User-Friendly Contact Data Import

REQUEST_SUMMARY_V2 Problem - Current System: Users currently need to download a Spur Contacts CSV, then copy and paste data from their records, often requiring complex Google Sheets formulas and extensive data manipulation.Suggested Improvement: Develop a more intuitive contact import process where users can upload their own CSV file. A modal in Spur would allow users to match their CSV column headers with Spur's contact fields (First Name, Last Name, Full Name, Country Code, Phone Number with/without Country Code, Email, Profile Photo URL, Tags, Channel, OPT-IN). This would accommodate various data formats, like different columns for phone numbers and country codes, simplifying the import process without the need for c Expected behavior - Expose clear integration setup and mapping flow - Support reliable sync with retries and visible failure states - Allow users to verify successful data movement end-to-end Business impact - Reduces manual operational effort for teams - Improves consistency and customer experience - Helps teams move faster with fewer support escalations Legacy category: Improvement