Every sales team has CSV files scattered across drives, email attachments, and download folders. The challenge isn't getting data — it's getting it clean, mapped, and actionable in your CRM.

The CSV Import Challenge

CSV files from different sources use different column names. One file has "Full Name", another has "First Name" and "Last Name", and a third has "Contact". Without proper field mapping, you end up with messy, unusable data.

Smart Field Mapping

PerksMate solves this with an intelligent field mapper. When you upload a CSV, the system:

1. Auto-matches common column names (e.g., "email" → Email, "company_name" → Company)
2. Flags unmatched columns with a visual mapping interface
3. Shows data previews so you can verify mappings before import
4. Prevents duplicates by checking against existing leads

Data Hygiene Best Practices

• Remove rows without both name and email
• Standardise phone number formats
• Validate email syntax before import
• Add source tags ("csv", "event-2026", "partner-list")
• Use custom fields for source-specific data

After Import: Enrich and Score

Once leads are in your CRM, use custom fields to add context: lead source, campaign name, import date. Then use AI agents to start automated outreach based on the lead's attributes.