Who Uses SheetApp.ai
SheetApp.ai helps teams review messy CSV files as part of their regular work. See how sales, operations, agencies, recruiting, and finance teams use it.
Sales Lead Lists: SDRs, AEs, and Sales Ops
Turn scraped or purchased lead lists into CRM-ready pipeline
THE PROBLEM
Your lead list came from a trade show, a scraper, or a vendor. It has duplicates, missing emails, bad formatting, and no clear way to prioritize which prospects to call. You're about to waste hours cleaning it in Excel.
WITH SHEETAPP
Upload the CSV. SheetApp scores each lead from 0 to 100, finds duplicate contacts, flags missing emails and phones, and puts higher-scoring prospects first. Export a cleaned file for HubSpot, Salesforce, or Apollo.
KEY WINS
- Cut list prep time from hours to seconds
- Start outreach with your highest-score leads first
- Stop importing duplicates into your CRM
- Know exactly which leads need enrichment before you call
Sales Ops & Pipeline Cleanup: RevOps, Sales Ops, CRM Admins
Clean up messy CRM exports and stage-change data
THE PROBLEM
Your CRM is a mess. Reps entered data inconsistently. Deal stages don't match. Companies are spelled three different ways. You need to audit and clean the data before the quarterly forecast.
WITH SHEETAPP
Export your CRM data as a CSV, drop it in SheetApp, and review a quality report. See which records have missing fields, which companies are duplicated under different names, and which pipeline deals are missing critical data.
KEY WINS
- Audit any CRM export in under a minute
- Find duplicate company records before re-import
- See which deals are missing stage-required fields
Agency Reporting: Account Managers, Digital Agencies
Clean client-provided data before analysis or campaign launch
THE PROBLEM
A client sends a spreadsheet. It looks like a list of contacts or campaign targets. The columns are labeled inconsistently. Some emails are clearly bad. Before you can do anything useful, you have to figure out what you're even working with.
WITH SHEETAPP
Drop the client spreadsheet into SheetApp. Review a health score, a summary of the file's contents, a list of data quality issues, and a cleaned export you can work with.
KEY WINS
- Never import client junk into your own systems
- Use the health score to set accurate expectations with the client
- Export a cleaned version with a one-page quality report as a deliverable
Recruiting Lists: Recruiters, Talent Acquisition
Validate candidate data from LinkedIn exports and vendor lists
THE PROBLEM
You've sourced a list of 300 candidates. Some are duplicates from different exports. Some have missing email addresses or inconsistent titles. Before you can reach out, you need to clean the list.
WITH SHEETAPP
Upload the candidate list. SheetApp finds duplicates, flags missing contact info, normalizes formatting, and scores every row by data completeness. Export the cleaned list, ready for ATS import or outreach sequencing.
Finance & Business Data Cleanup: Analysts, Operations
Normalize and validate operational spreadsheets
THE PROBLEM
A data export from your billing system or ERP came out messy. Columns are inconsistently populated. Some records have missing required fields. You need to audit it before using it for a board report or financial model.
WITH SHEETAPP
Upload the spreadsheet and ask SheetApp.ai what's wrong with it. Review a plain-English summary of data quality issues, missing fields, and anomalies, then export a cleaned version for your model.