> ## Documentation Index
> Fetch the complete documentation index at: https://docs.openkol.net/llms.txt
> Use this file to discover all available pages before exploring further.

# Key Metrics

> Signals that show OpenKol is creating value.

These are the signals that matter if OpenKol is doing its job: **reducing noise and making verification shareable**.

***

## Core product metrics

* **Analyses created** per day / week (overall and per-user)
* **Activation rate:** % of new users who run at least one analysis
* **Retention:** users returning to analyze again (D1 / D7 / D30)
* **Time-to-value:** time from landing → first completed analysis
* **Free → paid conversion** (and churn, once paid tiers exist)

***

## Growth & distribution metrics

* **Share rate** of OG cards and permalinks
* **Share → return rate:** visits driven by shared links
* **KOL adoption:** number of KOLs linking/sharing their OpenKol pages

***

## Coverage metrics

* Number of tracked KOLs with enough calls for a meaningful profile
* Depth of historical calls (how far back analyses go)
* Chain/DEX coverage (once multi-chain expands)

***

## Integrity & reliability metrics

* **Reanalysis ratio:** reanalyzes vs new analyses (signals trust + revisits)
* Data freshness indicators (post retrieval and candle availability)
* Provider error rate / missing-data rate by source
* % of analyses completed without manual intervention

***

## North-star (recommended)

A strong candidate north-star metric is:

**Weekly Active Verifiers (WAV):** unique users who complete at least one analysis per week.

It captures the core behavior OpenKol is built for: verification, not browsing.