Category: Questions (Page 1 of 5)

Shall we commit advercide?

On our mailing list, there is a suggestion that we need a browser that kills all the advertising it sees on the Web. Not just the rude kind, or the tracking-based kind. The idea is to waste it all. The business model is, “$10 a month for a browser which guarantees no adverts, ever. If you see an advert, you file a bug report.”

I dismissed the idea a few years ago, when it first came up, for what seemed good and obvious reasons: that lots of advertising is informative and useful, that good and honest (e.g. non-tracking-based) advertising supports most of the world’s journalism, and so on.

But now most advertising on the Web is tracking-based (“programmatic” mostly means tracking-based), and most of the businesses involved seem hellbent on keeping it that way.

As for regulations, the GDPR and CCPA mean well, but they’ve done little to stop tracking, and much to make it worse.  Search for gdpr+compliance on Google and right now and see how many results you get. (I get way over a billion.) Nearly all of the finds you’ll see are pitches for ways sites and services can obey the letter of the GDPR while screwing its spirit. In other words, the GDPR and the CCPA have created a giant market for working around them.

Clearly the final market for goods and services on the Net—that’s you and me, ordinary human beings—don’t like being tracked like marked animals, and all the lost privacy that tracking involves. And hell, ad blocking alone was the biggest boycott in world history, way back in 2015. That says plenty.

So why not give our market a way to speak? Why not incentivize publishers to start making money in ways that respect everyone’s privacy?

Also, we’re not alone. Dig CheckMyAds.org and their efforts, such as this one.

Comments work on this blog again, so feel free to weigh in.

 

Thinking outside the browser

Even if you’re on a phone, chances are you’re reading this in a browser.

Chances are also that most of what you do online is through a browser.

Hell, many—maybe even most—of the apps you use on your phone use the Webkit browser engine. Meaning they’re browsers too.

And, of course, I’m writing this in a browser.

Which, alas, is subordinate by design. That’s because, while the Internet at its base is a word-wide collection of peers, the Web that runs on it is a collection of servers to which we are mere clients. The model is an old mainframe one called client-server. This is actually more of a calf-cow arrangement than a peer-to-peer one:

The reason we don’t feel like cattle is that the base functions of a browser work fine, and misdirect us away from the actual subordination of personal agency and autonomy that’s also taking place.

See, the Web invented by Tim Berners-Lee was just a way for one person to look at another’s documents over the Internet. And that it still is. When you “go to” or “visit” a website, you don’t go anywhere. Instead, you request a file. Even when you’re watching or listening to an audio or video stream, what actually happens is that a file unfurls itself into your browser.

What you typically expect when you go to a website is typically the file called a page. You also expect that page will bring a payload of other files: ones providing graphics, video clips, or whatever. You might also expect the site to remember that you’ve been there before, or that you’re a subscriber to the site’s services.

You may also understand that the site remembers you because your browser carries a “cookie” the site put there, to helps the site remember what’s called “state,” so the browser and the site can renew their acquaintance with every visit. It is for this simple purpose that Lou Montulli invented the cookie in the first place, back in 1994. Lou got that idea because the client-server model puts the most agency on the server’s side, and in the dial-up world of the time, that made the most sense.

Alas, even though we now live in a world where there can be boundless intelligence on the individual’s side, and there is far more capacious communication bandwidth between network nodes, damn near everyone continues to presume a near-absolute power asymmetry between clients and servers, calves and cows, people and sites. It’s also why today when you go to a site and it asks you to accept its use of cookies, something unknown to you (presumably—you can’t tell) remembers that “agreement” and its settings, and you don’t—even though there is no reason why you shouldn’t or couldn’t. It doesn’t even occur to the inventors and maintainers of cookie acceptance systems that a mere “user” should have a way to record, revisit or audit the “agreement.” All they want is what the law now requires of them: your “consent.”

This near-absolute power asymmetry between the Web’s calves and cows is also why you typically get a vast payload of spyware when your browser simply asks to see whatever it is you actually want from the website.  To see how big that payload can be, I highly recommend a tool called PageXray, from Fou Analytics, run by Dr. Augustine Fou (aka @acfou). For a test run, try PageXray on the Daily Mail’s U.S. home page, and you’ll see that you’re also getting this huge payload of stuff you didn’t ask for:

Adserver Requests: 756
Tracking Requests: 492
Other Requests: 184

The visualization looks like this:

This is how, as Richard Whitt perfectly puts it, “the browser is actually browsing us.”

All those requests, most of which are for personal data of some kind, come in the form of cookies and similar files. The visual above shows how information about you spreads out to a nearly countless number of third parties and dependents on those. And, while these cookies are stored by your browser, they are meant to be readable only by the server or one or more of its third parties.

This is the icky heart of the e-commerce “ecosystem” today.

By the way, and to be fair, two of the browsers in the graphic above—Epic and Tor—by default disclose as little as possible about you and your equipment to the sites you visit. Others have privacy features and settings. But getting past the whole calf-cow system is the real problem we need to solve.


Cross-posted at the Customer Commons blog, here.

Let’s zero-base zero-party data

Forrester Research has gifted marketing with a hot buzzphrase: zero-party data, which they define as “data that a customer intentionally and proactively shares with a brand, which can include preference center data, purchase intentions, personal context, and how the individual wants the brand to recognize her.”

Salesforce, the CRM giant (that’s now famously buying Slack), is ambitious about the topic, and how it can “fuel your personalized marketing efforts.” The second person you is Salesforce’s corporate customer.

It’s important to unpack what Salesforce says about that fuel, because Salesforce is a tech giant that fully matters. So here’s text from that last link. I’ll respond to it in chunks. (Note that zero, first and third party data is about you, no matter who it’s from.)

What is zero-party data?

Before we define zero-party data, let’s back up a little and look at some of the other types of data that drive personalized experiences.

First-party data: In the context of personalization, we’re often talking about first-party behavioral data, which encompasses an individual’s site-wide, app-wide, and on-page behaviors. This also includes the person’s clicks and in-depth behavior (such as hovering, scrolling, and active time spent), session context, and how that person engages with personalized experiences. With first-party data, you glean valuable indicators into an individual’s interests and intent. Transactional data, such as purchases and downloads, is considered first-party data, too.

Third-party data: Obtained or purchased from sites and sources that aren’t your own, third-party data used in personalization typically includes demographic information, firmographic data, buying signals (e.g., in the market for a new home or new software), and additional information from CRM, POS, and call center systems.

Zero-party data, a term coined by Forrester Research, is also referred to as explicit data.

They then go on to quote Forrester’s definition, substituting “[them]” for “her.”

The first party in that definition the site harvesting “behavioral” data about the individual. (It doesn’t square with the legal profession’s understanding of the term, so if you know that one, try not to be confused.)

It continues,

why-is-zero-party-data-important

Forrester’s Fatemeh Khatibloo, VP principal analyst, notes in a video interview with Wayin (now Cheetah Digital) that zero-party data “is gold. … When a customer trusts a brand enough to provide this really meaningful data, it means that the brand doesn’t have to go off and infer what the customer wants or what [their] intentions are.”

Sure. But what if the customer has her own way to be a precious commodity to a brand—one she can use at scale with all the brands she deals with? I’ll unpack that question shortly.

There’s the privacy factor to keep in mind too, another reason why zero-party data – in enabling and encouraging individuals to willingly provide information and validate their intent – is becoming a more important part of the personalization data mix.

Two things here.

First, again, individuals need their own ways to protect their privacy and project their intentions about it.

Second, having as many ways for brands to “enable and encourage” disclosure of private information as there are brands to provide them is hugely inefficient and annoying. But that is what Salesforce is selling here.

As industry regulations such as GDPR and the CCPA put a heightened focus on safeguarding consumer privacy, and as more browsers move to phase out third-party cookies and allow users to easily opt out of being tracked, marketers are placing a greater premium and reliance on data that their audiences knowingly and voluntarily give them.

Not if the way they “knowingly and voluntarily” agree to be tracked is by clicking “AGREE” on website home page popovers. Those only give those sites ways to adhere to the letter of the GDPR and the CCPA while also violating those laws’ spirit.

Experts also agree that zero-party data is more definitive and trustworthy than other forms of data since it’s coming straight from the source. And while that’s not to say all people self-report accurately (web forms often show a large number of visitors are accountants, by profession, which is the first field in the drop-down menu), zero-party data is still considered a very timely and reliable basis for personalization.

Self-reporting will be a lot more accurate if people have real relationships with brands, rather (again) than ones that are “enabled and encouraged” in each brand’s own separate way.

Here is a framework by which that can be done. Phil Windley provides some cool detail for operationalizing the whole thing here, here, here and here.

Even if the countless separate ways are provided by one company (e.g. Salesforce),  every brand will use those ways differently, giving each brand scale across many customers, but giving those customers no scale across many companies. If we want that kind of scale, dig into the links in the paragraph above.

With great data comes great responsibility.

You’re not getting something for nothing with zero-party data. When customers and prospects give and entrust you with their data, you need to provide value right away in return. This could take the form of: “We’d love you to take this quick survey, so we can serve you with the right products and offers.”

But don’t let the data fall into the void. If you don’t listen and respond, it can be detrimental to your cause. It’s important to honor the implied promise to follow up. As a basic example, if you ask a site visitor: “Which color do you prefer – red or blue?” and they choose red, you don’t want to then say, “Ok, here’s a blue website.” Today, two weeks from now, and until they tell or show you differently, the website’s color scheme should be red for that person.

While this example is simplistic, the concept can be applied to personalizing content, product recommendations, and other aspects of digital experiences to map to individuals’ stated preferences.

This, and what follows in that Salesforce post, is a pitch for brands to play nice and use surveys and stuff like that to coax private information out of customers. It’s nice as far as it can go, but it gives no agency to customers—you and me—beyond what we can do inside each company’s CRM silo.

So here are some questions that might be helpful:

  • What if the customer shows up as somebody who already likes red and is ready to say so to trusted brands? Or, better yet, if the customer arrives with a verifiable claim that she is already a customer, or that she has good credit, or that she is ready to buy something?
  • What if she has her own way of expressing loyalty, and that way is far more genuine, interesting and valuable to the brand than the company’s current loyalty system, which is full of gimmicks, forms of coercion, and operational overhead?
  • What if the customer carries her own privacy policy and terms of engagement (ones that actually protect the privacy of both the customer and the brand, if the brand agrees to them)?

All those scenarios yield highly valuable zero-party data. Better yet, they yield real relationships with values far above zero.

Those questions suggest just a few of the places we can go if we zero-base customer relationships outside standing CRM systems: out in the open market where customers want to be free, independent, and able to deal with many brands with tools and services of their own, through their own CRM-friendly VRM—Vendor Relationship Management—tools.

VRM reaching out to CRM implies (and will create)  a much larger middle market space than the closed and private markets isolated inside every brand’s separate CRM system.

We’re working toward that. See here.

 

Our radical hack on the whole marketplace

In Disruption isn’t the whole VRM story, I visited the Tetrad of Media Effects, from Laws of Media: the New Science, by Marshall and Eric McLuhan. Every new medium (which can be anything from a stone arrowhead to a self-driving car), the McLuhans say, does four things, which they pose as questions that can have multiple answers, and they visualize this way:

tetrad-of-media-effects

The McLuhans also famously explained their work with this encompassing statement: We shape our tools and thereafter they shape us.

This can go for institutions, such as businesses, and whole marketplaces, as well as people. We saw that happen in a big way with contracts of adhesion: those one-sided non-agreements we click on every time we acquire a new login and password, so we can deal with yet another site or service online.

These were named in 1943 by the law professor Friedrich “Fritz” Kessler in his landmark paper, “Contracts of Adhesion: Some Thoughts about Freedom of Contract.” Here is pretty much his whole case, expressed in a tetrad:

contracts-of-adhesion

Contracts of adhesion were tools industry shaped, was in turn shaped by, and in turn shaped the whole marketplace.

But now we have the Internet, which by design gives everyone on it a place to stand, and, like Archimedes with his lever, move the world.

We are now developing that lever, in the form of terms any one of us can assert, as a first party, and the other side—the businesses we deal with—can agree to, automatically. Which they’ll do it because it’s good for them.

I describe our first two terms, both of which have potentials toward enormous changes, in two similar posts put up elsewhere: 

— What if businesses agreed to customers’ terms and conditions? 

— The only way customers come first

And we’ll work some of those terms this week, fittingly, at the Computer History Museum in Silicon Valley, starting tomorrow at VRM Day and then Tuesday through Thursday at the Internet Identity Workshop. I host the former and co-host the latter, our 24th. One is free and the other is cheap for a conference.

Here is what will come of our work:
personal-terms

Trust me: nothing you can do is more leveraged than helping make this happen.

See you there.

 

“Disruption” isn’t the whole VRM story

250px-mediatetrad-svg

The vast oeuvre of Marshall McLuhan contains a wonderful approach to understanding media called the tetrad (i.e. foursome) of media effects.  You can apply it to anything, from stone tools to robots. McLuhan unpacks it with four questions:

  1. What does the medium enhance?
  2. What does the medium make obsolete?
  3. What does the medium retrieve that had been obsolesced earlier?
  4. What does the medium reverse or flip into when pushed to extremes?

I suggest that VRM—

  1. Enhances CRM
  2. Obsoletes marketing guesswork, especially adtech
  3. Retrieves conversation
  4. Reverses or flips into the bazaar

Note that many answers are possible. That’s why McLuhan poses the tetrad as questions. Very clever and useful.

I bring this up for three reasons:

  1. The tetrad is also helpful for understanding every topic that starts with “disruption.” Because a new medium (or technology) does much more than just disrupt or obsolete an old one—yet not so much more that it can’t be understood inside a framework.
  2. The idea from the start with VRM has never been to disrupt or obsolete CRM, but rather to give it a hand to shake—and a way customers can pull it out of the morass of market-makers (especially adtech) that waste its time, talents and energies.
  3. After ten years of ProjectVRM, we still don’t have a single standardized base VRM medium (e.g. a protocol), even though we have by now hundreds of developers we call VRM in one way or another. Think of this missing medium as a single way, or set of ways, that VRM demand can interact with CRM supply, and give every customer scale across all the companies they deal with. We’ve needed that from the start. But perhaps, with this handy pedagogical tool, we can look thorugh one framework toward both the causes and effects of what we want to make happen.

I expect this framework to be useful at VRM Day (May 1 at the Computer History Museum) and at IIW on the three days that follow there.

Save

Let’s give some @VRM help to the @CFPB

cfpbThe Consumer Financial Protection Bureau (@CFPB) is looking to help you help them—plus everybody else who uses financial services.

They explain:

Many new financial innovations rely on people choosing to give a company access to their digital financial records held by another company. If you’re using these kinds of services, we’d love to hear from you…

Make your voice heard. Share your comments on Facebook or Twitter . If you want to give us more details, you can share your story with us through our website. To see and respond to the full range of questions we’re interested in learning about, visit our formal Request for Information

For example,

Services that rely on consumers granting access to their financial records include:

  • Budgeting analysis and advice:  Some tools let people set budgets and analyze their spending activity.  The tools organize your purchases across multiple accounts into categories like food, health care, and entertainment so you can see trends. Some services send a text or email notification when a spending category is close to being over-budget.

  • Product recommendations: Some tools may make recommendations for new financial products based on your financial history. For example, if your records show that you have a lot of ATM fees, a tool might recommend other checking accounts with lower or no ATM fees.

  • Account verification: Many companies need you to verify your identity and bank account information. Access to your financial records can speed that process.

  • Loan applications: Some lenders may access your financial records to confirm your income and other information on your loan application.

  • Automatic or motivational savings: Some companies analyze your records to provide you with automatic savings programs and messages to keep you motivated to save.

  • Bill payment: Some services may collect your bills and help you organize your payments in a timely manner.

  • Fraud and identity theft protection: Some services analyze your records across various accounts to alert you about potentially fraudulent transactions.

  • Investment management: Some services use your account records to help you manage your investments.

A little more about the CFPB:

Our job is to put consumers first and help them take more control over their financial lives. We’re the one federal agency with the sole mission of protecting consumers in the financial marketplace. We want to make sure that consumer financial products and services are helping people rather than harming them.

A hat tip to @GeneKoo (an old Berkman Klein colleague) at the CFPB,  who sees our work with ProjectVRM as especially relevant to what they’re doing.  Of course, we agree. So let’s help them help us, and everybody else in the process.

Some additional links:

We’re done with Phase One

Here’s a picture that’s worth more than a thousand words:

maif-vrm

He’s with MAIF, the French insurance company, speaking at MyData 2016 in Helsinki, a little over a month ago. Here’s another:

sean-vrm

That’s Sean Bohan, head of our steering committee, expanding on what many people at the conference already knew.

I was there too, giving the morning keynote on Day 2:

cupfu1hxeaa4thh

It was an entirely new talk. Pretty good one too, especially since  I came up with it the night before.

See, by the end of Day 1, it was clear that pretty much everybody at the conference already knew how market power was shifting from centralized industries to distributed individuals and groups (including many inside centralized industries). It was also clear that most of the hundreds of people at the conference were also familiar with VRM as a market category. I didn’t need to talk about that stuff anymore. At least not in Europe, where most of the VRM action is.

So, after a very long journey, we’re finally getting started.

In my own case, the journey began when I saw the Internet coming, back in the ’80s.  It was clear to me that the Net would change the world radically, once it allowed commercial activity to flow over its pipes. That floodgate opened on April 30, 1995. Not long after that, I joined the fray as an editor for Linux Journal (where I still am, by the way, more than 20 years later). Then, in 1999, I co-wrote The Cluetrain Manifesto, which delivered this “one clue” above its list of 95 Theses:

not

And then, one decade ago last month, I started ProjectVRM, because that clue wasn’t yet true. Our reach did not exceed the grasp of marketers in the world. If anything, the Net extended marketers’ grasp a lot more than it did ours. (Shoshana Zuboff says their grasp has metastasized into surveillance capitalism. ) In respect to Gibson’s Law, Cluetrain proclaimed an arrived future that was not yet distributed. Our job was to distribute it.

Which we have. And we can start to see results such as those above. So let’s call Phase One a done thing. And start thinking about Phase Two, whatever it will be.

To get that work rolling, here are a few summary facts about ProjectVRM and related efforts.

First, the project itself could hardly be more lightweight, at least administratively. It consists of:

Second, we have a spin-off: Customer Commons, which will do for personal terms of engagement (one each of us can assert online) what Creative Commons (another Berkman-Klein spinoff) did for copyright.

Third, we have a list of many dozens of developers, which seem to be concentrated in Europe and Australia/New Zealand.  Two reasons for that, both speculative:

  1. Privacy. The concept is much more highly sensitive and evolved in Europe than in the U.S. The reason we most often get goes, “Some of our governments once kept detailed records of people, and those records were used to track down and kill many of them.” There are also more evolved laws respecting privacy. In Australia there have been privacy laws for several years requiring those collecting data about individuals to make it available to them, in forms the individual specifies. And in Europe there is the General Data Protection Regulation, which will impose severe penalties for unwelcome data gathering from individuals, starting in 2018.
  2. Enlightened investment. Meaning investors who want a startup to make a positive difference in the world, and not just give them a unicorn to ride out some exit. (Which seems to have become the default model in the U.S., especially Silicon Valley.)

What we lack is research. And by we I mean the world, and not just ProjectVRM.

Research is normally the first duty of a project at the Berkman Klein Center, which is chartered as a research organization. Research was ProjectVRM’s last duty, however, because we had nothing to research at first. Or, frankly, until now. That’s why we were defined as a development & research project rather than the reverse.

Where and how research on VRM and related efforts happens is a wide-open question. What matters is that it needs to be done, starting soon, while the “before” state still prevails in most of the world, and the future is still on its way in delivery trucks. Who does that research matters far less than the research itself.

So we are poised at a transitional point now. Let the conversations about Phase Two commence.

On #Bitcoin, #Blockchain, #Linux and Minimum Viable Centralization

BrokenBitcoinBitcoin and the block chain have been getting  bad PR lately.

Bad PR is when even your friends turn on you.

Bitcoin ex-friend #1 is Mike Hearn, writing in Medium. He opens with his credentials…

I’ve spent more than 5 years being a Bitcoin developer. The software I’ve written has been used by millions of users, hundreds of developers, and the talks I’ve given have led directly to the creation of several startups. I’ve talked about Bitcoin on Sky TV and BBC News. I have been repeatedly cited by the Economist as a Bitcoin expert and prominent developer. I have explained Bitcoin to the SEC, to bankers and to ordinary people I met at cafes.

… and then, after a short digression, brings out the knife:

But despite knowing that Bitcoin could fail all along, the now inescapable conclusion that it has failed still saddens me greatly. The fundamentals are broken and whatever happens to the price in the short term, the long term trend should probably be downwards. I will no longer be taking part in Bitcoin development and have sold all my coins.

Why has Bitcoin failed? It has failed because the community has failed. What was meant to be a new, decentralised form of money that lacked “systemically important institutions” and “too big to fail” has become something even worse: a system completely controlled by just a handful of people. Worse still, the network is on the brink of technical collapse. The mechanisms that should have prevented this outcome have broken down, and as a result there’s no longer much reason to think Bitcoin can actually be better than the existing financial system.

Think about it. If you had never heard about Bitcoin before, would you care about a payments network that:

  • Couldn’t move your existing money
  • Had wildly unpredictable fees that were high and rising fast
  • Allowed buyers to take back payments they’d made after walking out of shops, by simply pressing a button (if you aren’t aware of this “feature” that’s because Bitcoin was only just changed to allow it)
  • Is suffering large backlogs and flaky payments
  • … which is controlled by China
  • … and in which the companies and people building it were in open civil war?

I’m going to hazard a guess that the answer is no.

Then comes Bitcoin friend #2: Fred Wilson, with Bitcoin is Dead, Long Live Bitcoin. Fred hedges the headline in the text below, which he should since his firm has investments in the category. He also offers some hope, and a call to action:

I personally believe we will see a fork accepted by the mining community at some point this year. And that will come with a new set of core developers and some governance about how decisions are made among that core developer team. But it could well take a massive collapse in the price of Bitcoin, breakdowns in the Bitcoin network, or worse to get there. And all of that could cause the whole house of cards to come crashing down. Anything is possible. Even the return of Satoshi to fix things as an AVC regular suggested to me in an email this morning.

The Bitcoin experiment is six years old. There has been a significant amount of venture capital investment in the Bitcoin ecosystem. There are a number of well funded companies competing to build valuable businesses on top of this technology. We are invested in at least one of them. And the competition between these various companies and their visions has played a part in the stalemate. These companies have a lot to gain or lose if Bitcoin survives or fails. So I expect that there will be some rationality, brought on by capitalist behavior, that will emerge or maybe is already emerging.

Sometimes it takes a crisis to get everyone in a room. That’s how the federal budget has been settled for many years now. And that may be how the blocksize debate gets settled to. So if we are going to have a crisis, let’s get on with it. No better time than the present.

Much tweetage is going on. The best of it, to me at least, involves Vinay Gupta (@Leashless), who does an amazing job of unpacking Bitcoin politics, which seems to be most at issue here. (As Craig Burton (@craigburton) says, “All technical problems are technical and political. And you can always solve the technical stuff.”)

So take a look at this 12-minute video of Vinay holding forth on Bitcoin last August, when at least some of today’s problems were already surfaced. In it he talks about Bitcoin having “anarchist infrastructure producing a libertarian trading environment,” among other wise one- (and few-) liners. Great make-ya-think stuff there.

Bitcoin and the blockchain matter for VRM, because they can both help liberate individual customers (and groups) from the highly centralized systems that have reduced the free market to “your choice of captor.” And, though flawed, they are already in the world. If we are to prove that free customers are better than captive ones, we need systems that break us out of captivity. Bitcoin and the blockchain can do that.

I also want to pause here to express my love for Chris EllisProtip (@ProtipHQ), which allows anybody to pay whatever they want for anything on the Web, facilitated by a bit of open source code added to a site or service. One click and the cash moves. No intermediators required. No governments. No settlement systems. No credit card cruft. Consider the implications of that.

To solve Bitcoin’s problems (if they can be solved), I believe we need what Brian Behlendorf calls minimum viable centralization. That’s what Fred proposes in his post, and what — in some way or other — we will have at the end of the day. (Or the week, year or decade.)

The best example I know of mimimum viable centralization is Linux, which has a cluster of kernel maintainers at the top. All are benevolent dictators who earned their roles by proven merit. At the top sits Linus Torvalds, who started the whole thing and remains no less involved than he was in the first place. Linux isn’t in everything, but it’s close enough. Consider the implications for Bitcoin/Blockchain and other things like it.

Makes me think  maybe it’s time for Satoshi Nakamoto (whoever he or she really is) to step up.

Bonus links:

Helping publishers and advertisers move past the ad blockade

reader-publisher-advertiser

Those are the three market conversations happening in the digital publishing world. Let’s look into what they’re saying, and then what more they can say that’s not being said yet.

A: Publisher-Reader

Publishing has mostly been a push medium from the start. One has always been able to write back to The Editor, and in the digital world one can tweet and post in other places, including one’s own blog. But the flow and power asymmetry is still push-dominated, and the conversation remains mostly a one-way thing, centered on editorial content. (There is also far more blocking of ads than talk about them.)

An important distinction to make here is between subscription-based pubs and free ones. The business model of subscription-supported pubs is (or at least includes) B2C: business-to-customer. The business model of free pubs is B2B: business-to-business. In the free pub case, the consumer (who is not a customer, because she isn’t paying anything) is the product sold to the pub’s customer, the advertiser.

Publishers with paying subscribers have a greater stake — and therefore interest — in opening up conversation with customers. I believe they are also less interested in fighting with customers blocking ads than are the free pubs. (It would be interesting to see research on that.)

B. Publisher-Advertiser

In the offline world, this was an uncomplicated thing. Advertisers or their agencies placed ads in publications, and paid directly for it. In the online world, ads come to publishers through a tangle of intermediaries:

displaylumascape:

Thus publishers may have no idea at any given time what ads get placed in front of what readers, or for what reason. In service to this same complex system, they also serve up far more than the pages of editorial content that attracts readers to the site. Sight unseen, they plant tracking cookies and beacons in readers’ browsers, to follow those readers around and report their doings back to third parties that help advertisers aim ads back at those readers, either on the publisher’s site or elsewhere.

We could explore the four-dimensional shell game that comprises this system, but for our purposes here let’s just say it’s a B2B conversation. That it’s a big one now doesn’t mean it has to be the only one. Many others are possible.

C. Reader-Advertiser

In traditional offline advertising, there was little if any conversation between readers and advertisers, because the main purpose of advertising was to increase awareness. (Or, as Don Marti puts it, to send an economic signal.) If there was a call to action, it usually wasn’t to do something that involved the publisher.

A lot of online advertising is still that way. But much of it is direct response advertising. This kind of advertising (as I explain in Separating Advertising’s Wheat and Chaff) is descended not from Madison Avenue, but from direct mail (aka junk mail). And (as I explain in Debugging adtech’s assumptions) it’s hard to tell the difference.

Today readers are speaking to advertisers a number of ways:

  1. Responding to ads with a click or some other gesture. (This tens to happen at percentages to the right of the decimal point.)
  2. Talking back, one way or another, over social media or their own blogs.
  3. Blocking ads, and the tracking that aims them.

Lately the rate of ad and tracking blocking by readers has gone so high that publishers and advertisers have been freaking out. This is characterized as a “war” between ad-blocking readers and publishers. At the individual level it’s just prophylaxis. At the group level it’s a boycott. Both ways it sends a message to both publishers and advertisers that much of advertising and the methods used for aiming it are not welcome.

This does not mean, however, that making those ads or their methods more welcome is the job only of advertisers and publishers. Nor does it mean that the interactions between all three parties need to be confined to the ones we have now. We’re on the Internet here.

The Internet as we know it today is only twenty years old: dating from the end of the NSFnet (on 30 April 1995) and the opening of the whole Internet to commercial activity. There are sand dunes older than Facebook, Twitter — even Google — and more durable as well. There is no reason to confine the scope of our invention to incremental adaptations of what we have. So let’s get creative here, and start by looking at, then past, the immediate crisis.

People started blocking ads for two reasons: 1) too many got icky (see the Acceptable Ads Manifesto for a list of unwanted types); 2) unwelcome tracking. Both arise from the publisher-advertiser conversation, which to the reader (aka consumer) looks like this:

rotated

Thus the non-conversation between readers blocking ads and both publishers and advertisers (A and C) looks like this:

stophandsignal

So far.

Readers also have an interest in the persistence of the publishers they read. And they have an interest in at least some advertisers’ goods and services, or the marketplace wouldn’t exist.

Thus A and C are conversational frontiers — while B is a mess in desperate need of cleaning up.

VRM is about A and C, and it can help with B. It also goes beyond conversation to include the two other activities that comprise markets: transaction and relationship. You might visualize it as this:

Handshake_icon_GREEN-BLUE.svg

From Turning the customer journey into a virtuous cycle:

One of the reasons we started ProjectVRM is that actual customers are hard to find in the CRM business. We are “leads” for Sales, “cases” in Support, “leads” again in Marketing. At the Orders stage we are destinations to which products and invoices are delivered. That’s it.

Oracle CRM, however, has a nice twist on this (and thanks to @nitinbadjatia of Oracle for sharing it*):

Oracle Twist

Here we see the “customer journey” as a path that loops between buying and owning. The blue part — OWN, on the right — is literally the customer’s own-space. As the text on the OWN loop shows, the company’s job in that space is to support and serve. As we see here…

… the place where that happens is typically the call center.

Now let’s pause to consider the curb weight of “solutions” in the world of interactivity between company and customer today. In the BUY loop of the customer journey, we have:

  1. All of advertising, which Magna Global expects to pass $.5 trillion this year
  2. All of CRM, which Gartner pegs at $18b)
  3. All the rest of marketing, which has too many segments for me to bother looking up

In the OWN loop we have a $0trillion greenfield. This is where VRM started, with personal data lockers, stores, vaults, services and (just in the last few months) clouds.

Now look around your home. What you see is mostly stuff you own. Meaning you’ve bought it already. How about basing your relationships with companies on those things, rather than over on the BUY side of the loop, where you are forced to stand under a Niagara of advertising and sales-pitching, by companies and agencies trying to “target” and “acquire” you. From marketing’s traditional point of view (the headwaters of that Niagara), the OWN loop is where they can “manage” you, “control” you, “own” you and “lock” you in. To see one way this works, check your wallets, purses, glove compartments and kitchen junk drawers for “loyalty” cards that have little if anything to do with genuine loyalty.

But what if the OWN loop actually belonged to the customer, and not to the CRM system? What if you had VRM going there, working together with CRM, at any number of touch points, including the call center?

So here are two questions for the VRM community:

  1. What are we already doing in those areas that can help move forward in A and B?
  2. What can we do that isn’t being done now?

Among things we’re already doing are:

  • Maintaining personal clouds (aka vaults, lockers, personal information management systems, et.al.) from which data we control can be shared on a permitted basis with publishers and companies that want to sell us stuff, or with which we already enjoy relationships.
  • Employing intelligent personal assistants of our own.
  • Intentcasting, in which we advertise our intentions to buy (or seek services of some kind).
  • Terms individuals can assert, to start basing interactions and relationships on equal power, rather than the defaulted one-way take-it-or-leave-it non-agreements we have today.

The main challenge for publishers and advertisers is to look outside the box in which their B2B conversation happens — and the threats to that box they see in ad blocking — and to start looking at new ways of interacting with readers. And look for leadership coming from tool and service providers representing those readers. (For example, Mozilla.)

The main challenge for VRM developers is to provide more of those tools and services.

Bonus links for starters (again, I’ll add more):

Of vaults and honey pots

Personal Blackbox (pbb.me) is a new #VRM company — or so I gather, based on what they say they offer to users: “CONTROL YOUR DATA & UNLOCK ITS VALUE.”

So you’ll find them listed now on our developers list.

Here is the rest of the text on their index page:

pbbWheel

PBB is a technology platform that gives you control of the data you produce every day.

PBB lets you gain insights into your own behaviors, and make money when you choose to give companies access to your data. The result? A new and meaningful relationship between you and your brands.

At PBB, we believe people have a right to own their data and unlock its benefits without loss of privacy, control and value. That’s why we created the Personal Data Independence Trust. Take a look and learn more about how you can own your data and its benefits.

In the meantime we are hard at work to provide you a service and a company that will make a difference. Join us to participate and we will keep you posted when we are ready to launch.

That graphic, and what seems to be said between the lines, tells me Personal Blackbox’s customers are marketers, not users.  And, as we so often hear, “If the service is free, you’re the product being sold.”

But, between the last paragraph and this one, I ran into Patrick Deegan, the Chief Technology Officer of Personal Blackbox, at the PDNYC meetup. When I asked him if the company’s customers are marketers, he said no — and that PBB (as it’s known) is doing something much different that’s not fully explained by the graphic and text above, and is tied with the Personal Data Independence Trust, about which not much is said at the link to it. (At least not yet. Keep checking back.) So I’ll withhold judgement about it until I know more, and instead pivot to the subject of VRM business models, which that graphic brings up for me.

I see two broad ones, which I’ll call vault and honey pot.

The vault model gives the individual full control over their personal data and what’s done with it, which could be anything, for any purpose. That data primarily has use value rather than sale value.

The honey pot model also gives the individual control over their personal data, but mostly toward providing a way to derive sale value for that data (or something similar, such as bargains and offers from marketers).

The context for the vault model is the individual’s whole life, and selective sharing of data with others.

The context for the honey pot model is the marketplace for qualified leads.

The vault model goes after the whole world of individuals. Being customers, or consumers, is just one of the many roles we play in that world. Who we are and what we do — embodied in our data — is infinitely larger that what’s valuable to marketers. But there’s not much money in that yet.

But there is in the honey pot model, at least for now. Simply put, the path to market success is a lot faster in the short run if you find new ways to help sellers sell.  $zillions are being spent on that, all the time. (Just look at the advertising coming along with that last link, to a search).

FWIW, I think the heart of VRM is in the vault model. But we have a big tent here, and many paths to explore. (And many metaphors to mix.)

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