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Just before it started, the geology meeting at the Santa Barbara Central Library on Thursday looked like this from the front of the room (where I also tweeted the same pano):

Geologist Ed Keller

Our speakers were geology professor Ed Keller of UCSB and Engineering Geologist Larry Gurrola, who also works and studies with Ed. That’s Ed in the shot below.

As a geology freak, I know how easily terms like “debris flow,” “fanglomerate” and “alluvial fan” can clear a room. But this gig was SRO. That’s because around 3:15 in the morning of January 9th, debris flowed out of canyons and deposited fresh fanglomerate across the alluvial fan that comprises most of Montecito, destroying (by my count on the map below) 178 buildings, damaging more than twice that many, and killing 23 people. Two of those—a 2 year old girl and a 17 year old boy—are still interred in the fresh fanglomerate and sought by cadaver dogs. The whole thing is beyond sad and awful.

The town was evacuated after the disaster so rescue and recovery work could proceed without interference, and infrastructure could be found and repaired: a job that required removing twenty thousand truckloads of mud and rocks. That work continues while evacuation orders are gradually lifted, allowing the town to repopulate itself to the very limited degree it can.

I talked today with a friend whose business is cleaning houses. Besides grieving the dead, some of whom were friends or customers, she reports that the cleaning work is some of the worst she has ever seen, even in homes that were spared the mud and rocks. Refrigerators and freezers, sitting closed and without electricity for weeks, reek of death and rot. Other customers won’t be back because their houses are gone.

Highway 101, one of just two freeways connecting Northern and Southern California, runs through town near the coast and more than two miles from the mountain front. Three debris flows converged on the highway and used it as a catch basin, filling its deep parts to the height of at least one bridge before spilling over its far side and continuing to the edge of the sea. It took two weeks of constant excavation and repair work before traffic could move again. Most exits remain closed. Coast Village Road, Montecito’s Main Street, is open for employees of stores there, but little is open for customers yet, since infrastructural graces such as water are not fully restored. (I saw the Honor Bar operating with its own water tank, and a water truck nearby.) Opening Upper Village will take longer. Some landmark institutions, such as San Ysidro Ranch and La Casa Santa Maria, will take years to restore. (From what I gather, San Ysidro Ranch, arguably the nicest hotel in the world, was nearly destroyed. Its website thank firefighters for salvation from the Thomas Fire. But nothing, I gather, could have save it from the huge debris flow wiped out nearly everything on the flanks of San Ysidro Creek. (All the top red dots along San Ysidro Creek in the map below mark lost buildings at the Ranch.)

Here is a map with final damage assessments. I’ve augmented it with labels for the canyons and creeks (with one exception: a parallel creek west of Toro Canyon Creek):

Click on the map for a closer view, or click here to view the original. On that one you can click on every dot and read details about it.

I should pause to note that Montecito is no ordinary town. Demographically, it’s Beverly Hills draped over a prettier landscape and attractive to people who would rather not live in Beverly Hills. (In fact the number of notable persons Wikipedia lists for Montecito outnumbers those it lists for Beverly Hills by a score of 77 to 71.) Culturally, it’s a village. Last Monday in The New Yorker, one of those notable villagers, T.Coraghessan Boyle, unpacked some other differences:

I moved here twenty-five years ago, attracted by the natural beauty and semirural ambience, the short walk to the beach and the Lower Village, and the enveloping views of the Santa Ynez Mountains, which rise abruptly from the coastal plain to hold the community in a stony embrace. We have no sidewalks here, if you except the business districts of the Upper and Lower Villages—if we want sidewalks, we can take the five-minute drive into Santa Barbara or, more ambitiously, fight traffic all the way down the coast to Los Angeles. But we don’t want sidewalks. We want nature, we want dirt, trees, flowers, the chaparral that did its best to green the slopes and declivities of the mountains until last month, when the biggest wildfire in California history reduced it all to ash.

Fire is a prerequisite for debris flows, our geologists explained. So is unusually heavy rain in a steep mountain watershed. There are five named canyons, each its own watershed, above Montecito, as we see on the map above. There are more to the east, above Summerland and Carpinteria, the next two towns down the coast. Those towns also took some damage, though less than Montecito.

Ed Keller put up this slide to explain conditions that trigger debris flows, and how they work:

Ed and Larry were emphatic about this: debris flows are not landslides, nor do many start that way (though one did in Rattlesnake Canyon 1100 years ago). They are also not mudslides, so we should stop calling them that. (Though we won’t.)

Debris flows require sloped soils left bare and hydrophobic—resistant to water—after a recent wildfire has burned off the chaparral that normally (as geologists say) “hairs over” the landscape. For a good look at what soil surfaces look like, and are likely to respond to rain, look at the smooth slopes on the uphill side of 101 east of La Conchita. Notice how the surface is not only a smooth brown or gray, but has a crust on it. In a way, the soil surface has turned to glass. That’s why water runs off of it so rapidly.

Wildfires are common, and chaparral is adapted to them, becoming fuel for the next fire as it regenerates and matures. But rainfalls as intense as this one are not common. In just five minutes alone, more than half an inch of rain fell in the steep and funnel-like watersheds above Montecito. This happens about once every few hundred years, or about as often as a tsunami.

It’s hard to generalize about the combination of factors required, but Ed has worked hard to do that, and this slide of his is one way of illustrating how debris flows happen eventually in places like Montecito and Santa Barbara:

From bottom to top, here’s what it says:

  1. Fires happen almost regularly, spreading most widely where chaparral has matured to become abundant fuel, as the firefighters like to call it.
  2. Flood events are more random, given the relative rarity of rain and even more rare rains of “biblical” volume. But they do happen.
  3. Stream beds in the floors of canyons accumulate rocks and boulders that roll down the gradually eroding slopes over time. The depth of these is expressed as basin instablity. Debris flows clear out the rocks and boulders when a big flood event comes right after a fire and basin becomes stable (relatively rock-free) again.
  4. The sediment yield in a flood (F) is maximum when a debris flow (DF) occurs.
  5. Debris flows tend to happen once every few hundred years. And you’re not going to get the big ones if you don’t have the canyon stream bed full of rocks and boulders.

About this set of debris flows in particular:

  1. Destruction down Oak Creek wasn’t as bad as on Montecito, San Ysidro, Buena Vista and Romero Creeks because the canyon feeding it is smaller.
  2. When debris flows hit an obstruction, such as a bridge, they seek out a new bed to flow on. This is one of the actions that creates an alluvial fan. From the map it appears something like that happened—
    1. Where the flow widened when it hit Olive Mill Road, fanning east of Olive Mill to destroy all three blocks between Olive Mill and Santa Elena Lane before taking the Olive Mill bridge across 101 and down to the Biltmore while also helping other flows fill 101 as well. (See Mac’s comment below, and his link to a top map.)
    2. In the area between Buena Vista Creek and its East Fork, which come off different watersheds
    3. Where a debris flow forked south of Mountain Drive after destroying San Ysidro Ranch, continuing down both Randall and El Bosque Roads.

For those who caught (or are about to catch) Ellen’s Facetime with Oprah visiting neighbors, that happened among the red dots at the bottom end of the upper destruction area along San Ysidro Creek, just south of East Valley Road. Oprah’s own place is in the green area beside it on the left, looking a bit like Versailles. (Credit where due, though: Oprah’s was a good and compassionate report.)

Big question: did these debris flows clear out the canyon floors? We (meaning our geologists, sedimentologists, hydrologists and other specialists) won’t know until they trek back into the canyons to see how it all looks. Meanwhile, we do have clues. For example, here are after-and-before photos of Montecito, shot from space. And here is my close-up of the latter, shot one day after the event, when everything was still bare streambeds in the mountains and fresh muck in town:

See the white lines fanning back into the mountains through the canyons (Cold Spring, San Ysidro, Romero, Toro) above Montecito? Ed explained that these appear to be the washed out beds of creeks feeding into those canyons. Here is his slide showing Cold Spring Creek before and after the event:

Looking back at Ed’s basin threshold graphic above, one might say that there isn’t much sediment left for stream beds to yield, and that those in the floors of the canyons have returned to stability, meaning there’s little debris left to flow.

But that photo was of just one spot. There are many miles of creek beds to examine back in those canyons.

Still, one might hope that Montecito has now had its required 200-year event, and a couple more centuries will pass before we have another one.

Ed and Larry caution against such conclusions, emphasizing that most of Montecito’s and Santa Barbara’s inhabited parts gain their existence, beauty or both by grace of debris flows. If your property features boulders, Ed said, a debris flow put them there, and did that not long ago in geologic time.

For an example of boulders as landscape features, here are some we quarried out of our yard more than a decade ago, when we were building a house dug into a hillside:

This is deep in the heart of Santa Barbara.

The matrix mud we now call soil here is likely a mix of Juncal and Cozy Dell shale, Ed explained. Both are poorly lithified silt and erode easily. The boulders are a mix of Matilija and Coldwater sandstone, which comprise the hardest and most vertical parts of the Santa Ynez mountains. The two are so similar that only a trained eye can tell them apart.

All four of those geological formations were established long after dinosaurs vanished. All also accumulated originally as sediments, mostly on ocean floors, probably not far from the equator.

To illustrate one chapter in the story of how those rocks and sediments got here, UCSB has a terrific animation of how the transverse (east-west) Santa Ynez Mountains came to be where they are. Here are three frames in that movie:

What it shows is how, when the Pacific Plate was grinding its way northwest about eighteen million years ago, a hunk of that plate about a hundred miles long and the shape of a bread loaf broke off. At the top end was the future Malibu hills and at the bottom end was the future Point Conception, then situated south of what’s now Tijuana. The future Santa Barbara was west of the future Newport Beach. Then, when the Malibu end of this loaf got jammed at the future Los Angeles, the bottom end of the loaf swept out, clockwise and intact. At the start it was pointing at 5 o’clock and at the end (which isn’t), it pointed at 9:00. This was, and remains, a sideshow off the main event: the continuing crash of the Pacific Plate and the North American one.

Here is an image that helps, from that same link:

Find more geology, with lots of links, in Making sense of what happened to Montecito. I put that post up on the 15th and have been updating it since then. It’s the most popular post in the history of this blog, which I started in 2007. There are also 58 comments, so far.

I’ll be adding more to this post after I visit as much as I can of Montecito (exclusion zones permitting). Meanwhile, I hope this proves useful. Again, corrections and improvements are invited.

30 January

 

This post continues the inquiry I started with Making sense of what happened to Montecito. That post got a record number of reads for this blog, and 57 comments as well.

I expect to learn more at the community meeting this evening with UCSB geologist Ed Keller in the Faulkner Room in the main library in Santa Barbara. Here’s the Library schedule. Note that the meeting will be streamed live on Facebook.

Meanwhile, to help us focus on the geology questions, here is the final post-mudslide damage inspection map of Montecito:

I left out Carpinteria, because of the four structures flagged there, three were blue (affected) and one was yellow (minor), and none were orange (major) or red (destroyed). I’m also guessing they were damaged by flooding rather than debris flow. I also want to make the map as legible as possible, so we can focus on where the debris flows happened, and how we might understand the community’s prospects for the future.

So here are my questions, all subject to revision and correction.

  1. How much of the damage was due to debris flow alone, and how much to other factors (e.g. rain-caused flooding, broken water pipes)?
  2. Was concentration of rain the main reason why we saw flows in the canyons above Montecito, but not (or less so) elsewhere?
  3. Where exactly did the debris flow from? And has the area been surveyed well enough to predict what future debris flows might happen if we get big rains this winter and ones to follow?
  4. Do we need bigger catch basins for debris, like they have at the base of the San Gabriels, above Los Angeles’ basin?
  5. How do the slopes above Montecito and Santa Barbara differ from other places (e.g. the San Gabriels) where debris flows (and rock falls) are far more common?
  6. What geology-advised changes in our infrastructure (especially water and gas) might we make, based on what we’ve learned so far?
  7. What might we expect (that most of us don’t now) in the form of other catastrophes that show up in the geologic record? For example, earthquakes and tsunamis. See here: “This earthquake was associated with by far the largest seismic sea wave ever reported for one originating in California. Descriptive accounts indicate that it may have reached elevations of 15 feet at Gaviota, 30 to 35 feet at Santa Barbara, and 15 feet or more in Ventura. It may have even shown visible effects in the San Francisco harbor.” There is also this, which links to questions about the former report. (Still, there have been a number of catastrophic earthquakes on or affecting the South Coast, and it has been 93 years since the 1925 quake — and the whole Pacific Coast is subject to tsunamis. Here are some photos of the quake.)

Note that I don’t want to ask Ed to play a finger-pointing role here. Laying blame isn’t his job, unless he’s blaming nature for being itself.

Additional reading:

  • Dan McCaslin: Rattlesnake Canyon Fine Now for Day Hiking (Noozhawk) Pull-quote: “Santa Barbara geologist Ed Keller has said that all of Santa Barbara is built on debris flows piled up during the past 60,000 years. Around 1100 A.D., a truly massive debris flow slammed through Rattlesnake Canyon into Mission Canyon, leaving large boulders as far down as the intersection of Alamar Avenue and State Street (go check). There were Chumash villages in the area, and they may have been completely wiped out then. While some saddened Montecitans claim that sudden flash floods and debris flows should have been forecast more accurately, this seems impossible.”
  • Those deadly mudslides you’ve read about? Expect worse in the future. (Wall Street Journal) Pull-quote: “Montecito is particularly at risk as the hill slopes above town are oversteepened by faulting and rapid uplift, and much of the town is built on deposits laid down by previous floods. Some debris basins were in place, but they were quickly overtopped by the hundreds of thousands of cubic yards of water and sediment. While high post-fire runoff and erosion rates could be expected, it was not possible to accurately predict the exact location and extreme magnitude of this particular storm and resulting debris flows.”
  • Evacuation Areas Map.
  • Thomas Fire: Forty Days of Devastation (LA Times) Includes what happened to Montecito. Excellent step-by-step 3D animation.

Take a look at this chart:

CryptoCurrency Market Capitalizations

screen-shot-2017-06-21-at-10-37-51-pm

As Neo said, Whoa.

To help me get my head fully around all that’s going on behind that surge, or mania, or whatever it is, I’ve composed a lexicon-in-process that I’m publishing here so I can find it again. Here goes:::

Bitcoin. “A cryptocurrency and a digital payment system invented by an unknown programmer, or a group of programmers, under the name Satoshi Nakamoto. It was released as open-source software in 2009. The system is peer-to-peer, and transactions take place between users directly, without an intermediary. These transactions are verified by network nodes and recorded in a public distributed ledger called a blockchain. Since the system works without a central repository or single administrator, bitcoin is called the first decentralized digital currency.” (Wikipedia.)

Cryptocurrency. “A digital asset designed to work as a medium of exchange using cryptography to secure the transactions and to control the creation of additional units of the currency. Cryptocurrencies are a subset of alternative currencies, or specifically of digital currencies. Bitcoin became the first decentralized cryptocurrency in 2009. Since then, numerous cryptocurrencies have been created. These are frequently called altcoins, as a blend of bitcoin alternative. Bitcoin and its derivatives use decentralized control as opposed to centralized electronic money/centralized banking systems. The decentralized control is related to the use of bitcoin’s blockchain transaction database in the role of a distributed ledger.” (Wikipedia.)

“A cryptocurrency system is a network that utilizes cryptography to secure transactions in a verifiable database that cannot be changed without being noticed.” (Tim Swanson, in Consensus-as-a-service: a brief report on the emergence of permissioned, distributed ledger systems.)

Distributed ledger. Also called a shared ledger, it is “a consensus of replicated, shared, and synchronized digital data geographically spread across multiple sites, countries, or institutions.” (Wikipedia, citing a report by the UK Government Chief Scientific Adviser: Distributed Ledger Technology: beyond block chain.) A distributed ledger requires a peer-to-peer network and consensus algorithms to ensure replication across nodes. The ledger is sometimes also called a distributed database. Tim Swanson adds that a distributed ledger system is “a network that fits into a new platform category. It typically utilizes cryptocurrency-inspired technology and perhaps even part of the Bitcoin or Ethereum network itself, to verify or store votes (e.g., hashes). While some of the platforms use tokens, they are intended more as receipts and not necessarily as commodities or currencies in and of themselves.”

Blockchain.”A peer-to-peer distributed ledger forged by consensus, combined with a system for ‘smart contracts’ and other assistive technologies. Together these can be used to build a new generation of transactional applications that establishes trust, accountability and transparency at their core, while streamlining business processes and legal constraints.” (Hyperledger.)

“To use conventional banking as an analogy, the blockchain is like a full history of banking transactions. Bitcoin transactions are entered chronologically in a blockchain just the way bank transactions are. Blocks, meanwhile, are like individual bank statements. Based on the Bitcoin protocol, the blockchain database is shared by all nodes participating in a system. The full copy of the blockchain has records of every Bitcoin transaction ever executed. It can thus provide insight about facts like how much value belonged a particular address at any point in the past. The ever-growing size of the blockchain is considered by some to be a problem due to issues like storage and synchronization. On an average, every 10 minutes, a new block is appended to the block chain through mining.” (Investopedia.)

“Think of it as an operating system for marketplaces, data-sharing networks, micro-currencies, and decentralized digital communities. It has the potential to vastly reduce the cost and complexity of getting things done in the real world.” (Hyperledger.)

Permissionless system. “A permissionless system [or ledger] is one in which identity of participants is either pseudonymous or even anonymous. Bitcoin was originally designed with permissionless parameters although as of this writing many of the on-ramps and off-ramps for Bitcoin are increasingly permission-based. (Tim Swanson.)

Permissioned system. “A permissioned system -[or ledger] is one in which identity for users is whitelisted (or blacklisted) through some type of KYB or KYC procedure; it is the common method of managing identity in traditional finance.” (Tim Swanson)

Mining. “The process by which transactions are verified and added to the public ledger, known as the blockchain. (It is) also the means through which new bitcoin are released. Anyone with access to the Internet and suitable hardware can participate in mining. The mining process involves compiling recent transactions into blocks and trying to solve a computationally difficult puzzle. The participant who first solves the puzzle gets to place the next block on the block chain and claim the rewards. The rewards, which incentivize mining, are both the transaction fees associated with the transactions compiled in the block as well as newly released bitcoin.” (Investopedia.)

Ethereum. “An open-source, public, blockchain-based distributed computing platform featuring smart contract (scripting) functionality, which facilitates online contractual agreements. It provides a decentralized Turing-complete virtual machine, the Ethereum Virtual Machine (EVM), which can execute scripts using an international network of public nodes. Ethereum also provides a cryptocurrency token called “ether”, which can be transferred between accounts and used to compensate participant nodes for computations performed. Gas, an internal transaction pricing mechanism, is used to mitigate spam and allocate resources on the network. Ethereum was proposed in late 2013 by Vitalik Buterin, a cryptocurrency researcher and programmer. Development was funded by an online crowdsale during July–August 2014. The system went live on 30 July 2015, with 11.9 million coins “premined” for the crowdsale… In 2016 Ethereum was forked into two blockchains, as a result of the collapse of The DAO project. The two chains have different numbers of users, and the minority fork was renamed to Ethereum Classic.” (Wikipedia.)

Decentralized Autonomous Organization. This is “an organization that is run through rules encoded as computer programs called smart contracts. A DAO’s financial transaction record and program rules are maintained on a blockchain… The precise legal status of this type of business organization is unclear. The best-known example was The DAO, a DAO for venture capital funding, which was launched with $150 million in crowdfunding in June 2016 and was immediately hacked and drained of US$50 million in cryptocurrency… This approach eliminates the need to involve a bilaterally accepted trusted third party in a financial transaction, thus simplifying the sequence. The costs of a blockchain enabled transaction and of making available the associated data may be substantially lessened by the elimination of both the trusted third party and of the need for repetitious recording of contract exchanges in different records: for example, the blockchain data could in principle, if regulatory structures permitted, replace public documents such as deeds and titles. In theory, a blockchain approach allows multiple cloud computing users to enter a loosely coupled peer-to-peer smart contract collaboration.(Wikipedia)

Initial Coin Offering. “A means of crowdfunding the release of a new cryptocurrency. Generally, tokens for the new cryptocurrency are sold to raise money for technical development before the cryptocurrency is released. Unlike an initial public offering (IPO), acquisition of the tokens does not grant ownership in the company developing the new cryptocurrency. And unlike an IPO, there is little or no government regulation of an ICO.” (Chris Skinner.)

“In an ICO campaign, a percentage of the cryptocurrency is sold to early backers of the project in exchange for legal tender or other cryptocurrencies, but usually for Bitcoin…During the ICO campaign, enthusiasts and supporters of the firm’s initiative buy some of the distributed cryptocoins with fiat or virtual currency. These coins are referred to as tokens and are similar to shares of a company sold to investors in an Initial Public Offering (IPO) transaction.” (Investopedia.)

Tokens. “In the blockchain world, a token is a tiny fraction of a cryptocurrency (bitcoin, ether, etc) that has a value usually less than 1/1000th of a cent, so the value is essentially nothing, but it can still go onto the blockchain…This sliver of currency can carry code that represents value in the real world — the ownership of a diamond, a plot of land, a dollar, a share of stock, another cryptocurrency, etc. Tokens represent ownership of the underlying asset and can be traded freely. One way to understand it is that you can trade physical gold, which is expensive and difficult to move around, or you can just trade tokens that represent gold. In most cases, it makes more sense to trade the token than the asset. Tokens can always be redeemed for their underlying asset, though that can often be a difficult and expensive process. Though technically they could be redeemed, many tokens are designed never to be redeemed but traded forever. On the other hand, a ticket is a token that is designed to be redeemed and may or may not be trade-able” (TokenFactory.)

“Tokens in the ethereum ecosystem can represent any fungible tradable good: coins, loyalty points, gold certificates, IOUs, in game items, etc. Since all tokens implement some basic features in a standard way, this also means that your token will be instantly compatible with the ethereum wallet and any other client or contract that uses the same standards. (Ethereum.org/token.)

“The most important takehome is that tokens are not equity, but are more similar to paid API keys. Nevertheless, they may represent a >1000X improvement in the time-to-liquidity and a >100X improvement in the size of the buyer base relative to traditional means for US technology financing — like a Kickstarter on steroids.” (Thoughts on Tokens, by Balaji S. Srinivasan.)

“A blockchain token is a digital token created on a blockchain as part of a decentralized software protocol. There are many different types of blockchain tokens, each with varying characteristics and uses. Some blockchain tokens, like Bitcoin, function as a digital currency. Others can represent a right to tangible assets like gold or real estate. Blockchain tokens can also be used in new protocols and networks to create distributed applications. These tokens are sometimes also referred to as App Coins or Protocol Tokens. These types of tokens represent the next phase of innovation in blockchain technology, and the potential for new types of business models that are decentralized – for example, cloud computing without Amazon, social networks without Facebook, or online marketplaces without eBay. However, there are a number of difficult legal questions surrounding blockchain tokens. For example, some tokens, depending on their features, may be subject to US federal or state securities laws. This would mean, among other things, that it is illegal to offer them for sale to US residents except by registration or exemption. Similar rules apply in many other countries. (A Securities Law Framework for Blockchain Tokens.)

In fact tokens go back. All the way.

In Before Writing Volume I: From Counting to Cuneiform, Denise Schmandt-Besserat writes, “Tokens can be traced to the Neolithic period starting about 8000 B.C. They evolved following the needs of the economy, at first keeping track of the products of farming…The substitution of signs for tokens was the first step toward writing.” (For a compression of her vast scholarship on the matter, read Tokens: their Significance for the Origin of Counting and Writing.

I sense that we are now at a threshold no less pregnant with possibilities than we were when ancestors in Mesopotamia rolled clay into shapes, made marks on them and invented t-commerce.

And here is a running list of sources I’ve visited, so far:

You’re welcome.

To improve it, that is.

 

amsterdam-streetImagine you’re on a busy city street where everybody who disagrees with you disappears.

We have that city now. It’s called media—especially the social kind.

You can see how this works on Wall Street Journal‘s Blue Feed, Red Feed page. Here’s a screen shot of the feed for “Hillary Clinton” (one among eight polarized topics):

blue-red-wsj

Both invisible to the other.

We didn’t have that in the old print and broadcast worlds, and still don’t, where they persist. (For example, on news stands, or when you hit SCAN on a car radio.)

But we have it in digital media.

Here’s another difference: a lot of the stuff that gets shared is outright fake. There’s a lot of concern about that right now:

fakenews

Why? Well, there’s a business in it. More eyeballs, more advertising, more money, for more eyeballs for more advertising. And so on.

Those ads are aimed by tracking beacons planted in your phones and browsers, feeding data about your interests, likes and dislikes to robot brains that work as hard as they can to know you and keep feeding you more stuff that stokes your prejudices. Fake or not, what you’ll see is stuff you are likely to share with others who do the same. This business that pays for this is called “adtech,” also known as “interest based” or “interactive” advertising. But those are euphemisms. Its science is all about stalking. They can plausibly deny it’s personal. But it is.

The “social” idea is “markets as conversations” (a personal nightmare for me, gotta say). The business idea is to drag as many eyeballs as possible across ads that are aimed by the same kinds of creepy systems. The latter funds the former.

Rather than unpack that, I’ll leave that up to the rest of ya’ll, with a few links:

 

I want all the help I can get unpacking this, because I’m writing about it in a longer form than I’m indulging in here. Thanks.

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cropped-wst-logo-main[3 December update: Here is a video of the panel.]

So I was on a panel at WebScience@10 in London (@WebScienceTrust, #WebSci10), where the first question asked was, “What are two aspects of ‘trust and the Web’ that you think are most relevant/important at the moment?” My answer went something like this::::

1) The Net is young, and the Web with it.

Both were born in their current forms on 30 April 1995, when the NSFnet backed off on its forbidding commercial traffic on its pipes. This opened the whole Net to absolutely everything, exactly when the graphical Web browser became fully useful.

Twenty-one years in the history of a world is nothing. We’re still just getting started here.

2) The Internet, like nature, did not come with privacy. And privacy is personal. We need to start there.

We arrived naked in this new world, and — like Adam and Eve — still don’t have clothing and shelter.

The browser should have been a private tool in the first place, but it wasn’t; and it won’t be, so long as we leave improving it mostly up to companies with more interest in violating our privacy than providing it.

Just 21 years into this new world, we still need our own clothing, shelter, vehicles and private spaces. Browsers included. We will only get privacy if our tools provide it as a simple fact.

We also need to be the first parties, rather than the second ones, in our social and business agreements. In other words, others need to accept our terms, rather than vice versa. As first parties, we are independent. As second parties, we are dependent. Simple as that. Without independence, without agency, without the ability to initiate, without the ability to obtain agreement on our own terms, it’s all just more of the same old industrial model.

In the physical world, our independence earns respect, and that’s what we give to others as a matter of course. Without that respect, we don’t have civilization. This is why the Web we have today is still largely uncivilized.

We can only civilize the Net and the Web by inventing digital clothing and doors for people, and by providing standard agreements private individuals can assert in their dealings with others.

Inventing yet another wannabe unicorn to provide “privacy as a service” won’t do it. Nor will regulating the likes of Facebook and Google, or expecting them to become interested in building protections, when their businesses depend on the absence of those protections.

Fortunately, work has begun on personal privacy tools, and agreements we can each assert. And we can talk about those.

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shackles

Who Owns the Mobile Experience? is a report by Unlockd on mobile advertising in the U.K. To clarify the way toward an answer, the report adds, “mobile operators or advertisers?”

The correct answer is neither. Nobody’s experience is “owned” by somebody else.

True, somebody else may cause a person’s experience to happen. But causing isn’t the same as owning.

We own our selves. That includes our experiences.

This is an essential distinction. For lack of it, both mobile operators and advertisers are delusional about their customers and consumers. (That’s an important distinction too. Operators have customers. Advertisers have consumers. Customers pay, consumers may or may not. That the former also qualifies as the latter does not mean the distinction should not be made. Sellers are far more accountable to customers than advertisers are to consumers.)

It’s interesting that Unlockd’s survey shows almost identically high levels of delusion by advertisers and operators…

  • 85% of advertisers and 82% of operators “think the mobile ad experience is positive for end users”
  • 3% of advertisers and 1% of operators admit “it could be negative”
  • Of the 85% of advertisers who think the experience is positive, 50% “believe it’s because products advertised are relevant to the end user”
  • “the reasons for this opinion is driven from the belief that users are served detail around products that are relevant to them.”

… while:

  • 47% of consumers think “the mobile phone ad experience (for them) is positive”
  • 39% of consumers “think ads are irrelevant
  • 36% blame “poor or irritating format”
  • 40% “believe the volume of ads served to them are a main reason for the negative experience”

It’s amazing but not surprising to me that mobile operators apparently consider their business to be advertising more than connectivity. This mindset is also betrayed by AT&T charging a premium for privacy and Comcast wanting to do the same. (Advertising today, especially online, does not come with privacy. Quite the opposite, in fact. A great deal of it is based on tracking people. Shoshana Zuboff calls this surveillance capitalism.)

Years ago, when I consulted BT, JP Rangaswami (@jobsworth), then BT’s Chief Scientist, told me phone companies’ core competency was billing, not communications. Since those operators clearly wish to be in the “content” business now, and to make money the same way print and broadcast did for more than a century, it makes sense that they imagine themselves now to be one-way conduits for ad-fortified content, and not just a way people and things (including the ones called products and companies) can connect to each other.

The FCC and other regulators need to bear this in mind as they look at what operators are doing to the Internet. I mean, it’s good and necessary for regulators to care about neutrality and privacy of Internet services, but a category error is being made if regulators fail to recognize that the operators want to be “content distributors” on the models of commercial broadcasting (funded by advertising) and the post office (funded by junk mail, which is the legacy model of today’s personalized direct response advertising  online).

I also have to question how consumers were asked by this survey about their mobile ad experiences. Let me see a show of hands: how many here consider their mobile phone ad experience “positive?” Keep your hands down if you are associated in any way with advertising, phone companies or publishing. When I ask this question, or one like it (e.g. “Who here wants to see ads on their phone?”) in talks I give, the number of raised hands is usually zero. If it’s not, the few parties with raised hands offer qualified responses, such as, “I’d like to see coupons when I’m in a store using a shopping app.”

Another delusion of advertisers and operators is that all ads should be relevant. They don’t need to be. In fact, the most valuable ads are not targeted personally, but across populations, so large populations can become familiar with advertised products and services.

It’s a simple fact that branding wouldn’t exist without massive quantities of ads being shown to people for whom the ads are irrelevant. Few of us would know the brands of Procter & Gamble, Unilever, L’Oreal, Coca-Cola, Nestlé, General Motors, Volkswagen, Mars or McDonald’s (the current top ten brand advertisers worldwide) if not for the massive amounts of money those companies spend advertising to people who will never buy their products but will damn sure known those products’ names. (Don Marti explains this well.)

A hard fact that the advertising industry needs to face is that there is very little appetite for ads on the receiving end. People put up with it on TV and radio, and in print, but for the most part they don’t like it. (The notable exceptions are print ads in fashion magazines and other high-quality publications. And classifieds.)

Appetites for ads, and all forms of content, should be consumers’ own. This means consumers need to be able to specify the kind of advertising they’re looking for, if any.

Even then, the far more valuable signal coming from consumers is (or will be) an actual desire for certain products and services. In marketing lingo, these signals are qualified leads. In VRM lingo, these signals  are intentcasts. With intentcasting, the customers do the advertising, and are in full control of the process. And they are no longer mere consumers (which Jerry Michalski calls “gullets with wallets and eyeballs”).

It helps that there are dozens of companies in this business already.

So it would be far more leveraged for operators to work with those companies than with advertising systems so disconnected from reality that they’ve caused hundreds of millions of people to block ads on their mobile devices — and are in such deep denial of the market’s clear messages that they deny the legitimacy of a clear personal choice, misdirecting attention toward the makers of ad blocking tools, and away from what’s actually happening: people asserting power over their own lives and private spaces (e.g. their browsers) online.

If companies actually believe in free markets, they need to believe in free customers. Those are people who, at the very least, are in charge of their own experiences in the networked world.

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It didn't happen in 2010, but it will in 2016.

It didn’t happen in 2010, but it will in 2016.

This Post ran on my blog almost six years ago. I was wrong about the timing, but not about the turning: because it’s about to happen this month at the Computer History Museum in Silicon Valley. More about that below the post.
_________________

The tide turned today. Mark it: 31 July 2010.

That’s when The Wall Street Journal published The Web’s Gold Mine: Your Secrets, subtitled A Journal investigation finds that one of the fastest-growing businesses on the Internet is the business of spying on consumers. First in a series. It has ten links to other sections of today’s report.

It’s pretty freaking amazing — and amazingly freaky, when you dig down to the business assumptions behind it. Here’s the gist:

The Journal conducted a comprehensive study that assesses and analyzes the broad array of cookies and other surveillance technology that companies are deploying on Internet users. It reveals that the tracking of consumers has grown both far more pervasive and far more intrusive than is realized by all but a handful of people in the vanguard of the industry.

It gets worse:

In between the Internet user and the advertiser, the Journal identified more than 100 middlemen — tracking companies, data brokers and advertising networks — competing to meet the growing demand for data on individual behavior and interests.The data on Ms. Hayes-Beaty’s film-watching habits, for instance, is being offered to advertisers on BlueKai Inc., one of the new data exchanges. “It is a sea change in the way the industry works,” says Omar Tawakol, CEO of BlueKai. “Advertisers want to buy access to people, not Web pages.” The Journal examined the 50 most popular U.S. websites, which account for about 40% of the Web pages viewed by Americans. (The Journal also tested its own site, WSJ.com.) It then analyzed the tracking files and programs these sites downloaded onto a test computer. As a group, the top 50 sites placed 3,180 tracking files in total on the Journal’s test computer. Nearly a third of these were innocuous, deployed to remember the password to a favorite site or tally most-popular articles. But over two-thirds — 2,224 — were installed by 131 companies, many of which are in the business of tracking Web users to create rich databases of consumer profiles that can be sold.

Here’s what’s delusional about all this: There is no demand for tracking by individual customers. All the demand comes from advertisers — or from companies selling to advertisers. For now.

Here is the difference between an advertiser and an ordinary company just trying to sell stuff to customers: nothing. If a better way to sell stuff comes along — especially if customers like it better than this crap the Journal is reporting on — advertising is in trouble.

Here is the difference between an active customer who wants to buy stuff and a consumer targeted by secretive tracking bullshit: everything.

Two things are going to happen here. One is that we’ll stop putting up with it. The other is that we’ll find better ways for demand and supply to meet — ways that don’t involve tracking or the guesswork called advertising.

Improving a pain in the ass doesn’t make it a kiss. The frontier here is on the demand side, not the supply side.

Advertising may pay for lots of great stuff (such as search) that we take for granted, but advertising even at its best is guesswork. It flourishes in the absence of more efficient and direct demand-supply interactions.

The idea of making advertising perfectly personal has been a holy grail of the business since Day Alpha. Now that Day Omega is approaching, thanks to creepy shit like this, the advertsing business is going to crash up against a harsh fact: “consumers” are real people, and most real people are creeped out by this stuff.

Rough impersonal guesswork is tolerable. Totally personalized guesswork is not.

Trust me, if I had exposed every possible action in my life this past week, including every word I wrote, every click I made, everything I ate and smelled and heard and looked at, the guesswork engine has not been built that can tell any seller the next thing I’ll actually want. (Even Amazon, widely regarded as the best at this stuff, sucks to some degree.)

Meanwhile I have money ready to spend on about eight things, right now, that I’d be glad to let the right sellers know, provided that information is confined to my relationship with those sellers, and that it doesn’t feed into anybody’s guesswork mill. I’m ready to share that information on exactly those conditions.

Tools to do that will be far more leveraged in the ready-to-spend economy than any guesswork system. (And we’re working on those tools.) Chris Locke put it best in Cluetrain eleven years ago. He said, if you only have time for one clue this year, this is the one to get…

Thanks to the Wall Street Journal, that dealing may finally come in 2010.

[Later…] Jeff Jarvis thinks the Journal is being silly. I love Jeff, and I agree that the Journal may be blurring some concerns, off-base on some of the tech and even a bit breathless; but I also think they’re on to something, and I’m glad they’re on it.

Most people don’t know how much they’re being followed, and I think what the Journal’s doing here really does mark a turning point.

I also think, as I said, that the deeper story is the market for advertising, which is actually threatened by absolute personalization. (The future market for real engagement, however, is enormous. But that’s a different business than advertising — and it’s no less thick with data… just data that’s voluntarily shared with trusted limits to use by others.)

[Later still…] TechCrunch had some fun throwing Eric Clemons and Danny Sullivan together. Steel Cage Debate On The Future Of Online Advertising: Danny Sullivan Vs. Eric Clemons, says the headline. Eric’s original is Why Advertising is Failing on the Internet. Danny’s reply is at that first link. As you might guess, I lean toward Eric on this one. But this post is a kind of corollary to Eric’s case, which is compressed here (at the first link again):

I stand by my earlier points:

  • Users don’t trust ads
  • Users don’t want to view ads
  • Users don’t need ads
  • Ads cannot be the sole source of funding for the internet
  • Ad revenue will diminish because of brutal competition brought on by an oversupply of inventory, and it will be replaced in many instances by micropayments and subscription payments for content.
  • There are numerous other business models that will work on the net, that will be tried, and that will succeed.

The last point, actually, seemed to be the most important. It was really the intent of the article, and the original title was “Business Models for Monetizing the Internet: Surely There Must Be Something Other Than Advertising.” This point got lost in the fury over the title of the article and in rage over the idea that online advertising might lose its importance.

My case is that advertisers themselves will tire of the guesswork business when something better comes along. Whether or not that “something better” funds Web sites and services is beside the points I am making, though it could hardly be a more important topic.

For what it’s worth, I believe that the Googles of the world are well positioned to take advantage of a new economy in which demand drives supply at least as well as supply drives demand. So, in fact, are some of those back-end data companies. (Disclosure: I currently consult one of them.)

Look at it this way…

  • What if all that collected data were yours and not just theirs?
  • What if you could improve that data voluntarily?
  • What if there were standard ways you could get that data back, and use it in your own ways?
  • What if those same companies were in the business of helping you buy stuff, and not just helping sellers target you?

Those questions are all on the table now.

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9 April 2016 — The What They Know series ran in The Wall Street Journal until 2012. Since then the tracking economy has grown into a monster that Shoshana Zuboff calls The Big Other, and Surveillance Capitalism.

The tide against surveillance began to turn with the adoption of ad blockers and tracking blockers. But, while those provide a measure of relief, they don’t fix the problem. For that we need tools that engage the publishers and advertisers of the world, in ways that work for them as well.

They might think it’s working for them today; but it’s clearly not, and this has been apparent for a long time.

In Identity and the Independent Web, published in October 2010, John Battelle said “the fact is, the choices provided to us as we navigate are increasingly driven by algorithms modeled on the service’s understanding of our identity. We know this, and we’re cool with the deal.”

In The Data Bubble II (also in October 2010) I replied,

In fact we don’t know, we’re not cool with it, and it isn’t a deal.

If we knew, The Wall Street Journal wouldn’t have a reason to clue us in at such length.

We’re cool with it only to the degree that we are uncomplaining about it — so far.

And it isn’t a “deal” because nothing was ever negotiated.

To have a deal, both parties need to come to the table with terms the other can understand and accept. For example, we could come with a term that says, Just show me ads that aren’t based on tracking me. (In other words, Just show me the kind of advertising we’ve always had in the offline world — and in the online one before the surveillance-based “interactive” kind gave brain cancer to Madison Avenue.)

And that’s how we turn the tide. This month. We’ll prepare the work on VRM Day (25 April), and then hammer it into code at IIW (26–28 April). By the end of that week we’ll post the term and the code at Customer Commons (which was designed for that purpose, on the Creative Commons model).

Having this term (which needs a name — help us think of one) is a good deal for advertisers because non-tracking based ads are not only perfectly understood and good at doing what they’ve always done, but because they are actually worth more (thank you, Don Marti) than the tracking-based kind.

It’s a good deal for high-reputation publishers, because it gets them out of a shitty business that tracks their readers to low reputation sites where placing ads is cheaper. And it lets them keep publishing ads that readers can appreciate because the ads clearly support the publication. (Bet they can charge more for the ads too, simply because they are worth more.)

It’s even good for the “interactive” advertising business because it allows the next round of terms to support advertising based on tracking that the reader actually welcomes. If there is such a thing, however, it needs to be on terms the reader asserts, and not on labor-intensive industry-run opt-out systems such as Ad Choices.

If you have a stake in these outcomes, come to VRM Day and IIW and help us make it happen. VRM Day is free, and IIW is very cheap compared to most other conferences. It is also an unconference. That means it has no keynotes or panels. Instead it’s about getting stuff done, over three days of breakouts, all on topics chosen by you, me and anybody else who shows up.

When we’re done, the Data Bubble will start bursting for real. It won’t mean that data goes away, however. It will just mean that data gets put to better uses than the icky ones we’ve put up with for at least six years too long.

_________________

This post also appears in Medium.

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He didn't say it, but let's look at why it's wrong anyway.

He didn’t say it, but let’s look at why it’s wrong anyway.

This is an improved edit of a post I made to a list I’m on. Rather than let it scroll off to oblivion, I decided to put it here as well. The other parties are in italics. I’m in plain text.

If you work in advertising or marketing, kill yourself – Bill Hicks

Brilliant bit. Watch it here. The dude was also deep.

…or, from The Economist in 2013, a wonderful article which draws attention to research which counters the common view about search engine advertising

(which says, among other things…)

…search ads appear to solve a puzzle that has preoccupied advertisers since John Wanamaker, the 19th-century founding father of marketing, reportedly declared: “Half the money I spend on advertising is wasted; the trouble is I don’t know which half.”

Two problems with that oft-quoted one-liner. One is that Wanamaker didn’t say it. From The Intention Economy:

While this line is customarily attributed to John Wanamaker, he was neither the first nor the only source. In The Quote Verifier: Who Said What, Where, and When (New York: St. Martin’s Press, 2006), Ralph Keys writes, ‘In the United States this business truism is most often attributed to department store magnate John Wanamaker (1838–1922), in England to Lord Leverhulme (William H. Lever, founder of Lever Brothers, 1851–1925). The maxim has also been ascribed to chewing gum magnate William Wrigley, adman George Washington Hill, and adman David Ogilvy. In Confessions of an Advertising Man (1963), Ogilvy himself gave the nod to his fellow Englishman Lord Leverhulme (Lever Brothers was an Ogilvy client), adding that John Wanamaker later made the same observation. Since Wanamaker founded his first department store in 1861, when Lever was ten, this seems unlikely. Fortune magazine thought Wanamaker expressed the famous adage in 1885, but it gave no context. While researching John Wanamaker, King of Merchants (1993), biographer William Allen Zulker found the adage typed on a sheet of paper in Wanamaker’s archives, but without a name or source. Wanamaker usually wrote his own material longhand. Verdict: A maxim of obscure origins, put in famous mouths.’

The other is that it isn’t true. In terms of direct effects (what direct response marketing wants, and the Economist piece concerns itself with), 99.x% of advertising is wasted. In terms of indirect effects (which old fashioned brand advertising wants), 100% might be effective.

In “The Waste in Advertising is the Part That Works,” (Journal of Advertising Research, December, 2004, pp. 375-390.), Tim Ambler and E. Ann Hollier say brand advertising has the effect of making a company familiar, whether the audience likes it or not, and that this is a requirement for any large company selling to a large market. You may never buy a Ford F-150 truck, but you’re damn sure going to know about it if you watch football on TV (and don’t skip the ads). In other words, it doesn’t hurt to have everybody know who you are and what you sell.

In terms of signaling theory in economics (for which Michael Spence won a Nobel prize), “the firm signals the quality of its product to consumers by its willingness to spend money on advertising.” (N. Gregory Mankiw: Principles of Economics, p. 401.)

This was taken for granted in the advertising business for generations. But today it’s being forgotten because advertising is also now digital, and leading the digital craze is the four dimensional shell game called adtech, which is thick with fraud, malware and world-class rudeness — such as planting tracking beacons on your digital person to follow you around the Net and report your activities to parties unknown, all the better to plant crosshairs on your eyeballs as you go about your private business.

The biggest problem with advertising today is that something that wasn’t advertising in the first place — direct response marketing, which includes both junk mail and spam — is now called advertising, because it looks the part. You don’t know whether the GMC ad you see on Huffington Post is there for every reader or just for you (because some tracking-based targeting mechanism has put it there for you).

Lately individuals have been putting a stop to all forms of advertising, with ad and tracking blockers. According to PageFair and Adobe, the number of people blocking ads passed 200 million worldwide last June, with increase rates in the prior year of 41% worldwide, 48% in the U.S. and 82% in the U.K. If this be a boycott, it’s the biggest in human history.

Most of the whining about ad blocking has been from those directly affected: publishers and ad agencies, since ad blocking costs them exposure and therefore income. Approximately no whining is coming from actual advertisers. (Who don’t call themselves that, by the way. They call themselves retailers, car makers, brewers and bankers.) For them advertising is just a line item on the expense side of the balance sheet. They can cut it or re-deploy it in other ways. For example, they can spend on the kind of old-fashioned non-tracking-based advertising they did before direct response marketing (best known as junk mail) body-snatched Madison Avenue, making it “digital” at all costs, including the good will of advertising’s consumers, who now have a valve to shut it off. (Or just to shut off the tracking. The valves are getting better every day.)

Naturally this has caused a “war” to break out. (FWIW, I’ve been covering this for some time. Here’s a list of posts and articles. Three of the most recent are in HBR, MIT Technology Review and Linux Journal.)

This conflation of direct response marketing with old fashioned Madison Avenue brand advertising has too many of us judging the latter by the metrics of the former. Among those is the author of this Economist piece. Let’s continue…

But new research shows that the simple measures often used to assess the impact of search ads may be exaggerating their effectiveness.

Again, while search ads are called ads, they’re really direct marketing. They are data-driven, want to get personal, and are looking for a direct response. Brand advertising is also data-driven, but the data is always in aggregate form, because the targets are populations, not individuals. Brand advertising doesn’t want to get personal. That would be too expensive, might creep people out, and isn’t the idea anyway, because brand advertising isn’t looking for a direct response. All it wants is to make an impression. Not a sale.

Establishing cause and effect in offline advertising is hard. Ads are difficult to target: space on billboards and in newspapers is seen by lots of shoppers. Some of these eyeballs are worth spending money on; others, either because they belong to existing customers or to people who never will be, are not.

But the whole point of billboards is to be “the waste that works.” If you’re McDonalds (the biggest outdoor advertiser in the U.S.), you want every driver to know they serve more kinds of coffee now. If you’re Geico, you want to maintain top-of-mind consideration when people (not just you) get around to buying insurance again (something nobody does every day).

And even when big ad campaigns are followed by strong conclusion—that rising sales are the result of good budgets often rise in good times so that spending and sales grow together, even if the advertisements are useless. The ads and the sales have a common cause—strong demand—but may have no causal link.

Right. And that is not a problem if you’re McDonalds or Geico.

Internet advertising seems to offer a solution to both these problems.

Again, for brand advertising those aren’t problems.

First, internet search ads are targeted: the links that search engines show are based on a combination of the search term a user has typed in and his browsing history. Second, because firms can track whether visitors to their websites come from search-engine links they have paid for, they can work out whether ads convert into sales…

The most tendentious adtech assumption is that everybody is buying something all the time. Most of the time we are not. When I looked up the Bill Hicks videos above, I wasn’t buying anything. In fact when I look through my browsing history over the past week, I find only one shopping example, and that was the exercise in futility that led me to post my buying intentions on my blog. So far the response has been nil. Nobody wants to fix a ten-year-old subwoofer, least of all from a company that’s out of business.

Now here’s what matters about brand advertising in my one little case, and why the waste in it is the part that works: when I replace my busted subwoofer, I am far more likely to be attracted to brands I know than to be swayed by advertising targeted at me because robots that follow me suspect I’m looking for a subwoofer at this moment in time. (None do, by the way. I’m seeing no ads anywhere for subwoofers.)

Another false adtech assumption is that “big data” can “know us better than we know ourselves.” This is worse than wrong: it is delusional, and an insult to our sovereign humanity. All of us are not only different from each other, but from how we were ten minutes ago. To be fully human is to learn and change constantly. “I know this orbit of mine cannot be swept by a carpenter’s compass,” Whitman writes. “I do not trouble my spirit to vindicate itself or be understood… I was never measured, and never will be measured… The spotted hawk swoops by and accuses me. He complains of my gab and my loitering. I too am not a bit tamed. I too am untranslatable. I sound my barbaric yawp over the roofs of the world.”

No direct response advertising system, no big data algorithms, can begin to comprehend the wild, free, untamed, barbaric and untranslatable spotted hawk in each of us. But brand ads can still make us aware that Geico will save you 15% in 15 minutes.

(The next paragraph refers back to an earlier one I snipped.)

To test this problem of “activity bias”, the authors recruited volunteers online and split them into two groups. The first group watched a video promoting Yahoo, and the other group watched a political broadcast. The first group used Yahoo around three times more after seeing the ad, giving the impression it was very influential. But the control group—those subjected to a bout of politics but no Yahoo promotion—also used Yahoo a lot more. Both groups happened to be in an active period of internet use. This is why they were recruited in the first place and why they used Yahoo sense of advertising impact…

Three years ago I was invited to a Yahoo offsite in the Caribbean to give a talk to their biggest advertisers, plus a bunch of celebrities who came along for the junket. I told them the future was one of liberated individuals who would only increase their agency (the power to act with full effect in the world), and that they should place their bets on the side of those individuals, rather than only on adtech, which was all the rage at the time (and still is, although now it’s looking more like a cancer). I also pointed to the rise in ad blocking and its inevitable effect on Yahoo’s business. There was a lot of agreement, but no action. They kept investing in adtech, and we see where they are now.

Bosses should still take Wanamaker’s fear seriously: a rise in sales after an ad campaign does not automatically mean that the ads worked. But it also shows how the online world is getting closer to solving the conundrum he posed. Far from being an industry where cause and effect remain murky, online advertising may yet become one area where the dismal science can predict how to get costs down and profits up.

It would have helped this piece if the signaling corner of the dismal science were sourced as well. So I advise The Economist and others covering advertising to look for signaling in the jewel case that is Don Marti’s blog. On the subject of advertising, there’s none better.

I’ll be on a webinar this morning talking with folks about The Intention Economy and the Rise in Customer Power. That link goes to my recent post about it on the blog of Modria, the VRM company hosting the event.

It’s at 9:30am Pacific time. Read more about it and register to attend here. There it also says “As a bonus, all registered attendees will receive a free copy of Doc’s latest book, The Intention Economy: How Customers Are Taking Charge in either printed or Kindle format.”

See/hear you there/then.

 

 

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wheat+apple

[Update on 3 January 2016: Buzzfeed reports that Apple is killing iAd and getting out of that business, ending the conflict I detail below. And Apple confirms the decision, here. For a look at what I am sure is behind that, scroll down to “Sacrificing its adtech business…”.]

A couple weeks ago, I posted Separating advertising’s wheat and chaff, contrasting privacy-respecting brand advertising (the wheat) with privacy-offending tracking-based advertising (the chaff), better known in the industry as “adtech.”

Apple pushes both, through its own advertising business, called iAd. The company is also taking sides against both — especially adtech — by supporting Content Blocking in a new breed of mobile phone apps we can expect to see in iOS 9, Apple’s next mobile operating system, due next month.

In Apple’s Content Blocking is chemo for the cancer of adtech, which I posted a few days ago, I visited the likely effects of content blocking. Since then a number of readers have pointed to posts about iAd and the opt-out choices Apple provides for advertising on iPhones and iPads.

Both iAd and the opt-outs reveal that Apple is as much in the adtech business as any other company that tracks people around the Net and blasts personalized advertising at them.

Apple is clearly taking sides against adtech with its privacy policy, which has lately become more public and positioned sharply against the big tracking-based advertising companies (notably Google and Facebook). In September of last year, for example, Apple put up a new pageapple.com/privacy — that contained this paragraph:

Our business model is very straightforward: We sell great products. We don’t build a profile based on your email content or web browsing habits to sell to advertisers. We don’t “monetize” the information you store on your iPhone or in iCloud. And we don’t read your email or your messages to get information to market to you. Our software and services are designed to make our devices better. Plain and simple.

What we have here, then, is Apple’s massive B2C business in conflict with one of its B2B businesses. Since there is a lot of history here, let’s review it.

On 8 July 2010, Engadget published iAds uses iTunes history, location information to target advertising. It begins,

We’ve heard about this before, but now that it’s up and running, this is probably worth a revisit. Apple’s iAds system actually uses lots of your information, including your iTunes purchasing history, location data, and any other download or library information it can suss out about you, to determine what ads you see. So say a few marketing firms working with the large companies now buying and selling iAds.

A recent series of ads for soap was able to target “married men who are in their late 30s and have children.” That’s very specific, and when Apple rolls out the full program, it’ll even be able to use things like iBooks purchases and iTunes movie and TV downloads to target you with advertising.

On 15 October 2014, Digiday published Apple revamps mobile ads with retargeting options. It begins,

Apple’s release of its new mobile operating system last month came with an overlooked gift for marketers: the ability to retarget ads based on users’ in-app browsing behaviors.

According to ad agencies, Apple is actively pitching the new capability as a way to effectively solve the mobile cookie problem.

Say, for example, a visitor to a retailer’s iPhone app adds a pair of shoes to his cart but ultimately decide not to buy it. In this scenario, the retailer will now be able to retarget that user with an ad for that exact pair — even in another app on his iPad. When tapped, the ad would direct him back to his abandoned checkout page and automatically add the shoes to his online shopping cart.

That was when iAd was new. Since then it has come to be regarded, at least by the online press, as something of a failure. On 16 Ocbober 2014, Business Insider published Here’s Apple’s Plan To Turn Around iAd, One Of Its Biggest Flops. The gist:

Several sources have confirmed to Business Insider that Apple is currently visiting mobile specialists at the top media agencies in New York City to push the new function. (Cross-device retargeting.)

Cross-device retargeting is of most use to retailers: if a customer spends some time looking at a dress on their iPad app but decides not to buy it, that same retailer can “retarget” them with an ad displaying an image of that dress, options to buy, or directions to the store when they next pick up their iPhone.

On 19 November 2014, AdExchanger published iAd starts selling programmatically, and explains how it works:

iAd has more than 400 targeting options for advertisers. Its audience is also validated, since users must create an iTunes account in order to download apps. With the release of iOS 8, Apple announced that those Apple IDs could be used by iAds advertisers to retarget users across their devices. Those capabilities make it a good fit for advertisers doing audience-based targeting, who often prefer transacting in programmatic channels.

iAd has scale: “Apple iAd’s sell-side SDK is one of the most penetrated SDKs in the industry,” said Michael Oiknine, CEO of Apsalar. “They now have added iTunes radio inventory, so it’s a smart yield maximization strategy for Apple and is akin to Facebook strategy, which maximizes inventory sales via FBX and PMDs.”

On 21 November 2014, Venturebeat published Apple and AdRoll enable iOS ad retargeting — with extra data from iTunes and the App Store. It begins,

In a significant move for the mobile advertising industry, Apple and retargeting leader AdRoll have announced a partnership that will see AdRoll providing its retargeting and programmatic buying capability for iAd. In addition, Apple will enable advertisers to target potential customers via access to its proprietary data sets from iTunes and the app store.

On 21 November 2014, AdWeek published Get Ready for More Mobile Ads on Your iPhones as Apple Launches New iAds. The gist:

Today, Apple is unveiling partnerships with companies like AdRoll, which will flip a switch and start serving iAds through its automated marketing platforms. This turn toward programmatic mobile advertising has been in the works for at least a year. Last year, the company stopped treating iAd like a high-end marketing platform for only the top brands with the most cash.

Apple wanted to build a self-serve mobile advertising system in house, and it bought Quattro Wireless to help. Sources said that effort faltered, and Apple decided to partner with ad tech companies like AdRoll and The Rubicon Project to compete with mobile ad giants like Facebook, Google and Twitter.

AdRoll is a retargeting specialty firm that lets marketers use their own consumer data profiles to deliver ads across such platforms. And Rubicon unexpectedly leaked word earlier this week that it was partnering with Apple.

On 22 January 2015, ExchangeWire asked What will Apple’s Ad Tech Play look like? They say,

Apple’s renewed designs on the advertising business were revealed when it was announced it was to start selling its iAd inventory on a programmatic basis, with several firms including MediaMath, Rubicon Project, among others, over four years after its iAd unit was initially launched, asking advertisers for (the then audacious sum of) $1m per campaign on its iOS devices.

Since launch, Apple’s presence in the advertising business has been largely underwhelming (apart from its own spend). But the revelation it had chosen several supply-side platforms (SSP) to sell programmatic guaranteed opportunities on behalf of the 250,000-plus App Store developers indicated its renewed designs on the sector.

The announcement itself made waves, not least because of the bungled nature of the announcement,which itself raises a number of issues to debated about Apple’s influence in the ad tech sector (more on that later).

The initial announcement read: “Apple’s iAd provides 400-plus targeting options to advertisers, based on hundreds of millions of validated iTunes accounts worldwide. This rich first-party data asset makes it easy for buyers to target the specific mobile audiences of their choice.”

The move represented, for the first time, that Apple is willing to loosen control over its first-party iTunes data with advertisers expected to be willing to pay top dollar for the access.

They add,

Apple has since started to advertise for roles within its iAd business, requesting applications for UK candidates to join its iAd Marketplace Sales Organisation.

Among the skills requested are: “Apple’s customers on the various products iAd has to offer as well as how to leverage iAd’s self service buying platform, iAd Workbench.”

In addition: “Third-party tags familiarity a plus.”

What is clear, from all these pieces and many others like them, is that Apple’s adtech business is little if any different from the rest of them — meaning just as creepy and privacy-abusing — and notable as well for failing to live up to its original ambitions, which were both huge and (via Business Insider) outlined by Saint Steve himself:

At launch, Jobs set out the bold ambition that iAd would capture 50% of the mobile ad market. Apple marketed iAd as a best-in-class solution for advertisers because it owns both the hardware and operating system the ads ride on and gains valuable data when people sign up for Apple ID to register for iTunes accounts. That means it can target ads by age, gender, home address, iTunes purchases and App Store downloads.

However, it’s still somewhat behind that lofty 50% target. iAd made up just 2.5% of the mobile ad revenue booked in the US last year, according to eMarketer, behind Google which takes the lion’s share (37.7%) and Facebook (17.9%). The most recent data from IDC states Apple generated $125 million in mobile ad sales in 2012.

Apple’s total sales in FY 2012 were $125 billion, or 1000x its mobile ad sales that year. Put another way, iAd contributed 0.01% to Apple’s sales.

Meanwhile, does any Apple customer want advertising on their iPhone or iPad?

Apple knows the answer to that question, which is why Apple provides ways for you to “limit ad tracking on your iPhone, iPad, or iPod touch” and “ads based on your interests.”* (Just go to Settings > Privacy > Advertising to “Limit Ad Tracking,” and to Settings > Privacy > Location Services > System Services. to turn off “Location Based iAds.”) And soon we’ll have Content Blocking as well.

Sacrificing its adtech business would position Apple in full alignment with three things:

  1. Tim Cook’s privacy statement. It would take the loopholes out of that thing.
  2. Market demand. People are fed up with losing their privacy online — almost all of it to the tracking-based advertising business. (Sources: Pew, TRUSTe, Customer Commons, Wharton.)
  3. The moral high ground called simple human decency. Most people don’t want to be tracked in the online world any more than they want to be tracked in the physical one. Nor do they want information about them known by first parties to be sold to third parties, or to anybody, with our without their knowledge, no matter how normative that practice has become.

Dropping adtech would also be good for iAd, which could then concentrate on placing non-tracking-based brand ads, which are more valuable anyway: to brands, to publishers and to the marketplace. Also to Apple itself, because they would be selling wheat, rather than chaff.

Until then, the loopholes persist in Tim Cook’s privacy statement, and Apple retains major conflicts between its massive B2C businesses and its struggling B2B adtech business.

It will be interesting to see what the company does once the Content Blocking chemo hits the App Store bloodstream.

* “Based on your interests” (aka “interest based advertising“) is a delusional conceit by both adtech (examples here , here and here) and online retailing (prime example: Amazon). Neither visiting sites nor buying are measures of interests. All they show are actions that could mean anything — or nothing.

The interest-based advertisers say our interests are “inferred” by what we do (and they like to observe, constantly and everywhere). And yet those inferences are weakened by another assumption that is flat-out wrong, nearly all the time: that we are always in a shopping mode. In fact we are not.

We are, in fact, always in an owning mode, which is why I think that’s the real greenfield for e-commerce. If companies shifted a third of what they spend on adtech over to customer service, they would vastly increase both customer loyalty and brand value.

By the way, Apple knows this, possibly better than any other technology company. That’s one more reason why I think their B2C smarts will correct the adtech crowd-following errors of their B2B ways.

[Later…] @JamesDempsey tweets,

iOS 9 content blocking is in Safari. iAds appear in apps—not web pages: iAds not blocked.

Good to know. Apple’s iAd site doesn’t make that clear (to me, at least). What this tells me is that iAd is in the chaff business while Content Blocking encourages wheat on Safari. Doesn’t change the point of this post, or the earlier ones.

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