Review the experience on two screens.
Compare mobile and desktop views. Spot a hard-to-find button, difficult text, or a page that keeps shoppers waiting.
UX INTELLIGENCE
A slow page, an overlooked button, a message that is hard to read. Review your store as shoppers see it with Fluxis UX Intelligence, and choose your next step with AI-assisted findings and recommendations.
The sample mobile home page takes 5.8 seconds to load.
Large campaign images and multiple files loading at startup increase the wait.
Suggested next stepStart by reducing large image sizes. Defer content that is not needed in the first screen.
Store, findings, and measurements are illustrative. This is a page preview, not a heatmap or a recording of real visitors.
E-COMMERCE UX ANALYSIS
User experience is about how easily visitors move through your store. UX Intelligence helps you identify where to start with conversion optimization: inspect the screen, understand the finding, and take action with your team.
Compare mobile and desktop views. Spot a hard-to-find button, difficult text, or a page that keeps shoppers waiting.
Review findings by severity, page, status, and impact. Focus your team on friction in the shopping experience.
Review the issue, possible cause, and suggested solution with AI-assisted analysis. Give your team clearer tasks supported by technical evidence.
SAMPLE REVIEW
The sample mobile scan loads the home page in 5.8 seconds. Loading time becomes the first finding to investigate.
Large campaign images and startup files are reviewed alongside technical evidence.
Reduce image sizes and defer content not needed on the first screen. Check the page again after the changes.
This scenario and its measurements are illustrative. Actual findings depend on your store’s scan results.
SEE THE RECOMMENDATION
Your campaign may catch the eye while its message blends into the background. See how a readability finding can translate into a design improvement.
Pale text and a similarly toned button make it harder to read the campaign and identify where to click.
Stronger text contrast and a distinct button make the same content easier to understand.
This illustrative design comparison does not change your live store or show a measured conversion lift. Evaluate the results in your store after implementing the recommendation.
BEHAVIORAL SIGNALS
Repeated clicks may indicate that an element does not respond as expected. Investigate areas that might be unresponsive or create the wrong expectation.
Review where visitors stop engaging as they move through the page. Identify areas to investigate in the content order and placement of key information.
Figures are illustrative. Behavioral signals guide investigation; alone, they do not prove a cause or revenue loss.
AUTOPILOT
Review issues eligible for automatic remediation in Autopilot. For other findings, work with your team using the explanation, possible cause, and suggested steps. Keep track of open issues and what to address in one place.
Review your store’s technical experience alongside scan findings.
Use revenue-at-risk and estimated-impact indicators to support prioritization.
The dashboard indicates when sufficient verified data is unavailable.
FAQ
It helps review e-commerce usability issues through AI and device simulation. It prioritizes findings and presents the problem, possible cause, solution steps, and technical evidence together.
It highlights friction that makes finding products, reading information, or reaching a purchase action more difficult. Plan improvements around concrete findings and evaluate their conversion impact in your store.
Yes. Switch device views to inspect how the page looks on different screens. Device information in findings helps identify the affected experience.
No. It is a device preview of your store. Behavioral signals such as rage clicks and scroll abandonment are reviewed separately.
No. Risk and estimated impact are prioritization indicators, not confirmed revenue loss. The dashboard indicates when sufficient verified data is unavailable.
Automatic remediation depends on the issue. Supported issues are considered in Autopilot. For other findings, your development team can implement the recommended steps.
Share your store URL. We’ll review the device experience, conversion risks, and improvement priorities together.