5.
Online stores allow you to recommend related products to the buyer - those that are often bought together with the ordered one. Unfortunately, today not all stores implement this opportunity. And even if this happens, the placement of such products in the "buy with" module often occurs either automatically, according to an algorithm created by the site developers, or those products are shown that the store owners consider mandatory for sale. Very few are engaged in professional merchandising based on customer preferences.
Example from practice
An online plumbing store analyzed user behavior when ordering products. The results revealed a number of patterns. For example, it turned out that up to 30% of customers ordering wall-hung toilets later bu costa rica consumer email list y additional installations with concealed wall-hung cisterns on the site. And about 60% of people buying economy-class built-in kitchen sinks also buy drainage systems. Other connections between different product categories and brands were also revealed.
Next, a telephone survey was conducted of customers who made complex purchases, bought only one product and then made a purchase of a related product, as well as those who bought only one product from the group.
The survey results showed that more than 55% of customers completed their orders over the phone, which created an extra burden on sales managers. This happened because people did not know what additional elements they might need for the final assembly and what accessories even existed. At the same time, an unplanned increase in the purchase budget decreased customer loyalty. Most respondents also noted that if the kits with prices were immediately presented on the website, they would buy them without thinking.
Based on the results of the analytics and survey, work was carried out to form a list of relationships between products. The site was modified based on customer preferences and sales in individual product categories increased to 120%.