, you get explicit association management that ensures contacts link to their companies correctly.

    How to make it work

    Step 1. Import company data first with unique identifiers.

    Connect your company Excel file to Coefficient and import company records, ensuring each company has a unique identifier like domain name, company ID, or exact company name that can be referenced later.

    Step 2. Prepare contact data with company reference fields.

    In your contact Excel file, include columns that reference the company identifiers from step 1. This might be company domain, company name, or HubSpot company ID if you’re updating existing data.

    Step 3. Use Coefficient’s association management during contact import.

    When importing contacts, map the company reference fields to create associations. Coefficient will link contacts to companies based on the identifiers you’ve established, maintaining the relationships across both datasets.

    Step 4. Validate associations through the spreadsheet interface.

    Review the association mappings before finalizing the import. Coefficient shows you which contacts will be linked to which companies, letting you catch and fix association issues before they’re created in HubSpot.

    Preserve data relationships across multiple files

    Start using CoefficientCompany-contact associations are fundamental to CRM data integrity, but CSV-based tools aren’t designed to handle relationships across separate files. With proper association management, you can maintain these connections regardless of how your data is organized.to preserve your HubSpot object relationships.

    Can you update HubSpot calculated properties directly from Excel spreadsheet data

    HubSpotYou cannot directly updatecalculated properties from Excel data because calculated properties are system-generated fields that automatically compute values based on predefined formulas and cannot be manually overwritten.

    However, there are effective workarounds that let you influence calculated properties or create custom alternatives for your Excel-based calculations.

    CoefficientWork with calculated properties using alternative approaches with

    While calculated properties like “Days since last activity” or “Total deal value” are read-only, you can update the underlying source properties that these calculations depend on, or create custom properties to store your Excel-based calculations.

    How to make it work

    Step 1. Update source properties that feed calculated fields.

    Use Coefficient to update properties like “Last Activity Date” to affect “Days since last activity” calculations, or update individual deal amounts to influence total deal value calculations automatically.

    Step 2. Create custom properties for your Excel calculations.

    Instead of trying to update calculated properties, create custom number or text properties in HubSpot that can accept your Excel-calculated values, like “Revenue Forecast” or “Performance Score” fields.

    Step 3. Implement a hybrid calculation approach.

    Use Excel for complex calculations that HubSpot can’t perform natively, then push the results to custom HubSpot company properties via Coefficient. This extends HubSpot’s analytical capabilities with your sophisticated Excel formulas.

    Step 4. Add timestamps to track when custom calculations were updated.

    Create “External Calculation Date” timestamp fields to track when your Excel-based values were last updated, providing audit trails for your custom calculated data.

    Extend HubSpot’s capabilities with custom calculations

    Start creating custom calculated fieldsThis approach lets you complement HubSpot’s calculated properties with your own Excel-based analytics while respecting system limitations.that work alongside HubSpot’s native calculations.

    Can’t find HTML Email Status report type in Lightning Experience

    HTML Email Status report types are frequently missing in Lightning Experience due to report type migration issues from Classic, Lightning-specific permission requirements, or incomplete object availability in the Lightning interface.

    Lightning Experience also has different report builder navigation that can obscure certain report types, particularly specialized objects like HTML Email Status.

    Eliminate Lightning Experience limitations using Coefficient

    Coefficienteliminates Lightning Experience limitations by providing direct access to HTML Email Status data through spreadsheets. This offers superior email tracking capabilities with better visualization and collaboration options than Lightning Experience provides.

    You get comprehensive email analytics without depending on Lightning Experience report builder availability or interface restrictions.

    How to make it work

    Step 1. Connect independent of Lightning Experience.

    SalesforceInstall Coefficient and connect to yourorg. Import HTML Email Status data directly without relying on Lightning Experience report builder availability or interface limitations.

    Step 2. Create intuitive email tracking dashboards.

    GoogleBuild email tracking dashboards inSheets or Excel with better visualization options than Lightning Experience provides for HTML Email Status reports. Use charts, conditional formatting, and custom calculations.

    Step 3. Enable cross-platform accessibility.

    Access email tracking data from any device or platform, eliminating Lightning Experience browser requirements or performance issues. Share dashboards with team members regardless of their Salesforce access.

    Step 4. Build advanced integration capabilities.

    Combine HTML Email Status data with other Salesforce objects using flexible import capabilities. Create comprehensive email-to-revenue analysis that’s not possible in Lightning Experience reporting.

    Step 5. Set up real-time collaboration and alerts.

    Share email performance data using spreadsheet collaboration features that are superior to Lightning Experience report sharing. Configure automated Slack or email notifications for email performance changes.

    Get better email analytics than Lightning Experience

    Start buildingStop struggling with Lightning Experience limitations. Access comprehensive email tracking data with more flexible and powerful reporting capabilities than Lightning Experience provides, even when HTML Email Status reports become available.better email analytics today.

    Contact import from Excel not populating phone company website fields

    HubSpotPhone, company, and website fields fail to populate becausehas specific formatting requirements that Excel imports often don’t meet – phone numbers need consistent formatting, companies must match existing records, and websites require proper URL protocols.

    Here’s how to address each field type with targeted solutions that ensure proper population every time.

    Address specific field challenges with targeted solutions

    Coefficientprovides specialized handling for phone, company, and website fields through data formatting capabilities, association management, and validation controls that address each field’s unique requirements.

    How to make it work

    Step 1. Connect to HubSpot and import existing data structure.

    HubSpotEstablish connection tothrough Coefficient and import current contact data to understand existing field structures and formatting patterns for phone, company, and website fields.

    Step 2. Standardize phone number formatting in Excel.

    Use Excel formulas to clean phone number data before export. Apply `=SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(A2,”(“,””),”)”,””),” “,””)` to remove formatting characters, then use `=”+1-“&LEFT(B2,3)&”-“&MID(B2,4,3)&”-“&RIGHT(B2,4)` to create consistent formatting.

    Step 3. Use Association Management for company fields.

    Leverage Coefficient’s Association Management to link contacts with existing company records in HubSpot. This feature can also create new company records when needed, preventing blank company fields from unmatched data.

    Step 4. Format website fields with proper protocols.

    Add URL protocols to website data using Excel formulas like `=IF(LEFT(A2,4)=”http”,A2,”https://”&A2)` to ensure proper website field formatting. Validate domains using conditional formatting to catch formatting errors.

    Step 5. Apply field-specific validation before export.

    Create validation rules for each field type: phone numbers should contain only digits and formatting characters, company names should match existing records, and websites should include proper domain structures.

    Step 6. Use conditional exports for validated data only.

    Set up conditional exports that only process data meeting validation criteria. This ensures phone, company, and website fields only export when properly formatted and validated.

    Step 7. Monitor results with email alerts.

    Enable Coefficient’s email alerts to notify you of any export issues with these critical contact fields. This provides immediate feedback on field population success.

    Ensure critical contact fields populate correctly

    Start fixingPhone, company, and website fields are essential for complete contact records. With targeted formatting and validation solutions, you can ensure these fields populate correctly every time.your contact field issues today.

    Contact information not mapping correctly during Excel file upload

    HubSpotContact mapping fails during Excel uploads becauserequires exact column header matching with limited flexibility for data variations like “First Name” vs “FirstName” or “Email Address” vs “Email”.

    Here’s how to eliminate mapping guesswork and ensure perfect field alignment between your Excel data and HubSpot contact properties.

    Get sophisticated field management with automatic and manual mapping

    Coefficienteliminates mapping issues through intelligent field management that handles both automatic alignment for HubSpot-sourced data and precise manual control for external Excel files.

    How to make it work

    Step 1. Establish HubSpot connection through Coefficient.

    HubSpotConnect your Excel workbook tothrough Coefficient’s sidebar. This creates the foundation for both automatic and manual field mapping capabilities.

    Step 2. Import existing HubSpot contact structure.

    Pull your current HubSpot contact data into Excel to understand available fields and their exact naming conventions. This gives you a template for proper field alignment.

    Step 3. Use manual mapping interface for external data.

    When working with external Excel data, access Coefficient’s manual mapping interface. Match your Excel columns to corresponding HubSpot contact properties, including custom fields you’ve created in your CRM.

    Step 4. Preview mapping results before export.

    Coefficient lets you preview how your field mapping will work before committing data to HubSpot. This prevents the trial-and-error cycle of traditional imports.

    Step 5. Apply Dynamic Filtering for flexible processing.

    Use Dynamic Filtering to point filter values to specific spreadsheet cells. This gives you flexible control over which contact data gets processed and how it maps to HubSpot fields.

    Step 6. Choose appropriate Export Actions.

    Select UPDATE for existing contacts, INSERT for new contacts, or DELETE for contact removal. Each action maintains your established field mapping for consistent results.

    Work in your familiar environment with perfect CRM alignment

    Start mappingContact mapping shouldn’t require wrestling with rigid import requirements. With intelligent field management, you can work in Excel while maintaining perfect alignment with HubSpot.your contact data correctly today.

    Convert Unix timestamp milliseconds from HubSpot export to readable date format

    HubSpot’s Unix timestamp milliseconds appear as 13-digit numbers like 1620710374103 in spreadsheet exports, making date analysis nearly impossible. These epoch time values need conversion to standard date formats before you can use them for reporting or calculations.

    Here’s how to automatically transform these timestamp numbers into readable dates without managing complex conversion formulas.

    Automatically convert timestamp milliseconds during import using Coefficient

    CoefficientHubSpot’sHubSpotrecognizestimestamp format and automatically converts epoch time values into standard dates during import. This works for contact creation dates, deal close dates, and custom date properties across bothobjects.

    How to make it work

    Step 1. Connect HubSpot through Coefficient’s sidebar.

    Install Coefficient in your spreadsheet application and navigate to “Connected Sources” in the sidebar. Add your HubSpot account with the appropriate permissions for the objects you want to import.

    Step 2. Select your HubSpot objects and timestamp fields.

    Choose the HubSpot objects containing the timestamp data you need. Coefficient displays all available properties, automatically identifying which fields contain timestamp data that requires conversion.

    Step 3. Import with automatic timestamp conversion.

    Select your desired timestamp fields and click “Import.” Coefficient processes the 13-digit millisecond values and converts them to properly formatted dates that your spreadsheet recognizes for sorting, filtering, and calculations.

    Step 4. Configure scheduled refreshes for ongoing data.

    Set up automatic imports to run hourly, daily, or weekly. Each scheduled refresh maintains the proper date formatting, ensuring your timestamp conversion stays consistent as new data flows in from HubSpot.

    Stop wrestling with timestamp conversion formulas

    Get startedManual timestamp conversion becomes unmanageable with large datasets and multiple date fields. Coefficient handles the millisecond-to-date transformation automatically, giving you clean, analysis-ready data from the start.with automated HubSpot timestamp conversion today.