Discover | Plan | Engage

Programmatically target your live audience using GRAPESHOT:PREDICTS POWERED BY BLAB.

Posted by Benjamin Bressler on May 23, 2016 12:43:47 PM

INTRODUCTION:

Grapeshot:Predicts powered by Blab is the world’s first live audience targeting solution predicting intent – what, when and where your audience is going to search, read, and watch, up to 72 hours in advance! Predicting intent dramatically improves all relevant KPIs - from eCTR to performance engagement.

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The Easy Way to Personalize At-Scale

Posted by Fiona McCarthy on Apr 7, 2016 8:42:52 AM

THE DATA IS THERE. YOU JUST HAVE TO FIGURE OUT HOW TO USE IT.

Most marketers know that creating personalized content is key to engaging with consumers. It’s intuitive; consumers are much more likely to click on an ad that tells them a relatable story than one that doesn’t. The question is: why aren't more marketers and brands taking advantage of data when scaling thier personalization efforts?

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Topics: programmatic, predictive analytics, contextualized marketing, BLAB:Predicts, Paid Media, programmatic advertising, consumer engagement

BLAB:Predicts Takes Statistical Approach To NLP

Posted by Stefan Papp on Mar 30, 2016 12:35:44 PM

We frequently encounter skepticism when we tell data people that in order to make the best possible classification engine for Blab- we decided to throw out natural language processing (NLP) and employ our own techniques.

Well, ok, maybe we didn't throw NLP out altogether; we actually rejected traditional linguistic NLP in favor of a statistical approach to it. And why not? Microsoft Research did the same thing in 2005 when it disbanded its NLP group and headed in the statistical direction.

Moving away from linguistic NLP was not a whimsical decision in any way: we considered traditional NLP very carefully before we determined it was not the vehicle that would take us to our destination. In this post we discuss the challenges and thought process that ultimately led us to choose statistical rather than linguistic NLP.

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Topics: BLAB:Predicts, behind-the-scenes, data-processing, algorithms

Blab Releases Conversation-Based Data Segments for Paid Media

Posted by Fiona McCarthy on Mar 28, 2016 3:30:05 PM

Recently, Blab announced the global public release of the BLAB:Predicts platform and an industry-first technology, Conversation-Based Data Segments.

This new feature enables agencies, brands and publishers to use predictive data to drive campaign engagement and significantly reduce inefficient spending on programmatic and paid social media buys.

With Conversation-Based Data Segments, brand messaging is targeted directly into content topics people are engaging with most at any given moment- effectively delivering live audience segmentation in real-time.  As opposed to standalone traditional cookie-based targeting that depends on historical data that is largely out of date by the time a consumer is identified or targeted.

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Topics: BLAB:Predicts, Paid Media, programmatic advertising, New Features, Press Releases

What's a Brand to Do? Ad Blocking and Future of Digital Advertising

Posted by Fiona McCarthy on Mar 7, 2016 9:42:30 AM

Consumers are blocking annoying and intrunsive ads like never before, with an estimated 10% to 15% of all Internet users actively blocking digital ads. Some even claim this may mean the end for digital advertising. But let's not debate whether ad blockers spell the end for digital advertising, but rather, let's ask why advertisers settle for intrusive and annoying ads in the first place.

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Topics: social econometrics, BLAB:Predicts, Insights, consumer engagement

BLAB:Predicts Election 2016 - TRUMP vs. CLINTON

Posted by Fiona McCarthy on Feb 26, 2016 12:51:06 PM

It's no secret that social media has come become a highly influential platform for candidates during election cycles. Take, for example, Barak Obama's famous use of social media to win the presidential election in 2008. Or the 2010 Facebook study where a single banner ad influenced an additional 60,000 people to turn out to vote. Results from a January 2016 survey indicate that social media ads are much more effective at targeting millennials than print ads. And with 80% of millenials on Facebook, this comes as no surprise.  

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Topics: BLAB:Predicts, Donald Trump, Presidential Election, Hillary Clinton, Insights, Social Media

BLAB:Predicts Reveals Unexpected Valentine's Day Trends

Posted by Fiona McCarthy on Feb 10, 2016 9:50:37 AM

With Valentine's Day just around the corner, social media is abuzz with users seeking gift inspiration and suggestions. Just in case you left your V-Day shopping to the last minute, we used Blab's Predictive Social Intelligence™ to extract simple but unique Valentine's Day suggestions.

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Election 2016: The Iowa Caucus Predictions and Results

Posted by Ryan Bowermaster on Feb 2, 2016 11:33:40 AM

Using our traditional data monitoring tools, when we took a look at conversation volume, Hillary Clinton (with a 62% lead over Bernie Sanders) and Donald Trump (with a 21% lead over Ted Cruz) are the clear front-runners for today's Iowa caucus, if real-time news and social media buzz correlate to an Iowa caucus win.

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Topics: Election Predictions, BLAB:Predicts, Iowa Caucus 2016, Election Results

Contextual Marketing 2.0

Posted by Fiona McCarthy on Feb 1, 2016 2:04:30 PM

Back in 2013, a Mashable article by Tedd Wasserman attempted to pin down the definition of the relatively new concept of “contextual marketing”. Wasserman wrote that while all advertisements take place within a certain context for consumers, contextual marketing uses behavioral targeting to align with the media in which it appears.

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Topics: contextualized marketing, BLAB:Predicts, programmatic advertising, programmatic creative, consumer engagement

2016 Is Shaping Up To Be An Incredible Year!

Posted by Ryan Bowermaster on Jan 22, 2016 4:12:00 PM

Happy New Year Everyone!

I know that NYE was a couple of weeks ago, but wow...2016 is shaping up to be an incredible year for advertising and technology trends!

Historically, we here at Blab have tried to stay quietly focused on working on amazing technology that enables Advertisers and Publishers to understand and participate in the conversations that their target audiences are having every day on News, Blogs and Social.

That was then...this is now!

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Topics: blab:discover, predictive analytics, social econometrics, blab:measure, blab:engage

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