At the heart of every creative project lies a burning question: do we know what captivates our audience? And as if that isn't enough of a challenge, how can we make sure that in a sea of content,
our work reaches its audience?
Data to the front
In the dynamic world of audiovisual entertainment, understanding what audiences truly want has proven to be an elusive quest. As content creators, producers, distributors, and delivery networks
strive to capture the hearts and minds of viewers, a fundamental question persists: Can we predict what our audiences actually want to see? How precisely can we decipher their preferences through
what we know about their behaviour? These questions form the basis of the upcoming conference session Decoding audience behaviour.
The rise of data analytics has opened up unprecedented opportunities to gain deeper insights into the nuances of viewer engagement. Tried-and-true success recipes exist for various audience
segments - be it location, age, or else - however, is relying solely on proven success sufficient? Amid the plethora of similar rom-coms, action movies, and serial dramas, true success stories
blend creative intuition, calculated artistic risk, and data-driven insights.
So how can you predict if a production will succeed? While producers tend to work much more with feeling, distributors usually prefer to base their decisions on facts and figures. This does not
mean that producers don’t work with data: calculated risks can be taken through research into prior similar productions, encompassing target groups, actors, and profiles. The success of a series
can even depend on the online popularity of cast members.
Join us at 11-11.45 AM on September 27th to dig
deeper into the themes above, and take a 360° look into audience behaviour.
..OK, so you’ve produced your masterpiece which people will fall in love with, now onto the next struggle: making sure the audience can find it!
Navigating the content chaos with finesse
As a central part of the rapidly evolving digital age, the audiovisual sector has witnessed a surge in content and platforms, offering audiences a sea of choices like never before. From the
multitude of streaming platforms to Video-on-Demand (VoD) services by broadcasters and the explosion of Free Ad-supported Streaming TV (FAST) channels, it’s safe to say the AV industry is not
stagnant. However, this abundance of options has given rise to a new challenge: how can audiences navigate this sea of content while maintaining a seamless and personalized viewing experience?
Spread across various apps and platforms, audiences have a hard time to access all the content that they desire. The need for aggregating these fragmented content providers has become paramount,
and the industry is gradually acknowledging the importance of centralizing content distribution to ease the burden on consumers.
As audiences juggle multiple platforms, the issue of recommending content across these platforms has also gained importance. Imagine a scenario where a viewer enjoys a crime drama on one
streaming service and is seeking a similar experience on another – how can platforms seamlessly suggest relevant content across different services? This challenge has spurred innovation with
advancements in algorithms and AI, enabling cross-platform content recommendations.
Moreover, recognizing that a one-size-fits-all approach no longer suffices, the AV industry has embraced personalization to cater to individual preferences: through user behavior analysis,
content providers are tailoring recommendations, interfaces, and even content creation to align with viewers' tastes. This level of personalization enhances engagement and loyalty, as well as the
overall viewer experience.
As the industry evolves, audiences can look forward to more streamlined content discovery experiences, unified recommendations, and increasingly personalized entertainment. The era of navigating
a fragmented AV landscape is gradually giving way to a more integrated and user-centric future.
During Aggregate, recommend, personalize: The tech behind it
all, we will look closer into possible solutions such as emerging aggregator platforms, unified recommendation engines and customizable interfaces which aim to revolutionize
the way we navigate the ever-evolving AV landscape. Join us at 12-12.45 AM on 27th of September to explore all the latest in recommendation technology.