Data Collection and Personalisation

Data forms, follow buttons, topic keywords, feedback, segment tags and recommendations that build consented reader profiles and personalise pages.

Content Recommendation

Keep readers on your site with recommended stories that match what they are reading, in layouts that fit your pages.

Data Form

Collect the first-party data you need, such as interests, preferences or contact details, with no-code forms shown at the right moment.

Follow Button

Let readers follow the topics they care about in one click, and use what they follow to personalise their experience.

User Feedback

Ask readers whether a page helped them, or ask your own question, and save every answer to their profile.

Topic Keyword

Turn topic tags on your articles into follow buttons, so readers can follow a subject right where they see it.

Segment Tag

Tag readers by the pages they read, with nothing shown and no click needed, and use the tag in segments, targeting and ad audiences.

Frequently Asked Questions

What is div insertion in the UniSignIn Experience Engine?: Div insertion is a feature that allows dynamic content to be inserted into specific sections of a webpage using CSS selectors. This feature enables real-time content updates without refreshing the entire page, allowing for a smoother user experience and reducing cumulative layout shift (CLS). It's a useful tool for personalizing content and keeping the user experience seamless.
How does the content recommendation feature work in UniSignIn?: The content recommendation engine in UniSignIn uses advanced AI and machine learning to analyze real-time user interactions, first-party data, and contextual factors like user location and time of day. It then delivers personalized content recommendations to users based on their interests and browsing patterns. This leads to a more engaging experience and can increase page views and user retention.
What are the benefits of using a follow button in UniSignIn?: The follow button allows users to subscribe to specific topics or sections on a platform. This way, they can receive personalized notifications about changes or new content, keeping them engaged and updated. This feature also provides data that can be used for further personalization, enhancing user experience and loyalty.
What makes the UniSignIn content recommendation engine unique?: UniSignIn's content recommendation engine stands out due to its integration with first-party data, AI and ML-based optimization, and consideration of various contextual factors. It also provides real-time recommendations through its API, allowing publishers to deliver personalized content instantly. The ease of setup and the use of first-party data ensure better accuracy, privacy compliance, and continuous optimization, making it a robust solution for publishers and content creators.