Definition: Graph search is Facebook's inquiry engine that lets users enter natural-language search queries to find users who match a set of criteria. Searches can include criteria such as likes, shares, name, location, employer and more.
Ecommerce merchants can benefit from this Facebook feature by using it to promote their sites via a connections' likes and shares. Companies can use the tool to discover their audiences' insight into certain products and services, while also monitoring the reach of current influencers, according to Moz.
While ecommerce sites can use graph search to gain valuable information about current and former customers, the most useful feature may be the ability to research competition. Businesses can search for not only their own name, but also competitive businesses to see what content and products are most widely shared.
Based on these search results, enterprises will have a better idea of how popular their offerings are and what marketing methods are or are not working. With this information, ecommerce sites can reorganize their strategies and find better ways to engage with their client base. Mimicking their competition's methods will help merchants increase their following and consumer engagement, as well as their presence in future searches.
With all its information, graph search is not a perfect inquiry engine. Keep the following best practices in mind to return the most relevant results:
Facebook users and businesses alike were once frustrated by the limitations of the platform's search tool. In December 2014, however, the social media site released an updated version that allows people to search through posts, people, photos, places, pages and groups, etc, to find what they're looking for. Since the search is indexed by Facebook, greater priority will be given to results based on the strength of a user's relationship to his or her peers and the person publishing the post, according to HubSpot. Utilizing the keywords entered into the search, the graph search gives answers based on the context and potential interest level of the user.
Graph search allows ecommerce merchants to better organize and direct their marketing efforts. By paying attention to overlapping interests or popular hashtags, companies can target their efforts in a stronger way, according to Social Media Examiner. Knowing what an audience is interested in or frequently uses as keywords enables businesses to find similarities in their own products and services that can be mixed in with consumer passions.
Furthermore, using well-known keywords, hashtags and other references will make an enterprise's own information more relevant in future graph searches. A brand will reach a larger audience and become more visible in user inquiries by utilizing this information to the best of their ability.