Technology
Price comparison sites can collect data directly from merchants. Retailers who want to list their products on the website then supply their own lists of products and prices, and these are matched against the original database. This is done by a mixture of information extraction, fuzzy logic and human labour.
Comparison sites can also collect data through a data feed file. Merchants provide information electronically in a set format. This data is then imported by the comparison website. Some third party businesses are providing consolidation of data feeds so that comparison sites do not have to import from many different merchants. Affiliate networks such as LinkShare, Commission Junction or TradeDoubler aggregate data feeds from many merchants and provide them to the price comparison sites. This enables price comparison sites to monetize the products contained in the feeds by earning commissions on click through traffic.
In recent years, many off the shelf software solutions have been developed that allow website owners to take price comparison websites' inventory data to place retailer prices (context adverts) on their blog or content only website. In return the content website owners receive a small share of the revenue earned by the price comparison website. This is often referred to as the revenue share business model.
Another approach is to crawl the web for prices. This means the comparison service scans retail web pages to retrieve the prices, instead of relying on the retailers to supply them. This method is also sometimes called 'scraping' information. Some, mostly smaller, independent sites solely use this method, to get prices directly from the websites that it is using for the comparison.
Yet another approach is to collect data is through crowdsourcing techniques. This allow the price comparison engine to collect data from almost any source without the complexities of building a crawler or the logistics of setting up data feeds at the expense of lower coverage comprehensiveness. Sites that use this method would allow visitors to contribute pricing data. Unlike discussion forums which also collect visitor input, price comparison sites that utilize this method would collaborated the data with related inputs and add it to the main database though collaborative filtering, artificial intelligence, or human labor. Data contributors may be rewarded for the effort through prizes, cash or other social incentives. Wishabi, a Canadian based price comparison site, is one example that employs this technique in addition to the others mentioned earlier.
However, some combination of these two approaches is most frequently used. Some search engines are starting to blend information from standard feeds with information from sites where product stock-keeping units (SKUs) are unavailable.
Similar to search engine technology, price comparison sites are now spawning "comparison site optimisation" specialists, who attempt to increase prominence on the comparison sites by optimising titles, prices and content. However, this does not always have the same effect, due to the differing business models in price comparison.
Read more about this topic: Price Comparison Service
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