As we wait for class to start, please sign in for today’s attendance tracking: Text to 37607: TIMES6 netID or • Go online to AEM 4160 class website • Click on “attendance tracking” – in green font • Submit your netID Lecture 9: Tacit Collusion; Pricing Information Goods AEM 4160: Strategic Pricing Prof. Jura Liaukonyte 2 Lecture Plan: Tacit Collusion Facilitating Practices: Pricing Information Goods Price Matching Cost structure Network Externalities Information Laws Long Tail Required reading for next class: HBS case “Freemium Pricing at Dropbox” HW2 Price Matching Guarantees Price matching guarantees Helps a firm to protect its consumers and charge a high price. It makes your competitor “soft.” Takes away the benefit for your competitor to undercut your price. Counter-Intuitive? Price matching guarantee is simply a mechanism for tacit collusion or competition reduction between firms. Any offer of the price matching guarantee means effectively taking away any gains that its competitor might get from cutting price. If a firm offers a price matching guarantee, then a search consumer will buy from it because the consumer knows that in the event that there is a lower price offered in the market the consumer is insured that it will match that price. Since price matching takes away the gain from price cutting, no firm cuts price and price competition is reduced. Example Two firms: Firm 1 and Firm 2 Two prices: low ($4) or high ($5 ) 3000 captive consumers per firm 4000 floating go to firm with lowest price Payoffs = revenue Firm 2 Firm 1 Low High Low , , High , , Example Two firms: Firm 1 and Firm 2 Two prices: low ($4) or high ($5 ) 3000 captive consumers per firm 4000 floating go to firm with lowest price Payoffs in thousands of $ (revenue) Both low = 5000*4 = $20K Both high = 5000*5 = $25K One high = 3000*5=$15K Another low = 7000*4=$28K Firm 1 Low High Firm 2 Low 20,20 15,28 High 28,15 25,25 Contracting with Customers The game is a prisoner’s dilemma Both firms prefer: {High, High} Only equilibrium: {Low , Low} Cannot credibly promise to play High Even if committed to High, other firm would still respond with Low How to resolve this? Third party contracts with customers – e.g. price matching guarantee Price Matching If one firm charges low, it does not gain any additional customers, since the competitor “automatically” matches it. What is the effect on the game? Price Matching Firm 2 Firm 1 Low Low 20 , 20 High 28 , 15 High 15 , 28 25 , 25 Firm 2 Firm 1 Low High Low 20 , 20 20 , 20 High 20 , 20 25 , 25 Price Matching Literature focusing on price-matching guarantee typically finds that it supports higher equilibrium prices and profits. Intuition: This is because when all firms are committed to match the lowest price, no firm has incentive to undercut others In practice, if you read fine print, there are quite a few restrictions: price-matching generally applies to products that are homogeneous across stores Firms often match lower prices of only some competitors, typically their close competitors. Pricing Information Goods 1 2 The Information Economy Information: Essentially, anything that can be digitized—encoded as a stream of bits—is information. E.g. books, databases, magazines, movies, music and web pages are all information goods. Cost of Producing Information: Information is costly to produce but cheap to reproduce. Properties of Information goods 1. 2. 3. 4. Unique cost structure Properties of experience goods Properties of public goods Network effects and externalities 1. Unique Cost Structure Information goods have high fixed costs of production but near-zero or zero marginal costs. Developmental costs of producing the first unit of an information product are generally high, but producing each additional unit costs virtually nothing. the estimated costs of developing the popular computer game Gran Turismo 5 were around $80 million (DigitalBattle, 2010); the costs of replicating additional copy range from negligible (production of DVDs) to essentially zero (downloadable files). 1. Unique Cost Structure Cost of storing and transmitting stored information is cheap (and continues to get cheaper) there are no effective capacity constraints on the production of digital goods. Traditional Product Fixed and Variable Costs AC P AVC Total Fixed AFC Total Fixed q1 Q Typical Digital Product Fixed and Variable Costs P AC AFC q1 AVC Q 1. Unique Cost Structure: Implications Declining average costs imply significant economies of scale. Minimum efficient scale can be on the order of the whole market We should not expect to see highly competitive market structures Natural monopolies may arise 1. Unique Cost Structure: Implications What market structures should we expect to see? Markets with a dominant firm Microsoft, Facebook Differentiated Product Markets Commoditized information markets Digital goods selling at marginal cost Free information products (maps, telephone information, email addresses, news, stock price quotes, etc.) Freemium pricing 2. Properties of Experience Goods Certain characteristics of a product or service cannot be observed or verified prior to consumption, but these characteristics can be ascertained upon consumption. Problem: Consumers cannot determine their willingness to pay Recommendations, reviews, try-before-purchase, reputation or word of mouth become important. 3. Properties of Public Goods Non-rival goods: one person’s consumption doesn’t diminish the amount available to other people Non-excludable goods: one person cannot exclude another person from consuming the product. Non-Rivalrly This has issues for sellers of information goods Traditional price competition is based on scarcity If there are a limited number of widgets, people who want widgets more will pay more for them. Luxury cars, houses, stock If there is no limit to the number of widgets available, no one will want to pay more than the lowest price. 3. Properties of Public Goods While the non-rival property is inherent to digital goods, the non-excludable one is the question of technology or strategy: 3. Properties of Public Goods While the non-rival property is inherent to digital goods, the non-excludable one is the question of technology or strategy: Bundling a good with an excludable good (physical means), DRM - digital rights management (IT means) Encryption and licensing Intellectual property law (legal means), can be used to modify the property. Auditing and user tracking 3. Properties of Public Goods While there are ways to limit non-excludability, the pertinent question is: Is sharing of information goods or piracy are actually always damaging to the revenue of the digital goods producer? Embrace copying Embrace copying and bundle with content that benefits from wide distribution (e.g. ads) E.g., Network TV, YouTube, Free Apps Directly connected with the next property of information goods: network externalities. 4. Network effects and externalities Many digital products increase in value with wider distribution, as the network of users increases. Positive network effects and externalities explain a wide range of empirical regularities common to digital goods: high quality digital goods are released for free to increase platform penetration and value of the platform for third-party advertisers (e.g., Google search engine), high incidence of technological tie-ins and pricing of one component at a loss (e.g., digital e-readers and content libraries specific to those e-readers). Hardware vs. Content Amazon and Google sell their hardware (Kindle and Nexus tablets) "at cost", Some analysts say that it can even be below cost The point is: hardware is a discounted tying product with profit coming from sales of online content. Increasing Platform Penetration High definition optical disc format war: Between Blu-ray Disc and HD DVD (2006-2008) Why a war? Why not coexist peacefully? Other format wars? Laws of the Information Age Moore’s Law Metcalfe’s Law Power Law 1. Moore’s Law In 1965 Gordon Moore observed an exponential growth in the number of transistors per integrated circuit and predicted that this trend would continue What it means to us today—computing power doubles about every 18 to 24 months It is also common to cite Moore's Law to refer to the rapidly continuing advance in computing power per unit cost, because increase in transistor count is also a rough measure of computer processing power 1. Moore’s Law Information Capacity Constraints (or lack thereof) 2015: 15 GB free space Future: trend towards unlimited space (Remember“Your mailbox is full”? What was that about?) 2. Metcalfe's Law: Metcalfe's Law: attributed to Robert Metcalfe, originator of Ethernet and founder of 3COM: The value of a network is proportional to the square of the number of nodes; So, as a network grows, the value of being connected to it grows exponentially, while the cost per user remains the same or even reduces. 2. Metcalf’s Law 400 350 Value of network 300 250 Individual network value Community network value 200 150 100 50 0 1 2 3 4 5 6 7 8 9 10 11 12 Size of network 13 14 15 16 17 18 19 20 37 The Network Effect The usefulness of information products is often dependent on the number of other users of that technology. For example, e-mail is quite useless if there are only a few others that use e-mail. 38 2. Metcalfe’s Law According to Metcalfe’s Law, if there are n users of a technology, then the usefulness of that technology is proportional to the number of other users of that technology (n-1 in this case). The total value of the network of the technology is therefore proportional to the usefulness to all users, which is: n(n-1) = n2 – n. 39 2. Metcalfe’s Law If n is large, as it will be for most information products, then n will be small relative to n2 and Metcalfe’s Law becomes: The total value of the network of a technology is proportional to n2 40 2. Metcalfe’s Law The more users of a technology there are, the more useful it becomes. Examples: Facebook, E-mail MS Windows/MS Office 41 2. Metcalfe’s Law: Critique Facebook’s IPO and valuation of a lot of tech companies is rationalized based on some variant of Metcalfe’s law of network effects However recent research suggests that it produces over-valuation The real value is closer to Zipf’s law: N*log N linguist George Zipf: in any system of resources, there exists declining value for each subsequent item. 3. Power Law On the Web a few pages have a huge number of other pages linking to them, and a very large number of pages have only a few pages linking to them. In short, the Web has many small elements, and few large ones. Power Law 1000 1200 900 1000 800 700 Relative popularity 800 600 500 600 400 400 300 200 200 100 0 0 1 50 Relative popularity Search referrals Page views The Long Tail The internet vs. brick-and-mortar Nearly unlimited capacity Distribution and shelving costs approaching zero Global distribution channels A changing economy Popularity no longer has a monopoly on profitability Can generate significant revenues by selling small number of millions of niche products vs. selling millions of a small number of “hits” The Long Tail Wal-Mart vs. Rhapsody Wal-Mart 39,000 songs on CDs in average store Must sell at least 100,000 copies of a CD to cover its retail overhead and make a sufficient profit Less than 1 percent of CDs sell that much Therefore, can carry only “hits” Itunes/Rhapsody/Spotify Millions of songs in archives Cost of storing one more song is essentially zero More streams each month beyond its top 10,000 than in the top 10,000 Therefore, no economic reason not to carry almost everything Long Tail: Good News for Consumers Brynjolfsson, Hu, and Smith (2003): consumer surplus is 10x higher from access to increased product variety vs. access to lower prices in online stores Consumers as individuals Satisfaction of very narrow interests Mass customization as an alternative to mass-market fare Long Tail Examples: Travel Netflix Long Tail Case: Freemium Pricing at Dropbox AEM 4160: Strategic Pricing Prof. Jura Liaukonyte Freemium Pricing Model Concept Importance of Referral Offer limited access to a company’s service for free Increasing the number of consumers is key for business success Charge for anything above Free upgrades for referral increase the network size and revenue Industries using Freemium Apple’s App store – 2013: 77% of top 100 grossing Apps LinkedIn – 0.8% of users Evernote – 1% of users Spotify – 20% of users Industry Overview Global Market Value in 2011: $ 4bn Expected Value in 2018: $ 46bn What are value drivers in the industry? What drives the price in the industry? Direct Competitors Provider Price (per year per GB) Platform Microsoft SkyDrive $2 Apple iCloud $2 Google Google Drive $1.2 Amazon Simple Storage $.095 Actual Usage Others 17% Apple 33% Google Drive 12% Amazon 18% Dropbox 20% DropBox Overview Founded by Drew Houston and Arash Ferdowsi in 2007 Provides remote storage and file sharing, accessible online or as folder on your computer Total number of users: 200 million – 1.6 – 4 percent actually generate revenue The company targets both, private consumers and corporations Freemium Referral 500 MB storage for both sender and receiver Maximum of 16 GB Additional 2.8 million Referrals, which is a referral rate of 70 percent 12 percent conversion rate * *(individuals who install dropbox/individuals who click on the invitation link) Approach Problem 1. The cloud storage market was fragmented with small competitors 2. Bureaucracy prevented business customers from purchasing cloud storage 3. Consumers were not willing to pay for the service, as they have not adapted to the product at that time Approach 1. Faster file backup and retrieval service – Combination between users’ own storage and remote storage (i.e. dropbox folder) 2. Focus on individual consumers to avoid business bureaucracy 3. Freemium Pricing Result 200 million users by November 2013 Valued at $ 4bn in 2013 After capturing individual consumers, focus on corporate customers Market to Corporate Customers Corporate Price $800 per year for five users +$125 for each additional user Consumer Share (%) 100 90 Unlimited storage Administrative controls to manage documents Product Single-Sign-On option 14-day free trial period 80 70 60 50 40 30 20 10 0 Business Users all Paid Impact 40% of 400 million revenue 96-98 % use product for free Consumer Business Paid Consumer Business Unpaid