Revolutionizing Online Advertising with AINARs Contextual Video Advertising

Introducing AINAR’s Contextual Video Advertising Approach

Contextual video advertising is transforming the way ads are presented in AVOD and FAST services. Have you ever watched a sad movie on TV that was suddenly interrupted by an upbeat, loud ad? How did it make you feel? Did you suddenly find yourself switching gears emotionally? Did the ad seem jarring and inappropriate? It can happen when the screen fades to black just before a scary reveal. Or in the middle of a fight scene, just as the camera changes to a new subject. Sometimes, it even interrupts dialogue mid sentence. On AVOD and FAST services, ad breaks can be all over the place.  FAST channels frequently have vast catalogs of content without the types of ad markers that have been used by TV broadcasters for decades. Perhaps a service acquired a large library of shows, perhaps it is content that wasn’t previously monetized with ads. Or maybe that kind of metadata just got lost in the licensing process. Whatever the case may be, it can leave viewers feeling like they’re constantly being interrupted by ads. At the same time, advertisers are trying to reach those viewers in a way that doesn’t disrupt their viewing experience. AINAR Ad Breaks addresses this with AI, ensuring ads match the story’s mood and tone.

Our AINAR Contextual Ad Breaks analyze everything that is going on in the scene leading up to the ad break, including mood, environments, activities, objects, celebrities, brand safety filters, spoken topics and much more. All this data ensures that your ads are placed next to the most contextually relevant moments in any content.

The scene data includes over 3,000 keywords from audio analysis, topic keywords from transcripts and more than 700 mood tags. All this data is also being mapped and aligned with the 3.0 Interactive Advertising Bureau (IAB) Taxonomy standard to enable programmatic targeting. This precision not only enhances viewer engagement but also boosts ad recall, making the message more impactful.

We survey of over 3,500 respondents in Europe and the USA between the ages of 18-64, the report reveals that while the majority of viewers accept ads to watch content for free, most are not satisfied with the advertising being shown or how it is being displayed .62% of the respondent ages 18-24 have abandoned an ad-supported service because of a poor ad experience. Get the free report here. 

 

 Contextual Video Advertising

Here you can see how AINAR finds the keywords and moods inside of every single scene of the title and also match it to the IAB category taxonomy. 

Non-Disruptive Ad-Breaks with AINAR’s Contextual Video Advertising

AINAR’s contextual video advertising technology is engineered for a smooth viewing experience. We understand the power of storytelling, that’s why we developed the AINAR Ad-Breaks Tool. The Contextual Ad-Break Tool is a game-changing technology that uses deep learning and artificial intelligence to analyze the context, sentiments, and emotions of a movie or TV show. By identifying scenarios within the content that match pre-defined parameters, it suggests accurate ad placements with the right mood and tone.  The result is ads placed at the natural cue points in the story. With contextual ad breaks, viewers don’t feel as if commercials are randomly shoved in during a gripping scene or in the middle of an important dialogue.  Contextual ad breaks keep viewers engaged with the platform and give better ROI for the advertisers. Our own research shows that 62% of the respondents in the ages 18-24 years have abandoned an ad-supported streaming service due to a poor advertising experience.  Get the free report “How to Optimize Your Ad-Supported Streaming Service for Maximum Revenue”

Advanced Ad-Break Detection in Contextual Video Advertising

AINAR employs four sophisticated networks in its contextual video advertising system:

  1. Black frame and speech avoidance detector.
  2. Deep learning network analyzing the story’s flow.
  3. Scene boundary detector.
  4. Shot-similarity algorithm.

These networks collaborate to create a ranking system for ad placement:

  • Rank 1: Full consensus from all networks, indicating the highest quality ad.
  • Rank 2: Agreement from at least three networks.
  • Rank 3: Agreement from at least two networks.
  • Rank 4: (Gap Filler) Relies on the shot similarity network, filling gaps when higher-ranked ad breaks are scarce.

Using Ranks for a Better Ad Experience

By utilizing these ranks, AINAR ensures that ads are placed effectively, even when users fast forward. This approach prevents users from being immediately thrown into an ad, enhancing their experience.

Context-Aware Ad Placement

AINAR’s contextual scene-level insights ensure ads can be intelligently matched to complement the scene leading into the break. This targeted approach is vital for AVOD services, as poor ad experiences significantly contribute to user churn.

Research has found that viewers were twice as likely to remember ads that they saw at contextually relevant moments, compared to traditional TV spots. These ads led to a 13% boost in purchase intent, a 12% lift in positive brand perception, and a 34% jump in “spontaneous awareness.” More than 70% of those surveyed said they preferred contextual ads, highlighting the effectiveness of contextual and targeted advertising.

Why Mood Matters

Research reveals that 74% of consumers prefer ads that align with the content they’re engaged with, significantly impacting recall and favorability. Our AINAR Contextual Ads are not only contextually relevant but also mood-aligned, ensuring a +23% increase in detail memory and a +27% increase in global memory.¹

¹ Study conducted by IAS (Integral Ad Science) in collaboration with Neuro-Insigh

The Impact of Contextual Video Advertising

Contextual ads are more memorable and effective. They lead to higher brand perception and purchase intent. With AINAR, ads are placed in contextually relevant moments, resonating with viewers emotionally.

Our technology can “watch” a movie as a human would and understand the mood and feelings contained in a film. This helps advertisers keep emotions at the heart of their campaigns and ensure that the ads are well placed in the proper emotional context. By understanding the context of the content, our technology can enable smarter ad placement decisions. This helps ensure that the brand values are associated with the proper emotional context while also making more efficient use of the budget. The end result is an ad-viewing experience that resonates with users on an emotional level, leaving a positive and memorable impression.

In conclusion, AINAR Contextual Ad Breaks is a game-changing technology that uses deep learning and artificial intelligence to analyze the context, sentiments, and emotions of a movie or TV show. By identifying scenarios within the content that match pre-defined parameters, it suggests accurate ad placements with the right mood and tone, leading to better engagement and more effective campaigns. The power of storytelling is at the heart of this technology, which ensures that the ads are well placed in the proper emotional context, leaving a positive and memorable impression on the viewers. The increasing importance of contextual targeting makes AINAR Contextual Ad Breaks a critical currency in the advertising industry, providing a seamless and enjoyable viewing experience.

The Importance of Context in Advertising

With the changing digital landscape, contextual targeting is key. AINAR focuses on ad environment, offering tailored experiences. This method is more engaging than traditional advertising.

Conclusion: AINAR’s Role in Contextual Video Advertising

AINAR Contextual Ad Breaks is a game-changer in advertising. It uses AI to place ads in the right emotional context. This approach leads to a positive viewer experience and effective ad campaigns.

FAQ: Vionlabs’ Contextual Video Advertising Technology

What is contextual video advertising?

Contextual video advertising is a method of placing ads that align with the mood, tone, and context of the content being viewed. This ensures that ads are less disruptive and more engaging for viewers.

How does AINAR’s Contextual Video Advertising work?

AINAR uses deep learning and AI to analyze the context, sentiments, and emotions of a movie or TV show. By identifying scenarios within the content that match predefined parameters, it suggests accurate ad placements that align with the right mood and tone.

What are the key features of AINAR’s Contextual Ad Breaks?

  • Mood and Tone Analysis: Analyzes scenes for mood, environment, activities, objects, celebrities, brand safety filters, spoken topics, and more to ensure ads match the story’s context.
  • Precision Targeting: Uses over 3,000 keywords from audio analysis, transcripts, and more than 700 mood tags, all mapped to the IAB Taxonomy standard.
  • Non-Disruptive Ad Breaks: Places ads at natural cue points in the story to avoid disrupting the viewer’s experience.

How does AINAR improve the ad-viewing experience?

AINAR’s technology places ads in contextually relevant moments, preventing interruptions during gripping scenes or important dialogues. This approach enhances viewer engagement and reduces ad fatigue, leading to higher satisfaction and better ROI for advertisers.

What are the benefits of using AINAR’s Contextual Ad Breaks?

  • Enhanced Viewer Engagement: Ads are placed in a way that aligns with the content, keeping viewers engaged.
  • Higher Ad Recall: Viewers are twice as likely to remember ads seen at contextually relevant moments.
  • Boosted Brand Perception: Contextually placed ads lead to a 13% increase in purchase intent, a 12% lift in positive brand perception, and a 34% jump in spontaneous awareness.

How does AINAR’s technology handle ad placement?

AINAR employs four sophisticated networks:

  1. Black Frame and Speech Avoidance Detector: Ensures ads do not interrupt dialogue or important visuals.
  2. Deep Learning Network: Analyzes the story’s flow.
  3. Scene Boundary Detector: Identifies natural breaks in the content.
  4. Shot-Similarity Algorithm: Finds suitable ad breaks when higher-ranked options are scarce.

What impact does contextual video advertising have on user retention?

Contextual ad breaks significantly reduce user churn by providing a seamless viewing experience. Our research shows that 62% of respondents aged 18-24 have abandoned ad-supported streaming services due to poor advertising experiences.

How does AINAR ensure ads match the emotional context of the content?

AINAR’s AI “watches” the content like a human, understanding the mood and feelings in a film. This helps place ads that resonate emotionally with viewers, enhancing ad recall and favorability.

Why is mood alignment important in advertising?

Research reveals that 74% of consumers prefer ads that align with the content they’re engaged with. This alignment significantly impacts ad recall and favorability, leading to better campaign results.

How does AINAR handle programmatic targeting?

AINAR’s scene data is mapped and aligned with the IAB 3.0 Taxonomy standard, enabling precise programmatic targeting. This ensures ads are shown to the right audience at the right time, maximizing effectiveness.

What makes AINAR’s Contextual Video Advertising a game-changer?

AINAR uses deep learning and AI to analyze and understand the context of content, ensuring ads are placed at the most suitable moments. This leads to higher viewer engagement, better ad recall, and more effective advertising campaigns.

How can I learn more about AINAR’s contextual video advertising?

For more information on AINAR’s role in contextual video advertising and how it can benefit your platform, connect with us!

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