Sales Insights

The Sales Insights Page in the Analytics section offers comprehensive data on sales performance and customer engagement.


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

What is a Pre-Purchased Session, and why is it important?

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.

How is the Conversion Rate calculated?

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

What does Revenue Per Chat indicate?

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

What insights can I gain from the New Users vs Existing Users graph?

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

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