E-commerce has long been a part of our lives. It came to fill that gap in the shopping options of physical stores: finding just what you are looking for any time, anywhere.
However, eCommerce has also led to consumers shifting their behavior from traditional to online sales. Consumers who often don’t know exactly what they want, and who go browsing to find surprises and be tempted to buy, browse the pages every day.
Digital commerce has therefore developed solutions for this behavior: shopping activity based on spontaneity, novelty, and discovery.
Discovery eCommerce or Discovery Shopping?
First of all, let’s emphasize that when it comes to eCommerce, there is no right answer for all brands. There are solutions or tools that work for some and not for others.
And secondly, the two types of discovery we will see are not mutually exclusive and can be mixed.
On the one hand, we call discovery eCommerce the online sales method based on guiding the buyer to a product.
On the other hand, discovery shopping consists of pleasantly surprising a user who visits websites. But without a defined purpose, either by exploring a catalog or by receiving suggestions.
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Advantages of discovery eCommerce
Using filters and categories as well as search engines allows users to segment their search within an eCommerce. The better organized and easier, the more potential customers we will get.
In addition, it increases the chances of a consumer discovering a brand or product by browsing a website using this type of software. Knowing this information will be an excellent opportunity to capture leads and apply your retargeting strategy.
And, having good discovery software will allow you to analyze which products are the most popular in terms of searches. It is also a great opportunity to sell new products or items that would otherwise go unnoticed.
Examples of eCommerce Discovery
Doofinder is a search engine that allows users to easily find the product they are looking for. Regardless of the number of items on the site, thus increasing eCommerce sales by offering quick results.
The search engine solves one of the common problems in eCommerce such as the loss of sales. That is because users cannot find what they want, even if there is enough stock of the product on the site.
In addition, Doofinder allows you to have complete control of the search engine, which makes it possible to customize the results, so it’s possible to decide which products you want to show and in what order.
Discoverfy is a Software as a Service First-Party that helps eCommerce to optimize their funnel by capturing data to better understand their users and offer real-time recommendations.
Its tool, the Tinder-style swiper, will allow you to improve the conversion of your eCommerce thanks to the collection of this data, while the user enjoys a unique, personalized, and fun shopping experience.
By swiping left and right (like, dislike), users discover products and receive personalized recommendations thanks to the machine learning integrated into the swiper.
Following Google’s announcement to stop using Third-Party Cookies, Discoverfy is emerging as one of the solutions for all those eCommerce that do not want to stop collecting user data.
Moreover, the integration of the plug-in in your eCommerce is very simple, since it can be installed in less than 2 minutes.
Viume is an AI-driven software for eCommerce platforms based on product and customer selection through individualized recommendations.
Leveraging image recognition and self-adaptive algorithms, Viume accelerates the business to be truly customer-centric and predictive.
One of its functionalities is automatic product labeling. Automatic labeling easily recognizes the product in the image and automatically labels it with the most specific attributes and categories.
Accurate product tags and categories help eCommerce to improve their customers’ product search experience and optimize SEO.
That’s all for today! We hope you liked these business trends and found them inspiring.
Thank you very much for reading us as always.
See you in the next post 🙂
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