Archive for August, 2016

VRM at MyData2016

August 30, 2016

mydata2016-image

As it happens I’m in Helsinki right now, for MyData2016, where I’ll be speaking on Thursday morning. My topic: The Power of the Individual. There is also a hackathon (led by DataBusiness.fi) going on during the show, starting at 4pm (local time) today. In no order of priority, here are just some of the subjects and players I’ll be dealing with,  talking to, and talking up (much as I can):

Please let me know what others belong on this list. And see you at the show.

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Is Facebook working on a VRM system? Or just another way to do ads?

August 30, 2016

It’s easy to get caught up in news that WhatsApp is starting to accept advertising (after they said they would never do that), and miss the deeper point of what’s really going on: Facebook setting up a new bot-based channel through which companies and customers can communicate. Like this:

vrmcrmbot

The word balloon is Facebook Messenger. But it could be WhatsApp too. From a VRM perspective, what matters is whether or not “Messenger bots” work as VRM tools, meaning they obey the individual user’s commands (and not just those of Facebook’s corporate customers). We don’t know yet. Hence the question mark.

But before we get to exploring the possibilities here (which could be immense), we need to visit and dismiss the main distractions.

Those start with Why we don’t sell ads, posted on the WhatsApp blog on 18 June 2012. Here are the money grafs from that one:

We knew we could do what most people aim to do every day: avoid ads.
No one wakes up excited to see more advertising, no one goes to sleep thinking about the ads they’ll see tomorrow. We know people go to sleep excited about who they chatted with that day (and disappointed about who they didn’t). We want WhatsApp to be the product that keeps you awake… and that you reach for in the morning. No one jumps up from a nap and runs to see an advertisement.

Advertising isn’t just the disruption of aesthetics, the insults to your intelligence and the interruption of your train of thought. At every company that sells ads, a significant portion of their engineering team spends their day tuning data mining, writing better code to collect all your personal data, upgrading the servers that hold all the data and making sure it’s all being logged and collated and sliced and packaged and shipped out… And at the end of the day the result of it all is a slightly different advertising banner in your browser or on your mobile screen.

Remember, when advertising is involved you the user are the product.

Great stuff. But that was then and this is now. In WhatsApp’s latest post, Looking Ahead for WhatsApp (25 August), we have the about-face:

But by coordinating more with Facebook, we’ll be able to do things like track basic metrics about how often people use our services and better fight spam on WhatsApp. And by connecting your phone number with Facebook’s systems, Facebook can offer better friend suggestions and show you more relevant ads if you have an account with them. For example, you might see an ad from a company you already work with, rather than one from someone you’ve never heard of. You can learn more, including how to control the use of your data, here.

Pretty yucky, huh?

Earlier in the same post, however, WhatsApp says,

we want to explore ways for you to communicate with businesses that matter to you too

Interesting: Mark Zuckerberg said the same thing when he introduced messenger bots, back in April. In the video at that link, Zuck said,

Now that Messenger has scaled, we’re starting to develop ecosystems around it. And the first thing we’re doing is exploring how you can all communicate with businesses.

You probably interact with dozens of businesses every day. And some of them are probably really meaningful to you. But I’ve never met anyone who likes calling a business. And no one wants to have to install a new app for every service or business they want to interact with. So we think there’s gotta be a better way to do this.

We think you should be able to message a business the same way you message a friend. You should get a quick response, and it shouldn’t take your full attention, like a phone call would. And you shouldn’t have to install a new app.

Note the similarities in the set-up:

  1. Zuck:  “how you can all communicate with business.”
  2. WhatsApp: “explore ways for you to communicate with businesses.”

This is, or should be, pure VRM:  a way for a customer to issue a service request, or to intentcast for bids on a new washing machine or a car. In other words, what they seem to be talking about here is a new communication channel between customers and businesses that can relieve  the typical pains of being a customer while also opening the floodgates of demand notifying supply when it’s ready to buy. Back to Zuck:

So today we’re launching Messenger Platform. So you can build bots for Messenger.

By “you” Zuck means the developers he was addressing that day. I assume these were developers working for businesses that avoid customer contact and would rather have robots take over everything possible, because that’s the norm these days. But I could be wrong. He continues,

And it’s a simple platform, powered by artificial intelligence, so you can build natural language services to communicate directly with people. So let’s take a look.

CNN, for example, is going to be able to send you a daily digest of stories, right into messenger. And the more you use it, the more personalized it will get. And if you want to learn more about a specific topic, say a Supreme Court nomination or the zika virus, you just send a message and it will send you that information.

The antecedents of “you” move around here. Could be he’s misdirecting attention away from surveillance. Can’t tell. But it is clear that he’s looking past advertising alone as a way to make money.

Back to the WhatsApp post:

Whether it’s hearing from your bank about a potentially fraudulent transaction, or getting notified by an airline about a delayed flight, many of us get this information elsewhere, including in text messages and phone calls.

This also echoes what Zuck said in April. In both cases it’s about companies communicating with you, not about you communicating with companies. Would bots work both ways?

In “‘Bot’ is the wrong name…and why people who think it’s silly are wrong”, Aaron Batalion says all kinds of functionality now found only in apps will move to bots—Messenger’s in particular. “In a micro app world, you build one experience on the Facebook platform and reach 1B people.”

How about building a one-experience bot so 1B people can reach businesses the same way?

Imagine, for example, that you can notify every company you deal with that your last name has changed, or you’ve replaced a credit card. It would be great to do that in one move. It would also be VRM 101. But, almost ten years into our project, nobody has built that yet. Is Facebook doing it?

Frankly, I hope not, because I don’t want to see VRM trapped inside a giant silo.

That’s why I just put up Market intelligence that flows both ways, over in Medium. (It’s a much-updated version of a post I put up here several years ago.)

In that post I describe a much better approach, based on open source code, that doesn’t require locating your soul inside a large company for which, as WhatsApp put it four years ago, you’re the product.

Here’s a diagram that shows how one person (myself, in this case) can relate to a company whose moccasins he owns:

vrmcrmconduit

The moccasins have their own pico: a cloud on the Net for a thing in the physical world. For VRM and CRM purposes, this one is a relationship conduit between customer and company.

A pico of this type comes in to being when the customer assigns the QR code to the moccasins and scans it. The customer and company can then share records about the product, or notify the other party when there’s a problem, a bargain on a new pair, or whatever. It’s tabula rasa: wide open.

The current code for this is called Wrangler. It’s open source and in Github. For the curious, Phil Windley explains how picos work in Reactive Programming With Picos.

I’ll continue on this theme in the next post. Meanwhile, my main purpose with this one is to borrow interest in where Facebook is going (if I’m guessing right) with Messenger bots, and do it one better in the open and un-silo’d world, while we still have one to hack.

 

 

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It’s People vs. Advertising, not Publishers vs. Adblockers

August 26, 2016

By now hundreds of millions of people have gone to the privacy aisles of the pharmacy departments  in their local app stores and chosen a brand of sunblock to protect themselves from unwanted exposure to the harmful rays of advertising online.

There are many choices among potions on those shelves, but basically they do one, two or three of these things:

blockers

The most popular ad blocker, Adblock Plus, is configurable to do all three, but defaults to allow “acceptable”* ads and not to block tracking.

Tracking protection products, such as Baycloud Bouncer, Ghostery, Privacy Badger and RedMorph, are not ad blockers, but can be mistaken for them. (That’s what happens for me when I’m looking at Wired through Privacy Badger on Firefox.)

It is important to recognize these distinctions, for two reasons:

  1. Ad blocking, allowing “acceptable” ads, and tracking protection are different things.
  2. All three of those things answer market demand. They are clear evidence of the marketplace at work.

Meanwhle, nearly all press coverage of what’s going on here defaults to “(name of publisher or website here) vs. ad blockers.”

This  misdirects attention away from what is actually going on: people making choices in the open market to protect themselves from intrusions they do not want.

Ad blocking and tracking protection are effects, not causes. Blame for them should not go to the people protecting themselves, or to those providing them with means for protection, but to the sources and agents of harm. Those are:

  1. Companies producing ads (aka brands)
  2. Companies distributing the ads
  3. Companies publishing the ads
  4. All producers of unwanted tracking

That’s it.

Until we shift discussion to the simple causes and effects of supply and demand, with full respect for individual human beings and the legitimate choices they make in the open marketplace, to protect the sovereign personal spaces in their lives online, we’ll be stuck in war and sports coverage that misses the simple facts underlying the whole damn thing.

Until we get straight what’s going on here, we won’t be able to save those who pay for and benefit from advertising online.

Which I am convinced we can do. I’ve written plenty about that already here.

* These are controversial. I don’t go into that here, however, because I want to shift attention from spin to facts.

 

 

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At last, a protocol to connect VRM and CRM

August 18, 2016

person-entity

We’ve been waiting a long time for a protocol to connect VRM (customers’ Vendor Relationship Management) with CRM (vendors’ Customer Relationship Management).

Now we have one. It’s called JLINC, and it’s from JLINC Labs. It’s also open source. You’ll find it at Github, here. It’s still early, at v.0.3. So there’s lots of opportunity for developers and constructive hackers of all kinds to get involved.

Specifically, JLINC is a protocol for sharing data protected by the terms under which it is shared, such as those under development by Customer Commons and the Consent and Information Sharing Working Group (CISWG) at Kantara.

The sharing instance is permanently recorded in a distributed ledger (such as a blockchain) so that both sharer and recipient have a permanent record of what was agreed to. Additionally, both parties can build up an aggregated view of their information sharing over time, so they (or their systems) can learn from and optimize it.

The central concept in JLINC is an Information Sharing Agreement (ISA). This allows for—

  1. the schema related to the data being shared so that the data can be understood by the recipient without prior agreement
  2. the terms associated with the data being shared so that they can be understood by the recipient without prior negotiation
  3. the sharing instance, and any subsequent onward sharing under the same terms, to be permanently recorded on a distributed ledger of subsequent use (compliance and analytics)

To test and demonstrate how this works, JLINC built a demonstrator to bring these three scenarios to life. The first one tackled is Intentcasting , a long-awaited promise of VRM. With an Intencast, the customer advertises her intention to buy something, essentially becoming a qualified lead. (Here are all the ProjectVRM blog posts here with the Intentcasting tag.)

Obviously, the customer can’t blab her buying intention out to the whole world, or marketers would swarm her like flies, suck up her exposed data, spam her with offers, and sell or give away her data to countless other parties.

With JLINC, intention data is made available only when the customer’s terms are signed. Those terms specify permitted uses. Here is one such set (written for site visiting, rather than intentcasting):

UserSubmittedTerms2ndDraft

These say the person’s (first party’s) data is being shared exclusively with the second party (the site), for no limit in time, for the site’s use only, provided the site also obey the customer’s Do Not Track signal. I’m showing it because it lays out one way terms can work in a familiar setting

For JLINC’s intentcasting demonstration, terms were limited to second party use only, and a duration of thirty days. But here’s the important part: the intentcast spoke to a Salesforce CRM system, which was able to—

  1. accept or reject the terms, and
  2. respond to the intentcast with an offer,
  3. while the handshake between the two was recorded in a blockchain both parties could access

This means that JLINC is not only a working protocol, but that there are ways for VRM tools and systems to use JLINC to engage CRM systems. It also means there are countless new development opportunities on both sides, working together or separately.

Here’s another cool thing:  the two biggest CRM companies, Salesforce and Oracle, will hold their big annual gatherings in the next few weeks. This means JLINC and VRM+CRM can be the subjects of both conversation and hacking at either or both events. Specifically, here are the dates:

  1. Oracle’s OpenWorld 2016 will be September 18-22.
  2. Salesforce’s Dreamforce 2016  will be October 4-7.

Both will be at the Moscone Center in San Francisco.

Conveniently, the next VRM Day and IIW will both also happen, as usual, at the end of October:

  1. VRM Day will be October 24.
  2. Internet Identity Workshop (IIW’s XXIIIth) will be October 25-27.

Both will take place at the Computer History Museum, in downtown Silicon Valley. And JLINC, which was launched at the last VRM Day, is sure to be a main topic of discussion, starting at VRM Day and continuing through IIW, which I consider the most leveraged conference in the world, especially for the price.

If all goes well, we’ll have some examples of VRM+(Oracle and/or Salesforce) CRM to show off at Demo Day at IIW.

Love to see other CRM vendors show up too. You listening, SugarCRM? (I spoke about VRM+CRM at SugarCon in 2011. Here’s my deck from that talk. What we lacked then, and since, was a protocol for that “+”. Now we have it. )

Big HT to Iain Henderson of both JLINC Labs and Customer Commons, for guiding this post, as well as conducting the test that showed, hey, it can be done!

 

 

 

 

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If it weren’t for retargeting, we might not have ad blocking

August 14, 2016

jblflip2This is a shopping vs. advertising story that starts with the JBP Flip 2 portable speaker I bought last year, when Radio Shack was going bankrupt and unloading gear in “Everything Must Go!” sales. I got it half-off for $50, choosing it over competing units on the same half-bare shelves, mostly because of the JBL name, which I’ve respected for decades. Before that I’d never even listened to one.

The battery life wasn’t great, but the sound it produced was much better than anything my laptop, phone or tablet put out. It was also small, about the size of a  beer can, so I could easily take it with me on the road. Which I did. A lot.

Alas, like too many other small devices, the Flip 2’s power jack was USB micro-b. That’s the tiny flat one that all but requires a magnifying glass to see which side is up, and tends to damage the socket if you don’t slip it in exactly right, or if you force it somehow. While micro-b jacks are all design-flawed that way, the one in my Flip 2 was so awful that it took great concentration to make sure the plug jacked in without buggering the socket.

Which happened anyway. One day, at an AirBnB in Maine, the Flip 2’s USB socket finally failed. The charger cable would fit into the socket, but the socket was loose, and the speaker wouldn’t take a charge. After efforts at resuscitation failed, I declared the Flip 2 dead.

But I was still open to buying another one. So, to replace it, I did what most of us do: I went to Amazon. Naturally, there were plenty of choices, including JBL Flip 2s and newer Flip 3s, at attractive prices. But Consumer Reports told me the best of the bunch was the Bose Soundlink Color, for $116.

So I bought a white Bose, because my wife liked that better than the red JBL.

The Bose filled Consumer Reports’ promise. While it isn’t stereo, it sounds much better than the JBL (voice quality and bass notes are remarkable). It’s also about the same size (though with a boxy rather than a cylindrical shape), has better battery life, and a better user interface. I hate that it  charges through a micro-b jack, but at least this one is easier to plug and unplug than the Flip 2 had been. So that story had a happy beginning, at least for me and Bose.

It was not happy, however, for me and Amazon.

Remember when Amazon product pages were no longer than they needed to be? Those days are gone. Now pages for every product seem to get longer and longer, and can take forever to load. Worse, Amazon’s index page is now encrusted with promotional jive. Seems like nearly everything “above the fold” (before you scroll down) is now a promo for Amazon Fashion, the latest Kindle, Amazon Prime, or the company credit card—plus rows of stuff “inspired by your shopping trends” and “related to items you’ve viewed.”

But at least that stuff risks being useful. What happens when you leave the site, however, isn’t. That’s because, unless you’re running an ad blocker or tracking protection, Amazon ads for stuff you just viewed, or put in your shopping cart, follow you from one ad-supported site to another, barking at you like a crazed dog. For example:

amazon1

I lost count of how many times, and in how many places, I saw this Amazon ad, or one like it, for one speaker, the other, or both, after I finished shopping and put the Bose speaker in my cart.

Why would Amazon advertise something at me that I’ve already bought, along with a competing product I obviously chose not to buy? Why would Amazon think it’s okay to follow me around when I’m not in their store? And why would they think that kind of harassment is required, or even okay, especially when the target has been a devoted customer for more than two decades, and sure to return and buy all kinds of stuff anyway?  Jeez, they have my business!

And why would they go out of their way to appear both stupid and robotic?

The answers, whatever they are, are sure to be both fully rationalized and psychotic, meaning disconnected from reality, which is the marketplace where real customers live, and get pissed off.

And Amazon is hardly alone at this. In fact the practice is so common that it became an Onion story in October 2018: Woman Stalked Across 8 Websites By Obsessed Shoe Advertisement.

The ad industry’s calls this kind of stalking “retargeting,” and it is the most obvious evidence that we are being tracked on the Net. The manners behind this are completely at odds with those in the physical world, where no store would place a tracking beacon on your body and use it to follow you everywhere you go after you leave. But doing exactly that is pro forma for marketing in the digital world.

When you click on that little triangular symbol in the corner of the ad, you can see how the “interactive” wing of the advertising business, generally called adtech, rationalizes surveillance:

adchoices1The program is called AdChoices, and it’s a creation of those entities in the lower right corner. The delusional conceits behind AdChoices are many:

  1. That Ad Choices is “yours.” It’s not. It’s theirs.
  2. That “right ads” exist, and that we want them to find us, at all times.
  3. That making the choices they provide actually gives us control of advertising online.
  4. That our personal agency—the power to act with full effect in the world—is a grace of marketers, and not of our own independent selves.

Not long after I did that little bit of shopping on Amazon, I also did a friend the favor of looking for clothes washers, since the one in her basement crapped out and she’s one of those few people who don’t use the Internet and never will. Again I consulted Consumer Reports, which recommended a certain LG washer in my friend’s price range. I looked for it on the Web and found the best price was at Home Depot. So I told her about it, and that was that.

For me that should have been the end of it. But it wasn’t, because now I was being followed by Home Depot ads for the same LG washer and other products I wasn’t going to buy, from Home Depot or anybody else. Here’s one:

homedepot1

Needless to say, this didn’t endear me to Home Depot, to LG, or to any of the sites where I got hit with these ads.

All these parties failed not only in their mission to sell me something, but to enhance their own brands. Instead they subtracted value for everybody in the supply chain of unwelcome tracking and unwanted message targeting. They also explain (as Don Marti does here) why ad blocking has grown exactly in pace with growth in retargeting.

I subjected myself to all this by experimentally turning off tracking protection and ad blockers on one of my browsers, so I could see how the commercial Web works for the shrinking percentage of people who don’t protect themselves from this kind of abuse. I do a lot of that, as part of my work with ProjectVRM. I also experiment a lot with different kinds of tracking protection and ad blocking, because the developers of those tools are encouraged by that same work here.

For those new to the project, VRM stands for Vendor Relationship Management, the customer-side counterpart of Customer Relationship Management, the many-$billion business by which companies manage their dealings with customers—or try to.

Our purpose with ProjectVRM is to encourage development of tools that give us both independence from the companies we engage with, and better ways of engaging than CRM alone provides: ways of engaging that we own, and are under our control. And relate to the CRM systems of the world as well. Our goal is VRM+CRM, not VRM vs. CRM.

Ad blocking and tracking protection are today at the leading edge of VRM development, because they are popular and give us independence. Engagement, however, isn’t here yet—at least not at the same level of popularity. And it probably won’t get here until we finish curing business of the brain cancer that adtech has become.

[Later…] After reading this, a friend familiar with the adtech business told me he was sure Bose’s and JPL’s agencies paid Amazon’s system for showing ads to “qualified leads,” and that Amazon’s system preferred to call me a qualified lead rather than a customer whose purchase of a Bose speaker (from Amazon!) mattered less than the fact that its advertising system could now call me a qualified lead. In other words, Amazon was, in a way, screwing Bose and JPL. If anyone has hard facts about this, please send them along. Until then I’ll consider this worth sharing but still unproven.