Problem: Currently, importing contacts (e.g., via CSV) into HighLevel presents challenges when a single contact has multiple phone numbers or email addresses that need specific labels (like "Mobile", "Work", "Home", "Personal"). The import process typically only maps to a primary phone/email field, or pushes additional entries into generic custom fields—losing the context provided by proper labels. This leads to: Manual cleanup and categorization post-import Higher risk of data entry errors Slower onboarding and contact migration workflows Proposed Solution: Enhance the contact import functionality to support mapping CSV columns directly to specific, labeled phone number and email address fields within HighLevel contact records. Specifically: During import field mapping: Allow users to assign columns like Work Phone or Email_Personal to labeled contact fields in HighLevel. Support for Standard Labels: - Phone Numbers: Mobile, Work, Home, Main, Landline, Fax, Other - Email Addresses: Personal, Work, Other Multiple entries per contact row: The system should support parsing and mapping multiple phone/email types for a single contact in one row. Example Use Case: A CSV file contains columns: FirstName , LastName , MobileNum , WorkPhone , HomeLandline , PersonalEmail , WorkEmail Mapping would look like: MobileNum → Phone (Mobile) WorkPhone → Phone (Work) HomeLandline → Phone (Home) or Phone (Landline) PersonalEmail → Email (Personal) WorkEmail → Email (Work) All in a single import process for one contact. Benefits: Time Savings: Minimizes or eliminates the need for post-import data cleanup. Accurate Data Organization: Contact methods are stored with the correct context and labels from the beginning. Enhanced Segmentation & Automation: Enables precise targeting—e.g., SMS to Mobile numbers, campaigns to Work emails. Streamlined CRM Migrations: Eases the transition from platforms that support labeled contact methods. Improved Usability: More intuitive contact records and better data hygiene across the platform. This feature would be a major improvement for teams managing detailed contact data and running high-volume imports or migrations.