Price Discovery for a New App? – A Trial of the FairPay Strategy Begins

What is the right price for an entirely new application? What if customer needs are diverse and the value is not yet clear? What if functionality and features are being expanded? What if the customer base is potentially large, but you are starting small?

A Dutch firm in the construction industry is trying a transformative new way to sort that out. They have been developing a new app to enable contractors and homeowners to manage any home renovation project. Their pre-market survey of potential customers showed a wide variation in willingness to pay, and it was unclear how to segment the market. They learned of FairPay, a radically new strategy for value-based price discovery, and decided to try that for their beta test. FairPay may also prove to be attractive for them on an ongoing basis, but in any case, it offers unique power for price discovery for a new service.

FairPay has been recognized as having broad potential to change the way subscription and service relationships work, but many businesses have been waiting for proof of concept testing before they would try it. This is the first real-world trial of how FairPay can work in a scalable way.

How to price a new app?

The original thought was to price the service at €2,50 a day per active project, but there were questions of whether that price point -- and that value metric -- were right, and whether the right answer might vary by customer segment. They had acquired 350 interested leads -- 30% of the interviewed leads confirmed the price level they had in mind as reasonable, but 30% said it was expensive, and 40% said they first want to experience the power of the app before having an opinion about the value and price. It was not clear what to do.

Hugo van Schaik and Floris Meulensteen, of the RenovationApp reviewed their dilemma with a consultant, Tijs Rotmans at The Pricing Company, and he suggested they try FairPay. They contacted me for advice, since I had developed and written about the concepts of FairPay (and had offered to assist with trials).

On our first Zoom call, I was impressed that they had read my book and already had a good understanding of the strategies. It was apparent that this was a well-conceived beta test of both their RenovationApp and of FairPay and so I was happy to begin working with them. As we were speaking, they got word that their board had approved their 6-month beta test plan for the MVP version of the product, and they began to move ahead with FairPay for that.

Why FairPay?

The introduction of digital services has changed the basic assumptions of economics. The marginal cost of providing a digital content or application service to an additional customer becomes negligible, but the investment in creating, supporting, and expanding that content or application service is high. So now neither businesses nor customers have any clear sense of what the right price should be. Cost-based pricing does not work and there is not yet any competition to base a price on (whether sensibly or not). Value-based pricing is the answer, but it still takes the combined perspective of the supplier and the customer to know what that value (and thus the price) should be. People are coming to see that what is needed is a new kind of relationship-based "social contract:" the idea that the customer is not really paying for their access to the current service, but to sustain a continuing supply of content, support, and enhancements. If they are willing to pay now to fund future services, then the business is sustainable. This is already becoming clear in content and other Passion Economy businesses.

This requires transparency and trust, but that is not really cause for concern when the relationship is structured effectively. Modern behavioral economics has led to the recognition that humans have been bred for fairness and reciprocity in social relationships and that that can be harnessed in business as well. In many ways FairPay revives the norms of the traditional village market, where prices were individually worked out to address the needs of both parties in the relationship. High-end B2B services already rely on value-based pricing as best practice. FairPay offers a framework that combines old and new ways to do that at scale that works for digital relationships – for SMB and consumer services.

FairPay as a price discovery engine

In his introductory emails to me on June 18-19, Floris had put their situation this way:

A renowned Dutch price strategist reviewed our case, and he suggested to take a look at the work you have done, regarding a FairPay price strategy. We really got interested in this way of working - mostly because our app doesn’t exist yet and it seems like the best thing to do as we launch our MVP. We will welcome more customers, develop a better relationship with those customers, which will result in a longer customer lifetime and higher customer life time value. And we will be able to learn a lot during the 6 months FairPay beta period.

… we expect to have the ready product live in August. We plan to do a phased roll-out to our evangelist testers, then testers, then live connection with new facebook campaigns for new leads. After we learned during the 6 months FairPay beta period, we will adjust the product, features and pricing (price point and price strategy) accordingly. Once mature, we will roll out to the active customers base that we have in other business units of the group we work for.

…We want to use FairPay for the first couple of versions of the RenovationApp. If we see a positive change in our business case, it can be that we keep using your model for a longer period. The main goal of using FairPay is to learn more about our target group, their (online) behaviour and what buyer persona's value the app the most. We let our users try our app for one project (around 6 weeks) and after that, we will send them to a form where they can pay a fair price. If they offer an unfair price for the upcoming 2 projects, they will go back to a fixed price and get kicked out of the FairPay zone. We will keep adding features to the app for premium users that pay a higher price.

We had a very productive call on June 23 and reviewed some of their questions and I agreed to work with them informally (at no charge). We began with a review of the framing and choice architectures they are developing for the initial launch. (I also contacted my colleagues in academia with whom I co-authored journal papers on FairPay, who were pleased at this news. They are hopeful that we can consider a rigorous comparative test of FairPay versus conventional set-price models, with and without free trials, after the beta test provides initial results on what pricing metrics and levels work for which customer segments.)

The beta test began August 1, and soon after that we had another call to review initial versions of how they were presenting this to customers. I was again pleased with their approach and made some additional suggestions. Some of this can be seen in their page on pricing, which includes an FAQ (this Google translation of the original Dutch is awkward, but workable).

My expectation is that FairPay will not only be effective for initial price discovery but will also prove to be the superior strategy for the long term. If it is effective at finding what works for a diverse set of customers and contexts during the beta, why stop? Customer needs and contexts will change, and product features will evolve, so why lock in price levels when you can use FairPay to continue this adaptive discovery process? Some customer segments may not behave well, and will need to have pre-set prices imposed to prevent free-riding, but with customers who can be enticed to be supportive, FairPay can be the basis of a very effective long term partnership that builds shared value.

In any case, the attractions of FairPay for this initial discovery phase seem compelling. I look forward to assisting as it develops, and to reporting on the findings.

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To stay updated and interact with others interested in FairPay, please join the LinkedIn group, “FairPay: Adaptively Win-Win Customer Relationships.” 

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More about FairPay

A brief introduction is in Techonomy, "Information Wants to be Free; Consumers May Want to Pay"

• More in the Overview and the sidebar "How FairPay Works" (just to the right, if reading this at FairPayZone.com). 
• There is also Selected items (including links to videos and decks). 
• And these journal articles, A Novel Architecture to Monetize Digital Offerings and Pricing in Consumer Digital Markets: A Dynamic Framework. 
• Or, my highly praised book: FairPay: Adaptively Win-Win Customer Relationships.
• To stay updated and interact with others interested in FairPay, please join the LinkedIn group, “FairPay: Adaptively Win-Win Customer Relationships.”

(FairPay is an open architecture, in the public domain. My work on FairPay is pro-bono. I offer free consultation to those interested in applying FairPay, and welcome questions.)

"E-Books Are Reading You" -- How That Enables a New and Far Better Economics

"As New Services Track Habits, the E-Books Are Reading You." While some view this as creepy, it offers powerful benefits that are yet to fully emerge. Wouldn't it be good to pay for books depending on how you read them?

This recent NYTimes article by David Streitfeld highlights the instrumentation behind e-books and other digital media, and how distributors, publishers, and authors can use it to better understand their markets. People are talking about how Big Data enables "The Quantified Self" -- think of this aspect as "Quantified Media."

With the FairPay pricing model, this gains far greater potential -- and clear benefit to the reader. How much you have to pay for a book can depend on how you read it -- how much, how long, how deeply, how repetitively. That data is indicative of the value you receive from the book. Why should what you pay to read it not depend on how you read it?

Start a chapter or two and quit, and pay nothing -- just like a Kindle free sample. Skim the whole book in 15 minutes and pay little or nothing -- much like Amazon's "Look Inside." Read a novel all the way through and pay a normal price. Read it three times and pay a bit extra. Study a how-to book, highlight sections, and go back regularly over many months, and pay accordingly (but with a volume discount). Use six travel guides on four countries during a one-week cruise and pay the equivalent of buying one travel guide (a detailed example is in this older post).

Already, individual reader usage data is affecting pricing between distributors and publishers (as Streitfeld notes for book subscription offerings):

On Oyster, once a person reads more than 10 percent of the book, it is officially considered “read.” Oyster then has to pay the publisher a standard wholesale fee. With Scribd, it is more complicated. If the reader reads more than 10 percent but less than 50 percent, it counts for a tenth of a sale. Above 50 percent, it is a full sale. 

Offering a subscription service "introduces a sort of interesting business opportunity to collaborate with publishers rather than be at odds with them.”        

Distributors collaborating with publishers instead of being at odds with them? What a thought! Of course that can lead to win-win pricing models.

With FairPay, a similar win-win collaboration involves the reader as well. FairPay lets readers pay whatever they think is fair for books, based on how they read them. If the distributor agrees that is fair (including consideration of any explanations offered) their subscription or buying privileges are continued (but in any case the buyer's price is final for the current transaction). This removes the barrier of price from reading a book.  It invites anyone with an interest to try a book, and only pay to the extent that they feel they got value from it. It allows those on limited budgets to apply discounts, and business readers to be expected to pay more, having derived greater value. It also strenghtens the bond between the reader and author, where readers feel an obligation to pay to authors who give them a valuable reading experience (especially if they know a fair share goes to the author). It also strengthens the bond between the reader and a publisher/distributor who gives them the kind of e-books they value, and supports authors they value.

Such ideas of variable pricing are unfamiliar in most consumer markets, and take some getting used to, as the Times article (and some thoughtful comments) make clear. However, we can look to the proven success of "performance-based pricing," which has seen growing acceptance in B2B markets.  As outlined in a Harvard Business School article by Benson Shapiro, current performance-based pricing strategies offers win-win benefits and reduced risk, but are primarily suited to high-value B2B situations, in which complex joint pricing analysis can be done for each customer situation. FairPay takes similar performance-based "dialogs about value" and streamlines them for a consumer e-commerce setting, with a high degree of individualized automation that can work on a much more intuitive and fuzzy level.  This offers a way out of the digital pricing dilemma that has brought book publishing and other content industries (music, journalism, etc.) to the brink of disaster.  (See many related posts on this blog.)

Indie Games Generate $ Millions with Pay What You Want

For those that think there is no real money in Pay What You Want (PWYW) pricing, the growing success of the Humble Indie Bundle suggests otherwise. Their first four promotions have raised over $6.1MM,** with the last one just ending at $2.2MM [now much more**].  It has been reported that the venture behind these offers has raised $4.7MM in VC funding [now more**]. Their model includes payments to the game developers, the distributor, and charities including EFF.*

EFF has posted a nice summary, observing that "While the record labels, movie studios, and video game producers have not figured out a way to compete with free, others have...as the Humble Bundle has shown us, it is possible, with creators and distributors finding new and exciting ways to compete with free. ... when done right – developers, content providers, and even those who provide the business model can successfully compete with free." Additional details are in a Wikipedia entry.

All of this adds to my suggestion that FairPay (which augments PWYW with feedback processes that incentivise buyers to be fair to sellers, as described on the sidebar) can take this from a promotional tool to a mainstream business model for ongoing use.  Indie games and music are a great place to start, since that Long Tail content is where basic PWYW selling is already gaining traction.***

My previous post, How Indies Can Disrupt the Disruptor - A Disruptive Revenue Model for Music and Games, addresses this in more detail -- suggesting how indie distributors can take on iTunes to change the game, starting with the Long Tail, and moving toward the mainstream.

(*The charitable element is also a notable factor in the Humble Indie Bundle, at two levels. One is true charity, in the form of EFF and others. The other is a charity-like feature, in that the structure of the Humble Bundle revenue is for lightweight (and buyer controllable) contributions to the distributor, such that the significant share to the game creator ("developer"), analogous to the artist, musician, etc., provides a social-benefit motivation to pay -- rewarding the creator, and enabling further creation.  See other charity-related posts.)

Updates:-------------

**[9/21/14:  Wikipedia on Humble Indie Bundle reports this as a total of $30MM, in addition to $20 million to charity, as of 8/23/13.  CrunchBase reports funding of $9.2 million. Check there for further updates.] 

***[1/17/12:  For general insight into real uses and experiments see "Pay What You Want -- Still Crazy After All These Years?," and Wikipedia on PWYW.]

Reinventing Subscription Platforms With FairPay -- for Apple, Google, and others...

In the emerging battle of subscription platforms between the Apple iTunes App Store, Google One Pass, and others, the radically new FairPay pricing process offers a better way to play the game, one that benefits the platform provider, the seller, and the buyer in new ways.

As widely reported, Apple has the dominant position, and is using that power to pressure sellers, and claims to be making things good for buyers.  Google is seeking to be more seller-friendly, and to allow more freedom, which might ultimately be better for buyers as well. The larger issues relating to this battle promise to help shape how digital content is sold, and how a major portion of our economy evolves.

• Subscriptions are a critical battleground for competing platforms and business models, one that could set the ground-rules for monetizing digital content and services at the broadest level.  
• Subscriptions get at the heart of ongoing customer relationships, and provide an aggregation structure that works for a broad swath of content and services.
• Subscriptions relate closely to the major pricing alternatives of free and freemium.

FairPay is particularly relevant to subscription businesses, especially those based on cross-vendor subscription platforms (such as those offered by Apple and Google and others).

FairPay is based on some very simple principles, with the idea that what is needed in a revenue model, is not to choose the right price, but to create an adaptive pricing process.

1. Let the buyer set any price he considers fair after the sale (Pay What You Think Fair, post-sale).
2. Let the seller (or a collective of sellers) track that price and use that information to determine whether to make further offers to that buyer in the future.

Instead of a fixed price, this process generates a cooperative and adaptive series of pricing actions, each based on feedback on how fairly the buyer sets his prices. Using this buyer reputation enables sellers to go beyond freemium to offer adaptive hybrids of free and paid service.  FairPay can be used as a complement and enhancement to conventional fixed-price subscription pay walls: Those who pay fairly, rise above the pay wall -- those who do not, must face it. (A diagram of core steps in this process is in a previous post.)

In the context of a subscription, this process unfolds on a (more or less) month-to-month basis:

• As an alternative to the fixed pay wall, a new user can be offered a trial month of unlimited use of a basic class of service, on the basis that at the end of the month they will set a price for what they used, on a Pay What You Think Fair basis.
• The buyer will be told up-front that renewals for additional months will depend on whether the price they set is deemed fair by the seller.
• As the process continues after initial use, buyers will be asked to set their price, and could be given usage reports to remind them of what they used, and how that compares in quantity and value to typical subscribers. 
• The seller can frame the offers and the pricing requests with background on standard set prices, suggested prices, and typical FairPay prices actually set by other buyers, all with respect to the types and volumes of usage by the consumer (such as basic and premium tiers).
• Buyers can be encouraged to give reasons  for why the chose to price as they did, including low or high usage, low or high quality, low or high value realized, economic circumstances (student, unemployed, retired, business use), etc. (all or mostly multiple choice, for automated scoring).
• As long as the buyer sets prices that seem reasonable considering all these factors, the seller offers FairPay renewals, and the buyer enjoys the freedom of the FairPay Zone.  
• For those that fail to pay acceptably, it is back to the pay wall (at least for a time, possibly to be given another chance in the future).
• As this continues, each buyer establishes a FairPay Reputation that characterizes how well and fairly they pay, and whether they do so consistently or erratically.
• Based on this FairPay Reputation, the seller can upgrade or downgrade their subscription offers to include more or less premium tiers of content or service, and added perks.
• At the same time the buyer learns both the value of the service, and the expectations for fair pricing.
• As buyers establish good FairPay Reputations, the seller can extend more FairPay "credit" to include longer periods between pricing, and more value that can be enjoyed before it must be priced.

FairPay takes conventional approaches to subscription pricing and stands them on their head.

• The buyer, not the seller, sets prices (for himself, as a market segment of one). 
• The seller gates the offers to specific buyers, and thus manages the value at risk, at any given time, to each buyer.
• Pay What You Think Fair largely eliminates risks of buyer remorse.
• Price it Backward (after usage) further reduces risks of buyer remorse.
• Buyer price-setting accommodates a wide range of price sensitivities to ensure that anyone who gets reasonable value from a product/service can afford to buy it.
• Sellers need not cut off potential buyers (who may not appreciate the potential value), only buyers who have proven to not value the product (as realized) at an acceptable level. 
• The impossible task of setting a price that is "right" for all is replaced by the manageable task of understanding specific buyers and their sensitivities through a structured dialog.

Given its roots in Pay What You Want, it may take some thinking to appreciate how FairPay can not only result in acceptable prices, but actual profit maximization, and do this with needed simplicity.  Some deeper insight into this is provided in my previous post, Cutting the Gordian Knot of Price Setting: FairPay, Pay Walls, Hurdles, and Simplicity.

FairPay has even more power in the context of a cross-vendor subscription platform:

• FairPay Reputations for individual buyers can be tracked and applied across sellers.
• Sellers can maintain control of offer terms and gating, but manage this better based on a shared FairPay Reputation database.
• Sellers encountering a new buyer (to them) can see if the buyer has already developed a good or bad FairPay Reputation in relationships with other sellers, and frame their offers accordingly.
• Buyers know that their FairPay Reputation is a valuable asset, that enables them to get more and better offers, and that compromising that Reputation can have real consequences, by limiting future offers from other sellers
• The FairPay Reputation database becomes a valuable asset to the platform provider, attracting sellers, and creating a significant barrier to competitors. This can work much like a credit rating database.
• Consumer privacy can be protected by opt-in provisions, and by limiting what data individual sellers can see from other sellers (including the option of none at all other than a simple rating or go/no-go indicator).  

Of course, FairPay can be implemented by a single seller, for use just with their own subscriptions (as long as the platform does not prohibit that, as Apple seems to, but Google does not).  But the power of a common platform and a shared FairPay Reputation database greatly expand on that.

At both the marketplace platform and seller levels, FairPay creates a whole new way to achieve and manage a nearly optimal exchange of value.  FairPay thrives on:

• Ongoing buyer-seller relationships, as opposed to isolated one-purchase stands.
• Aggregation of items in subscription or other bulk purchase contexts.
• Rich dialog on product/service value (as it is realized by the buyer, and with respect to the costs incurred by the seller).
• Building a knowledge base on buyer FairPay Reputations (with full consideration to buyer needs, values, and circumstances).

FairPay processes and platform services can begin with relatively simple structures and criteria, to accommodate initial usage.  As platforms, sellers, and buyers gain experience and familiarity with how the process works, they can evolve toward increasing layers of nuance and sophistication in:

• How offers are managed and framed to users. 
• How prices are set, explained, and tracked.
• How FairPay Reputations are determined.
• Doing all of this with full consideration of all relevant factors and circumstances.

Additional background on the general concepts of FairPay, its grounding in behavioral economics, and its application in various business contexts is provided at the FairPay Web site, and in the many other postings on this blog.

An Open Letter to Radiohead and Seth Godin -- How to Make Much More Money

For those who have not noticed, Radiohead might be releasing another album soon, and Seth Godin is ditching his publisher and going direct. Both are in the vanguard of content disintermediation. This is an open letter to Radiohead and Seth...]

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I have a suggestion on how you (and others like you) can make much more money than you realize.

You both obviously know that by ditching the middleman and going straight to your public, you get a much larger piece of what you sell. And you both clearly know how to reach your public without the help of a middleman, and that you and your public are partners in a collaboration.

But what you probably don't know is how a radical new pricing process, a sort of Pay-What-You-Want (PWYW) on steroids, can significantly increase your total revenues -- and profits. Radiohead knows that PWYW can be a very effective way to reach your market, getting far more people to buy, and many of them to pay reasonably well. But both of you know that many pay nothing at all. ...PWYW is is participative, but flawed.

FairPay (Fair PWYW) is a radically new pricing process that builds on the flexibility and participation that PWYW offers to buyers, but motivates them to pay fairly. It works where there is an ongoing relationship of continuing sales, and tracks how fairly buyers pay. If they pay fairly, the seller continues to extend more FairPay offers to them. If they do not pay fairly, they lose the privilege of continuing to buy on a FairPay basis, and must pay a conventional set price for future purchases. Unlike PWYW, FairPay is a two-way dialog that creates consequences for not paying fairly.

Because of this cycle, this FairPay process may not work so well for single sales, like one album or one book, but can be very powerful for an ongoing series of sales. For example:

• Individual songs from a collection of albums, offered in series, one at a time, or in small bundles...
• Individual items from a catalog of book chapters, articles, podcasts, or videos...

The process begins with one of a few low-value items, to test how the buyer sets prices. If the prices are reasonable, a few more items are offered. As the buyer builds a reputation for pricing fairly, more FairPay credit is extended (but never so much that there is too much risk that the buyer is done and will pay nothing for a valuable bundle). So perhaps it might better be called Pay-What-You-Think-Fair, because that is the result.

I suggest FairPay can produce far more sales than any set-price offer, and far more revenue and profit than any simple PWYW offer.

• For Seth, this may be easy to apply now to the extensive library of materials you already offer, and have full rights to control.
• For Radiohead, this might work when you have at least a second album you have full rights to offer songs from.

This FairPay process can be even more effective if you can aggregate a larger collection of content that will sustain an even richer and more extended relationship with your buyers. This might be done by teaming up with other content creators who appeal to the same buyers, perhaps in a cooperative selling service. With such a deep (and preferably growing) catalog, buyers will have even more incentive to develop and maintain a reputation for paying fairly, and will generate more

offer-pricing-reputation

cycles for the feedback process to fully develop. The task of developing the FairPay e-commerce platform will be spread across more sellers, and the buyers' FairPay reputations will be shared by all of the sellers.

This could be a back-end service, so that you can keep your direct relationship with buyers, and you can sell to everyone interested in buying at a price they think fair -- and you control the offer decision process, to limit your exposure to the few buyers who pay what you do not think fair.

Much more detail is given elsewhere on this blog, and the FairPay Web site -- the FAQ is particularly recommended.

To Radiohead and Seth, I suggest you think about this. If you want to try it, I would be happy to assist.

To other content creators (including video, games, apps, software, etc.), I suggest the same. Think of this as the next step in C2C (Creator to Consumer) commerce.

To entrepreneurs and developers looking for a killer business opportunity, I suggest this is it. Again, I would be happy to help.

And to Amazon and Apple, of course you could do this too, as described in an earlier post. A FairPay Zone within your store could offer products from creators and/or publishers who agree to offer FairPay pricing, and you could facilitate the offer-pricing-reputation(-offer...) cycle.

The FairPaynomics of Abundance -- an iPad Travel Guides Example

Travel guides on smartphones and tablets (like iPad) present an nice example of some of the richly flexible kinds of pricing behaviors that become feasible with FairPay, the radically adaptive pricing process. I call this FairPaynomics because of the interesting business and behavioral economics issues it creates. One aspect of FairPaynomics is how FairPay can enable nearly unlimited access to content from varied sources, while giving the providers of that content reasonable compensation for the value they provide. The following example suggests the sophistication that advanced uses of FairPay can provide.

A recent article on travel guides for iPads triggered some thoughts on how app stores and e-book vendors could provide new services for buyers, and expand revenues for guide publishers. It points out how guide pricing is a challenge, and how the market is changing from print to mobile. It also noted some limited moves toward slicing and dicing guide content with PDF chapters.

FairPay puts much of the pricing process in the hands of users, and develops a FairPay reputation to select for those who generally pay at fair levels and can be trusted to use discretion in setting prices based on the value received--after trying the product. (A brief explanation is on the sidebar to the right, and fuller explanations are on the FairPay site.)

The challenge in pricing travel guides is that different readers get very different levels of value, so set prices may be too high for some potential users and too low for others. What if I could have access to many guides, and pay based on the use I made of them? It is impractical for sellers to set prices on such a flexible basis, but relatively easy for me to do so (on an intuitive basis, aided with reference to detailed usage data).

Consider the range of situations for using a guide. On some trips I might spend a week or two in one large city, acting as my own guide, and want to make extensive use of one, two, or more guide books to plan excursions, consult while sightseeing, select hotels and restaurants, etc. On a return trip to the same city some years later, I might not need nearly as much help. On a far-away small-ship cruise, I might stay a few days in two terminus cities, plus have day stops in half a dozen small towns in as many as five or six countries along the way (some with guided tours, some on my own). On that cruise trip I might want limited use of one or two guides for each of the countries visited, even though some small ports might have little or no coverage.

Paying a set price for each guide as usually packaged creates significant dis-economies. For my multi-country cruise, buying even a single set of guides to all cities/countries visited is a poor value proposition (well over $100), so I might not buy any. For the single-city first visit, paying maybe $10-40 for one or two guides is reasonable, even a bargain. I probably end up paying less than I would be willing to pay in both extremes. I might be willing to pay more than the set price of the guides for intensive use, and I would pay something more than zero for light use of many guides. Under conventional pricing, I suffer and the publisher(s) suffer.

So how is FaiPay better? Obviously it would be difficult for a publisher or even a full-service bookseller like Amazon or B&N to set multi-factor prices that worked for such extremes of usage. The beauty of FairPay is that they don't have to -- I would set the price. Knowing the list price of guidebooks, I might feel that I am willing to spend $20-40 per week, if I am using my guide(s) heavily, and less if not. I might go higher if covering a lot of cities, and lower if just in one place, and higher if the places are covered in depth, less for small towns with little or no coverage. If I used multiple guides, I would want to divide my payment based on which I used most and which were most valuable (such as tipping me off to good "finds").

How can this work? I would not mind if the sellers had meters that recorded my usage, but I would be put off by knowing that there are set charges per page or minute of viewing, with a meter going ka-ching. I would be OK with such metrics of usage as suggestive of what I should pay, but not as a ticking meter of set charges. With FairPay, I could have it my way.

Amazon or B&N (or Apple or Sony, or whoever) could administer the store, collect the metered usage data, and let me pay as I see fit. As long as I paid at reasonable levels (considering my usage), they would continue to let me get more guides (for my next trips) on a FairPay basis. If I did not pay well, they would cut me off and it would be back to the old way. For my return trip to the big city, they might offer use of an updated guide, and expect only modest payment, resulting in another win for both me and the sellers.

Good for me, some work for Amazon or whoever, but do-able -- but is it good for the publishers? Overall, they might do much better. I would have only bought one or two guides conventionally, for $10-40, so under my FairPay allocation, I might pay $20-40 to those one or two publishers, and so the second might have a sale he would not have gotten. But I would have used other guides in those places as well, and paid something to those publishers, as well. I also would have used guides at various cities on the cruise trip, and paid for the moderate level of usage that was foregone because I did not want to buy guides I would use only lightly (maybe paying $20-30 for those as well). Also, I would feel much better about being able to use and pay for guides accessed my way, not the way the publisher pre-packages them into "titles"that don't fit me, and so would be willing to pay at higher levels. The publisher and the store would get more from me, and I would be much happier about the fairness of the value exchange.

Such FairPay offers might be structured as packages for specific trips, with pricing set by the user soon after the trip. Frequent travelers would place high value on the flexibility this offers, and be careful to pay at good rates to retain the privilege of doing the same for future trips. Occasional travelers, and those on tight budgets might pay at lower rates, but without Fairpay, they might otherwise not buy guides at all. (To prevent low-paying buyers from hopping from seller to seller, the sellers might share their reputation data, just as they do with their credit rating data.)

The bottom line nearly ideal Internet economics. I get access to all the guides I feel I have use for (exploiting their near-zero marginal cost), and pay based on how I use them (based mostly on my intuitive allocation of value, grounded in the reality of usage data). The publisher can sell to anyone who has use for the product, and get revenue commensurate with that use. Doing that with conventional pricing models would be impractical, and the ka-ching of a ticking usage meter would put a damper on the kind of casual use that, with FairPay, might result in added revenue (after the fact, when the value was known). This may sound utopian, but the Internet enables many utopian capabilities. Think about it. It can work.

FairPay for the App Store -- A Radical Pricing Process for Higher Revenue

FairPay, a radically new spin on Pay What You Want pricing (PWYW), could transform pricing for apps. It offers a way to let developers break through the "penny gap" to get a fair price, while giving buyers a high degree of freedom to set their own price.

Apps are becoming a huge business, but the vast majority of them are free. (A recent analysis suggests 81% of iPhone app downloads by volume are free, even though other reports indicate that only about 28% are free by title. This effect has been described as the "penny-gap" -- products go like hotcakes when the price is zero, but demand drops hugely when the price increases to just 1 cent. This makes price setting a major dilemma for app developers. (One attempt to solve this software pricing dilemma was "shareware," in which buyers could Pay-If-You-Want, at a suggested price, but that has proven only marginally successful.)

FairPay can provide a way to bridge this penny gap, using a radically new variation on Pay What You Want, one that still limits buyer risk, but strongly encourages fair prices to sellers. As described elsewhere on this blog, and on the Web, this new variation, FairPay (short for Fair Pay What You Want), uses Internet feedback on what buyers pay, in order to develop a reputation for fairness. The seller (or multiple sellers) then use this FairPay reputation feedback to decide whether to extend further offers to a user based on how fairly he pays. Thus FairPay does not just rely on innate buyer fairness, but looks over their shoulder to help give that sense of fairness real teeth.

(This process also applies to other digital content, as explained elsewhere. The case of e-Books is especially similar to this example of apps. That should be fairly apparent, but I expect to do a blog post more specific to e-books in the near future.)

This process works best with an ongoing buyer-seller relationship, so in the context of an app store, FairPay would be best implemented by the store operator (Apple or Google, or whoever). That way the FairPay reputation feedback is collected across all purchases by that buyer. This enables a dynamically adaptive cycle of offers, prices, feedback, and further offers that rewards those who pay fairly, and cuts off those who do not. I suggest that app store operators should try this (and I would be happy to assist in such an effort).

Such a FairPay pricing process for an app store can be quite simple.

• The store offers to let buyers try a small number of FairPay-eligible apps on a FairPay basis, with the understanding that the buyer can try the apps for a time, see if they like them, and then set whatever price they consider fair (post-sale PWYW).
• The full FairPay process would be explained in detail up front, so buyers understand that future offers will depend on what reputation they develop for paying fairly. Their alternative will be to pay pre-set prices for future app purchases. A suggested price for each app might be provided for guidance.
• The buyer tries the apps, then sets prices, and can indicate why they paid what they did. For example a buyer might explain that they were disappointed in a product, if that is why they decided to pay little or nothing for it. (Of course they can also say the love it, and elect to pay especially well.)
• The store then assesses the prices paid, and the reasons, and decides whether to offer that buyer more items on the same FairPay basis. Criteria might include consideration of app-specific suggested prices set by the developer, and the prices set by other FairPay buyers.
• Obviously those who pay well will get a continuing stream of further FairPay offers (as long as they continue to pay reasonably well). Those who pay well for some, and explain why not for others, might also get a few further offers (effectively on a probationary basis), until it is determined by the store that they either do or do not pay fairly in general.
• Those judged by the store to generally not pay at an acceptable level can be cut off from further FairPay offers, and restricted to conventional, set-price prepaid sales (at least for some time, possibly extending a second chance to try FairPay sometime in the future).
• The cycle continues, based on these evolving FairPay reputations. The longer this process runs, the more meaningful the FairPay fairness reputations of the buyers, and the better able the store and developers are to manage revenue and risk, by controlling what offers are made to which buyers.

Presumably the store would implement and manage this process as a platform service, enabling developers to opt in to offer their apps on FairPay terms, typically in combination with the alternative of conventional pre-set prices. Developers might set suggested target prices and other evaluation parameters, and could change those parameters or opt-out, depending on results.

The result is that FairPay can be a win-win solution for both the developers/stores and for the consumers:

• Buyers will feel more respected and empowered by the added trust and flexibility.
• Some will pay less than the standard going rate, but some will pay more.
• Many who might not make a conventional paid purchase (because of the penny gap) might be willing to pay something reasonable for a FairPay purchase, once they can see that they have gotten a useful app -- the penny gap is smoothed over, and the developer and store get more revenue.
• Developers need not feel they must make their apps free in order to attract buyers (since FairPay gives a try-before-you-set-the-price option).
• The store can (with inputs from the developers) individually and dynamically tune the details of the offers and the process to encourage good payment levels, and to send free-riders back into the hard "pay wall" of the conventional pre-set price.