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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
0125250375500Jan 2025: 120Feb 2025: 135Mar 2025: 150Apr 2025: 142May 2025: 168Jun 2025: 180Jul 2025: 195Aug 2025: 210Sep 2025: 225Oct 2025: 240Jan 2025Feb 2025Mar 2025Apr 2025May 2025Jun 2025Jul 2025Aug 2025Sep 2025Oct 2025
SUM(New signups) BY Month, 10 rows||

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