Shopping Comparison Management
There is a steady shift in shopping from offline to online & more consumers are shopping online now than ever before. With online shopping gaining momentum, consumers rely a lot on the internet to find the best deals through price comparison and a plethora of Shopping Comparison Engines exist to serve the market - Become, Bing, Google Product Search (aka Google Base), Like.com, Milo, NexTag, PriceGrabber, Pronto, Shopping.com, ShopWiki, Shopzilla, Smarter.com, Sortprice, Street Prices, TheFind and many more.
As most buyers research online before buying and the shopping comparison engines are often a starting point of the research, Internet Retailers ought to effectively and efficiently exploit the traffic that the shopping comparison engines drive. We help internet retailers to optimize their product feeds for the shopping comparison engines and also automate the feed submissions.
Our scope of work includes -
- Analyzing product category and structure of client database & recommend the comparison engines that best suit the client requirements
- Mapping the structure to the shopping comparison engine’s taxonomy as each shopping comparison engine has its own structure
- Developing an automated system for generating and submitting the feeds
- Performance Analysis - hits, conversions and cost
- Optimizing the feeds for improving ROI
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We have clients sending feeds to many shopping comparison engines. We have developed & automated systems to submit feeds directly from client's database or through our systems for the following sites - Amazon, BazaarVoice, Become, BizRate, Bridaluxe, BuyersEdge, Commision Junction, Digital Performance, Ebay, Froogle / Google Product Search, Like, LinkShare, MSN/Bing, MySimon, Nextag, Nextopia, Omniture Site Search, Optimum Return, PepperJam, PriceGrabber, PriceScan, Pronto, ShareASale, Shop.com, ShopMania, Shopping, ShopToIt, SingleFeed, Smarter, SortPrice, TheFind & Yahoo Stores
Our client is an online retailer selling a wide range of Home & Kitchen products. The client wanted to to monitor the prices of several competitors on a daily basis. We have built an automated solution to periodically fetch the prices for specific products that the client has selected from the competitor's websites and set up email alerts configurable at product level.
We manage the submission & optimization of data feeds to Nextag, Price Grabber & Shopping for an online retailer. Besides submitting the feeds directly from the client's system, we also align the feeds to the promotions that are available and include appropriate marketing messages in the feeds. We also monitor the performance of the feeds regularly and tweak the feeds, adjust the bids where possible and include / exclude products from feeds based on performance.