{"id":2444,"date":"2020-10-22T14:59:01","date_gmt":"2020-10-22T18:59:01","guid":{"rendered":"https:\/\/questromworld.bu.edu\/platformstrategy\/?page_id=2444"},"modified":"2022-09-12T15:23:24","modified_gmt":"2022-09-12T15:23:24","slug":"ombasimulation","status":"publish","type":"page","link":"https:\/\/questromworld.bu.edu\/platformstrategy\/ombasimulation\/","title":{"rendered":"Simulation for OMBA"},"content":{"rendered":"<div class=\"entry_content\">\n<h1>Monetization: Two-Sided Network Simulation<\/h1>\n<p><b>Optional \u2013 Demand Curves<\/b><br \/>\nHere, we describe a single independent demand curve. You should understand this in order to understand coupled demand curves for the simulation in the next section. If you have had economics, feel free to skip or skim this section.<br \/>\nA demand curve represents graphically how much consumers will buy at a given price. The lower the price, the more they will buy. But, the lower the price, the lower is the profit per unit sold. The highest profit then balances competing pressures of trying to boost sales and trying to boost price. Everything is depicted in the figure below.<br \/>\n<a href=\"https:\/\/questromworld.bu.edu\/platformstrategy\/wp-content\/uploads\/sites\/49\/2018\/09\/Picture1.png\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-2208\" src=\"https:\/\/questromworld.bu.edu\/platformstrategy\/wp-content\/uploads\/sites\/49\/2018\/09\/Picture1.png\" alt=\"\" width=\"974\" height=\"635\" srcset=\"https:\/\/questromworld.bu.edu\/platformstrategy\/wp-content\/uploads\/sites\/49\/2018\/09\/Picture1.png 974w, https:\/\/questromworld.bu.edu\/platformstrategy\/wp-content\/uploads\/sites\/49\/2018\/09\/Picture1-300x196.png 300w, https:\/\/questromworld.bu.edu\/platformstrategy\/wp-content\/uploads\/sites\/49\/2018\/09\/Picture1-768x501.png 768w, https:\/\/questromworld.bu.edu\/platformstrategy\/wp-content\/uploads\/sites\/49\/2018\/09\/Picture1-705x460.png 705w\" sizes=\"(max-width: 974px) 100vw, 974px\" \/><\/a><br \/>\nIn the simulation below, you will be able to play with all the parameters shown here. In real life, the easiest thing to change is price. Normally, a company has great difficulty changing the maximum that consumers will pay for its product unless it changes the product. And a company has great difficulty changing the maximum size of the market, unless it finds a whole new market. The key concepts are the following:<\/p>\n<p><strong>Profit<\/strong>: This is just (Price) x (Quantity).\u00a0 In the picture above, price = .2 and quantity = .8 so profit is (.2)(.8)=.16.\u00a0 Units could be tens of thousands or millions, etc so .16 in profit would be $1,600 or $160,000 etc.. In this example, we\u2019ve allowed marginal cost to be 0.\u00a0 This is pretty accurate for information goods such as tweets and Facebook posts.\u00a0 It\u2019s also true for many platforms like Airbnb and Uber, where the firm does not incur the cost of a stay or a ride.\u00a0 If you want to add costs, just calculate Profit = (Price \u2013 Cost) x (Quantity). Profit is the purple region of the plot.<\/p>\n<p><strong>Consumer Surplus<\/strong>: This represents the value of the purchase to the consumer beyond what the consumer paid.\u00a0 Imagine you find a garment in your favorite store that has exactly the right fit and has great style.\u00a0 Before you check the price, you decide it\u2019s great but you won\u2019t pay more than $120.\u00a0 When you check the price, you find the store is charging $200.\u00a0 The clerk just won\u2019t negotiate so you walk away.\u00a0 Two weeks later, the garment is on sale for half price so you buy it.\u00a0 Your \u201csurplus\u201d is $20 since you would have paid $120 but, in the end, only paid $100. CS is the gold region of the plot.<\/p>\n<p><strong>Deadweight Loss<\/strong>: This is a fancy economic term for profitable sales that could have happened but didn\u2019t. It\u2019s a specific kind of opportunity cost.\u00a0 In this region of the graph, there are consumers who would be willing to pay more than the firm\u2019s cost to produce the good but less than the price the firm is currently charging. So why doesn\u2019t the firm just charge less?\u00a0 The firm could lower price but then it would earn less from all the current customers who do pay the current price.\u00a0 Often a firm will try to capture this region by charging a high price initially then having a sale later but if consumers know this, they may choose to wait. DWL is the red region of the plot.<\/p>\n<h2>Simulation 1 \u2013 Explore a Demand Curve<\/h2>\n<p>Before you change end points of the demand curve (max value or max size), see if you can adjust <em>price<\/em> to maximize profits. The maximum you can achieve is (.25).<\/p>\n<p>\n<iframe src=\"https:\/\/sim1.surge.sh\/\" width=\"100%\" height=\"600\"><\/iframe><br \/>\n<\/p>\n<p>After maximizing profit, feel free to adjust the maximum value of the product i.e. consumers\u2019 maximum willingness to pay, and also the maximum market size (i.e. how many consumers are in the market). Then try to optimize profit again after changing the market\u2019s size and value. Now, maximum profit will depend on your specific choice of parameters.<br \/>\nAs a rule, the maximum profit is equivalent to maximizing the area of the purple rectangle bounded by the red line of the demand curve. Interestingly, the shape of the demand curve really does not matter so long as it slopes down (i.e. people pay less as price rises). The demand curve can even be an arc that is bowed inward or outward and profits are still maximized by the largest rectangle that you can fit underneath.<br \/>\nThe story above is the standard economic model for an independent good.<\/p>\n<h2>Simulation 2 \u2013 Explore an Interdependent Demand Curve Separately<\/h2>\n<p>The problem with the standard economic story is that it does not work for most platform goods that must get two (or more) sides on board. Demand curves for different groups can be interdependent. A pub might charge separate admission to men and to women, who attract one another. An operating system company might sell apps to consumers and system development kits (SDKs) to developers. They also attract one another.<br \/>\nThe question is: what happens when we maximize profits on each individual product? In effect, this is what Steve Jobs did when he sold high priced Macs to consumers and he also sold high priced SDKs to developers.<br \/>\nIn the simulation below, you\u2019ve been put in charge of selling computers. Your job is to set price in order to maximize profits of your division. Steve Jobs has kept control of the developer division. You don\u2019t get to set developer prices; he does.<br \/>\nEach of you will maximize profits in your respective division. You sell to consumers. Steve sells to developers.<\/p>\n<p>\n<iframe src=\"https:\/\/sim2a.surge.sh\/\" width=\"100%\" height=\"600\"><\/iframe><br \/>\n<\/p>\n<p><strong><em>Step 1<\/em><\/strong>: Choose consumer price to maximize division profits in your purple box.<\/p>\n<p><strong><em>Step 2<\/em><\/strong>: Click \u201cOptimize Price for Developers\u201d to tell Steve you\u2019re done and let him optimize developer price.<\/p>\n<p><strong><em>Step 3<\/em><\/strong>: Repeat Steps 1 &amp; 2 until your division profits are as high as you can make them. Run as many simulations as you like.<\/p>\n<p><strong><em>Step 4:<\/em><\/strong> When you have done as well as you can, record your best simulation run. Write down all three profits: for your division (purple box, consumer panel), for Steve\u2019s division (orange box, developer panel) and for the whole company (white box total profit, in between panels). Write down also the prices and sales. To record sales, just estimate using the horizontal axis.\u00a0 Estimate Steve\u2019s price using the vertical developer axis.\u00a0 Approximations are fine.<\/p>\n<p>For your own purposes, create a simple table with all the following entries filled in.\u00a0 You will report only cells with check marks. You will capture the exact same information for Sim-3 (another row) in a moment.<\/p>\n<table width=\"531\">\n<tbody>\n<tr>\n<td width=\"54\"><\/td>\n<td width=\"78\">Consumer Price<\/td>\n<td width=\"60\">Cons. Sales<\/td>\n<td width=\"54\">Cons. Profit<\/td>\n<td width=\"90\">Developer Price<\/td>\n<td width=\"61\">Dev. Sales<\/td>\n<td width=\"59\">Dev. Profit<\/td>\n<td>Total Profit<\/td>\n<\/tr>\n<tr>\n<td width=\"54\">Sim-2<\/td>\n<td width=\"78\"><\/td>\n<td width=\"60\"><\/td>\n<td width=\"54\">\u2713<\/td>\n<td width=\"90\"><\/td>\n<td width=\"61\"><\/td>\n<td width=\"59\">\u2713<\/td>\n<td>\u2713<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>Now ask yourself is this the best that the whole company can do?\u00a0 What could you do differently?<\/p>\n<h2>Simulation 3 \u2013 Explore an Interdependent Demand Curve Collectively<\/h2>\n<p>Given your success with the computer division, Steve Jobs has put you in charge of pricing both divisions while he goes off and invents the iPod. Now you can control prices for consumers and for developers.<\/p>\n<p>\n<iframe src=\"https:\/\/sim3b.surge.sh\/\" width=\"100%\" height=\"600\"><\/iframe><br \/>\n<\/p>\n<p><strong><em>Step 1<\/em><\/strong>: Choose <em>consumer<\/em> price (left panel) to maximize profits in the total profit white box.<\/p>\n<p><strong><em>Step 2<\/em><\/strong>: Choose <em>developer<\/em> price (right panel) to maximize profits in the total profit white box.<\/p>\n<p><strong><em>Step 3<\/em><\/strong>: Repeat Steps 1 &amp; 2 until your total firm profits are as high as you can make them.<\/p>\n<p><strong><em>Step 4:<\/em><\/strong> When you have done as well as you can, record your best simulation run. Write down all three profits: for the consumer division (purple box, consumer panel), for the developer division (orange box, developer panel) and for the whole company (white box total profit, in between panels). Write down also the prices and sales. To record sales, just estimate using the horizontal axis. Approximations are fine.<\/p>\n<p>For your own purposes, complete the earlier table with all the following entries filled in.\u00a0 Report only cells with check marks.<\/p>\n<p>&nbsp;<\/p>\n<table width=\"531\">\n<tbody>\n<tr>\n<td width=\"54\"><\/td>\n<td width=\"78\">Consumer Price<\/td>\n<td width=\"60\">Cons. Sales<\/td>\n<td width=\"54\">Cons. Profit<\/td>\n<td width=\"90\">Developer Price<\/td>\n<td width=\"61\">Dev. Sales<\/td>\n<td width=\"59\">Dev. Profit<\/td>\n<td>Total Profit<\/td>\n<\/tr>\n<tr>\n<td width=\"54\">Sim-2<\/td>\n<td width=\"78\"><\/td>\n<td width=\"60\"><\/td>\n<td width=\"54\">\u2713<\/td>\n<td width=\"90\"><\/td>\n<td width=\"61\"><\/td>\n<td width=\"59\">\u2713<\/td>\n<td>\u2713<\/td>\n<\/tr>\n<tr>\n<td width=\"54\">Sim-3<\/td>\n<td width=\"78\"><\/td>\n<td width=\"60\"><\/td>\n<td width=\"54\">\u2713<\/td>\n<td width=\"90\"><\/td>\n<td width=\"61\"><\/td>\n<td width=\"59\">\u2713<\/td>\n<td>\u2713<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>If you did this correctly, you should be able to achieve at least a 15% improvement in <em>total<\/em> profit by controlling both prices simultaneously.<\/p>\n<p>When you are finished, post just the profit columns in the discussion forum with labels. Include the Sim-2 and Sim-3 information. DO NOT POST YOUR PRICES (THIS WOULD GIVE AWAY THE ANSWERS).<\/p>\n<h2>Simulation \u2013 Summary<\/h2>\n<p>Why should Sim-3 results be better than Sim-2 results? Wasn\u2019t each division already as profitable as it could be? The answer is that the highest total profit for the entire firm is <em>not<\/em> the same as the sum of the highest total profit across the separate divisions. To see this, note that profits in the developer division for your Sim-3 are <em>lower<\/em> than the profits Steve Jobs achieved.\u00a0 If Steve only looked at your profits in the developer division compared to what he achieved, he\u2019d be pretty angry at you.<\/p>\n<p>But your profit gains in the consumer division are now so much greater than your profit losses in the developer division, that dropping the price of SDKs in the developer market was totally worth it.<\/p>\n<p>Because these markets experience a network effect, the prices and market sizes are <em>interdependent<\/em>.\u00a0 More developers attract more consumers who attract more developers who attract more consumers, etc.. The market sizes are <strong><em>not<\/em><\/strong> fixed but are in fact co-determined. Participation on the same-side of the market affects participation on the cross-side of the market, and vice versa \u2013 the simulation accounts for this feedback. Now you can attract more developers by lowering their price, or possibly even subsidizing them.\u00a0 This will bring in more consumers.<\/p>\n<p>The optimal prices can go up or down for either side depending on the size and direction of the network effects. In this simulation, there are two network effects: (a) developers attract consumers, and (b) consumers attract developers. Here, developers are the stronger magnet so their price falls relative to the optimal independent price.\u00a0 From your table, see how developer price dropped from Sim-2 to Sim-3. By contrast, optimal consumer price actually rose from Sim-2 to Sim-3 and yet sales <em>also<\/em> increased, despite your price hike.<\/p>\n<p>This cannot happen for a standard independent good. In the context of network effects, however, the reason consumer sales can rise even when consumer prices also rise is that developer prices have fallen. With more developers using the SDKs, consumers are willing to pay more for the extra value developers have brought to the market. This interdependence is why normal pricing methods fail.<\/p>\n<p>Note, <em>both<\/em> demand curves <em>still<\/em> slope downward. A price hike to consumers still causes a sales drop among consumers. Likewise, a price hike to developers still causes a sales drop among developers.\u00a0 Rather the issue is that a price drop to developers can lead to a cross-side price hike among consumers (and vice versa). We must understand both same-side and cross-side effects of price shifts.<\/p>\n<p>Here we introduce a bit of terminology.\u00a0 The side of the market getting the price drop is the \u201csubsidy side\u201d and the side of the market getting the price hike is the \u201cmoney side.\u201d<\/p>\n<p>The interdependence of prices is what makes pricing platforms so complex.\u00a0 The more sides there are, the more complex the interdependencies.\u00a0 As a rule, drop prices for that group that adds the most value or represents the strongest magnet.<\/p>\n<p>&nbsp;<\/p>\n<p>For a deeper understanding of these issues, please see:<\/p>\n<ol>\n<li>Parker, G. G., &amp; Van Alstyne, M. W. (2005). <a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=1177443\">Two-sided network effects: A theory of information product design<\/a>.\u00a0<em>Management science<\/em>,\u00a0<em>51<\/em>(10), 1494-1504. [<strong>for academics<\/strong>]<\/li>\n<li>Eisenmann, T., Parker, G., &amp; Van Alstyne, M. W. (2006). <a href=\"https:\/\/hbr.org\/2006\/10\/strategies-for-two-sided-markets\">Strategies for two-sided markets<\/a>.\u00a0<em>Harvard business review<\/em>,\u00a0<em>84<\/em>(10), 92. [<strong>for practitioners<\/strong>]<\/li>\n<li>Parker, G. G., &amp; Van Alstyne, M. W. (2000). <a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=249585\">Information Complements, Substitutes &amp; Strategic Product Design<\/a>. <em>Proceedings of the Twenty-First International Conference on Information Systems<\/em>, <em>12<\/em>(10), pp. 13-15. [<b>for academics &#8211; first ever paper on two-sided markets<\/b>]<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Monetization: Two-Sided Network Simulation Optional \u2013 Demand Curves Here, we describe a single independent demand curve. You should understand this in order to understand coupled demand curves for the simulation in the next section. If you have had economics, feel free to skip or skim this section. A demand curve represents graphically how much consumers [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-2444","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Simulation for OMBA - Platform Strategy<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/questromworld.bu.edu\/platformstrategy\/ombasimulation\/\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:locale\" content=\"en_US\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:type\" content=\"article\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:title\" content=\"Simulation for OMBA - Platform Strategy\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:description\" content=\"Monetization: Two-Sided Network Simulation Optional \u2013 Demand Curves Here, we describe a single independent demand curve. 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