You can’t have a meeting these days without someone throwing out the platitude “data is key”, but all too often, we find that even with the vast amounts of data being collected, business leverage of this valuable data is a problem
At our recent Personalization Summit, RichRelevance recognized several customers who are innovating in Personalization with awards. One of the award categories recognized retailers who have shown the greatest initiative to engage in personalization best practices, optimizations and/or testing initiatives.
Leading fashion brand, GANT has seen online sales improve by 15% since putting their trust in personalization.
GANT wanted to move away from a manual, time-consuming recommendations platform to improve their overall site experience as well as enhance their navigation.
It’s almost the most wonderful time of the year! And we know it’s also retail’s busiest, so we’re here to help you get in the holiday spirit and also make sure you get the most magic (and ROI) out of your personalization platform.
You spend a lot of time optimizing your website to streamline the shopper’s path through the retail funnel—making sure they see value at each point along the way. Once you navigate the shopper to the right product, it’s important that you take the necessary steps to seal the deal, and get the shopper across the finish line.
I wanted to highlight a particularly interesting case study of RichRelevance customer, PriceMinister. The second most visited ecommerce site and leading marketplace in France, PriceMinister, part of the Rakuten Group, was looking for a personalisation platform to help improve their commercial performance and give them a competitive edge.
Although we may not be flying around in rocket ships quite yet, retail today is about as futuristic as anyone could have imagined. It’s hard to envision a world without the 24/7 on-demand access to the endless aisles of ecommerce retail.
Comprehensive product intelligence enhances cross-sell and upsell with personalized merchandising strategies based on product attributes and compatibility