Public Relations & Social Marketing Insight
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Public Relations & Social Marketing Insight
Social marketing, PR insight & thought leadership - from The PR Coach
Curated by Jeff Domansky
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5 Ways to Pull Big Data Into Your Marketing Strategy

5 Ways to Pull Big Data Into Your Marketing Strategy | Public Relations & Social Marketing Insight | Scoop.it
Big Data holds the potentially to describe target customers with an accuracy and level of detail unfathomable only a decade ago. While old-school marketing efforts were limited to things like tracking returns on direct mail campaigns, or number of subscribers to newsletters, modern marketers can have data on people’s exercise habits, digital clicking behavior, time spent on various sites, purchasing history, personal preferences based on social media postings, time awake, time spent in the car, caloric intake, and almost anything else you can imagine. 

So it makes sense that marketers would be chomping at the Big Data bit. 

But how should marketers leverage this new quantified customer landscape in the best way?
Jeff Domansky's insight:

Big data could be a big deal in your marketing strategy.

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Sony Is Targeting Influencers' Real-Life Friends

Sony Is Targeting Influencers' Real-Life Friends | Public Relations & Social Marketing Insight | Scoop.it

...Sony Corporation of America is an early tester of the platform, and its VP of marketing, Steven Fuld, said the program is helping the electronics giant drive better conversion rates. 


"Pursway has a unique social graph that allows us to reach prospects with strong, real-life relationships with our customers," Fuld explained.


Indeed, Pursway and Sony assert that the program can segment influencers' actual, real-life friends—not just social media ones....

Jeff Domansky's insight:

Is this the new Holy Grail of big data and marketing?

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The Evolution of Big Data, and Where We're Headed | Wired.com

The Evolution of Big Data, and Where We're Headed | Wired.com | Public Relations & Social Marketing Insight | Scoop.it

...Few fully understand what big data is, much less what the term’s offshoots entail. But big data is evolving and smart data, identity data and people data are here to stay. Think of them as the human discovery of fire, the wheel and wheat. Just as those inventions couldn’t have occurred without humans, these subset terms couldn’t exist without big data.


Of course, the human race wouldn’t be where it is today without those three key finds, and these data segments will prove to do the same for big data — making it comprehensible for the masses.


Are these definitions all-inclusive? No, but they will help you to wrap your head around the terms that will influence digital media careers and online experiences for years to come...

Jeff Domansky's insight:

What's the big deal about big data? It starts with the challenge of defining it and goes from there.

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How Stephen Wolfram plans to reinvent data science & make wearables useful | Venture Beat

How Stephen Wolfram plans to reinvent data science & make wearables useful | Venture Beat | Public Relations & Social Marketing Insight | Scoop.it

"If you're wearing six different kinds of health metrics and personal analytics tracking thingies, and they're measuring all kind of different things ... the question is, what do you do with it?"


The Wolfram Language will become publicly available in the next few weeks,Wolfram Research founder Stephen Wolfram promised in a recent keynote at SXSW.


In that keynote, he demonstrated a few of the Wolfram Language’s amazing powers: In response to nearly natural-language queries, it’s able to parse phrases and generate remarkably sophisticated responses. A few of the demonstration’s more outrageous examples, all accomplished with just one line of code (often via iterative, interactive modifications of that single line)....

Jeff Domansky's insight:

Warning: big data nerd alert, but interesting to those trying to make more practical use of big data for all kinds of purposes.

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Fellow Executives, It's Time To Go Back To School | MediaPost

Fellow Executives, It's Time To Go Back To School | MediaPost | Public Relations & Social Marketing Insight | Scoop.it

...Today, cross-channel attribution can give us more insight into the customer journey than we've ever had before. Where they were once imaginary things meant to illustrate the way marketing efforts work together, today we can literally see our marketing funnels in action, visualized on-screen. Since the conceptual is becoming less important than the actual, the lines between stages of the funnel are blurring, and the flow of the funnel is becoming all that matters.


Because of this meshing of channels, we are witnessing a need for approaches to marketing that embrace the convergence of media. Who cares what PR did? What does it matter if it was your content marketing team or your sales enablement team who used to get the credit for a new tranche of prospects? Today, a marketing win is a win for marketing, and a win for digital.


Some companies are investing in extracting insights from digital channels that can be applied to digital channels, regardless of departmental titles. They do this for clients, but more and more, their marketing analytics teams also help them understand their business better....

Jeff Domansky's insight:

Jamie Tedford says forget silos, learn the new tools including big data.

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Big Data Marketing: Five steps to go from information to insights to invoice

Big Data Marketing: Five steps to go from information to insights to invoice | Public Relations & Social Marketing Insight | Scoop.it

Lisa Arthur’s book Big Data Marketing provides a strategic road map for business leaders who want to drive competitive advantage and top line growth.


In a world of exploding social and mobile media, change is needed for corporate marketing to move from ‘the Dark Ages’ to the ‘Age of Enlightened Data.’ Decision-making has to become much more moment-to-moment and accurate in a world of Big Data, and while startups are moving nimbly in this new world, larger incumbents need to re-boot and re-launch....

Jeff Domansky's insight:

Best quote: big data is where "Michelangelo meets Einstein."

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Get the Right Data Scientists Asking the “Wrong” Questions | Harvard Business Review

Get the Right Data Scientists Asking the “Wrong” Questions | Harvard Business Review | Public Relations & Social Marketing Insight | Scoop.it

Wouldn’t it be great to catch the next Bernie Madoff well before his pyramid scheme collapsed around us?


That’s not a rhetorical question. Advances in the field of data science have brought us to the point where it’s reasonable to expect that an ongoing program of fraud could be identified in its early stages by people with access to the right data to cross-reference and query. And more than ever before, organizations and even ordinary citizens have access to massive data sets; they can draw on publicly available information in dispersed domains such as social media, open source projects, government statistics, and even weather patterns.


But data by itself is meaningless. It’s the skill of the data scientist that makes the difference. The best of them allow us to see the data in a set, to visualize relationships between data points, to ferret out insights, to turn expectations topsy-turvy — and ultimately, to solve previously unsolvable questions for businesses....

Jeff Domansky's insight:

Good read if you're interested in big data.

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