Q4 2014 Video Discovery Trends Report: Consumer Behavior Across Pay-TV, VOD, OTT, Connected Devices, and Content Discovery

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The Pay-TV landscape is rapidly evolving, new video services are emerging, and as a result consumers’ TV viewing habits are changing. With all the options available it’s important to keep a pulse on key trends, such as how consumers are leveraging these new services and devices. How are these affecting Pay-TV providers? What adjustments should Pay-TV providers implement?

Download this quarterly report to get real, unbiased feedback on a variety of key topics including:

  • Key quarter-over-quarter trends, and new year-over-year trends across Pay-TV, VOD, OTT, TVE, and content discovery.
  • In-depth analysis of consumers’ opinions on finding content, viewing habits, VOD purchases, and more.
  • Are cord-cutting, cord-thinning, and cord-cheating really threats for Pay-TV providers?
  • Awareness, adoption, and usage of Pay-TV providers’ TV Everywhere solutions.
  • Usage of devices for video content: tablets, smartphones, gaming devices, and new streaming devices.
  • Deep dive into whether content recommendations are improving the Pay-TV experience and increasing satisfaction. /li>

Leverage Personalized Data to Increase Subscriber Trust and Engagement

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Video service providers must accept that subscribers perceive various levels of trust in their Pay-TV service. It’s extremely important to fully understand and recognize subscribers’ sentiments towards their Pay-TV service before delivering marketing promotions, whether it’s for VOD rentals, premium packages, or new services, etc.

By leveraging personalized subscriber data, Digitalsmiths has classified four main groups, defined the level of trust each group recognizes in their video service provider, and how to optimize content discovery efforts based on this actionable data.

Download this white paper to better understand:

  • How to leverage personalized subscriber data to group subscribers
  • The four key groups: Non-Engaged/Low Viewing, Non-Engaged/High Viewing, Engaged/Low Viewing, Engaged/High Viewing
  • How to leverage Multivariate A/B Tests to deliver the right promotion, at the right time
  • Real examples of how personalized content promotions, based on real view data, can increase ARPU and Engagement

Content Discovery Tips Series:
Data-Powered Personalized Content Discovery:
Tips on What Data Really Matters and How to Manage the Data

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It is no secret that video service providers are faced with an enormous amount of video metadata, all of which is in its own silo. In addition, the enormous amount of viewer behavioral data (views, records, etc.) required to properly power personalized recommendations. Then, the real question becomes, how can you wrangle value from all this data, and analyze it to create innovative content discovery features.

It’s imperative to understand what data really matters and what technology is needed to leverage a full dataset to power high quality, accurate personalized content discovery features?

Download and learn:

  • What video metadata really matters when powering personalized content search and recommendations
  • Top 4 best practices for identifying and managing video metadata
  • What technology and methods are needed to manage scalability to power the most accurate recommendations
  • What data is needed to properly analyze the performance of a content discovery platform

Content Discovery Tips Series:
Personalized Search Challenges and Best Practices

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Personalized search is one of the many key ways in which viewers want to discover content. It’s imperative that once discovery has been deployed, Pay-TV providers should continue to monitor how subscribers interact with the personalized search functionality. Provided with the right engagement data, Pay-TV providers can continue to optimize the personalized search implementation to ensure that it continues to increase overall customer satisfaction and engagement.

Download and learn key challenges and best practices to deploy personalized search:

  • Best practices to help with efficiency and accuracy of personalized search
  • Examples of successful and unsuccessful personalized search implementations
  • How content searches perform on keyboarded devices versus non-keyboarded devices
  • How to minimize and leverage data to reduce future failed searches

Crushing Data Silos: Unified Information Access Provides Foundation for Next-Generation Video Applications

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It is no secret that video providers are faced with an enormous amount of video metadata, all of which is in its own silo. David Schubmehl, Research Director for Search, Content Analytics and Discovery research for IDC, researched and analyzed the complexities associated with video metadata issues in relation to unified information access.

Download this white paper to learn the key obstacles, trends and benefits associated with robust video metadata management, and the consumer-facing technologies this unified information powers such as personalized content recommendations, natural search, voice navigation and more.

Download this white paper and learn:

  • The characteristics associated with unified information access platforms for video metadata
  • Key obstacles, trends, and benefits of robust video metadata unification
  • The consumer experience as a result of high quality unified video metadata
  • How Digitalsmiths Unified Data Service™ fits into the big picture of unified information access
  • An analyst’s insight into long-term trends in the evolving space of technology powered by unified video metadata

Digitalsmiths Receives Frost & Sullivan’s Product Leadership Award

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After a non-biased, third-party review of the industry landscape, Frost & Sullivan recently awarded Digitalsmiths the Product Leadership Award for delivering excellence in the personalized content discovery space. Frost & Sullivan’s Product Leadership Award began with the identification of a number of content discovery vendors, followed by an extensive analyst review of product features, innovation, market acceptance, value and quality level of each vendor.

Download the report to read the full analysis of how Digitalsmiths Seamless Discovery® stacked up to industry competitors.

For the Product Leadership Award, the following criteria was used to benchmark Digitalsmiths’ performance against key competitors:

  • Product Features/Functionality
  • Innovative Element of the Product
  • Product Acceptance in the Marketplace
  • Provides Customer Value Enhancements
  • Product Quality

Guide to Evaluating Personalized Video Search and Recommendations Platforms:

Key Considerations for Your Team and Potential Vendors

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It is common news pay-TV subscribers are increasingly frustrated with having to work to find personally relevant TV shows and movies. In addition, they have more OTT alternatives to turn to for their video needs than ever before. As these dissatisfactions continue to chip away at the provider’s bottom line, improving the video discovery experience is a top priority for Pay-TV providers big and small.

This unbiased guide will assist Pay-TV providers with the analysis and identification of the ideal search and recommendations platform by outlining key functions in the decision-making process including:

  • The five steps to include in the decision-making process
  • Key considerations for internal teams involved
  • Key questions to ask the vendors each step of the way
  • Helpful hints to ensure the chosen platform meets business goals and improves satisfaction

Personalized Video Discovery:
Best Practices for Optimizing Revenue Streams

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The pay-TV industry is getting busier, consumers are more sensitive to cost than ever before, and program licensing fees are rising. To protect their bottom line from these threats, pay-TV providers need to pursue revenue-generating strategies that simultaneously boost ARPU and deliver superior value to consumers, without raising monthly rates.

The ideal personalized search and recommendations platform enables pay-TV providers to boost revenue and engagement, by removing the walls around VOD and premium catalogs and pushing relevant content to consumers.

Download and learn:

  • The direct revenue impact of blended content in personalized discovery platforms
  • Today’s viewing trends, and how these platforms improve the discovery experience
  • Must-have features for the ultimate video discovery solution
  • Revenue-generating examples for each key feature
  • Key technical requirements to guarantee it’s the most powerful, accurate solution

The Data-Driven Video Discovery Evolution

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The video discovery landscape is quickly evolving, and the future is seamless. The new data-driven approach is transforming content business models and creating new monetization opportunities.

Download and learn:

  • How your content can better connect directly to the personal preferences and profile attributes of each individual viewer
  • Why a fully integrated and “blended” platform is critical to success in a multi-platform, multi-device marketplace
  • What immediate and long-range returns you can expect from a true discovery solution

Advances in Personalized Navigation: The Key to Next-Gen TV Experiences

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As the TV landscape continues to get busier it becomes more important for providers to deliver an appealing experience to consumers. Today’s viewers are faced with an overwhelming amount of content and have no way to easily identify something that interests them. This article walks through today’s viewing habits, and illustrates the power that personalization has on the content discovery process.

Download and learn:

  • The latest viewing trends among US consumers
  • The role personalization plays in increasing customer engagement and monetizing content across all viewing devices
  • The key components needed to power the most accurate search and recommendations engine