The Ecommerce Potential for Facebook Graph Search

Facebook’s big announcement Tuesday was revealed to be a beta launch of Graph Search, which will allow Facebook users to query their social graph to find answers to life’s deep questions like “what sushi restaurants have my friends been to in New York and liked?” The tool will slowly roll out over the next few months, and will work for phrases rather than keywords.

Mark Zuckerberg hinted at this functionality at TechCrunch’s Disrupt conference last fall:

Search is interesting. We do on the order of 1 billion queries a day and we’re basically not even trying. Today with search, the vast majority of it is people trying to find people, but there’s also a meaningful portion of queries where people are trying to find Pages, brand Pages, other business Pages — so there’s a bunch of that that actually does link to commercial behavior, and I think there’s a big opportunity there and we just need to go do that…

Though the initial rollout is not necessarily commercaily-focused, let’s look at the potential for ecommerce marketing.

Boosting word of mouth

Someone who wants to buy a gift for their teenage niece who may search “What brands do friends of Jacqueline like?” for ideas where to shop.

Merchandising and persona research

An ecommerce marketer could discover what people who like [brand, product, etc] also like, to merchandise emails and home pages, brainstorm cross-sell associations or develop marketing personas.

Facebook advertising strategies

Facebook ads let you target by interest keyword. Discover keywords by searching “Brands that people who like [your brand]” also like,” and target your ads to users who like those brands (or interests, music, TV shows).

HR recruiting

Elastic Path’s HR manager could search “friends of friends who work at Elastic Path that like Java.”

Facebook Graph Search Optimization

The best way to optimize for Graph Search is to simply get as much of your content in the social graph. Beyond adding Like buttons to your home page and product pages, update your fan page frequently with posts that provoke sharing (see our post on Facebook News Feed Optimization for ideas). Explore non-product page content marketing (stay tuned for an upcoming post on content marketing for ecommerce). The point is, get site visitors to share the heck out of your content if you want a chance to be found.

Potential derivative products for businesses

Going back to Zuckerberg’s comment on commercial queries, future updates to Graph Search could potentially include the ability for Business Page administrators to query the social graph of users who’ve liked their Page.

Facebook could also explore native advertising options like promoted search results. For example, if your brand appears in search results, you could pay to have it highlighted or ranked higher (with disclosure, of course).

Advanced fan marketing could enable a business Page administrator to query which fans like a certain TV show or event and send permission-based Facebook Messages to these users with offers (e.g. Coachella style offers, or pre-order Halo 5).

There’s a lot of potential for consumers and marketers, but the big question is, do Facebook users care about Graph Search, or is this just Facebook’s attempt to do something search-y that fizzles out?

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6 Responses to “The Ecommerce Potential for Facebook Graph Search”

  1. Linda,
    We all knew this day would come and I am happy to see Mark accept the challenge and begin focusing his resources on this area. Once again, well written article that wraps up the kep data and applies it to real world possibilities. Get Elastic is one of the few e-mails that takes a priority to be read every weekday since your content assists my clients and keeps me finger on the pulse of e-commerce. Hope to run into you again if you make it to Internet Retailer or Shop.org Annual Summit this year!!

  2. C. Bagdon says:

    I love that question you pose at the end of your posting.

    Obviously, Facebook rolls out a lot of features. Do you know of any statistics on what percentage of these features see mainstream adaption and what percentage quietly fizzle away?

  3. Damian D. says:

    I agree with David P., we all knew this day was coming. Social search does have the future. Facebook has been long using its “Like” button to ranking the web just like Google once did using the link data, and now with its Plus button. The main edge from Facebook’s Search Graph over Google’s algorithm is the “Like” button. It is not a coincidence that Google created the Plus button to go after Facebook’s Like button. Facebook has the edge of what people like and will use that edge to mine data, which in turn it can sell to advertisers. What do you think?

  4. I think there’s a lot of potential to find new clients and make new contacts this way.

  5. Things Like graph search are good for professional use but i don’t thin user will like in their personal use because privacy issue arises here.

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