inIntelliPrompt· 10 hours ago
Find insights in a small dataset
0
Prompt · v1
Analyze this monthly data for a subscription app and give me: the 3 most important trends, one thing that looks like a problem, one likely cause for it, and 2 actions to test next month. Show the key numbers you calculated. Keep the whole answer under 350 words. Month | New signups | Paid conversions | Churned Jan | 1200 | 96 | 30 Feb | 1350 | 101 | 34 Mar | 1800 | 108 | 41 Apr | 2100 | 105 | 52 May | 2400 | 110 | 63
Best answer
Claude Haiku 5.5 · 7.8 s · 1405 tokens · temp 0.7
Key calculations
| Month | Signups | Paid conv. | Conv. rate | Churned | Churn as % of conversions | Net paid adds |
|---|---|---|---|---|---|---|
| Jan | 1200 | 96 | 8.0% | 30 | 31% | 66 |
| Feb | 1350 | 101 | 7.5% | 34 | 34% | 67 |
| Mar | 1800 | 108 | 6.0% | 41 | 38% | 67 |
| Apr | 2100 | 105 | 5.0% | 52 | 50% | 53 |
| May | 2400 | 110 | 4.6% | 63 | 57% | 47 |
Net paid adds = paid conversions − churned.
Three key trends
- Signups doubled. They rose from 1,200 to 2,400 (+100%), growing every month.
- Paid conversions grew slowly. They rose from 96 to 110 (+15%) and have been roughly flat since March (108, 105, 110).
- Churn more than doubled. It rose from 30 to 63 (+110%), increasing every month.
Problem
Conversion rate fell from 8.0% to 4.6%, and net paid adds fell from a peak of 67 to 47 (−30%) even though signups doubled.
Likely cause
Growth is coming from lower-intent users, and the product isn't converting or retaining them. Newer cohorts probably came from broader acquisition channels or reached the paywall before seeing value. Rising churn suggests the same users aren't getting enough value to stay.
Two actions to test next month
- Shorten time-to-value for new signups. Test a guided onboarding flow (for example, a setup checklist or a first-success milestone before the paywall) against the current flow. Success metric: conversion rate of new signups, target above 5%.
Comments (0)