> For the complete documentation index, see [llms.txt](https://limechatai.gitbook.io/limechat-product-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://limechatai.gitbook.io/limechat-product-guide/helpdesk/analytics/sales-analytics/sales-insights.md).

# Sales Insights

***

## Metrics

1. **Pre-Purchased Sessions**
   * The number of sessions where users expressed interest in purchasing before completing a transaction.
   * **Use Case**: Helps evaluate customer intent and the effectiveness of lead nurturing.
2. **Total Orders**
   * The total number of orders placed during the selected timeframe.
   * **Use Case**: Tracks overall sales volume.
3. **Revenue Generated**
   * The total revenue generated from all orders during the selected timeframe.
   * **Use Case**: Monitors the financial performance of sales efforts.
4. **Conversion Rate**
   * The percentage of sessions that resulted in an order.
   * **Use Case**: Measures the effectiveness of the sales funnel.
5. **Revenue Per Chat**
   * The average revenue generated from each customer chat session.
   * **Use Case**: Evaluates the financial efficiency of customer interactions.

***

## Graphs

**1. Periodic Sales Data**

* Displays sales trends over the selected timeframe.
* **Key Insights**:
  * Identifies periods of high or low sales activity.
  * Helps assess the impact of campaigns or promotions on sales performance.

**2. New Users vs Existing Users**

* Compares sales data between new and returning users.
* **Key Insights**:
  * Helps understand customer loyalty and the effectiveness of user acquisition strategies.

***

## Table: Product-Wise Sales Data

The table provides a breakdown of sales performance for individual products.

**Columns:**

1. **Products**
   * The names or categories of products.
2. **Shown**
   * The number of times the product was displayed to customers.
3. **Units Sold**
   * The number of units sold for each product.
4. **Sales**
   * The total revenue generated from each product.

**Use Case:** Helps identify best-selling products and those requiring attention.

***

## Additional Graphs

**1. Product Quiz Conversion (Funnel Graphs)**

* **Description**: Visualizes the steps in the product quiz funnel and conversion rates at each stage.
* **Key Insights**:
  * Highlights drop-off points in the quiz funnel.
  * Helps refine the quiz process to improve conversions.

**2. PDP Entry Conversion**

* **Description**: Tracks the conversion rate of users who visited the Product Detail Page (PDP) and completed a purchase.
* **Key Insights**:
  * Measures the effectiveness of PDPs in driving sales.
  * Provides insights for optimizing product presentation.

***

## Usage Tips

* Use the **Periodic Sales Data** graph to monitor sales trends and correlate them with marketing efforts or seasonal factors.
* Compare **New Users vs Existing Users** data to tailor strategies for user acquisition and retention.
* Leverage **Product-Wise Sales Data** to focus on high-performing products and address underperforming ones.
* Analyze **Product Quiz Conversion** and **PDP Entry Conversion** graphs to optimize customer engagement and improve purchase rates.

The **Sales Insights Page** serves as a robust tool for analyzing and enhancing sales performance, empowering businesses to drive growth and maximize revenue.

***

## FAQ'S

<details>

<summary>What is a Pre-Purchased Session, and why is it important?</summary>

A Pre-Purchased Session occurs when a user expresses interest in a product (e.g., adds to cart, engages with product recommendations) before completing a transaction. It helps evaluate customer intent and the effectiveness of lead nurturing.

</details>

<details>

<summary>How is the Conversion Rate calculated?</summary>

Conversion Rate = (Total Orders / Pre-Purchased Sessions) × 100. It measures how effectively the sales funnel turns interested users into paying customers.

</details>

<details>

<summary>What does Revenue Per Chat indicate?</summary>

Revenue Per Chat calculates the average revenue generated per customer chat session. It helps assess the financial efficiency of customer support and engagement.

</details>

<details>

<summary>What insights can I gain from the New Users vs Existing Users graph?</summary>

This comparison helps businesses:

* Assess customer retention and loyalty.
* Understand the effectiveness of marketing efforts in acquiring new users.
* Tailor engagement strategies for different user segment

</details>