Analytics Sale Performance

Overview

The Sale Performance tab provides insights into your app's sales performance, top-selling products, order sources, and checkout behavior. It helps you understand what drives revenue and identify opportunities to optimize the purchasing experience.

You can:

• Select a reporting period.

• Compare the selected period with a previous period.

• Analyze revenue, orders, product performance, traffic sources, and checkout abandonment.

Purpose

Track the total revenue generated from orders placed through your mobile app.

How to read

• Displays the total revenue during the selected time period.

• The percentage indicates the increase or decrease compared to the selected comparison period.

• The sparkline chart shows revenue trends over time.

Use case

• Monitor overall sales performance.

• Measure the impact of marketing campaigns or promotions.

• Identify revenue trends.

Recommended actions

• Compare revenue with business targets.

• Investigate unexpected increases or decreases.

• Review Top Selling Products and Order Sources to understand revenue drivers.

Purpose

Track the total number of completed orders placed through your mobile app.

How to read

• Displays the total number of completed orders during the selected time period.

• The percentage indicates the increase or decrease compared to the selected comparison period.

• The sparkline chart shows order trends over time.

Use case

• Monitor order volume.

• Compare with revenue to evaluate sales performance.

Recommended actions

• Track order trends after marketing campaigns.

• Compare with AOV to understand customer purchasing behavior.

Purpose

Measure the average amount customers spend per order.

How to read

Displays the average order value during the selected reporting period.

Use case

• Measure the effectiveness of upselling and cross-selling strategies.

• Evaluate the impact of bundles, promotions, and product recommendations.

Recommended actions

• Introduce product bundles or upsell offers if AOV is low.

• Monitor changes after promotional campaigns.

Purpose

Identify the products generating the highest sales during the selected time period.

Available metrics

• Product

• Quantity Sold

• Revenue

• Conversion Rate

How to read

The table ranks products based on their sales performance and displays the quantity sold, revenue generated, and conversion rate for each product.

Use case

• Identify your best-performing products.

• Compare product performance.

• Measure product conversion efficiency.

Recommended actions

• Promote top-selling products through featured collections or marketing campaigns.

• Review low-performing products and optimize their pricing, images, or descriptions.

• Increase inventory for products with consistently high demand.

Purpose

Identify where completed orders originate.

How to read

The donut chart displays the percentage of orders by acquisition source.

Examples may include:

• Direct

• Notifications

• Deep link

• Other

Use case

• Understand which channels generate the most sales.

• Measure marketing channel effectiveness.

Recommended actions

• Increase investment in high-performing channels.

• Optimize or discontinue channels with low conversion performance.

Purpose

Measure the percentage of users who leave the checkout process before completing a purchase.

How to read

The chart displays the checkout abandonment rate over the selected time period.

A higher abandonment rate indicates that more users leave before completing payment.

Use case

• Evaluate the effectiveness of the checkout process.

• Identify periods with unusually high checkout abandonment.

Recommended actions

• Simplify the checkout process.

• Offer additional payment methods.

• Review shipping fees and unexpected charges.

• Enable abandoned checkout recovery campaigns or push notifications.