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Advanced Analytics

Dashboard & Analytics

Written by BeyondCart

Last updated: March 2026 Category: Dashboard & Analytics

Overview

The Advanced Analytics page goes deeper than the main dashboard, offering lifetime value comparisons, cohort analysis, conversion funnel breakdowns, and product-level insights. Use it to understand long-term user behavior and pinpoint exactly where customers drop off.

How to Access

Click Analytics in the left sidebar navigation. The Advanced Analytics page loads with data for the currently selected period. You can adjust the period using the same dropdown found on the main dashboard.

[Screenshot: Sidebar with Analytics link highlighted]

LTV Comparison

The Lifetime Value (LTV) Comparison section shows the average revenue generated per customer over their entire relationship with your store, split by channel.

App Users LTV — Average total spend from customers who primarily shop through the mobile app.

Web Users LTV — Average total spend from customers who primarily shop through your website.

A bar or column chart displays both values side by side. Below the chart, a summary line shows the percentage difference so you can quantify the app's impact on customer lifetime value.

Why this matters: If app users have a significantly higher LTV, it validates your investment in the mobile channel and can guide how aggressively you promote app downloads.

[Screenshot: LTV Comparison chart showing app vs web lifetime values]

Cohort Analysis

The Cohort Analysis section groups users by the month they first made a purchase and tracks their spending in subsequent months. Two cohort views are available:

App Cohorts — Users whose first purchase was through the mobile app.

Web Cohorts — Users whose first purchase was through your website.

Each row represents a cohort (e.g., "January 2026 app buyers") and each column shows the percentage of that cohort that returned to purchase in month 1, month 2, month 3, and so on. Cells are color-coded from light to dark—darker cells indicate higher retention.

Use cohort analysis to answer questions like:

  • Are app buyers more likely to return than web buyers?

  • Is retention improving over time as you refine your app experience?

  • Which cohort had the best long-term engagement, and what campaigns were running at that time?

[Screenshot: Cohort Analysis grid comparing app and web cohorts]

Conversion Funnel

The Conversion Funnel is a horizontal bar chart that visualizes your app's purchase flow from first touch to completed order. The stages are:

Sessions — All app sessions in the period (100% baseline).

Product Views — Sessions where the user viewed at least one product detail page.

Add to Cart — Sessions where the user added an item to their cart.

Checkout — Sessions where the user started the checkout process.

Purchase — Sessions that ended in a completed order.

Between each stage, a drop-off percentage is displayed showing how many users did not advance. For example, if 60% of sessions include a product view but only 20% include an add-to-cart, the drop-off between those stages is 40%.

Identifying your biggest drop-off points helps you focus optimization efforts where they will have the most impact—whether that is improving product pages, simplifying the cart experience, or streamlining checkout.

[Screenshot: Horizontal conversion funnel chart with drop-off percentages]

Top Products

The Top Products section provides two ranked lists:

Most Viewed Products — Products with the highest number of detail page views during the selected period. Each entry shows the product name, image thumbnail, view count, and trend direction.

Most Purchased Products — Products with the highest number of completed purchases. Each entry shows the product name, image thumbnail, units sold, and revenue generated.

Compare the two lists to spot opportunities. A product with high views but low purchases may need a better description, more compelling images, or a promotional push. A product with strong purchases but low views could benefit from more visibility in your app's merchandising.

[Screenshot: Top Products section showing Most Viewed and Most Purchased lists]

Tips for Using Advanced Analytics

  • Review the conversion funnel monthly and set targets for reducing the largest drop-off stage.

  • Use cohort analysis after major app updates to see if retention improves for new cohorts.

  • Cross-reference top products with campaign content—promoting your best converters can amplify results.

  • Share LTV data with your team to justify continued investment in the mobile app channel.

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