Arabic-speaking testers. Thinking-aloud sessions. Segmented by age and location. Oprimes mapped the full shopping journey to pinpoint exactly where users dropped off — and why.
A leading luxury fashion house faced high cart abandonment, low conversion rates, and poor user satisfaction — despite a deep product catalogue. Navigation, filtering, and checkout were the culprits.
Oprimes hand-picked Arabic-speaking testers and ran thinking-aloud sessions across the full shopping journey — including a dummy checkout — then segmented findings by age and location.
Evidence-backed improvements to filtering, product pages, and checkout led to reduced cart abandonment, increased sales, and stronger customer loyalty in the target market.
Despite a diverse and premium product catalogue, users found it difficult to navigate the site, filter products to their preferences, and complete purchases without friction. The result was a high rate of cart abandonment — users adding products, then leaving before checkout — and a conversion rate that did not reflect the strength of the brand.
The underlying problem was assumptions: internal teams were making design decisions based on what they thought users wanted, not what real users in the target market actually did. To fix the conversion funnel, the client needed evidence from the users who matter most — Arabic-speaking shoppers navigating the journey in their own context, on their own devices, in real time.
Oprimes hand-picked Arabic-speaking testers from our global community — verified users who matched the client's target demographic in language, region, and shopping behaviour — ensuring that findings reflected real customer intent, not internal assumptions.
Testers verbalized their thoughts in real time as they browsed category pages, applied filters, explored product detail pages, added items to their cart, and completed the purchase flow using a dummy payment method — capturing unfiltered friction at every stage.
Testers were segmented by location and age group to surface how different customer cohorts navigate the same interface — revealing that friction points varied significantly by demographic, enabling targeted fixes rather than one-size-fits-all changes.
Pain points across navigation, product discovery, and checkout were documented and prioritised by frequency and severity — eliminating guesswork and giving the client a data-backed improvement roadmap aligned to real user behaviour.
Root causes in checkout friction were identified and resolved, leading to a measurably simpler purchase experience.
A refined digital experience drove increased sales and stronger customer loyalty in the target Arabic-speaking market.
Navigation, product discovery, checkout flow, conversion rate, and competitive positioning — all addressed through evidence.
By replacing assumptions with real-user evidence, the client was able to simplify checkout, enhance filtering and sorting to help users find products faster, and improve product page clarity to boost engagement. These changes translated directly into increased sales and repeat custom in the target market — and positioned the brand with a more intuitive, user-centric platform ahead of competitors in the luxury e-commerce space.
Enhanced filtering and sorting options helped users find products faster, reducing frustration in a deep catalogue.
Improved information clarity and visual hierarchy on product detail pages boosted engagement and intent to purchase.
A more intuitive, user-centric platform positioned the brand ahead in the luxury e-commerce market — with evidence to back every decision.
Internal testing rarely surfaces how Arabic-speaking users navigate an interface built for Western reading patterns. Real-market testers expose the gap between design intent and lived experience.
Click data tells you where users abandon. Thinking-aloud sessions tell you why. Narrated sessions from real users in real markets give teams the context they need to fix the right problem.
Not all abandonment has the same cause. Segmenting testers by age and location showed that friction differed by cohort — enabling targeted improvements instead of blunt redesigns.
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How Oprimes uses real-user research to reduce cart abandonment and lift conversions in luxury e-commerce
Oprimes puts real, verified users — matched by language, location, and demographic — through your full purchase journey. The result is not a heatmap. It is a roadmap.
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