Branding Big Data (bbd)

Make Big Data Simple for Programmatic Brand Advertising


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We’re living in the Information Age, the Age of Data — and nowhere is the power of the data revolution more apparent than in advertising. 

Gone are the days when buying and selling advertising was a long, drawn-out, multi-step process, with agencies issuing requests for proposals (RFPs), publishers responding to those RFPs, agents offering purchase recommendations before a brand could approve a bid and, finally, the ads were bought. Today, Madison Avenue is going the way of Wall Street, and brands in industries as diverse as travel, hospitality, finance, cpg and retail are turning to data to guide their decision-making process as Madison Avenue moves to programmatic trading of media. 

Big data has the potential to revolutionize how brands reach and connect with their customers, but there’s one small problem: most companies—brands, publishers and agencies alike—just don’t know how to use it.

That’s about to change thanks to Branding Big Data. We’re setting out on a mission to make data science simple, and revolutionize how businesses across industries make their advertising decisions in a programmatic brand advertising marketplace. 

Branding Big Data is a real-time data measurement company harnessing the power of big data to transform the automated online brand advertising process.

Branding Big Data is a real-time data measurement company that is harnessing the power of big data to transform the automated online brand advertising process.

The mission of Branding Big Data is simple: make data science easy to digest through a single brandscore. The Branding Big Data approach to programmatic advertising is defined by 2 central tools which, taken together, are the “secret sauce” of our recipe:

brandscore

A single number is generated - similar to a credit score for the brand – based on paid (advertising), owned (digital properties), earned media (partner networks) and valuable data points. All of these are transformed using cutting edge big data meta-analysis methodology into a numeric representation of the brand’s power for trading.

 

 

brandsense

Think of this like a Google AdSense of the BBD process: brandsense interprets each company’s brandscore to provide brands, publishers and agencies alike with a clear view of the media purchasing process.

Together, brandscore and brandsense will revolutionize how consumers, content, commerce, and creatives are perfectly calibrated, analyzed and optimized for programmatic brand advertising. The result: brands, publishers and agencies have access to the kind of powerful, real-time information they need to make fast, meaningful decisions to impact the future growth of their business. Results are a 4X lift! 

 

State-of-the-art algorithms drive the Branding Big Data analysis process, but a simple math equation is at the heart of it all:

Big Data Gathering Capabilities

Paid, Owned and Earned Media

+

Mobile & Local Data

Data entered into relevant context

=

Premium Programmatic Advertising

Well over half of the companies in the world can use this

to drive meaningful change for their brand

Here’s a quick overview of how the data that drives the brandscore and brandsense process is generated:

Branding Big Data is already making tremendous progress toward our goal of reinventing the programmatic advertising process with the power of big data analysis:

Leading companies including Hilton (travel), Barclays (finance), Ford (auto), Kellogg (CPG) and Wal-Mart (retail) are already testing brandscore for their big data needs. Together, these names account for nearly $2 billion in annual advertising spending.

BBD is also partnering with the largest ad agency in the world, WPP, to build a brandscore solution for their GroupM division. We are also finalizing APIs for Rubicon, Turn and AppNexus — big industry players that account for over 50% of the 500 billion media transactions completed per day.

What’s coming up next? Further development of our brandscore and brandsense tools. For more information about how you can be part of the next chapter in the Branding Big Data success story, please request access to the Business Plan page of this profile!

BBD founder & CEO, Skip Brand is a serial entrepreneur with more than 5 previous startup founding experiences under his belt. This includes Martini, JiWire, Simple, Rhino, Advocacy and ASPIN. Dr. Brand earned his PhD studying big data under the father of meta-analysis, and today is one of the foremost thought leaders in the space. Serving as a weekly contributor to the #1 marketing trade publication, he writes about programmatic brand advertising and big data solutions for the marketplace. His thought leadership reaches a weekly audience of more than 500,000 digital media professionals, CMOs and marketers at brands, agencies and publishers across the country.

Dr. Brand has achieved the industry’s “hat trick” by raising nearly $100M dollars, near $1B in revenue and exited well over $100M.  

Rob Kubasko, CMO
Rob has been the founder and CEO of his own company(s) since leaving college. He is an award-winning marketing creative guru whose signature can be found on billion-dollar fortune 500 campaigns, presidential election efforts, big events like the Superbowl and in the award-winning company Iguana, which he founded.

David Ice, Chief UI Designer
David founded his own company in Art & Design school and established his identity by doing award-winning work for top Silicon Valley and San Francisco brands in the original internet boom. David’s design background includes work for Charles Schwab & Co, E*Trade, GE, Harvard, the San Francisco Museum, Wells Fargo and WR Hambrecht and Co - just to name a few. Venture capitalists have David's remote Colorado cabin hardwired into their boardrooms when they need UI and design work.

Zachary Ehren, Head of Communications

Recently, Zach pioneered early efforts in native advertising and content marketing for both traditional and non-traditional publishers. Zach’s unique technical and operational background allows him to make technology simple, sexy and straightforward. He has edited articles for AdAge, MediaPost, DigiDay, as well as numerous luxury publications for his previous company.

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