Personalization pays where a store produces enough behavioural data and presents enough choice for it to matter. This guide sets out which types repay the cost at realistic volumes, which are usually overkill, and how to test the difference before committing budget.
Most tactics that raise average order value also put conversion or margin at risk. This guide sets out which levers fit which catalogue, and how to judge them on gross margin per session rather than on basket size.
Usability findings lose every argument against a feature request unless they carry a number. How to scope an ecommerce UX audit, which four kinds of evidence to combine, how to size a finding in margin rather than severity, and which findings should be fixed rather than tested.
A dedicated landing page owns only part of the journey a paid visitor takes. This article sets out when building one is justified, the four things that actually change the result, and how to judge it when the store and the ad platform disagree.
Traffic decides how much a store can learn each quarter before anyone writes a hypothesis. How to size tests against your own baseline, choose the metric and guardrails in advance, set a stopping rule that survives an encouraging day three, and decide whether the programme belongs in-house or outside.
Two stores with the same cart abandonment rate can need opposite work. This guide sets out the five most common causes, the signature each leaves in data you already hold, and a diagnostic sequence for identifying yours before buying a fix.
Shopify conversion rate optimization on mobile starts with separating three things: measurement artefacts, audience mix, and real interface friction. This piece shows how to isolate the true gap and fix the step that’s actually losing sales.
Heatmaps and session recordings explain why a behaviour happens on a page; they are a poor way of deciding which page matters. This guide sets out which signals carry real evidence, where the data stops being reliable, and the order that turns findings into prioritised work.
Checkout abandonment on Shopify is usually a friction problem rather than a pricing one. How to diagnose the drop-off by segment, fix the cause, and prove the result without subsidising every order.
On a standard Shopify plan the checkout is configurable but not editable; on Plus it becomes programmable within Shopify’s limits. This guide sets out where that line falls and how to decide which side of it your problem is on.