Enhancing Media User Experience
How one media-service provider dynamically tailors their content based on user’s taste
In the past decade, media has grown from a weekly viewing schedule, to a long-scale quick binge fest. So, with so many options to choose from, how do media companies decide what are the best options to show you?
When it comes to personalization and dynamically tailoring, media companies often turn to data visualization.
Finding the Best Viewing Options
For media service data visualization engineers, finding the right options is more than just utilizing past choices. With so much content curated, media services have a data lake of information, scanning beyond individual users.
To help expand user experience data visualization helped analysts combined and weave together their findings of raw data, analytics, business insights, and visual storytelling.
Connecting the Relationship Dots
But relationships don’t stop at just one viewer. Data visualization can also show connections between users with similar taste. With this data insight, the media company not only used individual preferences, but utilized many other areas to help create a “more inclined” viewing relationship.
From watch patterns based on audiences in every country, and even state, to utilizing similar profiles, the company was able to draw connections between each point to visually make insightful choices.
Data visualization helped to not only combine preference choices, but showcase the best options in each genre category, down to the best thumbnail to show for viewing options.
With Arcade, you are able to visually see the connections of recommendation system. By visually assessing the different areas, you can more easily create
Using data, you can update recommendations in areas including:
- Research Articles
- Social Tags
- And More
No matter what area, Arcade’s tools help make predicating the behavior of a user better by utililizing past choices. This in turn creates a more dynamic and enjoyable user experience.
With easy-to-view connections and preferences, companies can recommend the best options for the viewers taste. Based on past performances and stated preferences, the best movie is a click away.
When placed into a visual graph the relationships and close identities are easy to connect. Helping to:
- ENHANCE CUSTOMER EXPERIENCE
- PREDICT USERS’ BEHAVIOUR AND DECISIONS
- ENHANCE BUSINESS STRATEGIES