Discover the success story of Semprefarmacia

Client database development

Implementation of the two-step newsletter sign-in form provides the company with a more coherent development of the client database. It also allows gathering detailed data on more engaged, valuable clients. In the first step, we only ask for an e-mail address. In second, the clients may give us all the useful details, if they so desire. The solution shortens the conversion path and enables the acquisition of more declarative client data.

Anonymous traffic conversion

The social proof solution enables us to put some healthy pressure on the anonymous site visitors. The module displays in real-time the number of visitors currently watching the product our client is interested in. This boosts the attractiveness of the offer and supports active sales.

Advanced behavioral and transactional segmentation

Implementation of the segmentation module significantly increased e-mail campaign results. The precise choice of the target groups enables the delivery of personalized offers in the perfect moment.

Dynamic, AI Copernicus-based, recommendation frames

Implementation of the real-time product recommendation to the site broadened the campaign range. The intelligent product recommendation, driven by the AI Copernicus, was implemented in the recommendation frames form.

Retaining client’s interest in the watched products

Implementing the after-the-visit message helps to retain the client’s interest in the product. The personalized e-mail contains the list of recently watched products. Moreover, it contains the preference-based recommendations, chosen by the system.

Next, the intelligent workflow monitors the clients’ activity. If an e-mail was not open in 24 hours period, the system sends the message again, under a new topic, in order to maximize OR.

The two-step process of saving the abandoned cart

The saving process is driven by the recommendation system. The module is alerted when the cart is being abandoned. In this instance, it sends the client an e-mail, containing the list of the abandoned products. It also contains the recommendations frame, with content matched by the AI on the transaction data basis.

The system also monitors the clients’ reactions. If the transaction is still not finished in a given time, the client receives another message, this time containing a discount coupon. The two-step model effectively delivers motivation in a crucial moment of the decision process.