Personalized Recommendations App Reviews

eCommerce trends show consumers spend more money when their experience is personalized. In a rapidly growing digital world, personalization has almost turned out to be an unwritten law. This trend has indeed benefited leading retailers and is now a game-changing feature in the eCommerce world.

Personalized Recommendations from Tagalys are tailored to each visitor, enhancing the personalization experience to the highest standards.

Personalized Recommendations displays products based on the visitor's interest at the store. Without any personally identifiable information (PII), Tagalys records visitor action at the online store to predict what products are of the highest interest to the visitor & displays them.

Most online visitors are mobile-first, on the move & time-bound. They do not have the patience to scroll across collections to discover products. Personalized Product Recommendations reduces the time to product discovery, as only relevant products are shown to them. They help visitors quickly find products of personal interest. Most visitors who land into your store through marketing campaigns do not make a purchase at their first-time visit. They are more likely to come back to the store only if relevant and personalized products are shown to them.

Recommendations by Tagalys are realtime and are available to the visitors right from their very first session at the store.

Tagalys's recommendations are accessible to online visitors from anywhere in the online store, improving the visitor experience. Without any disturbance to the existing page layout & design, it fits seamlessly across the online store and only visible when clear intent is displayed by the visitor.

The Tagalys dashboard includes a UI customization panel where merchants can make changes to blend with their online store. The position of the Recommendations CTA button can also be custom placed based on your requirements.

Tagalys stores no data that contains personally identifiable information. Actions are tracked via cookies that cannot be traced back to personally identifiable information