Category Archives: business modeling

Income Redistribution

Steve Jobs makes an argument I’d not seen before about the structure of the music industry. He argues that the industry’s architecture shifts money down the power-law curve. In effect a few a-list performers make most of the money but the industry has happened on a way to see that the money flows down into the b-list. It does this by signing up lots of b-list acts early in their carriers and then funding that expense from the few that make it into the a-list.

Here’s what he says:

After talking to a lot of people, this is my conclusion: A young artist gets signed, and he or she gets a big advance — a million dollars, or more. And the theory is that the record company will earn back that advance when the artist is successful.

Except that even though they’re really good at picking, only one or two out of the ten that they pick is successful. And so most of the artists never earn back that advance — so the record companies are out that money. Well, who pays for the ones that are the losers?

The winners pay. The winners pay for the losers, and the winners are not seeing rewards commensurate with their success. And they get upset.

From a God like point of view this might be very healthy for the industry. An architecture that starves out all your b-list performers isn’t likely to generate a deep pool of talent that occasionally bubbles up an a-list winner. It’s an entirely reasonable deal that’s offered to the b-list players; we make you reasonably wealthy but in the unlikely scenario that you make it into the a-list your going to help fund all your b-list peers.

Notice that Jobs doesn’t say the industry is screwing the performers. He only says that the ones that make it into the a-list often feel that maybe they shouldn’t have taken the deal. He doesn’t say that the industry is stealing the cash the a-list is making; only that they are shifting it down to the b-list.

Wealth redistribution is one of the standard ways that you can temper the power-law curve. There are good reasons to want that. Starving the pool of talent isn’t a very good long term plan. The architecture Job’s outlines is good for the performers; lowering their life time risk and raising their chances of working in the profession of their choice and it’s good for the industry because it creates a more reliable pool of talent to draw upon.

This is the same framework you find inside companies with their ornate job classifications. In any give time frame some high achievers subsidize the salaries of the low achievers in that time frame. Since high achieving is such a crap shoot of variables the structure tends to compensate for the randomness. It spreads risk for both the employer and for the employees.

This is the same framework that union contracts strive to achieve. A degree of tempering the risk in the out years by spreading the wealth across the union members and turning down the capacious nature of the market.

There is a lot of enthusiasm these days for shifting risk out of social structures and onto individuals. There are reasons not to do that. Reasons that everybody involved might well sign onto. I see lots of benefit in societies with a less severe wealth distribution. I find it sobering how fast we are tearing down these structures.

Jobs’ model implies that the a-list performers are bitter about the deal they made. In the context of the music industry they have limited legal options for renegotiating that deal. What’s a pain in the neck about modern politics is that the a-list can renegotiating the terms of the social contract buying enough senators. In the short term this makes the a-list richer, in the long term it starves out the long tail. That’s not good.

Connectors

The computer in my lap has 12 connectors on it and supports two wireless protocols. In other news General Motors is considering the possibility of putting an audio input on the radio of some future model. They released a photo! How can that possibly be news worthy?

When you make something – a computer, a car, a website, a communication’s network, intellectual property rights scheme – one of your design choices is leaving some open connectors. Leaving open some options for other the customers to fool around with. What guides a designer, a business architect, in making those choices? Why do car makers tend to horde these options while PC makers tend to bleed open interfaces?

One driver for hoarding is value pricing; a few options (leather seats) are valued very highly by a small number of customers. If you left your car open to customization then 3rd parties could undercut you and selling the high margin options. For the car maker the after market is a competitor; and unlike the software business they lack network effects to lock-in their customers.

One driver for open designs is innovation; a highly open architecture allows the vendor to sample the long tail of creatives. Innovations the pop out of that space will often change the game. If you get in early and their network effects you get to grab elite positions on the power-law distributions that emerge. That leaves your competitors bewildered. The car market has a reasonably vibrant after market. Where in the software world we call them hackers in the car world they call them tuners. They do innovate, and the majors do capture those innovations. But it’s not at the scale you see in the PC world.

Presumably the idea that GM would provide an audio connector is news because people have so totally accepted that car makers horde most of the options. In that world, even this tiny bit of giving away is news worthy. Those who want access to the machine’s data bus will have to wait.

Makes me wonder if there is a disruptive move in the car business. Somebody gives up the hoarding and builds a business around empowering the after market. Something an emerging nation’s car maker might do.

Design Patterns for Intermediaries

Between producers and consumers you need to insert some sort of exchange, a trusted intermediary. I’ve always liked the way that people draw this as a cloud. It suggests angels are at work, or possibly that if you look closely things will only get blurry and your glasses will get wet. Even without getting your self wet things aren’t clear even from the outside. For example what do we mean by trust? Does it mean low-latency, reliability, robust governance, low barriers to entry, competitive markets, minimal concentration of power – who knows?

There are some leading design patterns for working on these problems. Sometimes the cloud condenses into a single hub. For example one technique is to introduce a central hub, or a monopoly. The US Postal system, the Federal Reserve’s check clearing houses, AT&T’s long distance business are old examples of that. Of course none of those were ever absolute monopolies; you could always find examples of some amount of exchange that took place by going around the hub – if you want to split hairs. Google in ‘findablity’, eBay in auctions, Amazon in the online book business are more modern examples.

In the blog update notification space the hub originally was weblogs.com, but for a number of reasons it didn’t retain that role. Today the cloud’s structure is kind of lumpy. There are lumps on the producer side and the consumer side. On the producing side all the majors have aggregated a supply of pings; for example Typepad presumably has a huge supply of pings, WordPress comes out of the box pinging Ping-o-matic. On the consuming side big players aggregate pings as well, some of these are evolving toward or are explicitly in the role of intermediaries. The blog search sites are a good example (Pubsub, Feedster, Technorati). They all labor to discover fresh content. The trends seems to be toward condensation. Industries in this situation often, given time, create some sort of federated approach.

Federated approachs are clearly more social than hubs. In markets where the participants are naturally noncompetitive they can be quite social. For example when national phone companies federate to exchange traffic, or small banks federate to clear checks or credit card payments. That can change over time, of course. The nice feature of a federated architecture is that it helps create clarity about where the rules of the game are being blocked out. How and who rules the cloud is part of the mystery of trust.

There is a third school of design for the cloud, what might be called “look mom no hands” or maybe technology magic. The first time I encountered that one was the routing algorithms for the Arpanet; but that’s another story. These techniques go by various names; just to pick a few P2P, distributed hashing, multicast. The general idea for these is that the N participants all install a clever lump of code; these clever bits then collaborate (using elegant ideas) and a routing network emerges that makes the problem go away.

The magic based solutions have great stories or illustrations to go with them. For example the early Arpanet architecture had each node in the net act advertise it’s service to it’s neighbors who would then shop for the best route – boy did that not work! I worked on on three multiprocessors in the 1970s that had varing designs for how to route data between CPU and memory. One of these, the Butterfly, had a switched who’s topology was based on the Fast Fourier Transform.


Recently I’ve been reading some papers about a system that uses what you might call fountain routing. All the nodes are arranged as peers around a circle. Packets bounce thru a few nodes to get where they are going. Each node has a few paths to distant parts of the circle and more paths to it’s neighbors. The illustration shows one node’s routes. A packet entering at that node would get thrown toward a node closer to it’s destination that node will have more routes to even closer nodes.

The monopoly/hub designs are social only to the extent that a monarchy a social structure. The federated designs are social in the manner of a town meeting or the roman senate. The technical magic solutions are social in the sense the sense that they take as a given that everybody will sign up to the same standard social contract. Each of these social architectures has it’s blind spots. For example the federated design can easily lock out small players because they can’t get a seat at the table. Magic technical solutions seem to break down when the traffic patterns stop behaving what ever their designers presumed. E.g. as the blogging example demonstrates the real world is rarely high trusting, random, uniform, collaborative, and peer to peer.

Charging the Customer

My bank as recently decided they will charge an annual fee for the overdraft protection feature on my checking account. In the current low interest climate it’s been very very hard for banks to make a profit on their deposits sufficient to cover their costs. That has forced them into the uncomfortable position of having to raise fees. Their marketing departments have been very clever, and I don’t mean that in a nice way, about finding means to do that while avoiding being straight forward about it.

So it was with some interest that I read that the credit card industry captured an 18% increase in fees last year. You’d think that an industry that is, oh, 10 thousand years old and right in the sweet spot of our productivity improvements wouldn’t be growing like that. But what with deregulation it looks like usury is making quite the come back.

There is kind of a stack of points in the relationship with a customer where a firm spends and makes money. Looks something like this:

  • Exceptional events, like an overdraft.
  • Typcial transactions, deposits, check cashing, etc.
  • Account Maintainance
  • Account Setup or “Provisioning”
  • Customer Acquisition, aka sales.
  • Market Development

The firm can play lots of games with were in this stack it make v.s. spends money.

Some of the games played here are really obnoxious. I keep getting letters from one of my credit card companies that offers me %1.9 percent on balance transfers, but deep in the fine print it says that if I ever have an exceptional event the interest rate then goes to 29.8%. Included in the suite of exceptional events is any late payment.

It’s an interesting counter point to the discriminatory pricing games. There the seller would like to get a better model of your willingness to pay. In these pricing games the seller wants to create a haze of obscure pricing structure which makes it impossible for you to perceive what the price really is. Privacy is a two way street in all the negotiations.

One weird side effect of all this is that as the firms have begun to play this game better they have started to play a particular game that somebody who’s time is worthless can play to their benefit. The firm works to make a profit over all N layers in that stack. It is often willing to forgo revenue in the lower layers that it believes it will make up in the upper ones.

For example the cell phone companies bribe you to sign up, with a free phone for example, and then make the money back on the monthly fees and “exceptional” transactions. They also lock you in with n-year contracts.

If your not locked-in then your almost certainly able to benefit from being disloyal and regularly switching vendors. For example it’s very common for credit card vendors to offer short term cash back deals. 5% off all purchase for 2 months for example. Presumably if you switch cards ever few months you can maintain that cash back rate.

I wonder if they have worked out some way to damage your credit rating if you do that consistently.

Discrimination – good?

Is price discrimination a good thing or a bad thing is a topic that deserves a much more open and intelligent discussion than it typically gets. There are plenty of shades of gray in this one. It goes to the heart of the puzzle about economics v.s. the rest of the social sciences. The amateur economist assumes that the world is at it’s most beautiful when the cost of goods hew closely to the cost of production. But the world? It don’t work that way. The MBA strives to scrap the maximum price out from under the pricing curve. Taking home all, if not more, of the value the user gets from using the product. The gap between these two world models is huge. The ethical issues are tough.

Most conversation about this tends toward the absolute, which is useless if pure. Martin Geddes takes a swipe at trying to point that out, but his earlier posting about the market structure of telecom in the Caribbean islands is a more interesting entry point if you want to talk about reality.

This puzzle is deeply entangled with the identity privacy problem, because pricing is about knowing your customer. Which is why the rest of the social sciences need to be at the party. You can’t create islands of trust if trust is just another name for pricing games.

small vendors

I pushed the button on the microwave this morning and there was no breakfast in there. Breakfast was in the toaster. I feel the microwave let me down. Or possibly I’ve gotten the means confused with the end, or maybe it’s the distribution channel with the good’s distributed.

I love eBay or Google because of what they help me find. It’s easy to get confused about that. It’s not that they made those wonderful things and surely they deserve only the slightest credit for the pleasure I get from the things I find. While it’s not fair to blame this morning’s microwave for failing me it maybe fair to blame the intermediaries for similar failings.

I get a certain pleasure when I find a new rich appliance in the net that can feed me tasty things so look at some things I found recently and see if you can see the trick. Here you can buy 8-12 frogs legs. Here you can buy some sausages. You can get a thousand kinds of stamps over here. Need supplies for your revenge fantasies? Or maybe your ears are cold?

We need better ways to search, maybe the microwave wasn’t empty.

Google bet’s the company?

John Robb has been in an entirely appropriate lather about Google Toolbar modifying the pages the user is visiting without the consent of the page author. He’s been trying various approaches to verbalizing his discomfort. Today he stumbles on a real good one

I don’t think that Google clearly thought through its decision to move to Web page modification.  If they succeed in nullifying the opposition to this, they will open the floodgates to Microsoft to rerelease its version of the concept.

Through modification of the browser,  Microsoft could put this on 1,000 times the desktops Google could with its toolbar.  Opposition to the concept is the only thing that is stopping Microsoft from doing it  today. 

It gets worse.  The basis of this modification  is search-based services.  If Microsoft is able to put a basket of search-based services into every Web page  most people  view with a browser (“search in situ” vs. the site based model), Google could be in real trouble.  It could quickly turn Google into Netscape, and I am sure Bill Gates knows this.

This is a bet the company decision.

Sound about right to me. There are days I think this industry is a memory less process.

Just passing thru

When our play opens, in the 1960s, computers were housed in temples and represented a significant capital expanse for the organizations that housed them. In the 1970s the mini-computer allowed departments to play; and in the 1980s the personal computer allowed individual professionals to play. That trend made it reasonable to assume that computing was a democratizing force; something likely to drive more and more power into the hands of smaller and smaller individual units in the economy.

The data center crowd played a starting role, as villain, in the PC revolutionary’s version of the story. The PC disrupted their power. Bewildered their process, their budgets, their software, and their ability to set standards. Those of us working on the PC considered these folks to be the enemy; Luddites. In some some fairy tail versions of the story the play ends with their death. In the B movie version in the closing scene we see a guy scrapping their name off the office door; but then a few moment’s later he’s putting up a new name. That name is IT.

These IT folks have, in some organizations, regain a lot of their power over how the organization deploys it’s computing resources. The complexity of the Window’s solution and strong network effects around internal organizational tools such as calendaring and email created carrots and sticks that brought the modern in-house IT organization back to life. And then a number of enterprise software packages began to emerge that had one foot in a corporate data center an another on all the PCs of this or that class of professionals. Sales, HR, Purchasing, Document Managment, etc. etc. Many of these sport a centralized database function, which further concentrated power into the data center.

So, what is this. A cyclic process? Did we misread the story of the 60s, 70s, and 80s? Were is the power of the corporate CIO/IT organization going from here? I have an intuition, only that.

I do not believe the power is going to stop in CIO’s data center. I think it’s just passing thru. I think it’s headed up and into the net. There it will fall into the hands of a small number of players as the network effects emerge and cause condensation. Consider email, calendaring, HR, sales pipelines, etc. etc. none of these has a strong reason – beyond illusions of privacy – to remain parked in the company data center. I’ve observed at least four of sales groups at this point that run two sets of books, i.e. two sales pipelines. One in the internal system because they were required to, and another on some internet embedded service run by a 3rd party because it was simple, effective, better socialized, more “situated,” and extremely adaptive.

Pity the poor CIO/IT dudes; 30 years of fighting to get on top again and, if I’m right, it’s only a very short lived interval as the work moves up and out of the firm entirely.

empty slots, option spaces, and the cowboy myth

What percentage of the expansion slots on PCs lie empty? 90%, 98%? That’s a lot of empty real estate! Who’s paying for that and why? Think of what all that empty real estate costs to create!

Slots and connectors create a set of options for the both the buyer and the market to play with. But why create those options if they are mostly not used? First let me work thru one explanation that I don’t find sufficient.

Options that don’t get used can be extremely valuable. For example, phones are almost never used call the fire department, but the option to make that call is still exceptionally highly valued. So, part of the answer is about risk. The empty slots lower the buyers’ perception of their risk. The slots as creating the option to solve problems; problems the buyer can not even name. That suggests that slots are more signal value and use value.

I don’t think that’s a strong enough value proposition to explain all this empty real estate. So let’s take another try; this time at the market dynamics rather than the individual buyer value.

Slots create options for the entire marketplace. In a sense they create the possibility that the market repair vendor errors. The slots a sign that the vendor is humble – i.e. willing to admit he can not do it all. But humble isn’t exactly right; the vendor is also signaling that he is generous. The slots say something about the abundance of value he is creating.

When the vendor creates a slot he’s relinquishing control over some amount of value creating energy implicit in his offering. At first glance that seems like an odd move on his part. Giving away the option to create value? Certainly the rational actor would horde those options. Presumably it is not just his humble nature that triggers this giving away.

That starts to get us closer to a plausible answer to the question of who’s paying for all this empty real estate and why?

Markets are not as simple as buyer v.s. seller! Most markets have a number of complementary players. It maybe we need to look these to find out who ordered the empty slots.

If the OS or CPU vendor is powerful he might force it. Both the OS vendor and the CPU vendor prefer an open hardware bus because it encourages a more commodity market in their complements. I suspect this is the key to puzzle. Microsoft/Intel ecology has so many empty slots. Other platforms have fewer. It’s no surprise then that the Apple keeps trying out product offerings with few or no slots.

In this model those slots are paid for by the hardware vendors to create a space of options who’s exercising creates value for the dominate market players, i.e. Microsoft and Intel. The landscape of empty slots is a substrate for a generative process, a process that adds to the network effect around their business model. Of course they are both so large that their business model is the industry’s business model.

Why do Macs have slots? I suspect that’s because the market expects it. That Apple garners little benefit from the slots, and it’s users don’t get much either. But it would be interesting to see statistics about how much of the slot landscape is filled in on both ecology. Of course Apple, like Linux does, benefits from the hardware vitality created in the Microsoft/Intel ecology so it’s a small price to pay.

The underlying idea in here is that the space of empty slots is like real estate. In an economic universe that implies that it serves an economic function. Typically that means somebody owns it. Somebody is maintaining it. Somebody it taking a tax off. Somebody benefits.

In the American story the huge swaths of unowned real estate that was left behind after European plagues wiped out the native american populations provided a very different dynamic from that seen in old Europe. All that land enabled made labor extremely valuable. The combination of ample options to move on, and high wages gave labor vastly increased freedom to experiment.

The same pattern exists on the landscape of empty slots. The space of empty slots lowers the barrier to experimenting. That output of that experimentation is valuable to those who create the landscape of empty slots. I.e. Microsoft and Intel.

Notice then what happens if the percentage slots begin to be filled in. If there is anything consistent about how they get filled in; for example they all start sporting graphic’s cards – that’s not stable. The industry will absorb any consistent slot usage into the core.

So then, is the space of empty slots a long tail? I.e. is their a generative process here who’s distribution is power-law which creates the occasional elite member, (in this case we could consider the graphic accelerator card as an example of a elite member). For this generative process to work it draws upon the power-law’s long tail of activity. In this case the long tail of activity actually has negative value. Since the majority of buyers don’t use the slots they are getting no value from them. The hardware makers are including them not because of buyer demand but because the dominate players in the market want them. The dominate players in the market want them because they tap into the the value created by the generative process that all that empty real estate creates.

Of course Moore’s law and his friends are all about creating huge swaths of empty real estate. So empty slots on motherboards are just one example.