Increased sales through a targeted onsite personalization strategy
Thanks to an optimized customer journey, C&A is now benefiting from a forecast sales increase. This is made possible by a personalization strategy from the experts at Up Reply.
# Customer-centric
# Digital Commerce
# Dynamic Yield
)
The Challenge
An optimized customer journey for C&A
The project at a glance
An individualised online shopping experience
Personalized content and offers can inspire customers who visit a website without a specific purchase intention and support interested parties in researching and selecting products. To make this experience a reality in the C&A web store, the experts at Up Reply developed a targeted personalization strategy for the fashion retailer's website.
The cornerstones of this strategy were the implementation of the Dynamic Yield platform, the establishment of a "Center of Excellence" and continuous A/B testing. All of this ensured a targeted and smooth implementation and enabled a forecast sales increase of 2.5% for C&A. In the future, it is planned to extend personalization to the C&A app.
The advantages of personalized content
Added value for customers and retailers
Projects like this not only improve the shopping experience for customers, they also have clear benefits for retailers:
The established German fashion company C&A stands for timeless fashion in best quality and at affordable prices. With 1,300 fashion stores in 17 European countries, the company has become a popular destination for fashion enthusiasts. Its 27,000 dedicated employees form the centrepiece of this success story. C&A.com represents the brand's flagship store, transferring the world of timeless fashion into the digital age. The online shop features user-friendly shopping, inspiring customers and helping them find the most suitable outfits that underline their personality and meet their needs.
Data Reply is the Reply Group company specialised in data management using Big Data & Advanced Analytics methodologies. Data Reply supports customers in the design and implementation of data platforms that aim to enhance and capitalise on corporate information assets. Data Reply is a team of Big Data Engineers and Data Scientists with extensive expertise and a high number of Big Data systems in production.