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Below is a worked example: 10 months of signups and marketing spend for a small SaaS product. This is exactly what you get after uploading your own spreadsheet, plain-English insights, one auto-generated chart, and a shareable summary, computed from the data and never invented.

Preview mode: no AI key is configured, so these insights use a built-in offline narrator. Every number is still computed from your file. With a key set, a stronger model writes the narrative.

New signups rose from 120 in January to 240 in October, a 100% increase over the period.

This example tracks 10 months of new signups and marketing spend, from January through October 2025, split across three acquisition channels.

  • Marketing spend rose from $1,000 to $2,000 over the same months, also a 100% increase.
  • Signups and marketing spend moved almost perfectly together (correlation of 0.99), so the growth in signups tracked closely with the growth in spend.
  • Paid Search was the leading channel, driving signups in 5 of the 10 months tracked.
  • The average month brought in about 177 new signups on roughly $1,480 of marketing spend.
New signups by month
Jan 2025: 120120Feb 2025: 135135Mar 2025: 150150Apr 2025: 142142May 2025: 168168Jun 2025: 180180Jul 2025: 195195Aug 2025: 210210Sep 2025: 225225Oct 2025: 240240Jan 2025Feb 2025Mar 2025Apr 2025May 2025Jun 2025Jul 2025Aug 2025Sep 2025Oct 2025
SUM(New signups) BY Month, 10 rows||

If the math does not back a sentence, you never see it.

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