Creating the Ideal Local Search Experience
Revenues from online local adver=sing surpassed $4 billion worldwide in 2006, and are expected to grow to over $11 billion by 2011, according to the Kelsey Group. It’s no wonder, then, that search engines, Yellow Pages publishers and others in the informa=on business are interested in capturing a slice of this pie. As the local search business heats up, however, it will take more than offering access to a business lis=ngs database to succeed. Ul=mately, what will make a local search engine stand out from the others is the extent to which it can accurately and successfully find more obscure items. (ARer all, any search engine can find common informa=on.) To provide this experience, the local search directory must offer complete, accurate, rich, deep content, along with super‐fast, mul=‐faceted full text‐search capabili=es. Given these reali=es, you’d think that Internet Yellow Pages (IYP) sites should be including reams of data for each business whether they pay for it or not. This would help the IYP sites connect buyers to sellers more effec=vely. ` However, the IYP bean counters will tell you that this does not make very good financial sense since their business model is strictly one of paid inclusion. Sure, they agree that if you “tell more,” then you will “sell more.” But if you want to tell more, they argue, then you really should pay more, too. However, we believe that it’s =me to move past paid‐only inclusion of business‐lis=ngs content. While the IYP sites might make more short‐term revenue this way, they’re depriving buyers of data they need to find merchants who meet their needs. And searchers won’t hang around if their needs aren’t met. Ge\nG a Good return from local search content One approach to designing your local search experience is to help each business maximize its exposure, visibility and impact (EVI). EVI analysis is an effec=ve sales and marke=ng tool that can be used to develop, classify and sell content‐based online products. Unlike other methods of developing local search content, EVI factors give search engines a quan=ta=ve basis to evaluate the return on investment that a business might expect from including addi=onal content on the site.
“Ul$mately, what will make a local search engine stand out from the others is the extent to which it can accurately and successfully find more obscure items.” Exposure Exposure refers to reach and traffic, i.e. the number of users that visit and use a site. It is equivalent to the circula=on of a newspaper or magazine. Rich content builds exposure. Having deep content will create a good user experience that will, in turn, build user loyalty and foster word‐of‐mouth adver=sing. Consider the user who is looking something unusual — say, a window retailer that offers the Hunter Douglas™ brand and is open on Saturday. If a search engine or portal is able to service this kind of very specific request, as well as the run‐of‐the‐mill queries, then it will receive good return traffic and also benefit from the same viral word‐of‐mouth adver=sing that Google did.
Visibility Visibility is a measure of how easily a lis=ng can be found. For instance, if a business were to list Sony as one of the brands that it sells, and a user were to search for “Sony,” then a search engine with perfect recall will return that business as part of the result set. If that business were to list 10 brands instead, then it would become visible for searches containing any one of those 10 different brands. The more brands it lists, the more visible it becomes. However, just because the search engine finds the business, there are no assurances that user will find business. For instance, if there are 1,000 businesses that list Sony, then clearly most of the businesses that want to be found are not on the first page. In fact, it is possible that the business that is most suitable for the par=cular user is on the last page, where few souls ever travel. To address this issue, the search engine should provide some mechanism that will help guide the user to that business on the last page of the result set by providing en=cing and relevant informa=on. For example, if the search engine were to proac=vely present filters that enabled the user to select the category of business, the opera=ng hours, payment types and also select only authorized dealers, then the user could easily specify that she or he was looking for a television store that was open on Saturdays and was an authorized Sony retailer that accepted Discover. If, star=ng with only a single keyword, a concierge type tool allows users to drill down using specific keywords, then this tool could enable users to pinpoint the exact business that is most suitable for their needs. This resembles the way a hotel concierge might help a patron find that perfect restaurant.
“Having deep content will create a good user experience that will, in turn, build user loyalty and foster word‐of‐mouth adver$sing. .” Impact Impact is the influence that is exerted on the user to make a purchase. Once a lis=ng is found, the user must be convinced to buy from the merchant in ques=on. High‐impact items include addi=onal content (e.g. audio or video), “call‐to‐ac=on” items (send to phone, click‐to‐call, etc.), as well as other features related to the presenta=on of the content, such as bold type or colored lis=ngs. It’s worth no=ng that although impact is strengthened greatly by a nice visual presenta=on, without the necessary content, the impact of any visuals is limited. For instance, a “Visa” medallion is a high‐impact item, compared to the statement “we take Visa.” However, if the data did not contain informa=on about the credit cards accepted by the business, then presen=ng the Visa medallion would not even be possible. That’s why content is key to making impact features effec=ve. buildinG local search traffic with content Clearly, then, content is beneficial to users and adver=sers on a site and this benefit can be quan=fied by the EVI factors. And so in this lucra=ve, dynamic marketplace, there is a vast blue ocean for those who are willing to risk turning in their “safe” online products for new content‐ driven ones. On a site where content abounds and effec=ve search enables users to filter results based on structured data, new opportuni=es arise. As users drill down to indicate their preference of “accredita=on” or “service hours” or “special=es,” the search engine has more and more specific informa=on about exactly what the user wants. This means that each subsequent click becomes more relevant for the user and, as
such, more valuable to a poten=al adver=ser. This is directly opposite to how exis=ng Web search engines deliver results, where users are mostly limited to clicking on the “next page” buion and subsequent pages are guaranteed to be less relevant. Thinking about EVI factors opens up a number of opportuni=es for IYPs to create lucra=ve, innova=ve online products to replace revenue lost by declining book usage and as inventory is depleted by priority‐type products.
“... although impact is strengthened greatly by a nice visual presenta$on, without the necessary content, the impact of any visuals is limited.” Crea4ng new Local Connec4ons The combina=on of superior content with the right search technology allows search engines and portals to connect local buyers with local merchants in a new way – and it’s high =me they do so. ARer all, if directories don’t give users what they expect, then they can find it elsewhere with the simple click of a mouse. The inclusion of this addi=onal content will require IYP sites, search engines and portals to become innova=ve in thinking about products rather than relying on old paid inclusion models. But it’s worth the effort. All of this together will posi=on an organiza=on to lead the way in becoming a dominant market leader in the very lucra=ve world of local search.