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📊 Revenue Analysis

🔥 Cohort Retention

🧪 A/B Test Results

🤖 AI Diagnostics

Analytics AI — nikunjkaushik.com Powered by Gemini

Which marketing channel drove the most revenue last quarter?

Paid Search drove 41% of your revenue last quarter — well ahead of every other channel. Instagram and Direct performed solidly. YouTube spent the most but returned the least — only ₹1.3 for every ₹1 spent. Worth reviewing before the next campaign.

Paid Search

41%

Instagram

22%

Direct

19%

11%

YouTube

Should I cut YouTube budget?

Show me user retention by cohort for the last 4 months.

Your January cohort is holding the best — 31% still active after 4 weeks, which is above your average. March dropped off quickly; only 18% remained after Week 2. Worth checking if something changed in onboarding or the product that month.

Wk 0 Wk 1 Wk 2 Wk 3 Wk 4

Jan

100%

58%

44%

36%

31%

Feb

100%

52%

38%

27%

22%

Mar

100%

38%

18%

12%

Apr

100%

45%

30%

—

What's different about the March cohort?

Did the new checkout page actually perform better in the A/B test?

Yes — Variant B is the clear winner. The new checkout page converted at 4.1% vs 3.2% for the original. That's a +28% improvement, and the result is statistically reliable — you can be confident this isn't a fluke. Roll it out.

Control (Original)

3.2%

Conversion Rate

1,847 users

Variant B (New) ✓

4.1%

Conversion Rate

1,832 users

+28% lift

Statistically significant · p-value = 0.02 · 95% confidence · Safe to ship

What's the revenue impact if we roll this out?

I scanned your last 30 days of data. Here's what you should know about — you didn't ask, but these need attention.

🔴 Critical Week-2 Retention Collapsed in May Cohort

Only 11% of May sign-ups came back in Week 2 — down from 38% in April. This is a 71% drop and almost certainly reflects a product change, a broken onboarding email, or a UX regression around May 14–16.

Recommendation Check onboarding email delivery rates from May 14 onward. Compare product change logs around that date. Prioritise fixing before the June cohort hits Week 2.

🟡 Warning YouTube Spend Up 40% — Revenue Flat

YouTube budget increased by ₹4.2L this quarter but attributed revenue stayed flat. ROI has dropped from 2.1× to 1.3× over 3 months — a consistent downward trend, not a one-off blip.

Recommendation Pause YouTube spend increase. Reallocate ₹2–3L to Paid Search where marginal ROI is still 3.8×. Review creative fatigue — same creatives running for 11 weeks.

🟢 Opportunity Email Channel Underinvested — Highest ROI

Email drives only 11% of revenue but has the highest ROI at 6.2× — likely because you're spending very little on it. The channel has room to grow without saturation.

Recommendation Increase email campaign frequency from 2× to 4× per month. Test a re-engagement sequence for users inactive for 30+ days — your data shows 23% of them bought within 60 days historically.

Tell me more about the May cohort drop.

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🧪

A/B Test Interpretation

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