The first eshop for the sale and delivery of flowers in Slovakia.
Kvety.sk (since 1999) was the first in Slovakia to specialize in the online sale and delivery of flowers. The goal of the concept is not only to deliver flowers, but mainly to provide a service that helps you make your closest ones happy.Visit their website
What was the goal behind creating the new E-shop?
From the customer’s side, we delivered the new E-shop design based on the results of the analytical tools Hotjar and Google Analytics.
After creating the first functional version of the E-shop, we tested it with real users whom we selected based on data from Google Analytics. Site Usability Testing aims to reveal as many of the gaps that may affect conversion completion. We prepared a test scenario for each tester. The testing was designed to cover as many customer segments as possible.
Based on user testing, we made suggestions for improving the E-shop.
Examples of suggestions for improvement:
Problem: Simplifying and making the main customer profile more attractive.
Solution: Add a personalized greeting, highlight the loyalty program, and graphically organize the individual elements.
Problem: Insufficient information in the calendar, insufficient information on shipping charges.
Solution: Add information to your calendar and add shipping information to a prominent place to avoid having to make comments in the order.
In addition to the E-shop, we also implemented a mobile application for Android. First of all, users stay up to date about news, campaigns and ongoing events. An interesting feature of the mobile application is the possibility to scan the barcodes of the Kvety.sk assortment. By scanning the barcode, you can see the current price and available quantity at the moment. The mobile app is available on Google Play.
Automated user and customer profile creation
After creating the order, the user can decide to create an account. In this case, we will save all the information from his order in the profile, so the customer does not have to enter anything twice.
Collecting data based on user actions on the page
All searches and products viewed by the user are stored in the background. Based on these, we can subsequently create and display recommended products and purchase tips to potential customers.
Recommended for you
A user who clicks on “red tulips” will see products that other similar users have clicked on. So most likely we won’t recommend red tulips again. The products will be displayed in the “Recommended for you” section.
Based on historical data from previous purchases, we will create product lists. Possibilities for using the “buy together” list in your cart and confirming your email. (lists are created automatically with the possibility of human involvement)
Sending emails about unfinished purchases. The email contains a discount voucher that motivates the customer to complete the purchase.
Publish photos of products on your personal Facebook profile. Free organic Facebook campaigns.
Customer segmentation based on their E-shop value. RFM model. Trends in individual segments.
The customer buys flowers for Katka’s birthday. A year later, we will remind the customer of Katka’s birthday by email as well as a personalized banner when returning to the site.