Video Machine Learning Skyrockets Mobile Engagement by 16.8X (Case Study)

Posted on October 14, 2015 by Ryan Shane

Video machine learning technology called KRAKEN skyrockets mobile consumer engagement by 16.8X for the Interstellar Trailer (case study).

COMPANY

Social networking for influential moms
SocialMoms began in 2008 as a popular community site for moms looking to build their reach and influence through social networking, traditional media opportunities, and brand sponsorships. It now boasts over 45,000 bloggers, reaches more than 55 million people each month, and has a network of influencers with more than 300 million followers on Twitter.

CHALLENGE

Create engaging mobile digital media campaigns for women 25-49
SocialMoms brings top brands to millions of women each month. They are responsible for ensuring that each campaign not only reaches the intended audience, but also that it be engaging and meaningful. However, it was challenging to get meaningful audience engagement with video campaigns on their smartphones.

SOLUTION

Responsive visuals optimized for mobile

KRAKEN replaces a video’s old, static default thumbnail with a responsive set of “Lead Visuals” taken from the video. It treats each endpoint differently, so it can optimize a movie with one set of visuals for a desktop site and another set of visuals for a mobile site—because people respond differently depending on which device they use for viewing.

RESULT

Maximum lift of 16.8X on mobile for the Interstellar Campaign
After KRAKEN’s “Lead Visuals” optimization, engagement via mobile skyrocketed. SocialMoms saw over 16.8X increased engagement compared to the original default thumbnail that was chosen for the desktop site. They also reported higher completion rates when running KRAKEN.

“We’re seeing the highest engagement levels for our customers using InfiniGraph’s KRAKEN powered content.”
– Jim Calhoun COO
SocialMoms

Download InfiniGraph’s Interstellar Case Study (PDF)

Read our Birdman Case Study

Would you like to learn more about video machine learning? Request a demo!

Video Machine Learning Boosts Consumer Engagement by 309% (Case Study)

Posted on September 15, 2015 by Ryan Shane

Video machine learning technology called KRAKEN boosts consumer engagement by 309% for the Fifty Shades of Grey Trailer (case study).

COMPANY

AnchorFree: The most trusted VPN service in the world!
With a monthly active user base of over 25 million and 350 million installs to date, AnchorFree’s Hotspot Shield VPN is the largest free VPN service in the world. It has an unparalleled ability to protect users’ IP from spammers, snoopers, and hackers, provide Wi-Fi security, and detect and protect against malware.

CHALLENGE

Increase revenue from limited inventory
In order to keep Hotspot Shield free, AnchorFree relies on advertising. With finite inventory and users, increasing consumer engagement is very important, as this results in a higher yield for each video. They are constantly looking to generate more interest and engagement with each longform video placement to increase advertising revenue.

SOLUTION

Responsive visuals at programmatic scale

KRAKEN uses machine learning technology to replace static thumbnails with a programmatically optimized set of “Lead Visuals.” This directly results in higher user engagement. AnchorFree is therefore able to increase yield from a finite user base and inventory.

RESULT

Consumer engagement increased 309% with the Fifty Shades of Grey Campaign
Over the course of the campaign, KRAKEN was able to increase consumer engagement by 309% when compared to the trailer using a standard default thumbnail. AnchorFree was able to generate additional revenue leveraging existing customers and without having to add inventory.

“Without KRAKEN running, we would be leaving money on the table. I can’t imagine why anyone would run video without first optimizing it with KRAKEN.”
– Baglan Nurhan Rhymes
Chief Digital Officer, SVP Global Revenue
AnchorFree

Would you like to learn more about video machine learning? Request a demo!

Download InfiniGraph’s Fifty Shades of Grey Case Study (PDF)

Read our Birdman Case Study

Video Machine Learning Drives 40% Additional Revenue (Case Study)

Posted on September 8, 2015 by Ryan Shane

Video machine learning technology called KRAKEN drives 40% additional revenue for the Birdman Trailer (case study).

COMPANY

Most trusted VPN
service in the world!
With a monthly active user base of over 25 million and 350 million installs to date, AnchorFree’s Hotspot Shield VPN is the largest free VPN service in the world. It has an unparalleled ability to protect users’ IP from spammers, snoopers, and hackers, provide Wi-Fi security, and detect and protect against malware.

CHALLENGE

Increase revenue from video longform placements
In order to keep Hotspot Shield free, AnchorFree is constantly looking for ways to increase their customers’ engagement levels and average revenue per user (ARPU). Regardless of premium placement on the AnchorFree launch page, the video ads were producing less than desired click-to-start and completion rates. Before KRAKEN, AnchorFree tested with various forms of static default thumbnails attached to the video promos.

SOLUTION

Responsive visuals at programmatic scale
KRAKEN uses machine learning technology to optimize “Lead Visuals” in a programmatic structure, enabling the highest video engagement possible. KRAKEN became the preferred platform to maximize video revenue yield from their current advertiser base.

RESULT

40% revenue gain for the Birdman campaign
KRAKEN boosted click to play rates for the Birman trailer video campaign by a staggering 3,000%. This increase in click to play rates directly resulted in a 40% gain in revenue. After realizing such profound revenue gains, AnchorFree does not run high value video campaigns without KRAKEN.

“InfiniGraph’s Kraken technology is the first real breakthrough we have seen in many years. I can see Kraken being implemented by digital broadcast networks, publishers, ad networks and video player platforms in the very near future. Early adopters will turbo charge their video ad revenues on desktop and mobile.”

– Baglan Nurhan Rhymes
Chief Digital Officer, SVP Global Revenue
AnchorFree

Would you like to learn more about video machine learning? Request a demo!

Download InfiniGraph’s Birdman Case Study (PDF)

Read our American Sniper Case Study

Video Machine Learning Sustains a 378% Lift Over 48 Days (Case Study)

Posted on August 26, 2015 by Ryan Shane

Video machine learning technology called KRAKEN sustains a 378% video play rate lift for the American Sniper Trailer over 48 Days (case study).

COMPANY

AnchorFree: The most trusted VPN service in the world!
With a monthly active user base of over 25 million and 350 million installs to date, AnchorFree’s Hotspot Shield VPN is the largest free VPN service in the world. It has an unparalleled ability to protect users’ IP from spammers, snoopers, and hackers, provide Wi-Fi security, and detect and protect against malware.

CHALLENGE

Maintain engagement over long periods of time with the same media

AnchorFree shows movie trailers as part of their advertising campaigns. A single campaign with various video content might last two months. Before KRAKEN, AnchorFree would see engagement peak when videos were launched, but steadily decrease over time. Engagement levels decreased as users saw the same thumbnail over and over, slowly becoming blind to it. This phenomenon is called video fatigue.

SOLUTION

Responsive visuals at programmatic scale

KRAKEN replaces a video’s old, static default thumbnail with a responsive set of “Lead Visuals” taken from the video. Since it is powered by machine learning, KRAKEN continually optimizes the set of “Lead Visuals” to ensure a consistently high engagement rate, even over long periods of time.

RESULT

Average lift of 378% for the forty-eight day American Sniper Campaign
Over forty-eight days, KRAKEN was able to increase engagement by an average of 378% for a single American Sniper video trailer. With a consistently high yield, Anchor- Free was able to run the campaign longer to maximize revenue versus using a standard, static thumbnail.

“We run trailers for weeks, even months at a time. Only after optimizing with KRAKEN have we been able to see consistent and high levels of engagement from the beginning of a campaign to the end.”
– Baglan Nurhan Rhymes
Chief Digital Officer, SVP Global Revenue
AnchorFree

Would you like to learn more about video machine learning? Request a demo!

Download InfiniGraph’s American Sniper Case Study (PDF)

Read our Birdman Case Study

Native Content Amplification Achieves 16.5 Percent CTR

Posted on September 2, 2014 by Chase McMichael

Val Kuncheff Del Grande Dealer Group eCommerce / Digital Marketing Director

Content amplification is a must have for any brand looking to maximize their content assets and increase their content effectiveness. DGDG is the largest automotive dealership in the San Francisco bay area with 13 locations representing 14 auto brands. “With InfiniGraph’s native content amplification we increased our content exposure over our websites boosting greater time on site” - Val Kuncheff Del Grande Dealer Group eCommerce / Digital Marketing Director

The challenge
DGDG wanted to increase their customer time on site and achieve greater interaction with their content. Each of DGDG’s dealerships are creating outbound content yet there wasn’t a central area to discover all of the content unless you found each new post on each individual site manually. They also needed a way to cross promote their content in real-time based on the most engaged content greatly increasing their total content exposure. Would you like to see how they launched their native content amplification? Registration is free.

DGDG, the largest family owned automotive group serving the entire San Francisco Bay Area. Click through to see Native content amplification over all dealerships in action.

The solution
Leveraging InfiniGraph’s real-time native advertising solution they were provided with content recommendation and content amplification over all of the DGDG sites. All content is analyzed to obtain a Trend score based on engagement which is then packaged within a native insertion unit used to visually surface their trending content. DGDG placed these units in strategic areas on their site.

The results
DGDG was able to achieve:

16.5% CTR back to the site’s content
100% increase of time on site
60% decrease in bounce rates

Consumers are most engaged when they are given engaging content. This sounds intuitive yet most brands have static text, dead visuals, and bland thank you pages after a customer performs some action.

These actions include:

simple email opt-in
filling out a form
requesting a meeting
making a purchase, etc.

DGDG Native Content Insertion thank you page. Smart use of tending content to bring customer back into a website.

DGDG Native Content Insertion thank you page. Smart use of tending content to bring customers back into a website.

DGDG did it right and directed all entries and requests back to highly interactive, native content insertion pages with amazing trending visuals achieving 16.5% CTR back into their site. Every location has its own native content amplification HUB providing their customers with quick access to the latest automotive trends. DGDG took advantage of this turn key native content experience providing ongoing and consistent real-time content recommendations.

Mobile optimized native insertion on DGDG mobile content. Screen shots from an iPhone 5s. All actions regardless of web or mobile created a slick user experience. Above is the mobile rendering of DGDG trending content.

Would you like to see how to launch your very own native content amplification? Registration is free.

Social Intelligence Drives Improved Facebook Ad Buy – InfiniGraph Case Study

Posted on March 9, 2011 by admin

Client: DigitalEye (for its client Golden Spoon)
In January, Golden Spoon ran a Facebook ad campaign. Golden Spoon owns and operates three stores in Coachella Valley, Calif. The ad was designed to drive traffic to the company’s Facebook fan page with the call to action being “Like” this page (see illustration below). Fans were also asked to complete a registration form to join Golden Spoon’s e-mail list.

Objectives
DigitalEye wanted to improve the Facebook ad buy targeting efficiency for Golden Spoon by using InfiniGraph’s Social Intelligence analysis to improve social targeting based on what consumers are connected to and most active around (brand affinity).

Discovery – Find brand affinities that are most relevant to the target audience.
Activation – Use trending brand affinities to increase targeting, clicktrough rates, “Likes” and improve purchase conversion.

Tasks included running a Social Intelligence analysis on Golden Spoon’s Facebook page and Twitter profile to obtain brand affinities, which were applied to the Facebook ad buy.

The prospect list was further refined using InfiniGraph’s Social Intelligence Brand Affinities feature, which taps into like-minded groups on Facebook, based on relevancy and activity.

The geographic target was Palm Springs and a 50-mile radius, while the demographic target focused on people ages 14 and up, women, as well as families (see illustration above).

Shown below is Golden Spoon’s “Affinity Map,” which shows how their target audience interacts with other brands. The Affinity Map was used to directly specify the company’s Facebook ad buy in the “follow by like” and interest area.

Brands, products and services consumer interact with the most (Affinity Map)

DigitalEye used InfiniGraph’s control panel to gain additional social intelligence and to determine what brands were trending most. Social Intelligence also aided in increasing clickthrough rate and reaching the most active consumer base.

Results
Top-line results were as follows:

Clickthrough rate: 6%
Liked page fan: 51%
Conversion to buy: 18%*
Same store sales: up 13.7% during promotional period.

* Coupon redemption rate was reported to be approximately 18% with each e-mail promotion.
New Facebook likes were up 162%, while monthly active users rose 105%. Post feedbacks were boosted 612% and post views increased 249%. DigitalEye CEO Gary Brewer adds “We’re running promos on slow days Mondays and Tuesdays on Facebook and sales are equivalent to what they are on a weekend.”

DigitalEye’s campaign tactics are shown below:

Golden Spoon’s Facebook fan page and sign-up form.

Post was picked up by ClickZ Tuning Your Content: Social Media for Content Publishers

CONTACT US TO SEE MORE EXAMPLES OF USE (VIA WEBEX) ( sales@infinigraph.com )
Social Intelligence Drives Improved Facebook Ad Buy – InfiniGraph Case Study (PDF)

Video Machine Learning KRAKEN

Tag Archives: case study

Video Machine Learning Skyrockets Mobile Engagement by 16.8X (Case Study)

COMPANY

CHALLENGE

RESULT

Video Machine Learning Boosts Consumer Engagement by 309% (Case Study)

COMPANY

CHALLENGE

SOLUTION

RESULT

Video Machine Learning Drives 40% Additional Revenue (Case Study)

COMPANY

CHALLENGE

SOLUTION

RESULT

Video Machine Learning Sustains a 378% Lift Over 48 Days (Case Study)

COMPANY

CHALLENGE

SOLUTION

RESULT

Native Content Amplification Achieves 16.5 Percent CTR

Social Intelligence Drives Improved Facebook Ad Buy – InfiniGraph Case Study