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E-commerce Shopping Behavior Statistics

Visualizes cart abandonment rates, mobile versus desktop conversion, preferred payment methods, and the return rates behind online retail profit margins.
LBy Leadde Updated August 21, 2026

Which Checkout Numbers Actually Change a Decision

Checkout data is abundant and mostly indecisive. Cart abandonment, device split, payment preference, and return rate are all measurable, and a single video can only carry one of them to an action. Showing all four gives an operator a dashboard rather than a decision.

The selection problem is sharper here than in most data topics because the metrics are so easy to produce. Any analytics tool will export all four in a minute, which is exactly why a video that reproduces them adds nothing the viewer could not already see. What should never reach the published cut is your own store's figures: conversion rates, basket values, and margin by category are competitive information, and a public data video is not the place for them.

The checkout is followed across six scenes: one on where in the journey the drop happens, two on what the number does and does not explain, one on the single change most often responsible, one on how to test it, and one on what to measure afterwards.

How to Compress Retail Data Into Something Actionable

Retail operators are drowning in dashboards and short of decisions. A data video earns attention by removing metrics rather than presenting them, which is the opposite of how most are built.

Follow one journey, not one funnel

Follow one journey, not one funnel

A funnel chart is an aggregate. A single shopper reaching a payment page and leaving is the same information in a form an operator can act on.

Separate the measure from the cause

Abandonment is a symptom with at least four common causes. Presenting the rate without the candidates is where these videos stop being useful.

Give one testable change

One hypothesis, one measurement window, one way to tell if it worked. That is the whole payload of a useful retail data video.

Keep the benchmark out unless it is comparable

Cross-industry abandonment figures compare stores selling entirely different things. They make a video look researched and lead operators to the wrong conclusion.

Bring the analytics summary your team pulls monthly across

Upload the analytics summary, the checkout funnel export, or the post-peak review from last season. Accepted formats are PDF, DOC, DOCX, PPTX, and TXT, to 200 MB. Every scene stays editable and the uploaded document is unchanged.

Isolate the One Number That Moves a Decision

Load the analytics summary your team pulls monthly and adjust the scenes before peak trading begins.

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