Put your customer data to use and deliver personalized customer journeys that anticipate your customers’ needs without having to ask them - all powered by machine learning.
Yusp can accurately and quickly predict which content works best for your customers’ individual preferences.
Traditional data analytics is often limited when addressing fast-changing and unstructured data.
With the application of machine learning algorithms, Yusp identifies correlations among millions of data points in real-time and constantly improves the performance by learning from the results.
The engine takes several factors into consideration, such as the visitors’ habits, the distinct properties of your products and the context of browsing.
Yusp incorporates multiple data sources to give you a 360-degree view of your customers’ journeys.
The engine analyzes data from the online activities of both known and first-time visitors.
Yusp implements product attributes - such as name, price or category - for segmentation.
Yusp also considers the context of the customer browsing like the location or the time of the day.
Yusp can also take into account additional data sources to improve the performance of recommendations.
Integrate Yusp’s machine learning into your business strategy to discover customer segments and personalized recommendations, while saving resources.
Get the most out of your data without taking risks. Your investment will always be in-line with the added value generated by using the Yusp engine.