Clone Data

Highlights

• Find where new users drop off in onboarding

  Find where new users or accounts drop off between signup and first value, and what to try next. Measures each onboarding step within a time window from a product events CSV: step-to-step conversion, median time between steps, the biggest drop, splits by plan or segment, and a list of who got stuck. Writes markdown, CSV, and JSON.

  Sample run: four-step funnel with plan segments from the example: Funnel stuck

• See what your AI agents cost per customer

  See what your AI product costs per customer, per task, and per successful outcome, in one dashboard built from your LLM usage logs. It also shows model mix, cache hit rate, daily cost, and gross margin when you add revenue by customer. One offline HTML file; prices come from a table you edit, and it needs no provider API keys.

  Sample run: builds the dashboard with margins from the example usage: Agent costs

• Make a chart from a spreadsheet table

  For anyone who needs a clear chart from an Excel or Google Sheets table, with a short plain-words readout of what it shows. Export the table as CSV; a local script picks the chart type, adds repeated rows together, and writes one SVG image with no libraries that pastes into Word, PowerPoint, or Google Docs.

  Creator's example: Monthly bookings chart

• Run a weekly review of customers likely to churn

  Decide what to do about customers who might churn: one owner, one save play, and one date for each at-risk account. Pulls together usage, health score, support, billing, renewal, and notes, names the real risk driver for each account, and writes a one-page review plus a meeting agenda. Works with whatever exports you have.

• Clean up a messy spreadsheet

  For anyone with a messy Excel or Google Sheets export: fix stray spaces, mixed dates, numbers stored as text, blank rows, and duplicates. You get a cleaned CSV plus a change log of every edit, row by row, from a local script that can also split or merge columns. Your original file is never changed.

  Sample run: cleans the shipped catering orders: dates, amounts, blank row, duplicate, capitals: Catering orders changes

• Score customer health and spot at-risk accounts

  Spot at-risk customers before renewal with a red, yellow, green health score your team can read and adjust. Combines usage, support, and billing signals with an editable weights file, names the top drivers for each account, tracks change since the last score, and flags at-risk accounts renewing soon. Works from one CSV.

  Sample run: scores and bands the example accounts: Health