Even the most extensive and well-curated catalog of movies, TV shows, and other video content, at some point, will see users switch their leaning option from discovery (backward) to search (forward).
Search is a universal behavior on any digital platform, and it often acts as the gateway to user satisfaction. However, traditional search engines frequently fall short, delivering a flood of results that aren’t always relevant to what the user is looking for.
They rely solely on matching the relevance of keywords to catalog entries, which doesn’t account for individual user preferences, watching habits, or engagement history.
As content libraries grow, the gap between available content and users’ preferences only widens, leaving users frustrated when they can’t easily find something they know they’ll enjoy.
That’s where the concept of a personalized search comes into play, bridging the gap between what your platform offers and what your users want to watch.
This UX Engine feature combines advanced algorithms with a deep understanding of users’ behavior, preferences, and engagement patterns to create a truly personalized search experience.
The personalized search engine doesn’t just return a list of matching titles; it analyzes a variety of factors to score each asset. The scoring system evaluates the content’s relevance to the query while also considering the user’s viewing history, previous interactions, and explicit preferences.
Personalized Search ensures that users are presented with search results that are not only accurate but also more likely to appeal to their unique tastes.
If a user searches for “Tom”, results might prioritize movies with Tom Cruise in the cast because its relevance is higher in the catalog. If we switch to the personalized search, the same user will get a list of items with Tom Hanks instead, as UX Engine knows this is what the user is really looking for.
In the end, the only thing Tom Cruise and Tom Hanks have in common is their first name.
Personalized Search enhances users’ satisfaction by cutting down on search time and delivering highly relevant content faster.
When users are shown content that aligns with their tastes and preferences, the likelihood of engagement increases significantly, driving higher playtime, satisfaction, and overall platform loyalty
By understanding and adapting to users’ evolving preferences, Smart Search reduces the chances of users abandoning the service out of frustration and increases the likelihood of them finding exactly what they want.
Personalized Search transforms a basic search function into a dynamic tool that enhances the user experience and strengthens the connection between the users and your platform.
A from basic to expert content recommendation maturity model rooted in twenty years of video personalization experience.