> For the complete documentation index, see [llms.txt](https://integrations.impact.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://integrations.impact.com/ai-solutions/mcp-skills/brand-skills/brand-partner-performance-scorecard-skill.md).

# Brand Partner Performance Scorecard Skill

Use this skill to rank your active partners by clicks, actions, and revenue over any date range. It generates a markdown performance scorecard with period-over-period comparisons and three key action items. 

For partners you have not recruited yet, use the [Brand Partner Discovery Brief](/ai-solutions/mcp-skills/brand-skills/brand-partner-discovery-brief-skill.md) instead.

### Prerequisites

* MCP access enabled on your impact.com Brand account.
* Client connected per [MCP Quick Start](/ai-solutions/mcp-quick-start.md).

### Install the skill

{% file src="/files/uEjQgZaic370s1ZG7KZa" %}

1. Download or copy the skill package above.
2. Install it in Claude, Cursor, or VS Code using [Install an MCP Skill](/ai-solutions/mcp-skills/install-an-mcp-skill.md).
3. Use this package's frontmatter when the AI client asks for metadata:
   * Name: `Brand partner performance scorecard`
   * Description: `Build a ranked partner performance scorecard for an impact.com Brand account from live MCP data. Use to see which partners are driving clicks, actions, and revenue for a program, ranked and compared to a prior period.`
   * Folder name (Cursor / VS Code): `brand-partner-performance-scorecard`
4. With impact.com MCP connected, prompt: "Run the partner performance scorecard for last month."


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# 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://integrations.impact.com/ai-solutions/mcp-skills/brand-skills/brand-partner-performance-scorecard-skill.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.

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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.