CTR curves, entropy, change points
Experimental Analytics
Statistical tools for the questions a table cannot answer: what changed, when, and how unusual is it.
What the report gives you
- CTR curve modelling with a fitted power law
- Opportunity scoring with position decay
- Cannibalization entropy
- Time-series decomposition, change points and anomalies
Sample output
Demo data| Analysis | Signal | Detected | Confidence |
|---|---|---|---|
| Change point | Clicks | 2026-06-14 | 96% |
| Anomaly | Impressions | 2026-08-02 | 2.9 sigma |
| Entropy | seo analytics | 1.42 | High |
The analyses in this set
Each one runs on demand and explains the method it used.
CTR Curve Modeling
Expected click-through rate, from your own data
Opportunity Scoring
One ranked list instead of thousands of rows
Cannibalization Entropy
How scattered a query is across your pages
Time-Series Decomposition
Trend, season and noise, separated
Change Point Detection
The date a trend actually broke
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