We realised that many merchants are not unleashing the full power of Linkcious so we want to illustrate what Linkcious can do.
This article is for merchants who want to recommend related products using product tags. Different product pages will use different product tags to recommend products.
The merchant can get creative and recommend products using keywords such as “white”, “orange”, “square”, earrings”, tables” etc.. and Linkcious will recommend groups of products based on the keywords chosen.
There is a bit of coding but the difficulty level is really easy.
For each bra, Adore Me shoots multiple versions of images to run on its website. The distinctions between the pictures might include different models wearing the same set in the exact same position, or the same model in the same set in a different position, for example. Then, like any good tech company, it tests the options to find out which one sells better.
Who will you click?
Fast Company published an article recently about the lingerie company Adore Me detailing how doing A/B testing helps them drive interaction and increase sales. This happens all the time on the Internet, for example, Netflix A/B tests its recommendations to increase revenue; Google A/B tested the color of its ad links to maximize clicks and the Obama campaign A/B tested its website to maximize campaign donations.
THIS.. is similar to how Linkcious helps small ecommerce merchants. Not everyone has the capacity to write an in house solution to select product recommendations and we take machine learning and artificial intelligence and it them accessible to smaller merchants.
Linkcious automatically test out different products in different layouts and will choose to show products that customers are most interested in.
Try Linkcious today, it only takes 5 minutes to set up.