Consumers use the Internet to search for local businesses, events, and topics. Google is a major player in local search, but so is Bing, Yahoo!, Yelp, YellowPages.com, Foursquare, and other sites. Local search now has a new competitor: Facebook Graph Search.
Launched this week, Facebook’s new search product focuses on finding connections between people, photos, places, and interests. But the most interesting aspect of Facebook search is its potential in the local search space.
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How Facebook Graph Search Works
With a reported 1 billion users, 240 billion photos, and 1 trillion connections in its arsenal, Facebook has created a different type of search. Traditional search results pull from a massive dataset of inde…
Local search is a critical component in the quest to drive online visitors into brick and mortar stores to complete their purchases. Research by comScore has shown that 49% of local searches are conducted without a specific business in mind, and 61% of searchers consider local results to be more relevant than standard search results. In addition, even for major brands with ecommerce capabilities, some customers will want to see and feel and try on products before making a purchase decision. Winning these potential customers’ foot traffic via local search requires a combination of store locator features on your site, search engine optimization and local feed optimization.
Local search results are divided into two areas: localized web search results and local places results. Localized web search results are simply part of the standard 10 blue links on a search results page, with content specific to your location. Local places results are displayed with a map and contain primarily address, phone number and URL information. These two types of search results are blended into the search results page together, but different forms of optimization are required to be included in each. […] Read >
Online location pages of physical stores should provide much more information than just the physical address of a store close to the individual user. Many consumers already know where a store is, based on their everyday routines. What they don’t know…