Driving sales on your online website can be tricky compared to driving sales on a marketplace. The UI, personalization techniques, assortment, pricing, and trust of retailers’ own websites can be some of the concerns that a new customer might have. It’s easy to get a website up and ready on a framework such as WooCommerce or Shopify, but difficult to drive sales easily as most retailers witness when they go live. This blog tries to list some tricks and techniques to make the website experience more comfortable for customers.
Recommender systems aim to predict users’ interests and recommend product items that quite likely are interesting for them. They are among the most powerful machine learning systems that online retailers implement in order to drive sales. Recommendation system preferences come out in the format of You may also like and help customers feel a sense of personalization.
An eCommerce site search solution is a search engine that is either built-in or integrated into an online store, and its job is to find the products the user is looking for by matching the user’s search keywords with the products on the store. Site search encompasses more than just the search box; it also refers to faceted search, product ranking, and synonym management. As per data that we have at Deepflux, 30% of products at retailers are discovered by users on the website using the internal site search.
Product Filters and Sorting
In online stores, product filters, which are simply given parameters on a prepared list, allow users to narrow down the number of items displayed in a given category. The most frequently employed filters in e-commerce include:
Product filtering options in online stores usually differ depending on the names and specialization of a given brand or category. This solution undoubtedly has a positive impact on the UX as thanks to it people don’t need to waste time going through the entire product range.
Frequently Bought Together Products
Technically an upsell feature, the automated Frequently Bought together section is populated with products that are more often browsed and purchased by other customers. When customers buy more than one item at a time, it increases the profitability of retailers. The aim is to push customers to add more items to their cart. Frequently bought together widget is developed to increase cart size. This technique uses ML techniques like an item to item relationships and provides tremendous improvement to a lot of retailers.
These functionalities on the website can help retailers increase their website sales and improve customer experience. DeepFlux can help retailers adopt such best techniques to improve website sales. To explore more of DeepFlux product and services, get in touch with email@example.com