In the television world, generating new revenue can be a significant battle. Broadcasters and video service providers face growing competition for eyeballs, changing viewer demands, cost pressures, and an array of regulations, amongst other challenges. As the television industry evolves, broadcasters and service providers need to find new ways to attract viewers, engage audiences, and increase revenue.
This article will highlight some of the key challenges that broadcasters and video service providers face when monetizing content and offer innovative solutions for generating new TV revenue, including personalized FAST channels, targeted TV advertising, tailored content packages, and shoppable TV.
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The shift to CTV and advanced TV advertising is creating new challenges for advertising sales teams. These teams need to be able to sell and manage a wider range of ad products across a more complex ecosystem. They also need to be able to measure the results of their campaigns more accurately.
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In the early days of streaming, subscription costs were low, and viewers were spoilt for choice by series after endless series of top-quality content – think House of Cards, Orange is the New Black and Stranger Things to name just a few. It was this promise of low costs and a seemingly never-ending stream of top-quality content that helped to entice consumers away from cable TV. The steady growth in subscriber numbers allowed for an unprecedented number of new shows to be ordered, which in turn helped to bolster growth. Many dubbed this the era of Peak TV. Streaming services reached record breaking subscriber numbers in 2020 as a result of the pandemic. Netflix reportedly added an extraordinary 36 million subscribers in that period which led it to pass the 200 million mark for the first time.
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The holiday season is almost here – and with its arrival comes a surge in TV viewership. It’s when brands look to reach consumers in the most effective and innovative ways possible. The possibilities of realizing better ROIs increase as content owners can enhance their reach and revenue with a higher inflow of ads. Streaming, the most popular TV viewing option during the holidays, offers advertisers and content owners a unified sweet spot to meet the bottom lines faster and deliver an exceptional experience to viewers.
FAST (Free Ad-supported Streaming TV), enabling lean-back viewing, offers unique ad experience advantages over AVOD (Advertising Video on Demand), which is lean-forward. Whether it is easy content discovery or offering more ad opportunities, FAST provides better monetization avenues for content owners.
Here’s how content owners can elevate their monetization strategy on FAST.
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Media has come a long way from its traditional production journey. The advent of artificial intelligence (AI) has revolutionized the previously linear path of content production, transforming the process by creating new efficiencies and allowing content to have a second life beyond its initial creation and broadcast.
With AI’s robust capabilities in tagging, managing, and preparing content, production teams can now maximize content usage while optimizing resources, creating a more reliable flow of content even in times of high demand or disruption. In this article, I’ll delve into the evolving media ecosystem, highlighting the role of AI in content management, monetization, and the industry’s future.
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The world of video content moves quickly. It’s in ceaseless motion, and this goes hand in hand with technological advancement. In this scenario, it becomes paramount for operators and distributors in the streaming space to create seamlessly functioning architectures. It’s all about tech stacks that must normalize workflows and bring together data from multiple existing services. Of course, this is far easier said than done as content owners wish to enhance their offering with a feed of growing requirements which platform operators have for their own streaming services. Progress is perpetual, think of ratings for movies and series, specific categories for niche programming, or even broadcast identifiers.
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The media landscape is constantly evolving, and businesses that want to succeed in advertising need to be able to adapt to change. One of the biggest challenges facing media organizations today is how to manage multi-revenue streams. With the rise of FAST (Free, Ad-supported, Streaming Television), businesses need to be able to sell advertising across a variety of channels, including linear TV, digital, and streaming.
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With big players in the industry leading the way, ad supported subscriber growth has turned into a key strategy for content owners and broadcasters, with many exploring this offering to reach users in new markets and grow subscribers. Global AVOD revenue is forecast to reach $70 billion by 2027 and while the concept of ‘free’ content is not new, ad-tech hasn’t kept pace with the pixel race for video quality. While technology limits the quality of ad delivery, broadcasters continue to miss out on the full potential of ad revenue. So, what is the current state of ad technology? And can codecs help broadcasters meet consumer expectations while also improving ad-engagement?
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Media content delivery generates a lot of logs. This is a fact well understood at G&L, since we facilitate the distribution of audio and video content, live and on-demand, for some major broadcasters and official bodies to end users. We know well that log data has no lesser commercial value than the content itself. Log misdelivery can lead to short-term profit losses for streaming and broadcasting service providers. These issues can affect advertising exposure assessment, long-term planning, and more. Providing accurate data and analytics alongside our core services is our dedication, duty, bread and butter.
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Unless you are a hermit, you cannot fail to have noticed all the talk about AI at the moment. It is everywhere.
If you believe the hype, then we are all doomed. The machines are ready to take over, and there will be no need for any human to do any work ever again. We are all rather more cynical than that, and we know deep down that we can probably hang on to our jobs at least for a while.
For a long time now, we have known one fundamental thing about computers. They are good at dull, repetitive tasks, while people are good at creative tasks. And, despite the reports in the popular press, AI largely conforms to that rule.
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