> For the complete documentation index, see [llms.txt](https://rosetta-ai.gitbook.io/rosetta.ai-jiao-xue-wen-jian/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://rosetta-ai.gitbook.io/rosetta.ai-jiao-xue-wen-jian/kuai-su-shang-shou-rosetta-ai./dashboard_overview.md).

# 總覽 Dashboard

### 您可以在此頁面中瀏覽推薦版位的數據表現

#### Hi,歡迎使用Rosetta ai.的服務,您可以透過下方教學指引,更快速在Rosetta ai.後台輕鬆上手

當您登入帳戶後會先進到『總覽』頁面，如下圖：

![](/files/S7MUZSuQ3A4REaAqzVct)

#### 關鍵購物指標

收益：您的電商『本月至今』整體所帶來的營收

轉換率(CVR)：透過Rosetta.ai個人化推薦，衡量被推薦商品成功轉化為訂單的比率(訂單/佔網站訪客人數)

客單價(AOV)：單次消費中的平均消費金額(收益/訂單)

點擊數：藉由Rosetta.ai個人化推薦所帶來的推薦商品點擊次數

{% hint style="info" %}
若您要查看Rosetta所帶來的完整數據，請至『**數據報表**』
{% endhint %}

#### 用量指標

顯示您目前所訂閱的版本及使用的推薦展示量，在此您可查看開始計費的週期、剩餘的推薦展示額度等。

{% hint style="success" %}
若您不太清楚如何選擇合適的方案及估算推薦展示量，您可以至GA『目標對象』中的總覽查看網頁瀏覽量做為參考依據。
{% endhint %}

![](/files/1EirQLaElrtAOss0mgFY)

接下來,您可以點選Rosetta ai.Webapp左方的選單，來進行您想在後台進行操作的功能。

* 創立或編輯推薦版位：

{% content-ref url="/pages/RIzbdVtnxzwxQ1fip1kA" %}
[個人化推薦版位 Recommenders](/rosetta.ai-jiao-xue-wen-jian/kuai-su-shang-shou-rosetta-ai./plug-ins/ge-ren-hua-tui-jian-ban-wei-recommenders.md)
{% endcontent-ref %}

* 查看Rosetta ai.個人化推薦帶來的數據成效：

{% content-ref url="/pages/7ONFuDnzc356dM1bCmpI" %}
[數據報表Reports](/rosetta.ai-jiao-xue-wen-jian/kuai-su-shang-shou-rosetta-ai./reports.md)
{% endcontent-ref %}

* 查看帳號設定、訂閱方案：

{% content-ref url="/pages/kiNrPWtY43i6CdSZKwiD" %}
[帳號設定 Settings](/rosetta.ai-jiao-xue-wen-jian/kuai-su-shang-shou-rosetta-ai./setting.md)
{% endcontent-ref %}

#### 查看數據指標的說明：

{% embed url="<https://www.loom.com/share/363c38733edc418fa0aafebb783c51cc>" %}


---

# 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:

```
GET https://rosetta-ai.gitbook.io/rosetta.ai-jiao-xue-wen-jian/kuai-su-shang-shou-rosetta-ai./dashboard_overview.md?ask=<question>
```

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