Natural Search and Mobile SEO

The process of doing keyword research for mobile search is different than it is for desktop search, partly because there’s far less user data for mobile queries and partly because the absolute search volume data from popular keyword research tools isn’t 100% accurate anyway. Bryson Meunier’s post offers some best practices for mobile keyword research, using an in-depth examination of the top 100 mobile search queries from AT&T’s Beyond MEdia Net search engine. According to the data, 73% of the mobile queries were navigational–meaning that almost two-thirds of the searchers already knew what they were looking for. This differs from the consensus on desktop search that the majority of queries are informational in nature. Because of this factor, Meunier says that using branded terms, competitor terms and names of known products as core keywords could be your best bet for increased mobile search visibility. Meunier adds that creating a mobile site and using the term “mobile” in the copy as a secondary keyword can also lead to increased traffic from mobile search engines, as users seem to want to make sure that they’re navigating to a site that’s accessible and optimized for their mobile browser. 

 

Top 100 Mobile Keywords   Top100MobilSearch

 

 

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 Methodology

 

The JumpTap Mobile Keyword Tool on AT&T’s Mobile Developer platform shows mobile searches from AT&T’s Beyond MediaNet mobile search engine. When a character is put into the keyword tool it returns the ten mobile queries with the highest search volume during the month of September 2007 that contain that character. Inputting the alphabet and the numbers 0-9 produces, if not an exact representation of the most popular queries in the index, then certainly a close approximation. Duplicates were removed before the data was categorized with the Live Search ad intelligence tool, and web search volume was added for the sake of comparison. When the Ad Intelligence tool did not return a category or returned an obviously inaccurate category, the keyword was categorized using ODP categories. Query intent was defined using the method set forth in Determining the User Intent of Web Search Engine Queries.

 

Mobile Query Intent

 

According to the classification, the mobile queries were overwhelmingly navigational in nature, with almost three quarters of the queries coming from users who already knew what they were looking for:

query intent percent of queries

informational 12%

navigational  73%

transactional 15%

 

 

 

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 What’s remarkable about this is that the results differ greatly from most studies of computer-based queries in that navigational queries are in the minority for most computer-based searchers. Early studies by Rose and Levinson and Broder put navigational queries at 24.5% of the sample at most.

 

 

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The disparity could be the result of a number of things, including the fact that the sample size consists entirely of head terms, which could be primarily navigational in nature. However, the abundance of navigational queries is consistent with a hypothesis put forth by Google researchers Kamvar and Baluja in Deciphering Trends in Mobile Search (2007) about the lack of diversity in mobile queries that searchers are using queries that they know return “usable” sites. By entering a query for a site or a subject that they know exists on the World Wide Web, mobile searchers could be hoping to find usable sites.

 

Best practices for marketers:

 

    * Using navigational queries such as branded terms, competitor terms and names of known products as core keywords could lead to increased visibility in mobile search engines.

    * Since this and the Kamvar/Baluja research seem to show that users are looking for usable sites, developing a mobile web site and including the term “mobile” in the copy as a secondary keyword could lead to increased visibility in mobile search engines.

 

Subjects of Mobile Queries

 

There have been a couple of interesting studies on subjects of mobile queries, including the aforementioned Google research and an iCrossing panel study. One of the striking differences between this categorization of mobile queries and the Google research is the near absence of adult queries. Of the nearly 3 million searches in the AT&T mobile search index, only 25,000 could be considered adult in nature, and the query itself (”hot girls”) is too benign to be considered adult by most definitions of the word. It’s possible that adult queries were filtered from the index, or that AT&T’s mobile subscribers are more genteel than the average Google user. However, given the huge disparity between the more than 25% adult queries in the Google study and the less than 1% in the AT&T top 100, it’s likely something else is at play.

 

The overwhelming majority of searches in the AT&T index were in the Computers & Electronics category, followed by Sports & Recreation and Arts & Entertainment

 

 

Popular Mobile Subjects 

 


 

Within the category with the highest search volume, keywords related to search engines/portals were the most popular by far, followed by keywords related to social networking. This is surprising given the prominence of the search box on the MEdia Net and Beyond MEdia Net portal pages. These searchers could be looking for popular webmail services, or simply prefer Google and Yahoo! search to MEdia Net’s alternative. This last point would contradict the notion of users searching for “usable” sites, however.

 

Computers & Elelctronics 

 

 The Sports & Recreation category was dominated by general sports searches like “espn”, which isn’t surprising given Ad Age’s recent revelation that the ESPN mobile site sometimes gets more traffic than the web site.

 

Sports and Recreation 

 

 

In the Arts & Entertainment category, celebrity queries were the clear winner, followed by the photography category. It should be noted that “photography” as categorized by the Live Search Excel add-in includes words like “images” and “pictures”, which could be images of just about anything, including celebrities.

 

Arts and Entertainment, Drake Morton 

 

 

What the Ad Intelligence tool classifies as Science, Social Sciences & Humanities consists of exactly two keywords: “horoscope” and “weather”. Of these, weather is the most popular, with over 120,000 searches during the month of September.

 

Science, Social Sciences and Humanities 

 

 

Half of what is here classified as Education & Instruction– keywords related to maps– could also be classified as pertaining to local information, which is a category used in the aforementioned iCrossing mobile search study. Taxonomy notwithstanding, maps dominated this category, with less than 10,000 searches related to the keyword “dictionary”.

 

Education and Instruction, Drake Morton Mobil Advertising 

 

 

In the shopping category the transactional query “free” dominated, besting both ebay and the popular home improvement retailer Home Depot.

 

Shopping SEO Mobile, Drake Morton 

 

 

Finally, in the Families & Relationships category, Kids & Teens was the most popular category, followed by Romance, represented by the query “love”.

 

Families & Relationships SEO, Drake Morton 

 

 

For the full breakdown of queries by category, see the complete mobile query data.  http://spreadsheets.google.com/pub?key=pszgxJkJ8G6uIsOOsK5ZPQA

 

Best practices for marketers:

 

    * Understanding what categories mobile users are searching for most can help when developing mobile content, as high volume categories will likely drive more organic traffic.

    * Though local and mobile are often synonymous when discussing mobile search marketing, it’s clear that users of AT&T’s mobile search engine have interests beyond their own city limits. Marketers should stop thinking of the two as one and the same and consider the mobile searcher as having more diverse needs.

 

Mobile Web Versus Web Queries

 

Any keyword tool on the market is only able to give relative search volume, and the Ad Intelligence tool provides impression data for an engine with roughly 13% market share, so the following should be taken for what it’s worth.

 

Nonetheless, comparing web search volume to mobile web search volume gives marketers some insight into the difference between computer-based queries and mobile search queries.

 

Of the queries with more than 30% of the MSN monthly search volume, nearly 70% are related to mobile content.

 

Of those that aren’t mobile-specific, the queries “scarlet johansson” and “spider-man 3″ are unconventional spellings of popular entertainment keywords with almost as much volume as MSN Live Search.

 

The query “sports” has almost 65% of the total web search volume with nearly 215k impressions in the month of September on AT&T’s proprietary engine alone. With other non-mobile-specific queries like “answer”, mobile search volume for the month of September nearly equals its total web search volume.

 

Best Practices for Marketers

 

    * Popular keyword tools like WordTracker and KeywordDiscovery should always be taken with a grain of salt when used to represent absolute search volume, but this is especially true with mobile keywords, which can differ in volume estimates by as much as 6149% from their web counterparts. When doing mobile keyword research and using web keyword tools, it is recommended that the researcher filter the keyword list by characteristics of mobile queries.

    * Not only can popular mobile subjects pull as much or more traffic in the mobile space as on the Web in general, but much of the traffic appears to be coming from mobile search. Optimizing a relevant site for high traffic keywords will likely lead to an increase in mobile search traffic.

 

Conclusion

 

Though not intended to be the last word on mobile keyword research, this study should provide marketers with a few best practices related to mobile search keywords that can lead to increased visibility in the mobile engines.

 

In the near future I’ll be posting an overview of various methods for mobile keyword research, which should provide additional tactics for aligning mobile queries with mobile content.

 

(c) 2008 MediaPost Communications Author: Bryan Meunier 

    

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