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Internet Search Background Information Dramatic collapse in the stock prices of leading E-retailers. Etoys, an online shop selling toys, had a market capitalization: Year 1999: $10 billion Year 2000: only $4 million on the verge of bankruptcy Reasons for the collapse High fixed costs Low price-margin advertising website development not just one time set up costs internet search technologies create Bertrand-like competition Price searching business is becoming more and more important as the E-retailing business is more and more popular Flow of report Introduction to search engine How search engine affect business online? Question and Answer Price Search Price Search Engine websites specified in finding out the lowest price offered in the internet by E-retailers will direct you to the website of retailers Price Search 2 kinds of search engine: Database-based Shopbot-technology-based Price Search Database-based: Firms directly enter prices and item descriptions into the database Use a web-based interface to enter and change the price Pricewatch.com, Shopper.com Price Search Prices listed can be changed Firms can complete with each other Shopper.com – change twice a day Pricewatch.com – unlimited times a day PRICE WATCH Pricewatch.com ® Database-based facility specified in searching computers components E.g memory, CPUs, motherboard...etc Firms listed: mainly small firms large number of small business in this segment without advertising or web development costs the major channel to reach customers: Pricewatch Search Engine Revenue E.g Shopper.com $1000 one-time, non-refundable fee Additional $100 at the beginning of each month Firms receive over 250 qualified leads: Qualified lead – a consumer ‘clicks-through’ from the Shopper.com site to a firm’s site $0.5 per lead for first 50,000 leads $0.6 per lead for each additional PRICE WATCH ® ResellerRatings.com Evaluate companies who sell computer products enable people to post feedback on companies How Internet Search Work Search the Internet Building the index Search for indexed data Price Search Shopbot-technology-based: Shopbot - An automated search engine that visits multiple E-retailers’ sites to collect information about prices and other attributes of goods and services MySimon.com Search the Internet Example: Google.com Use of multiple spiders Use of special software robots “Spiders” Starts at popular sites Indexing words on web pages Follow links and spread out Store the indexed data for later access For system sent 4 spiders at a time Crawl over 100 pages/sec Generate 600kB/sec How spider works? Building the index Select information and method of indexing Assign weight to each entry Words in titles can more heavily weighted Different search engine have different weighting methodology different ranking Other information will be stored size e.g. Font STOP SEARCHING! Possibility of improper usage “Search engine spamming” “Child care” in web site selling children clothing Use of “playboy”, “playmate” in a website and had been sued by Playboy Bargain Finder by Brian Krulwich Search online CD stores for the best price Over 100,000 users in the first 2 months 3 out of 8 online CD stores the program searched decided to prevent its search on their web sites a highly scalable information retrieval system advanced parallel search technologies Offer instant product comparison User link to merchant’s “buy” page for easy purchasing. Pricing strategy Commission model charge the sellers a commission of 2%- 5% of each sale Sponsor model charge the sellers a certain amount of ad fee On one hand, Merchants are willing to be “comparisonshopped” because the Web traffic they get is motivated to buy. On the other hand, Retailers never like to be side by side with their competitors want to build brand on their own Empirical Studies: Data Price data: hourly data of certain preselected products from Pricewatch.com Sales data: from one internet retailer Little advertising Most traffic is from Pricewatch Other data: ranking of firms lowest price Empirical Results Extremely high elasticity in demand Negative cross-price elasticity Empirical Results Prices are only about 2% above marginal cost Bertrand competition even efficient, budget-conscious retailers that did not advertise could hardly survive Cross-price elasticity of demand for a higher quality product with respect to the price of low-quality product Empirical Results Given the limited capabilities of search engine, consumers’ only option is to first use the price search engine to get a list of the websites offering the lowest price for any memory module, and then to follow some hyperlinks provided to find the price of the product that best fits their preferences. Obfuscation – Bait-and-switch “Bait-and-switch” offering a low quality product at a very low price to attract customers and then try to convince them to pay extra to get another product of higher quality in the website Obfuscation – Bait-and-switch Higher quality product with higher price are advertised on the websites Better warranty and return policies. Eg, CPU without fans VS CPU with fans Search Engine Revenue Paradox Revenue of Search Engine Retailer’s side: membership fee, referral fee E.g. Yahoo! Shopping: 2% gross profit Consumer’s side: membership fee Search Engine Revenue Paradox Retailer’s Side Bertrand-like competition making no profit will not pay much to be listed Consumer’s Side no price dispersion unwilling to pay for the information How do E-retailers survive? Limitation of search engine One cannot ask a search engine to find “decent-quality memory modules sold with reasonable shipping, return, warranty and other terms” How do E-retailers survive? Cheating!!! Obfuscation make it difficult for consumers to compare prices increase search cost Obfuscation – Mattress Case Search and Obfuscation do not start with the internet Phone – an effective method for comparing prices Mattress case: Retailers use different model names to hinder price comparison Only 2 out of 44 have same model names Obfuscation – Hidden cost Offering a low price with unreasonable shipping and handling fees Unattractive contractual terms: Consumers: return shipping and 15-20% restocking fee on all returns. (Include defective product) very short warranty period Now: give a range or put “and up” after the number Obfuscation For shopbot-technology More prone to obfuscation Incorrect prices and matches E.g: Yahoo! Shopping “128MB PC100 SDRAM” 5 lowest prices: $0!! Incorrect memory module Obfuscation Some firms state that offered prices are not available through the website and require consumer to call on the phone. While other retailers state that the prices on Pricewatch are only available through the website and do not apply to phone orders. Tools those Search Engines Use The search business is also more focused on making money. Without a profit, search sites won't be around. They're doing their best to match advertisers with potential shoppers. Different search sites show their sponsor search results with different degree of transparency, and some may even be misleading. Commercial Interests Affect Real Result A site owner who pays a search engine to be included receives a guarantee that the site's pages will be frequently revisited. Search engines, e.g. AOL and MSN, are able to manipulate results and prevent competitors’ sites form showing up. Search engines also places sponsored links before other non-partner links in the real results. Sites that Pay Metasearch engines are even worse, and they become meta-yellow pages because they query paid listings. However, one search engine, Google, opposes and claims that treating a smaller list of sites differently isn't fair. Are Ads All Bad? Ads can be useful, depending on what you're searching for. If you're shopping for something specific, sponsored links can often lead you to reputable e-commerce sites. E.g. "Palm M130“ If you search for "Palm M130" on any of the major sites, you'll get links to several stores, and often to ads or sponsored links with the latest prices. Search and Obfuscation A game of balance of power Improvement in information technology decrease or sometimes increase the search costs Search engine case: Consumers: wish to lower search cost Retailers: wish to raise search cost Conclusion While the internet clearly facilitates search, it also allows firms to adopt a number of strategies that make search more difficult.