Measurement

14 Nov

Shave It, A Short Animated Film

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14 Nov

Sunset on the Beach

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14 Nov

Grey Beach

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12 Nov

Mountain Walk

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11 Nov

Forest Track

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Rebecca Lieb's picture

Paid, Owned, Earned…Shared?

The convergence of paid, owned, and earned media has been an important discussion

for some time now. It was a topic of this column  on more than one occasion. The nagging question since the coinage of the POE acronym has been “What about shared media?”

When Jeremiah Owyang and I published research  on the convergence of paid, owned, and earned media, we noted that our colleague Brian Solis advocated adding “shared” to the mix. Lately, I’ve been having similar discussions with Ketchum’s partner and global director, Nicholas Scibetta, (disclosure: Ketchum is a client of my employer) about that same topic.

Ketchum has adopted not a POE model, but rather PESO (paid, earned, shared, and owned media), for the work it does for its clients.

Where does shared media sit in the paid, owned, and earned equation? What is sharedmedia, anyway? If shared is a goal, how is it achieved? Is all shared media of equal value? To know, you would need a system for measuring it. What would that be?

None of these questions are easy to answer, but here are some top line musings.

What is shared media and where does it sit in the paid/owned/earned equation?

Shared media is a subset of earned media and a form of amplification. Earned media generally tends have a point of view or an editorial bend. Examples might be a blog post or an article around a topic, a video of a product unboxing, or commentary (“I just saw this new movie and it’s really great/totally sucks,” or “This is what the Travon Martin verdict means for race relations in America”). Shared media, on the other hand, tends to be overwhelmingly duplicative. It’s a forward, a retweet, a pin, or (on Facebook) a literal “share.” Perhaps a word or comment is injected, but essentially it’s a pass-along of an essentially unaltered element of content.

It’s worth noting that you can even share shared media, which in a sense, is earning shared. Is your head spinning yet? Mine is!

Please read the rest of this post on iMedia Connection, where it originally published.

Image credit: TheAbundantArtist.com

Rebecca Lieb's picture

Digital Marketing & Media: What to Watch in 2013

Predictions can be fascinating, but let’s face it. No one I know is in possession of a working crystal ball, and digital marketing and technology move way too quickly and too erratically to do much more than keep us guessing (not that that isn’t half the fun).

I’m an analyst, not a psychic. So rather than play the “what’s next?” guessing game, let’s instead focus on “what’s important?”

These are the areas I plan to keep a close eye on in 2013. What would you add — or subtract — from this list?

1. Media Convergence The blending of paid, owned and earned media will continue and intensify in 2013 spawning new technological solutions, necessitating new skills, new workflow systems and new partnerships. As the lines continue to blur between what’s paid, owned and earned in digital (and soon, traditional) media, this will be the trend that governs nearly all other major change in the digital marketing and media landscape.

2. Native advertising Between banner blindness and the fact that display, search and social advertising has largely moved toward programmatic buys that are much less profitable for publishers, we’re seeing a number of technologies and solutions emerge to facilitate native advertising, one of many terms for plonking content (often, unbranded content) into ad units (a manifestation of media convergence). Products and solutions in this area will continue to emerge, more publishers will accommodate it, and no doubt we’ll see some interesting, large-scale media partnerships emerge as a result.

3. Demand for broader skills and tighter workflows will intensify intensifies Looping back again to media convergence, the increasing overlap between paid, owned and earned channels is creating a demand to bring in new skills and more closely integrate workflows within disciplines. Take PR, for example. Traditionally, public relations has specialized in owned (content) and earned (in the sense of traditional) media. Throw in native advertising and suddenly PR agencies are faced with the prospect of media buying, a skill that’s always been the exclusive domain of advertising agencies.

And with media buying come other skills such as media optimization and analysis. Put otherwise, digital, which has become increasingly siloed and Balkanized in recent years, will no longer be able to pull the “that’s not my table” routine. All players must develop an understanding of related digital channels (search, social, email, analytics), as well as come together around a table and really, truly play as a team.

4. Real-time marketing & listening platforms Real-time marketing demonstrably works — not just in social channels, but across the marketing spectrum. A recent GolinHarris study finds real-time not only positively impacts standard marketing goals — word-of-mouth, attention, preference, likelihood to try or buy — but it also turbocharges other marketing initiatives, including paid and owned media effectiveness. Event- and news-driven marketing will become increasingly vital as brands work to become more relevant. This requires sophisticated listening and monitoring platforms, and often 24/7 staffing. Teams require tools, and training to respond in accordance with social media policies and in the brand’s voice. They must also be permitted to work in an agile environment, free of the chain-of-approval strictures that are antithetical to real-time marketing.

5. Organizing for content marketing & content strategy As brands recognize the necessity of adding content to the marketing mix, they quickly realize something else. Precious few organizations have a Content Division. In 2013 brands will begin to address this deficiency in earnest. They will hire, reorganize and make room on the org chart for effective content marketing operations that work in concert with existing marketing functions from social to communications to brand, creative and advertising.

6. Visual information takes precedence Research I published in early 2012 demonstrates that when marketers are asked what kind of content they’ll be investing in going forward, anything visual takes precedence over the written word. The unfettered growth of Pinterest, infographics, Instagram, and Tumblr, not to mention the always-growing popularity on online video, bears this out. Visuals capture attention. In a world in which brand messages clamor for consumer attention across screens, devices and channels, a picture is worth the proverbial thousand words. Keep your eyes open in 2013. It’s going to be a colorful and visually arresting year.

7. Online/offline channels converge, i.e. everything becomes more digital As media become more digital, we’re seeing digital messages appear in new places: out-of-home channels such as billboards and digital signage, as well as TV screens, are hosting streaming and social media.

The above are my top seven, but I’ll be keeping an eye on some other trends next year. Mobile is always changing rapidly, gamification is developing and interesting, so is wrangling and making sense of big data.

The single most interesting trend in 2013? Easy. It’s the one we don’t even know about yet.

Rebecca Lieb's picture

Online Targeting: Perhaps Privacy Isn't the Problem

Some “facts” you might not know about me, particularly if you’re going by the picture on the upper right hand side of this page.

I’m a married male head of household who speaks Spanish. I have two teenage children and a high school diploma.  I’m retired. My income is below $50,000. I’ve recently purchased luxury cars and cruises. I have only one interest: sports. I’m in-market for every type of car you can think of: economy, compact, luxury sedan, full-size SUV and a motorcycle!

Other purchases I’m considering: magazines, theme park tickets, auto parts and accessories, and men’s clothing.

That, at least, is who a major real-time bidding platform thinks I am, based on several years of browsing history.

I have never wiped my cookies.

Here are the more factual facts: I’m a single, childless, working woman who has owned only one vehicle (over two decades ago, not in the U.S.). I haven’t watched or participated in a sport event since gym ceased to be mandatory. Cruises? Once, in 1983. Last theme park visit: 1971. I don’t speak Spanish (but do know French and German), and possess a graduate degree.

With zero effort on my part and many years of data, my online profile is even more wrong than Jeffrey Rosen’s two deliberately falsified online identities, created for a feature in Sunday’s New York Times Magazine

The piece is an indictment of real time bidding (which the author occasionally conflates with retargeting, which is something completely different) and, by extension, online targeting. While Rosen mentions, almost in passing, that this (erroneous) collected data is anonymous, he nevertheless sounds the alarm about “obvious privacy concerns” because “computers can link our digital profiles with our real identities so precisely that it will soon be hard to claim that the profiles are anonymous in any meaningful sense.” Big data, he maintains, will effectively provide advertisers with your DNA map once they triangulate your email font with your shirt color and driving habits.

Do Not Track aside, this despite the fact that virtually everything – everything – in my BlueKai profile is false, excepting the fact that I do live in the New York State/Northern New Jersey area – which hardly takes a bloodhound to figure out.

In other words, there’s indeed a problem with digital advertising. If ad platforms aren’t delivering the targeting that advertisers are paying for, the emperor has no clothes.

More perplexing than Rosen’s indictment of real-time platforms for violating privacy (while, apparently, not even knowing such basics as the gender of the otherwise anonymous person whose privacy they’re purportedly violating), he goes on to lament the erosion, of all things, of our individuality as a result of receiving targeted ads.

It’s a strange logic:

‘“You might find that people who have a luxury car tend to have a high propensity to buy some kind of biking gear, so a person who expresses a high preference for luxury cars might be a good target for biking gear, even though they don’t yet bike.” But this leaves no possibility for individuality, eccentricity or the possibility of developing tastes and preferences that differ from those of people you superficially resemble.”

Waitaminnit. Who suffers if I’m served with an ad for a bike because it’s falsely assumed I own a luxury car? Everyone on the equation but me is negatively impacted: the advertiser pays for a useless impression; the bidding platform’s credibility is damaged; and the publisher, already getting lower rates for running this type of advertising, risks being viewed as an ineffective medium by both the vendor and the advertiser.

Me? I just ignore the ad, like the other 80 percent of people who use the web (Pew).

Most difficult of all to comprehend are the author’s claims that somehow online targeting will lead to a level of personalization that will erode “common culture” and “shared reality.”

Global culture has become all too common, in the most literal sense of that word. The internet offers opportunities to discover new things, to plunge into obscure fields of interest, and to find others who share uncommon passions. It’s this alternative to “shared reality” that inspired me to leave a career in television for this brave new world – a place where I could find others who share my often offbeat interests (Sports? As if.  Japanese cinema? Absolutely!).

Finally, the Grey Lady ignores the most salient fact of all. Most of the web, like almost every other media channel, is made possible by advertising – a fact not once mentioned in this story made possible by advertising

Rebecca Lieb's picture

Yes, There's Fraud Online. Deal With It.

Breaking: everything you see and read on the internet isn’t true.

Hope you were sitting down for that surprising revelation.  I know, I know, it’s not that big a surprise, but that’s why it’s constantly surprising that people are…surprised by it.

A reporter from one of this country’s leading metropolitan dailies contacted me recently about the late-summer revelation from Facebook that some 83 million (or 8.7 percent) of its user accounts are fake. Facebook is, after all, a platform based on the value proposition that its users are behind real identities.

Doesn’t this blow Facebook’s value proposition out of the water, the reporter wanted to know. Isn’t this an incredibly high number of fake accounts? How could they allow this to happen?

Relax. The problem is hardly endemic to Facebook. Fake accounts, whether malicious in nature or not (Facebook estimates only c. 1.5 percent of active accounts are, in fact, malicious – the others are mostly duplicates, users under the age of 13, your dog, etc.) come with the territory – online or off.

Facebook is working to identify and disable fake accounts just as the search engines are working to combat click fraud – for years now. As ISPs work to block oceans of spam.

Oh, and did I mention fake online reviews?  Yelp has resorted to a sting operation aimed at shaming businesses that are caught trying to game their ratings system. They’re posting “consumer alerts” on those businesses’ pages, and exposing the emails they send to hire favorable reviewers. (TripAdvisor is also participating in its own version of the walk of shame.) So widespread is the fake-review practice that Gartner estimates by 2014, 15 percent of all online reviews will be fake.

Companies running online sweepstakes often encounter fraud, fakes and undesirable metrics in short order. A few years back, I looked under the hood of several soft drink sweepstakes aimed at males aged 12 – 24 (Coke, Sprite and Mountain Dew, to name a few of the brands). I asked Hitwise (now Experian Hitwise ) to crunch the data. They clocked the overwhelming majority of entrants as low-income females…over 45. They weren’t clicking on ads, but rather on a link on contest-aggregator site Sweepstakes Advantage.

Blame the Internet – Or Human Nature?

Somehow, when fraudulent, misleading or even unintentional things happen online, “the internet” is to blame. Or Facebook. Or Google. Or the dating site that was a 14 year old girl’s first step into a bad situation – never mind that a 14 year old had no business being on the site in the first place.

No one seems to be stepping back and saying things like, “Contests are overwhelmingly popular with low-income, middle aged women. Is it wise to run a sweepstakes to reach young men? If we do elect to go that route, how can we ensure we reach the target audience?”

Just as retailers account for “shrinkage” in financial forecasts, digital marketers must account for wasted clicks and impressions. Comes with the territory. There’s always going to be clickfraud. Chihuahuas and Yorkies will continue to update their Facebook newsfeeds (or, even further violating Facebook’s TOS, allow others to do this for them.) People who aren’t 100 percent neutral (like maybe the owner’s mother-in-law) will review restaurants and hair salons – favorably or unfavorably, depending.

Offline Corollaries are Much Worse

While the media are quick to blame “the internet” for a multitude of crimes related to fraud, companies like Facebook, Yelp, TripAdvisor, Google, Bing, Yahoo, and all the major ISPs get little public credit or acknowledgement for their efforts to combat said fraud. Much of the knowledge we have of online misconduct was revealed by these companies themselves. It’s transparency and disclosure.

Not so their offline bretheren. A quick search of “inflated circulation” results in a veritable rogues’ gallery of news stories indicting companies like Time Inc., News Corp, Newsday and other major publishers of being caught in the act – not openly revealing they are combatting a problem.

Forbes recently indicted USA Today for padding hotel bills to the tune of $82 million annually for those unwanted, untouched copies of the newspaper in front of your door in the morning (nearly one million copies per day that you probably don’t read, and probably are billed for).

Online fraud? Yeah. It’s a problem. It will always be a problem. Just like in the real world.

Rebecca Lieb's picture

How to Measure Social Media ROI

Measuring digital advertising is relatively easy and

Owned and earned media? That’s a whole other story. The metrics and the methods for measuring digital marketing are less exact, the platforms are newer, while the old rules and models don’t apply.

It’s been easier to groan about “lack of analytics expertise and/or resources,” “poor tools,” “unreliable data,” or “inconsistent analytical approaches” than to roll up collective organizational sleeves and really tackle the social media measurement problem.  Yet with creativity, as well as hard metrics and defined business goals and strategies, organizations are not only measuring social media for ‘soft’ metrics such as brand sentiment, but also ‘hard’ data, such as revenue attribution.

My Altimeter Group colleague Susan Etlinger has been researching the topic and just published the result, “The Social Media ROI Cookbook: Six Ingredients Top Brands Use to Measure the Revenue Impact of Social Media” (available as a free download under the Open Research model).

While there’s admittedly no perfect measurement method, the study identifies no less than six models for measuring social media revenue impact, three “top-down,” and three “bottom-up.” The organizations that measure most effectively use a combination of these methods in concert, and the report provides a four-factor matrix to help determine which of the six methods apply, based on type of business, the product or service, media mix, and customer profile.

The media mix is of particular interest here, as my focus has been on the convergence of paid, owned, and earned media recently (the topic of my newest research report). Converged media models also require converging metrics, presenting the not inconsiderable challenge of applying findings and learnings from paid and owned, for example, into earned media. Or vice-versa, often in real or near-real time.

Like measuring social media ROI, these models are only just emerging. Measuring new media models is complex enough. The new necessity of measuring, learning, optimizing and applying data from one channel to another makes the challenge geometrically more formidable.

 

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Rebecca Lieb

Rebecca Lieb is a strategic advisor, consultant, research analyst, keynote speaker, author, and columnist.

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