> For the complete documentation index, see [llms.txt](https://kaizen-2.gitbook.io/kaizen-labs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://kaizen-2.gitbook.io/kaizen-labs/features/analytics-platform/advanced-kol-analysis-with-filters.md).

# Advanced KOL Analysis with Filters

The KOL Performance Analysis provides a holistic overview of how effective a KOL is. However, with advanced filters, you can manipulate the data to uncover specific strategies, hidden gems, and more detailed insights. This feature allows users to filter and analyse KOL calls in various ways to extract valuable information and identify patterns that can inform trading decisions.

#### <mark style="background-color:orange;">Key Features</mark>

* **Holistic Data Manipulation**: Imagine all the KOLs' calls stored in a database where you can find insights into specific sections based on data.
* **Market Cap Filters**: Filter calls based on different market cap ranges, such as below $100k, between $250k-$500k, or above $1 million, to see performance within these segments.
* **Volume Filters**: Analyse calls based on the volume of the projects to identify which calls perform best at different volume levels.
* **Time Zone Filters**: Filter calls by the time they were made (morning, evening) to find the most effective time for KOL calls.
* **Telegram Chat Activity**: Measure the activity in the project's Telegram chat (e.g., number of messages) to correlate with call performance.
* **Holders**: Analyse the number of holders at the time of the call to understand its impact on performance.
* **Liquidity**: Filter calls based on the liquidity of the projects.
* **Blockchain Chain**: Identify which blockchain projects perform best under specific conditions.
* **Cross-KOL Analysis**: Find patterns when multiple KOLs call the same token within a certain time frame (e.g., 15 minutes, 1 hour).
* **Combined Filters**: Use multiple filters simultaneously to discover nuanced insights and strategies.

<mark style="background-color:green;">**Examples of Use Cases:**</mark>

{% tabs %}
{% tab title="💹 Traders and Degens" %}

* **Strategy Discovery**: By analysing KOL calls through various filters, you can discover effective trading strategies and identify high-probability opportunities.
* **Example Insights**:
  * **Market Cap**: KOL 1 may have a higher success rate when calling projects with a market cap between $300k-$600k.
  * **Volume and Activity**: KOL 2 may excel when the project's volume is above $100k, combined with Telegram activity exceeding 100 messages per 15 minutes.
  * **Cross-KOL Synergy**: KOL 3 might be particularly good at calling GameFi utility projects when collaborating with KOL 5.
    {% endtab %}

{% tab title="🚀 Projects" %}

* **Optimised Promotions**: Use filters to determine the best conditions under which KOLs should promote your project for maximum impact.
* **Community Insights**: Gain insights into how different project metrics, such as market cap and volume, influence the success of KOL promotions.
  {% endtab %}

{% tab title="📈 Analysts" %}

* **In-Depth Analysis**: Conduct detailed analyses using various filters to identify patterns and trends that inform investment and trading strategies.
* **Custom Filters**: Apply custom filters to focus on the most relevant data for your specific needs.
  {% endtab %}

{% tab title="📣 Marketing Firms" %}

* **Targeted Campaigns**: Utilise advanced filters to identify the most effective times and conditions for influencer marketing campaigns.
* **Performance Tracking**: Measure the success of campaigns under different conditions to optimise future strategies.
  {% endtab %}

{% tab title="💼 VCs" %}

* **Investment Strategies**: Use advanced filters to identify the best opportunities and manage investment risks more effectively.
* **Performance Correlation**: Correlate different project metrics with KOL call performance to make more informed investment decisions.
  {% endtab %}
  {% endtabs %}

🔄 **Continuous Improvement**

The platform is designed to create new types of analytics for the blockchain industry. We incentivise users to find and post strategies for others to follow. The more profitable our users are, the more volume can be traded through the bot, and the more users can earn. 🌟

***


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://kaizen-2.gitbook.io/kaizen-labs/features/analytics-platform/advanced-kol-analysis-with-filters.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
