Branded Content Current Landscape

Current Landscape

Branded Content

Branded Entertainment Network

B.E.N is the 1st global network for brand integration founded in 1989 by Bill Gates

Selling point: gives reach into platforms that are impenetrable to traditional ad sales models by placing companies’ products in shows and movies.

In 2016, B.E.N had over 6,000 placements in shows alone. They work with rights holders to get access to copyrighted content for campaigns.

A Few B.E.N Placed Brands

Dunkin Donuts

House of Cards Netflix

Chevrolet

House of Cards Netflix

Chevrolet

Deadpool Netflix

Tincup Whiskey

Jessica Jones Amazon Prime

One Plus Smartphone

House of Cards Netflix

Hangar 1 Vodka

Portlandia Netflix

Netflix

Netflix’s stunning disclosure that it lost 200,000 subscribers in the first quarter of 2022 and expects to lose 2 million has set the industry on edge - not because Netflix is a barometer of entertainment-sector health, but because it is furthest along the path that its rivals - Apple T.V. to Disney to Warner Bros - are all treading.

Dunkin Donuts featued in Netflix's original Orange is the New Black

Amazon Ads

Ads appeared throughout shows in 2016 and sparked a ton of backlash from viewers

No more ads as of today except pre-roll trailers before shows/movies promoting Amazon original content

Almost all Amazon shows have at least 1 product placement (exception include period content)

Amazon Prime Preroll Ads

X-Ray for Prime Video

X-Ray is available for all Amazon Studios original content. For acquired content, only those that are popular have X-Ray available.

X-ray is powered by IMDb who were bought by Amazon back in 1998.

Amazon Prime Video X-ray

X-Ray Content Types

Scenes

Scenes

Users can view and navigate to all scenes here. Scenes are on average between 3-7 minutes long.

Behind the Scenes

Behind the Scenes

B-roll footage, bloopers and easter eggs are found here. Only a few Amazon Original studios works have this feature turned on.

Cast

Cast

Here lies an actor's photos, a short biography and other works. An actor can curate their photos so their fans only see photos you want them to see.

Trivia

Trivia

Users can find fun facts about the show here. Trivia cards can have different headings depending on what type of information it contains.

Music

Music

Directly links users to buy the song on Amazon Music.

Characters

Characters

Here lies a character's photos and their short biography as it relates to the content. Users can link to the actor who plays the chracter to read more.

Artificial Intelligence

Accenture Interactive

In June 2016 Accenture Interactive created an Artificial intelligence to create programmatic video advertisements.

Their A.I. can automatically overlay product placements on streaming video content. Potential billion dollar revenue generator within 5 years.

Accenture aims to land deals with original content creators like Netflix and Amazon while casting a wide net to even YouTube vloggers. This may lead to new business models for companies like Netflix.

As of today, Accenture Interactive has filed 4 patents and created a prototype; they debuted it at Cannes Lion Festival of Creativity. They have not yet tested it with brands or publishers due to the discussion over appraisal of the technology.

Accenture Interactive presenting their new A.I. technology

Features

  • Replace existing labeling
  • Rapidly scale and personalize products and logos that appear in content
  • Change logos despite movement
  • Detect surfaces to put objects on as if it was present during filming
  • Aiming to monetize huge back catalogues of existing video content while advertising in a non-disruptive way

Technique

  • Train A.I. to behave like a human and simulate human attention
  • Rapidly scale and personalize products and logos that appear in content
  • Run simulate eye-tracking to create attention heat maps for any video automatically – helps decide what the viewer is paying attention to and place a product in the corresponding area in real time
  • Helps understand impression (i.e., the center has the greatest value for placement because it garners the most attention)

Amazon Rekognition

Image recognition service powered by deep learning

Offers APIs to detect objects and scenes, recognize and analyze faces, compare faces, and search for similar faces in a collection of faces

Currently supports JPEG and PNG image formats and file sizes up to 15MB when passed as an S3 object and up to 5MB when submitted as an image byte array

API analyzes an image and assigns labels based on its visual content using DetectLabels API. The API lets users identify thousands of objects, scenes, and concepts and returns a confidence score for each label. Only the first 10 labels above 70% confidence are reported for each service

Amazon Elastic Transcoder

Rekognition does not yet natively support videos and animated images but the Amazon Elastic Transcoder can be used to process video files and extract images and thumbnails for processing

The transcoder creates video thumbnails in .png format for every second of input video. These thumbnails are then processed and analyzed

Since video analysis is only possible through Amazon Web Services' transcoder and not a native function of Rekognition, video analysis is limited. There is no object tracking or video search available.

Clarifai

Image recognition technology with video recognition

Their API analyzes a video and predicts what’s inside of it

Users can run Predict on their video using a number of Public Models (Apparel, Food, General, NSFW, Travel, and Wedding)

API analyzes and processes inputs at a rate of 1 frame per second, which means a list of predicted results will be given for every second of the video

1 frame of video is equal to 1 operation, therefore a 2 minute video would be 120 frames

Currently supports videos up to 80MB in size or 10 minutes in length if uploaded through URL, and videos up to 10MB in size if uploaded through video bites (base 64)

Clarifai video analysis interface

Google Cloud Video Intelligence

Searchable video

This API allows videos to be searchable by extracting metadata. It annotates videos stored in Google Cloud Storage and helps the user identify key nouns entities in their video and when they occur.

Features

  • Detects labels/entities in the video (such as flower or dog)
  • Detects scene changes in the video
  • Allows developers to extract insights from a video

Use cases

Media companies can build their media catalogs or manage crowd-sourced content using this technology. Companies can also integrate this API into their video management software.

Google Cloud's video analysis with label and scene change detection