Case Studies
How F64 Increased AOV by 12% with Aqurate Personalize
F64 boosted AOV by 12% with Aqurate Personalize. Discover how Romania’s leading photo retailer uses AI recommendations to grow smarter.
Empria, an online store on the Gomag platform, partnered with Aqurate to improve its personalization strategy and boost performance. By replacing static recommendations with AI-driven suggestions across the website and email, Empria saw quick gains: 16% of orders included recommended products, basket size doubled for engaged users, and personalized sessions drove up to 60% of daily revenue during promotions—delivering a smarter, more effective shopping experience.
About Empria
Empria is an online store built around a simple, yet powerful mission: to care for the people we love. Originally launched in 2018 as Buy4Baby, a retailer focused on baby products, the brand evolved into Empria—an eCommerce destination dedicated to offering safety, wellness, and comfort solutions for the entire family. From childproofing the home to assisting with elderly care, Empria curates a thoughtful selection of products designed to support every generation.
The Challenge
To elevate the shopping experience and respond to customers’ diverse needs with greater precision, Empria partnered with Aqurate to strengthen their personalization strategy and improve key performance metrics.-
Personalization capabilities: The existing recommendation setup relied on static, rule-based logic that often failed to surface relevant or timely product suggestions.
-
Conversion performance: Despite consistent traffic, the site was not converting visitors into buyers at the desired rate.
- Purchase behavior: The average size and value of customer baskets had shown little growth, leaving untapped potential for increased order value.
The Solution
To address these challenges, Empria partnered with Aqurate to deploy its advanced personalization platform. Key components of the solution included:-
AI user behavior analysis: Aqurate’s machine learning models analyzed on-site behavior, browsing history, and transactional data to build dynamic user profiles and product affinities.
-
Contextual product recommendations: Personalized product suggestions were served throughout the user journey - homepage, category pages, product detail pages, and checkout flows.
- Multi-channel orchestration: Recommendations extended to email campaigns and automations using theMarketer, creating a cohesive omnichannel experience.
Results
The impact was quick and tangible. Aqurate drove real value by helping Empria increase engagement and optimize every step of the customer journey. Key results in one month since installing the application included:
-
Over 16% of orders included items surfaced by the Aqurate recommendation engine
-
Average Basket Size was 2x larger for users who interacted with Aqurate, compared to users who did not.
- Personalized sessions contributed up to 60% of daily revenue during promotional spikes, demonstrating the power of targeted offers.
Insights from Empria
Conclusion
Empria’s collaboration with Aqurate marked more than a tactical upgrade - it was a strategic shift in how the company approaches personalization and customer engagement. By replacing static, one-size-fits-all recommendations with AI-driven, contextual suggestions tailored to real-time behavior, Empria transformed its eCommerce experience into one that feels truly personal.
The results speak for themselves. In just one month, Empria saw a clear uplift in customer interaction and revenue performance: the average basket size doubled for users engaging with personalized recommendations, and these sessions accounted for over 11% of total revenue.
Try Aqurate Personalize
Test Aqurate Personalize on your shop - Free for 30 days and no credit card required - and see the results.
