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Yusp is a machine learning based real-time personalization engine having all product modules as defined by Gartner as well as other product modules, which enable to personalize online and offline customer experience.
Category
Personalization Software and Engines Software
Features
•Product Recommendations •On-site Personalization •Search Personalization •Mobile Personalization •Email Personalization •In-store Personalization •Personalized Couponing •Social Personalization •Online ad retargeting personalization •Shopping cart abandonment •Next product to buy for retail banks •TMT video service personalization
License
Proprietary Software
Price
Contact sales
Pricing
Subscription
Free Trial
Available with Yuspify for eCommerce platforms
Users Size
•Small •Medium •Enterprise
User Industry
•eCommerce •Bricks & Mortar •Video streaming and sharing •Telecommunication •Media publishing •Retail banking •Wholesale distribution •Classified advertising
•Personalized Couponing •Social Personalization •Online ad retargeting personalization •Shopping cart abandonment •Next product to buy for retail banks •TMT video service personalization
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
8.6
9.3
Features & Functionality
8.7
7.5
Advanced Features
8.8
9.5
Integration
8.6
7.2
Performance
8.7
10
Customer Support
8.8
10
Implementation
7.3
Renew & Recommend
6.8
Bottom Line
Yusp is a machine-learning powered personalization engine having all product modules as digital personalization engine defined by Gartner as well as other product modules, which enable to personalize the physical shopping experience.
8.7
Editor Rating
8.5
Aggregated User Rating
5 ratings
You have rated this
Yusp is a machine-learning powered personalization engine having all product modules as digital personalization engine defined by Gartner as well as other product modules, which enable to personalize the physical shopping experience. These include product recommendations, on-site, search, ad retargeting, social, email, mobile and in-store personalization. Yusp increases customers revenue in ten business models like e-commerce, online marketplace, publishers, brick & mortar retailers and retail banks.
Yusp has never lost any A/B test against competitors or in-house solutions thanks to its exceptional algorithmic portfolio, which incorporates predictive, adaptive learning analytics to anticipate future behavior or estimate unknown outcomes. Yusp’s scalable, performance-oriented architecture enables real-time responses within milliseconds (with SLA guarantee) all around the globe from one of the 4 data centers.
The team behind Yusp, as an R&D company, has been focusing on Data Science since 2006: the research and development of recommendation algorithms and their applications to a multitude of business models. The core of this team comprises of the same data scientists that, as the leaders of The Ensemble team, tied for first place in the Netflix Prize competition and are now also key members of the EU-funded CrowdRec project which aims to develop the next generation of recommendation systems.
The company's vision is to enable enterprises with large clientele to engage with their consumers by using exceptional machine learning algorithmic portfolio, which incorporates predictive, adaptive learning analytics to anticipate future behavior or estimate unknown outcomes on a low-cost, low-risk basis. Supported by its worldwide strategic partnership with Deloitte, the company is a prominent player of the next generation digital transformation and personalization landscape.
Apart from the enterprise solution, Yusp is available for small&medium sized eCommerce platform users (like: Shopify, WooCommerce, Prestashop) through Yuspify's simplified integration, enabling the usage of sophisticated machine-learning algorithms for every online retailer.
Yusp Features
Product Recommendations
On-site Personalization
Search Personalization
Mobile Personalization
Email Personalization
In-store Personalization
Personalized Couponing
Social Personalization
Online ad retargeting personalization
Shopping cart abandonment
Next product to buy for retail banks
TMT video service personalization
Yusp Pricing
Custom Quote
Yusp ScreenShots
Yusp personalization engine
Online and offline business models
Explainer video
Yusp FAQ
What data sources and signals can be used for personalization?
The Yusp personalization engine generates personalized recommendations based on a 360° view of the customer incorporating information from several sources: - visitor behavioral data – user interactions (both implicit and explicit) collected from online user activities, including real-time session data; - item (product/content) data – any structured data available in CMS or ERP system describing the recommendable contents or products; - context information – contextual information defining the conditions of the recommendations in real-time (such as the user device, user location, browser type, time of the day, etc.); - corporate data sources (CRM/BI system/data warehouse) – any user data from corporate data sources like CRM or internal data warehouse.
Do you have free trial?
We enable to build strategic capabilities on a low-cost, low risk basis (low cost of failure both monetarily and in terms of impact on the business) with minimal upfront investment requirement. Based on our experience, the impact of the personalization on visitors’ behavior increases with the increased number of personalized visitor’s touchpoints. Also, the larger the surface of personalized visual elements on a domain, the greater the impact of personalization. Therefore it’s crucial to select the right scope for testing. It is also important to note that personalization can have its full impact if personalized visual elements of the website – such as content recommendation boxes, carousels – are easily visible for visitors (above the fold), and personalized listing is the default option for content listings. If the rights scope is selected, we expect considerable increase in the total revenue and other important business KPIs of our clients. Otherwise, if the personalization is constrained only to “recommendation boxes” there is a significant risk that no tangible added value of personalization to the overall revenue can be identified, even using the most sophisticated machine learning algorithms. That’s why we always propose to carefully select the scope for testing in cooperation with Yusp.
Which eCommerce integrations do you support out of the box?
Yusp has out of the box integration with Shopify, Prestashop and Woocommerce, but Yusp can be integrated with any e-commerce platform of CMS using it’s REST API or one of the client libraries. There is a client library for Java, PHP, Android and iOS.
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