Helsinki, April 24, 2025 – Finland has welcomed a new streaming service for movies and TV series: Kotikino (eng. Home Cine), launched in April by Finnish company Nordic Content Distribution Ltd.. The service is built on the Icareus Video Cloud OTT solution.

Nordic Content Distribution (NCD) introduced its first streaming service Kirjastokino, aimed at public libraries, already back in 2019. It quickly gained widespread popularity and is now available in over 100 Finnish municipalities. However, the streaming landscape has changed. Many viewers feel that digital services have become too similar and often fail to offer anything truly interesting to watch. One reason for this is that most streaming decisions are made outside of Europe, leading to increasingly homogenized content and service models – leaving many films and genres out of reach.

Home Cine’s mission is to highlight and provide access to high-quality European movie and TV-series content.

“We’ve noticed that this kind of content easily falls into limbo while major international platforms take time to decide on their acquisitions. In addition, we plan to focus on other underserved genres, such as children’s films, anime, horror, and sci-fi, which also tend to be overlooked in many streaming services,” says the team behind the service.

At launch, Home Cine offers around 2,000 films, plus TV series and episodes. The catalog will expand weekly with new titles, meaning the service is constantly evolving.

One key advantage compared to many other platforms is that Home Cine offers both a monthly subscription and a rental model for individual films.

The platform is built using Icareus OTT platform, solution packed with versatile features that enable full management of the video service, including:

  • Uploading and migrating movies and TV series via a user interface or API integration
  • Video preparation, transcoding, categorization, and metadata management
  • Monetization through paid content packages and optionally advertisements
  • End-user registration and account management
  • Global content delivery via a robust CDN
  • End-user interfaces and video apps for various platforms
  • Analytics and reporting tools

In addition to the video platform, Icareus designed and developed Home Cine apps for iOS and Android. Smart TV applications will be released in the next phase of the service.

With Icareus Video Cloud handling the technical side, NCD can focus on content and building customer relationships instead of platform maintenance and development.

Home Cine is available on web at https://kotikino.fi and as mobile apps in app stores under the name Kotikino.

Nordic Content Distribution Oy is a Finnish company founded in 2019. It develops and operates the Kotikino (eng. Home Cine) and Kirjastokino (eng. Library Cine) streaming services. The company is privately owned, and its team has over 50 years of combined experience in the video and media industry across various companies and services. Read more: https://kotikino.fi tai https://www.linkedin.com/company/nordic-content-distribution/

Icareus Ltd is a growing and profitable Finnish company providing SaaS video cloud services. Our company serves customers from over 60 countries. Icareus OTT solution is a turnkey white-label video cloud solution for media, TV and content owners. It offers versatile tools for the production, management, publication and (optionally) commercialization of live streaming, videos and events.
More information: https://icareus.com/products/white-label-ott-platform/

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As audience measurement systems grow to include vast amounts of data from Smart TVs, set-top boxes, and HbbTV devices, a key question emerges: Can we trust the data?

Traditional panel-based systems earned trust over the years by being transparent and built on solid statistical methods. But today, we’re dealing with data from tens of millions of devices, coming from diverse sources. To keep that same level of trust, we need new ways to make sure the data is accurate, reflects real audiences, and isn’t open to misuse.

Key approaches to ensuring trustworthiness

Here’s how the industry is addressing this important issue:

1. Calibration against panels

Even as big data takes a larger role, panels haven’t disappeared – they’re being used to calibrate and validate device-level data.

For example:

  • In the U.S., Nielsen still relies on its panel data to model demographics like age and gender, since this kind of information typically isn’t available from devices themselves.
  • This hybrid approach ensures that while millions of devices can tell you what was watched and when, panels still help answer the all-important question: who was watching.

2. Third-party validation & auditing

To maintain credibility, many measurement systems and data providers undergo independent audits or validation by third-party organizations. Some notable examples include:

  • The Media Rating Council (MRC) in the U.S., which audits and accredits measurement methodologies. Nielsen, for instance, lost its MRC accreditation for national TV ratings in 2021 but regained it after making improvements to transparency and accuracy.
  • AGF Videoforschung in Germany and AGTT in Austria have introduced HbbTV-based measurement alongside traditional panels and often rely on external technical audits to ensure data consistency.
  • BARB in the UK is actively exploring streaming measurement integration and works with independent partners to ensure its hybrid systems meet their rigorous standards.

These audits typically evaluate:

  • Sampling methods and representativeness
  • Data collection integrity
  • Device filtering and de-duplication
  • Privacy compliance
  • Transparency in modeling and reporting

3. Anomaly detection & filtering

Device data can be noisy or even misleading – for example, a Smart TV left on all day with no one watching, or a set-top box reporting phantom views due to firmware quirks. Traditional panels usually avoid these problems, as users are required to log in/out or interact during the viewing session.

To address these challenges, many systems now use:

  • Machine learning algorithms to detect and filter out anomalies
  • Cross-device matching to minimize duplication
  • Event validation, such as cross-referencing broadcast schedules or using Automatic Content Recognition (ACR) to fingerprint content, ensuring accuracy

4. Transparent methodology reporting

As measurement methods grow more complex, trust is built through transparency. Leading measurement providers now publish methodology papers, technical specifications, and change logs to keep broadcasters, agencies, and advertisers well-informed.

For example, Austria’s Teletest 2.0 project shared details about including HbbTV data, the scale of the data (1.1 million devices), and how it would be integrated alongside the existing panel.

This transparency helps demystify the process, boosting stakeholders’ confidence in using the data.

Why verification matters, maybe more than ever

With real financial decisions (ranging from ad spend to content commissioning) relying on viewership data, trust is non-negotiable. As data volumes increase and new collection methods emerge, so does the potential for error or manipulation. Independent audits, hybrid models, and transparent processes are crucial to ensure that the data behind billion-euro decisions remains reliable.

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Audience measurement has traditionally relied on small, representative panels such as those maintained by Nielsen, Kantar Media, AGF Videoforschung and BARB. While these have offered consistent benchmarks for decades, the explosion of viewing options across digital, time-shifted, and connected platforms has outgrown the limitations of small-sample data.

The industry is shifting toward a more comprehensive approach that blends traditional panels with actual data from millions of connected devices – like Smart TVs, set-top boxes, and HbbTV platforms. The result is a more detailed view of what people are watching, when, and on which device – but not without some challenges.

Why traditional panels are losing ground

Traditional panels have been useful, offering things like solid demographic insights (age, gender, household makeup) and a long history of trust. They’ve given broadcasters a standard ‘currency’ to sell ad space and provided advertisers with a verified audience.

Panel-based measurement systems are statistically solid, but their small scale can be a problem. Many shows – especially niche or regional ones – might not get recorded at all if none of the panel households were watching. Nielsen, for instance, found that in just one quarter, over 8,000 programs showed ‘zero ratings’. Not because no one watched, but because the panel missed them.

In a media landscape that values speed, panel systems fall short, taking days to report viewership data, especially for time-shifted content. To add to that, traditional people meters often miss second-by-second behavior and may only track when a person starts or stops watching, or give average-minute data.

Traditional panels have a difficult time accurately measuring mobile and OTT streaming, capturing out-of-home viewing (such as in public transit or coffee shops), or accounting for shared account usage (such as a whole family watching under one Netflix profile). These blind spots are reflected in the data.

While panels still play a core role – especially in modeling who’s watching – they’re now being supplemented (or even competed with) by device-level data and hybrid methods that introduce more speed, scale, and precision.

It’s not the end of panels: it’s the evolution into one piece of a much broader measurement ecosystem.

How big data enhances the picture

To close the gaps in traditional measurement, audience measurement providers have started integrating “big data” from connected devices. These sources include:

  • Return-path data (RPD) from set-top boxes
  • Automatic content recognition (ACR) from smart TVs
  • HbbTV platforms, which enable hybrid data collection from both broadcast and broadband environments

By tapping into these data streams, providers can build a more complete, granular, and real-time view of viewer behavior.

For example, Nielsen now uses data from over 30 million devices in the U.S. to supplement their panel, leading to more accurate readings—especially for smaller or time-shifted audiences.

The same trend is seen on a number of markets where the old TV audience measurement firms have started measuring both linear and FAST channel streaming consumption, as well as VOD viewing by broadcasters. This has prompted them to introduce total reporting on all viewed video on all platforms, or Total Video. It used to be that TV meant broadcast or cable. Now it’s video people view “all the time”: on TVs, phones, tablets, laptops, Live, on-demand, or time-shifted, On broadcast, YouTube, Netflix, TikTok, Disney+, etc., in-house, out-of-home, or on the move.

Traditional measurement systems couldn’t capture this full picture. Advertisers, content creators, and broadcasters need comparable, consolidated, and transparent data to understand audience behavior in this fragmented landscape.

Real life examples are Nielsen One, Kantar CrossMedia or Médiamétrie.

Real-world examples show that audience measurement is changing

In Turkey, the broadcaster ATV adopted an HbbTV-based audience measurement system. It allowed them to collect anonymized viewing data from over 2 million connected Smart TVs through interactive apps, enhanced guides, and catch-up services. This gave the channel deeper insight into how viewers consumed content, without relying solely on estimates.

Austria also offers a compelling case. In September 2024, AGTT (Austria’s TV measurement body) launched Teletest 2.0, which combines its traditional panel data with information from over 1.1 million HbbTV-connected devices. This hybrid model enhances reliability, reduces volatility in small target groups, and better represents niche channels. Time-shifted viewing data is now available as soon as the next day. It’s a strong step toward scalable and stable audience measurement that matches today’s complex viewing environment.

Persidera, Italy’s leading independent digital terrestrial network operator, has also expanded its service offerings to include advanced audience measurement solutions for broadcasters. The accurate and real-time audience measurement allows broadcasters to gain immediate insights into viewer behavior without the delays associated with traditional panel-based metrics. The data is gathered from over half a million daily active devices.

User consent on smart TVs: a critical gatekeeper

A significant element when collecting data from Smart TVs is user consent. Due to privacy concerns and regulations like GDPR and other similar frameworks, manufacturers and content providers must obtain explicit permission from users before collecting and sharing their viewing data. Consent is usually obtained through on-screen prompts during TV setup or app installations. For HbbTV platforms, a consent banner is displayed to the users as soon as they enter a channel.

Although individual opt-in rates differ based on a variety of factors, overall trends indicate that American consumers exhibit higher rates of consent for Smart TV data collection than their European peers. The distinction is primarily governed by local privacy legislation and data privacy attitudes in society. Additionally, the openness and character of the consent mechanism employed by different Smart TV makers significantly affect user opt-in rates.

Some brands have faced criticism for less transparent consent processes, burying ACR (Automatic Content Recognition) opt-ins deep in long terms and conditions so that it becomes hard for users to make an informed decision.

It’s important to mention that these rates have a direct impact on usable data volume for measurement systems. Even when millions of devices are deployed, only a subset of them actually report because of consent constraints.

Challenges in scaling real-time audience measurement

As connected device data becomes central to audience measurement, it brings significant challenges. Measuring millions of devices means collecting, processing, and storing vast volumes of second-by-second data. A single Smart TV might send tuning data every few seconds – multiply that by 10+ million devices, and you’re dealing with petabytes of data each month. This demands highly scalable cloud infrastructure, real-time data processing pipelines (such as Apache Kafka, Spark, etc.), and robust data governance.

Device and platform fragmentation makes it difficult to ensure consistent data collection across all these devices. APIs differ, firmware updates break things, and some platforms (like Apple TV or Netflix) may not allow third-party measurement at all.

For high quality data, identity resolution and deduplication is needed. One person might start watching on a Smart TV in the living room, then switch to their phone in bed. How do you know it’s the same person? And how do you avoid counting them twice?

In many cases device-level data doesn’t reveal who is watching. Panels are still worth it in such cases. On horizontal markets this may be more of an issue than on vertical platforms where you most likely have access to the subscriber data.

All technical challenges can surely be overcome, but building a robust, scalable, privacy-compliant measurement system is expensive. Smaller broadcasters or markets may not be able to afford these capabilities unless they partner with vendors or benefit from national-level solutions. In most cases it is still cheaper than building and running an audience panel with custom hardware.

The bottom line then becomes the quality and trustworthiness of audience data. How can we ensure that it’s valid, correct and reliable? This is where national panels may still hold strong value: to serve as a true currency for advertising, audience data needs to be validated.

The shift is happening, and it will benefit everyone

The shift to real-audience measurement fueled by connected devices is not just a technical change – it’s a cultural one. Advertisers and broadcasters can now gain insight into actual viewership at a level of granularity that is beyond estimates based on small panels. But to realize the full potential of this change, they must balance scale of data with ethical issues around consent and privacy.

As Smart TV and HbbTV adoption continues to grow, the marriage of panel-based and device-based measurement will likely be the industry standard, providing the best of both accuracy and reach.