Survey Hell

On a scale of one to ten, how do you rate the  Customer Experience Management (CEM) business?

I give it a zero.

Have you noticed that every service comes with a bonus survey—one you answer on a phone or fill out on a Web page? And that every one of those surveys is about rating the poor soul you spoke to or chatted with, rather than the company’s own crappy CEM system?

I always say yes to the question “Was your problem resolved?” because I know the human I spoke to will be punished if I say no.  Saying yes to that question complies with Don Marti‘s tweeted advice: “5 stars for everyone always—never betray a human to the machines.”

The main problem with CEM is that it’s all about getting service to scale across populations by faking interest in human contact. You can see it all through McKinsey’s The CEO Guide to Customer Experience. The customer is always on a “journey” through which a company has “touchpoints.”

Oh please.

IU Health, my primary provider of health services, does a good job on the whole, but one downside is the phone survey that follows up seemingly every interaction I have with a doctor or an assistant of some kind. The survey is always from a robot that says it “will only take a few minutes.” I haven’t counted, but I am sure some of those surveys last longer than the interaction I had with the human who provided the service: an annoyingly looooong touchpoint.

I wrote Why Surveys Suck here, way back in 2007. In it, I wrote,  “One way we can gauge the success of VRM is by watching the number of surveys decline.”

Makes me cringe a bit, but I think it’s still true.


The image above was created by Bing Creator and depicts “A hellscape of unhappy people, some on phones and others filling out surveys.”

Personal AI at VRM Day and IIW

Prompt: A woman uses personal AI to know, get control of, and put to better use all available data about her property, health, finances, contacts, calendar, subscriptions, shopping, travel, and work. Via Microsoft Copilot Designer, with spelling corrections by the author.

Most AI news is about what the giants (OpenAI/Microsoft, Meta, Google/Apple, Amazon, Adobe, Nvidia) are doing (seven $trillion, anyone?), or what AI is doing for business (all of Forbes’ AI 50). Against all that, personal AI appears to be about where personal computing was in 1974: no longer an oxymoron but discussed more than delivered.

For evidence, look up “personal AI.” All the results will be about business (see here and here) or “assistants” that are just suction cups on the tentacles of giants (Siri, Google Assistant, Alexa, Bixby), or wannabes that do the same kind of thing (Lindy, Hound, DataBot).

There may be others, but three exceptions I know are Kin, Personal AI and Pi.

Personal AI is finding its most promoted early uses on the side of business more than the side of customers. Zapier, for example, explains that Personal AI “can be used as a productivity or business tool.”

Kin and Pi are personal assistants that help you with your life by surveilling your activities for your own benefit. I’ve signed up for both, but have only experienced Pit,” or “just vent,” when I ask it to help me with the stuff outlined in (and under) the AI-generated image above, it wants to hook me up with a bunch of siloed platforms that cost money, or to do geeky things (PostgreSQL, MongoDB, Python on my own computer. Provisional conclusion: Pi means well, but the tools aren’t there yet. [Later… Looks like it’s going to morph into some kind of B2B thing, or be abandoned outright, now that Inflection AI’s CEO, Mustafa Suleyman is gone to Microsoft. Hmm… will Microsoft do what we’d like in this space?]

Open source approaches are out there: OpenDAN, Khoj, Kwaai , and Llama are four, and I know at least one will be at VRM Day and IIW.

So, since personal AI may finally be what pushes VRM into becoming a Real Thing, we’ll make it the focus of our next VRM Day.

As always, VRM Day will precede IIW in the same location: the Boole Room of the Computer History Museum in Mountain View, just off Highway 101 in the heart of Silicon Valley. It’ll be on Monday, 15 April, and start at 9am. There’s a Starbucks across the street and ample parking because the museum is officially closed on Mondays, but the door is open. We lunch outdoors (it’s always clear) at the sports bar on the other corner.

Registration is open now at this Eventbrite link:

https://vrmday2024a.eventbrite.com

You can also just show up, but registering gives us a rough headcount, which is helpful for bringing in the right number of chairs and stuff like that.

See you there!

 

On Customer Constituency

A customer looks at a market where choice rules and nobody owns anybody. Source: Microsoft Copilot | Designer

I’m in a discussion of business constituencies. On the list (sourced from the writings of Doug Shapiro) are investors, employees, suppliers, customers, and regulators.

The first three are aware of their membership, but the last two? Not so sure.

Since ProjectVRM works for customers, let’s spin the question around. Do customers have a business constituency? If so, businesses are members by the customer’s grace. She can favor, ignore, or more deeply engage with any of those businesses at her pleasure. She does not “belong” to any of them, even though any or all of them may refer to her, or their many other customers, with possessive pronouns.

Take membership (e.g. Costco, Sam’s Club) and loyalty (CVS, Kroger) programs off the table. Membership systems are private markets, and loyalty programs are misnomered. (For more about that, read the “Dysloyalty” chapter of The Intention Economy.)

Let’s look instead at businesses that customers engage as a matter of course: contractors, medical doctors, auto mechanics, retail stores, restaurants, clubs, farmers’ markets, whatever. Some may be on speed dial, but most are not. What matters in all cases is that these businesses are responsible to their customers. “The real and effectual discipline which is exercised over a workman is that of his customers,” Adam Smith writes. “It is the fear of losing their employment which restrains his frauds and corrects his negligence.” That’s what it means to be a customer’s constituent.

An early promise of the Internet was supporting that “effectual discipline.” For the most part, that hasn’t happened. The “one clue” in The Cluetrain Manifesto said “we are not seats or eyeballs or end users or consumers. we are human beings and our reach exceeds your grasp. deal with it.” Thanks to ubiquitous surveillance and capture by corporate giants and unavoidable platforms, corporate grasp far outreaches customer agency.

That’s one reason ProjectVRM has been working against corporate grasp since 2006, and just as long for customer reach. Our case from the start has been that customer independence and agency are good for business. We just need to prove it.

An Approach to Paying for Everything That’s Free

Prompt: “A public marketplace for digital goods where people pay whatever they please for everything they consume.” Via Microsoft Image Creator

Now that we’ve hit peak subscription, and paywalls are showing up in front of formerly free digital goods (requiring, of course, more subscriptions), perhaps the world is ready for EmanciPay, an idea that has been biding its time on our wiki since 2009.

So, rather than leave it buried there, we’ll surface it here. Dig:::

Overview

Simply put, Emancipay makes it easy for anybody to pay (or offer to pay) —

  1. as much as they like
  2. however they like
  3. for whatever they like
  4. on their own terms

— or at least to start with that full set of options, and to work out differences with sellers easily and with minimal friction.

Emancipay turns consumers (aka users) into customers by giving them a pricing gun (something which in the past only sellers used) and their own means to make offers, to pay outright, and to escrow the intention to pay when price and other requirements are met. And to be able to do this at scale across all sellers, much as cash, browsers, credit cards, and email clients do the same. Payments themselves can also be escrowed.

In slightly more technical terms, EmanciPay is a payment framework for customers operating with full agency in the open marketplace, and at scale. It operates on open protocols and standards, so it can be used by any buyer, seller or intermediary.

It was conceived as a way to pay for music, journalism, or what any artist brings into the world. But it can apply to anything. For example, [subscriptions], have become a giant fecosystem in which every seller has separate and non-substitutable scale across all subscribers, while subscribers have zero scale across all sellers, with the highly conditional exceptions of silo’d commercial intermediaries. As [Customer Commons] puts it,

There’s also not much help coming from the subscription management services we have on our side: Truebill, Bobby, Money Dashboard, Mint, Subscript Me, BillTracker Pro, Trim, Subby, Card Due, Sift, SubMan, and Subscript Me. Nor from the subscription management systems offered by Paypal, Amazon, Apple or Google (e.g. with Google Sheets and Google Doc templates). All of them are too narrow, too closed and exclusive, too exposed to the surveillance imperatives of corporate giants, and too vested in the status quo.

That status quo sucks (see here, or just look up “subscription hell”), and it’s way past time to unscrew it.) But how?

The better question is where?

The answer to that is on our side: the customer’s side.

While EmanciPay was first conceived by ProjectVRM as a way to make live payments to nonprofits and to provide a new monetization method for publishers. it also works as a counterpart to sellers’ subscription systems in what Zuora (a supplier of subscription management systems to the publishing industry, including The Guardian and Financial Times) calls the “subscription economy“, which it says “is built on ever-changing relationships with your customers”. Since relationships are two-way by nature, EmanciPay is one way that customers can manage their end, while publisher-side systems such as Zuora’s manage the other.

Emancipay economic case

EmanciPay provides a new form of economic signaling not available to individuals, either on the Net or before the Net became available as a communications medium. EmanciPay will use open standards and be comprised of open-source code. While any commercial fourth parties can use EmanciPay (or its principles, or any parts of it they like), EmanciPay’s open and standard framework will support fourth parties by making them substitutable, much as the open standards of email (SMTP, POP3, IMAP) make email systems substitutable. (Each has what Joe Andrieu calls service endpoint portability.)

EmanciPay is an instrument of customer independence from all of the billion (or so) commercial entities on the Net, each with its own arcane and siloed systems for engaging and managing customer relations, as well as receipt, acknowledgment, and accounting for payments from customers.

Use Case Background

EmanciPay was conceived originally as a way to provide customers with the means to signal interest and the ability to pay for media and creative works (most of which are freely available on the Web, if not always free of charge). Through EmanciPay, demand and supply can relate, converse, and transact business on mutually beneficial terms, rather than only on terms provided by the countless different siloed systems we have today, each serving to hold the customer captive, and causing much inconvenience and friction in the process.

Media goods were chosen for five reasons: 1) because most are available for free, even if they cost money, or are behind paywalls 2) paywalls, which are cookie-based, cannot relate to individuals as anything other than submissive and dependent parties (and each browser a users employs carries a different set of cookies) 3) both media companies and non-profits are constantly looking for new sources of revenue 4) the subscription model, while it creates steady income and other conveniences for sellers, is often a bad deal for customers, and is now so overused (see Subscriptification) that the world is approaching a peak subscription crisis, and unscrewing it can only happen from the customer’s side (because the business is incapable of unscrewing the problem itself 5) all methods of intermediating payment choices are either siloed by the seller or siloed by intermediators, discouraging participation by individuals.

What the marketplace requires are new business and social contracts that ease payment and stigmatize non-payment for creative goods. The friction involved in voluntary payment is still high, even on the Web, where one must go through complex ceremonies even to make simple payments. There is no common and easy way either to keep track of what media (free or otherwise) we use (see Media Logging), to determine what it might be worth, and to pay for it easily and in standard ways — to many different suppliers. (Again, each supplier has its own system for accepting payments.)

EmanciPay differs from other payment models (subscriptions, newsstands, tip jars) by providing customers with the ability to choose what they wish to pay and how they’ll pay it, with minimum friction — and with full choice about what they disclose about themselves.

EmanciPay will also support credit for referrals, requests for service, feedback, and other relationship support mechanisms, all at the control of the user. For example, EmanciPay can provide quick and easy ways for listeners to pay for public radio broadcasts or podcasts, for readers to pay for otherwise “free” papers or blogs, for listeners to pay to hear music and support artists, for users to issue promises of payment for stories or programs — all without requiring the individual to disclose unnecessary private information or to become a “member” — although these options are kept open.

This will scaffold genuine relationships between buyers and sellers in the media marketplace. It will also give deeper meaning to “membership” in non-profits. (Under the current system, “membership” generally means putting one’s name on a pitch list for future contributions, and not much more than that.)

EmanciPay will also connect the sellers’ CRM (Customer Relationship Management) systems with customers’ VRM (Vendor Relationship Management) systems, supporting rich and participatory two-way relationships. In fact, EmanciPay will by definition be a VRM system.

Micro-accounting and Macro-distribution

The idea of “micro-payments” for goods on the Net has been around for a long time and is often brought up as a potential business model for journalism. For example in this article by Walter Isaacson in Time Magazine. It hasn’t happened, at least not globally, because it’s too complicated, and in prototype only works inside private silos.

What ProjectVRM suggests instead is something we don’t yet have, but very much need:

  1. micro-accounting for actual uses. Think of this simply as “keeping track of” the news, podcasts, newsletters, or music we consume.
  2. macro-distribution of payments for accumulated use (that’s no longer “micro”).

Much — maybe most — of the digital goods we consume are both free for the taking and worth more than $zero. How much more? We need to be able to say. In economic terms, demand needs to have a much wider range of signals it can give to supply. And give to each other, to better gauge what we should be willing to pay for free stuff that has real value but not a hard price.

As currently planned, EmanciPay would –

  1. Provide a single and easy way for consumers of “content” to become customers of it. In the current system — which isn’t one — every artist, every musical group, and every public radio and TV station has his, her or own way of taking in contributions from those who appreciate the work. This can be arduous and time-consuming for everybody involved. (Imagine trying to pay separately every musical artist you like, for all your enjoyment of each artist’s work.) What EmanciPay proposes, however, is not a replacement for existing systems, but a new system that can supplement existing fund-raising systems — one that can soak up much of today’s MLOTT: Money Left On The Table.
  2. Provide ways for individuals to look back through their media usage histories, inform themselves about what they have been enjoying, and determine how much it is worth to them. The Copyright Arbitration Royalty Panel (CARP), and later the Copyright Royalty Board (CRB), both came up with “rates and terms that would have been negotiated in the marketplace between a willing buyer and a willing seller.” This almost absurd language first appeared in the 1995 Digital Performance Royalty Act (DPRA) and was tweaked in 1998 by the Digital Millennium Copyright Act (DMCA), under which both the CARP and the CRB operated. The rates they came up with peaked at $.0001 per “performance” (a song or recording), per listener. EmanciPay creates the “willing buyer” that the DPRA thought wouldn’t exist.
  3. Stigmatize non-payment for worthwhile media goods. This is where “social” will finally come to be something more than yet another tech buzzmodifier.

All these require micro-accounting, not micro-payments. Micro-accounting can inform ordinary payments that can be made in clever new ways that should satisfy everybody with an interest in seeing artists compensated fairly for their work. An individual listener, for example, can say “I want to pay 1¢ for every song I hear,” and “I’ll send SoundExchange a lump sum of all the pennies wish to pay for songs I have heard over a year, along with an accounting of what artists and songs I’ve listened to” — and leave dispersal of those totaled pennies up to the kind of agency that likes, and can be trusted, to do that kind of thing. That’s the macro-distribution part of the system.

Similar systems can also be put in place for readers of newspapers, blogs, and other journals. What’s important is that the control is in the hands of the individual and that the accounting and dispersal systems work the same way for everybody.

Individual Empowerment and Agency on a Scale We’ve Never Seen Before

I was listening to the latest Pivot Podcast when Kara Swisher played a clip from Sam Altman‘s keynote at OpenAI’s Developers Day, earlier this week. Spake Sam (at the 35:18 mark),

We believe that AI will be about individual empowerment and agency on a scale we’ve never seen before

Whoa! That’s what we’ve been working toward here at ProjectVRM since 2006.

Shall we call it IEASWNSB? (Pronounced “Eewasnib,” perhaps?) We might have better luck with that than we’ve had with VRM, Me2B, and other initialisms and acronyms.

For fun, I asked Bing Image Create, which uses OpenAI’s DALL-E to produce images, to make art with its boss’s words. It gave me the images above. Here’s the link.

Those are a little too Ayn Randy for me. So I tried just “Empowered individuals,” and got this

—which is almost the ulta-woke opposite of the first one.

But never mind that. Let’s talk about individual empowerment with AI help. Here’s my personal punch list:

  1. Health. Make sense of all my health data. Suck it in from every medical care provider I’ve ever had, and help me make decisions based on it. Also, help me share it on an as-needed basis with my current providers. (On my own terms, about which more below.)
  2. Finances. Pull in and help me make sense of my holdings, obligations, recurring payments, incomes, whatever. Match my orders and shipments from Amazon and other retailers with the cryptic entries (always in ALL CAPS) on my credit card bills. I want to run every receipt I collect through a scanner that does OCR for my AI, which will know what receipt is for what, where it goes in the books it helps me keep, and yearly helps me work through my taxes. The list can go on.
  3. Property. What have I got? I want to point my phone camera at everything that a good AI can recognize, and make sense of all that too. Know all the books on my shelves by reading their spines. Know my furniture, the stuff in my basement. Help me keep records of my car’s history after I give it the VIN number I photographed under the windshield, and run all the records I’ve kept in the glove box through the same scanner I mentioned above. Whatever. Why not?
  4. Correspondence. I have half a million emails here, going back to 1995. (Wish it went back farther.) Lots of texts too, in lots of systems. Help me do a better job of looking back through those than my various clients do. Help me cross-reference those with events I attended and other stuff that may be relevant to some current inquiry.
  5. Contacts. Who do I have in my various directories? How many entries are wrong in one way or another? Go through and correct them, AI butler, using whatever clever new algorithm works for that, supplied by corporate entities whose knowledge of me remains as close to zero as I allow.
  6. Crumb trail. What did I buy from Amazon (or anybody) and when? Where do Google and Apple know I’ve been and what I’ve been doing? How about my late model car, which at the very least knows lots about my driving, and may even know what I’ve said, to whom, or even if sexual activity was going on? How about my TV, the maker of which gets paid to snitch on what I’ve watched and when—and may even be watching me and others, sitting and staring at it. All that information is far more useful to me than it is to them.
  7. Calendar. Tell me where I was on a given day, what I was doing, and who I was with. Knowing all that other personal data (above) will help too.
  8. Business relationships. Look into all my subscriptions and help me fight the fuckery behind nearly all of them. Make better sense of all the “loyalty” programs I’m involved with, and help me unfuck those too since most of them are about entrapment rather than real loyalty. (Bonus links here and here.)
  9. Other involvements. What associations do I belong to? How deeply am I involved with any or all of them? Can we drop some? Add some? Have some insights into how those are going, or should go?
  10. Travel. I have 1.6 million miles with United Airlines alone. Where did I go? When? Why? What did I pay? Are there ways to improve my relationships with airlines and other entities (e.g. car rental agencies, Uber/Lyft, Airbnb, cruise lines)? Are there ways I can help them that don’t require enduring yet another of those annoying surveys that seem to follow every contact with them?
  11. Shopping. We’ve been talking about (and working toward) intentcasting since the late aughts, with lots of developers on the case, but not big breakthroughs. But with AI it’s easy to imagine countless possibilities that begin with one’s intent to buy rather than retailers’ intent to sell. Words to wise sellers: A) Make it as easy as possible for customers’ personal and privacy-guarding AI agents to find what you’ve got and know as much about it as possible, and B) Fire every marketer and marketing system that wants in any ways to trap, milk, coerce, and otherwise fuck over customers. Meanwhile, customers should have AI capacities that keep them from getting screwed, to know when the screwing happens, and to help do something about it.
  12. My own personal data collection. There have been many of these, by many names, tried over the years. The current leading candidate (IMHO) is Sir Tim Berners-Lee‘s Solid project.

Our lives are packed with too much data for our meat brains alone to fully comprehend and put to use. AI is good for that. So bring it on.

And don’t bet that any of the bigs, including OpenAI, will give you anything on the punch list above*. They’re too big, too centralized, too stuck in a mainframe paradigm. They look for what only they can do for you, rather than what you can do for yourself—or do better with your own damn AI.

Personal AI today is where personal computing was fifty years ago. We don’t yet have the Apple II, the Osborne, the TRS-80, the Commodore PET, much less the IBM  PC or the Macintosh. We just have big companies with big everything and hooks for developers. Coming soon: an app store (also announced in Sam Altman’s keynote).

Real personal AI is a huge greenfield. Going there is also, to switch metaphors, a blue ocean strategy. Wrote about that here.


*Except by pouring all that data into their LLM. Not yours.

Coming soon to a radio near you: Personalized ads

And privacy be damned.

See, there is an iron law for every new technology: What can be done will be done. And a corollary that says, —until it’s clear what shouldn’t be done.  Let’s call those Stage One and Stage Two.

With respect to safety from surveillance in our cars, we’re at Stage One.

For Exhibit A, read what Ray Schultz says in Can Radio Time Be Bought With Real-Time Bidding? iHeartMedia is Working On It:

HeartMedia hopes to offer real-time bidding for its 860+ radio stations in 160 markets, enabling media buyers to buy audio ads the way they now buy digital.

“We’re going to have the capabilities to do real-time bidding and programmatic on the broadcast side,” said Rich Bressler, president and COO of iHeart Media, during the Goldman Sachs Communacopia + Technology Conference, according to Radio Insider.

Bressler did not offer specifics or a timeline. He added: “If you look at broadcasters in general, whether they’re video or audio, I don’t think anyone else is going to have those capabilities out there.”

“The ability, whenever it comes, would include data-infused buying, programmatic trading and attribution,” the report adds.

The Trade Desk lists iHeart Media as one of its programmatic audio partners.

Audio advertising allows users to integrate their brands into their audiences’ “everyday routines in a distraction-free environment, creating a uniquely personalized ad experience around their interests,” the Trade Desk says.

The Trade Desk “specializes in real-time programmatic marketing automation technologies, products, and services, designed to personalize digital content delivery to users.” Translation: “We’re in the surveillance business.”

Never mind that there is negative demand for surveillance by the surveilled. Push-back has been going on for decades.  Here are 154 pieces I’ve written on the topic since 2008.

One might think radio is ill-suited for surveillance because it’s an offline medium. Peopler listen more to actual radios than to computers or phones. Yes, some listening is online; but  not much, relatively speaking. For example, here is the bottom of the current radio ratings for the San Francisco market:

Those numbers are fractions of one percent of total listening in the country’s most streaming-oriented market.

So how are iHeart and The Trade Desk going to personalize radio ads?  Well, here is a meaningful excerpt from iHeart To Offer Real-Time Bidding For Its Broadcast Ad Inventory, which ran earlier this month at Inside Radio:

The biggest challenge at iHeartMedia isn’t attracting new listeners, it’s doing a better job monetizing the sprawling audience it already has. As part of ongoing efforts to sell advertising the way marketers want to transact, it now plans to bring real-time bidding to its 850 broadcast radio stations, top company management said Thursday.

“We’re going to have the capabilities to do real-time bidding and programmatic on the broadcast side,” President and COO Rich Bressler said during an appearance at the Goldman Sachs Communacopia + Technology Conference. “If you look at broadcasters in general, whether they’re video or audio, I don’t think anyone else is going to have those capabilities out there.”

Real-time bidding is a subcategory of programmatic media buying in which ads are bought and sold in real time on a per-impression basis in an instant auction. Pittman and Bressler didn’t offer specifics on how this would be accomplished other than to say the company is currently building out the technology as part of a multi-year effort to allow advertisers to buy iHeart inventory the way they buy digital media advertising. That involves data-infused buying and programmatic trading, along with ad targeting and campaign attribution.

Radio’s largest group has also moved away from selling based on rating points to transacting on audience impressions, and migrated from traditional demographics to audiences or cohorts. It now offers advertisers 800 different prepopulated audience segments, ranging from auto intenders to moms that had a baby in the last six months…

Advertisers buy iHeart’s ad inventory “in pieces,” Pittman explained, leaving “holes in between” that go unsold. “Digital-like buying for broadcast radio is the key to filling in those holes,” he added…

…there has been no degradation in the reach of broadcast radio. The degradation has been in a lot of other media, but not radio. And the reason is because what we do is fundamentally more important than it’s ever been: we keep people company.”

Buried in that rah-rah is a plan to spy on people in their cars. Because surveillance systems are built into every new car sold. In Privacy Nightmare on Wheels’: Every Car Brand Reviewed By Mozilla — Including Ford, Volkswagen and Toyota — Flunks Privacy Test, Mozilla pulls together a mountain of findings about just how much modern cars spy on their drivers and passengers, and then pass personal information on to many other parties. Here is one relevant screen grab:

spying

As for consent? When you’re using a browser or an app, you’re on the global Internet, where the GDPR, the CCPA, and other privacy laws apply, meaning that websites and apps have to make a show of requiring consent to what you don’t want. But cars have no UI for that. All their computing is behind the dashboard where you can’t see it and can’t control it. So the car makers can go nuts gathering fuck-all, while you’re almost completely in the dark about having your clueless ass sorted into one or more of Bob Pittman’s 800 target categories. Or worse, typified personally as a category of one.

Of course, the car makers won’t cop to any of this. On the contrary, they’ll pretend they are clean as can be. Here is how Mozilla describes the situation:

Many car brands engage in “privacy washing.” Privacy washing is the act of pretending to protect consumers’ privacy while not actually doing so — and many brands are guilty of this. For example, several have signed on to the automotive Consumer Privacy Protection Principles. But these principles are nonbinding and created by the automakers themselves. Further, signatories don’t even follow their own principles, like Data Minimization (i.e. collecting only the data that is needed).

Meaningful consent is nonexistent. Often, “consent” to collect personal data is presumed by simply being a passenger in the car. For example, Subaru states that by being a passenger, you are considered a user — and by being a user, you have consented to their privacy policy. Several car brands also note that it is a driver’s responsibility to tell passengers about the vehicle’s privacy policies.

Autos’ privacy policies and processes are especially bad. Legible privacy policies are uncommon, but they’re exceptionally rare in the automotive industry. Brands like Audi and Tesla feature policies that are confusing, lengthy, and vague. Some brands have more than five different privacy policy documents, an unreasonable number for consumers to engage with; Toyota has 12. Meanwhile, it’s difficult to find a contact with whom to discuss privacy concerns. Indeed, 12 companies representing 20 car brands didn’t even respond to emails from Mozilla researchers.

And, “Nineteen (76%) of the car companies we looked at say they can sell your personal data.”

To iHeart? Why not? They’re in the market.

And, of course, you are not.

Hell, you have access to none of that data. There’s what the dashboard tells you, and that’s it.

As for advice? For now, all I have is this: buy an old car.

 

 

VRM + AI? A question for VRM Day on October 9

A VRM Day at Harvard Law School in 2008

We’ve been in an uphill fight to empower people—customers—in online markets where the prevailing belief is that captive customers are more valuable than free ones. (The value of free customers is well-understood, though not always respected, in offline markets.) And we’ve been in this fight for more than seventeen years.

But now AI is all the craze.

Question: Can AI help VRM? And vice versa?

Think about what would happen if people had their own AI systems, working for them and not for companies whose business is selling you something (e.g. Amazon), pushing advertising at you (e.g. Google), or trapping you in their walled garden (e.g. Apple)? Why not have our own AI, to help us make better sense of our contacts, our calendars, our health, financial, property, travel, and other kinds of data? And then, when the need arises, have our personal AI help us make well-informed decisions about what to buy, how, and where, without being biased by marketers and their bots on the other side?

Those are just a few questions we’ll be visiting two Mondays from now, October 9, at VRM Day in the Computer History Museum in Mountain View, California. The time frame will be 9am to 4pm. There is also plenty of parking (the Museum is otherwise closed on Mondays).

We’ll visit other questions that come up, of course. And participants with something to show off are free to do that as well. And some will, especially with IIW happening the following three days, also at the Computer History Museum.

Registering here isn’t necessary, but it helps to have a head count.

See you there!

ProjectVRM 2.0

It took a while, but our website is now on its own. Big thanks go to the Berkman Klein Center for hosting us on its blog server since 2006. Also for continuing to host our mailing list and our wiki. And to all the friends who helped, including those at WordPress and Pressable, who made the transition smooth and complete. Links to every post and page we’ve published at blogs.harvard.edu/vrm/ (our old location) now travel down the same directory paths at projectvrm.org/. There will be no 404s. This is a rare thing for any site that moves from one host to another.

Clearly, this is not the one-year project we imagined in the first place. It may not be a one-generation project. But we will get from the state on the left above to the one on the right. And thanks to Gapingvoid‘s Hugh MacLeod for drawing that illustration in the first place, way back in 2005.

 

Markets vs. Marketing in the Age of AI

Maybe history will defeat itself.

Remember FreePC? It was a thing, briefly, at the end of the last millennium, right before Y2K pooped the biggest excuse for a party in a thousand years. This may help. The idea was to put ads in the corner of your PC’s screen. The market gave it zero stars, and it failed.

And now comes Telly, hawking free TVs with ads in a corner, and a promise to “optimize your ad experience.” As if anybody wants an ad experience other than no advertising at all.

Negative demand for advertising has been well advertised by both ad blocking (the biggest boycott in human history) and ad-free “prestige” TV, (or SVOD, for subscription video on demand). With those we gladly pay—a lot— not to see advertising. (See numbers here.)

But the advertising business (in the mines of which I toiled for too much of my adult life) has always smoked its own exhaust and excels best at getting high with generous funders. (Yeah, some advertising works, but on the whole people still hate it on the receiving end.)

The fun will come when our own personal AI bots, working for our own asses, do battle with the robot Nazgûls of marketing — and win, because we’re on the Demand side of the marketplace, and we’ll do a better job of knowing what we want and don’t want to buy than marketing’s surveillant AI robots can guess at. Supply will survive, of course. But markets will defeat marketing by taking out the middle creep.

The end state will be one Cluetrain forecast in 1999, Linux Journal named in 2006, the VRM community started working on that same year, and The Intention Economy detailed in 2012. The only thing all of them missed was how customer intentions might be helped by personal AI.

Personal.* Not personalized.

Markets will become new and better dances between Demand and Supply, simply because Demand will have better ways to take the lead, and not just follow all the time. Simple as that.


*For more on how this will work, see Individual Empowerment and Agency on a Scale We’ve Never Seen Before.

A beckon for Beckn

Want to place a bet on where VRM will finally take off? Try India.

Because India is home to the Beckn protocol: one that enables peer-to-peer e-commerce at scale without the big platforms taking a large cut of the pie just for matchmaking. The possibilities are endless and extreme—especially for customers and small businesses.

Beckn is open source (here on Github),  moving into deployment, and expected to grow toward ubiquity on the same slope as Aadhaar, the government ID now held by 1.35 billion people.

To put this into perspective, India has more people than all of Europe (even when you throw in Russia and Turkey), and more than twice the population of North America. Only China has more people, but India is ready to overtake it in just four years.

We will discuss all this and more with Sujith Nair this coming Monday, 20 February, from 2-3:30 PM Eastern Time.  He is the CEO & Co-founder of FIDE.org, the nonprofit behind the Beckn protocol, and may have the clearest vision in the world toward an e-commerce future that isn’t contained inside big tech’s walled gardens: ones in which every business and every customer can operate with both independence and minimized friction.

This will kick off the Workshop’s next Beyond the Web salon series . Stay tuned for more in the coming months, but be sure to catch this one. It could hardly matter more for what our project has worked toward since 2006.

It’s both in-person and online, and free. But you need to register. Do that here.

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