Filters- You can narrow down the search by using filters.
Advertisements – Some times there are ads that are related to the search words.
Why retailers should advertise on price comparison site?
Increase in Traffic – Running marketing campaigns on the comparative search engine will drive more website traffic at low investment. Large member base – Comparative search engine has large member base.
Higher ROI – ROI is higher on the comparative search engine when compared with ROI from regular search engine.
Comparison Shopping – Comparative search engine gives an edge over competitor if you have a special promotion.
Free customer Survey – Certain comparison site give customers an option to rate the site. This can be very helpful for the online- retailers.
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 labor.
Comparison sites can also collect data through a data feed file-Merchants provide information electronically in a set format. Affiliate networks such as LinkShare aggregate data feeds from many merchants and provide them to the price comparison sites.
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.
Yet another approach is to collect data is through crowd sourcing techniques. Sites that use this method would allow visitors to contribute pricing data. Price comparison sites that utilize this method would collaborate the data with related inputs and add it to the main database though collaborative filtering, artificial intelligence, or human labor.
This entry was posted on Apr 14, 2012 at 12:13 PM and is filed under Web Analytics, Web Analytics- Comparative Search Engine, Web Analytics- CSE, Web Analytics- Terms, Web Analytics-Concepts. You can follow any responses to this entry through the RSS 2.0. You can leave a response.