The Spreadsheet Nightmare
Customer list from 3 sources. Different date formats. Phone numbers with and without dashes. Emails in different columns.
You need this clean by end of day. So you start clicking. Find duplicates. Standardize formats. Fill in missing info. One. Cell. At. A. Time.
3 hours in, you’re on row 842. 2,158 rows to go. Your eyes hurt. You’ve lost track of what you’ve fixed.
This kills your day:
- 6+ hours of mind-numbing clicking
- Errors you don’t catch because you’re tired
- The meeting you’re now late for
- Work that should’ve taken minutes, not hours
What Sam Does Instead
Finds Every Duplicate
Sam scans all 3,000 rows in seconds. Finds duplicates by name, email, or custom rules. No human error.
1,847 duplicates found in 2 minutes
Standardizes Everything
Dates to MM/DD/YYYY. Phone numbers to (555) 555-5555. Emails lowercase. Consistent across all rows.
3,000 rows standardized in 4 minutes
Fills Missing Data
Sam finds missing emails from public records, standardizes company names, fills in blanks where possible.
427 fields filled in 6 minutes
Real Example
“Customer list from 3 sources: CRM export, trade show signup sheet, email list. Duplicates everywhere. Need it clean for tomorrow’s campaign.”
Manual clicking, probably still has errors
Clean, standardized, ready to import
“I had 3,000 rows with different date formats, duplicate contacts, and missing phone numbers. Sam cleaned it in 12 minutes. I spent $0.73 instead of my entire afternoon.”
— Marketing Manager, B2B SaaS
Other Things Sam Does
Tasks that used to take hours, now take minutes
Frequently Asked Questions
- What types of data cleanup can Sam handle?
- Duplicate removal, format standardization (dates, phone numbers, emails), missing field completion, and data merging across multiple sources.
- How does Sam handle sensitive data?
- Your data is processed in an isolated container that’s destroyed after the task completes. Nothing is stored or shared.
- What file formats does Sam work with?
- CSV, Excel (.xlsx), Google Sheets exports, and structured text files. Most common spreadsheet formats are supported.
- How accurate is the duplicate detection?
- Sam uses fuzzy matching that catches near-duplicates like "John Smith" vs "J. Smith" — not just exact matches.