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Mobile Searcher Behavior Should Drive Design & SEO

Learn characteristics of mobile searches and get resources to help you build a better mobile user interface (UI).

Mobile search behaviors image

To better understand mobile searcher behaviors, researchers who work at universities and the commercial web search engines use a variety of methodologies.

One common methodology is a large-scale log analysis. Log file data provides a large amount of information within a specified period of time. Log file data can tell us: 

  • What people search for
  • How people search, and
  • How searchers interact with search engine results pages (SERPS)

In This Article

The Missing Ingredient: WHY People Search

Log file data does not tell us why people search—searcher goals and the intentions behind their keywords (query words). Other methodologies, such as usability testing and diary research, reveal information about user/searcher goals and motivations.

With usability testing, researchers can determine a number of items such as:

  • Whether or not test participants complete their desired tasks
  • If participants were able to complete their desired tasks, how efficiently they were able to complete it (time, number of steps, keystrokes, etc.)
  • Roadblocks encountered
  • Possible workarounds (error prevention)
  • User satisfaction

Diary studies are methodologies in which participants record the dates, times, location, and context of search tasks.

These three methodologies combined (log file data, usability testing, diary studies) have revealed some noteworthy differences between mobile searcher behavior and desktop searcher behavior.

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Characteristics of Mobile Searchers

With mobile devices, the searcher’s context heavily influences informational needs. For example:

  • Where is the searcher located?
  • What is the searcher doing at the time that the information need arises?
  • Who is the searcher talking to?
  • Does the searcher need the information now or later?
  • What information does the searcher need in order to complete his or her desired task?

Location and time limitations (context) heavily influence mobile search queries.

What are some examples of geographical influence? Sometimes, the mobile searcher wants to find a physical location and directions to that specific destination. Mobile searchers often want information about something near the vicinity to where they live or work.

And the answer to a question depends on the searcher’s physical location, such as, “Where is the nearest Japanese restaurant?” or “What is the fastest way to get to O’Hare airport?”

I admit that I was a bit surprised by one of the most popular mobile query types: trivia. Trivia can be categorized as an informational query (quick fact). These types of queries often arise based on social interaction—the people a mobile searcher is talking to at the time of the mobile search query.

When you are optimizing your site for mobile search queries, here are some things to consider putting on your site and on local search listings:

  • Directions
  • Photos (of the entrance to your physical location)
  • Points of interest
  • Business hours
  • Phone number
  • Quick facts

One of my physician clients in a large city had a novel approach to both local and mobile search. He put maps and directions to the nearest parking garages to his office. Not only did these pages help his site for mobile and local search, it also helped his organic search listings as well as increased his brand and credibility.

Also, in terms of search usability, people often overlook the obvious. If a person has a phone, then an obvious item to show on a mobile web page is a phone number. That way, a mobile user can touch the phone number and dial your business instantaneously.

When we build mobile interfaces, we sometimes make different pages for mobile devices than we do for desktop devices. In the mobile user interface (UI), the phone number is featured more prominently.

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Search Engine Visibility

Search Engine Visibility Book Companion Website

When Search Meets Web Usability

When Search Meets Usability Book Companion Site


Search Behaviors and the Mobile Interface

Speaking of obvious, many interface designers and search professionals often forget that the screen on a smartphone is considerably smaller than a desktop screen. Therefore, the amount of information that can be shown on mobile devices is much smaller—not only in terms of search results but also in terms of website content.

How does the smaller interface affect mobile search use?

Migrating from a broad-&-shallow architecture to a narrow-&-deep architecture makes content: (a) more difficult to locate, and (b) more difficult to discover.

For one, it takes longer for a mobile searcher to type in keywords. Therefore, mobile searchers report high satisfaction with the keyword auto-suggest feature. Mobile searchers’ perception is that their task completion is faster with this feature.

As a designer/developer, I understand that it might be simpler to develop a single website and use one style sheet for desktop computers and another style sheet for mobile devices. I tend to recommend adaptive design over responsive design due to a more personalized user experience (UX).

With both responsive design and adaptive design, the website's information architecture and navigation system change. Migrating from a broad-and-shallow architecture to a narrow-and-deep architecture makes content: (a) more difficult to locate, and (b) more difficult to discover.

Therefore, Omni highly recommends working with a skilled information architect that can assist you with:

  • Key usability tests to determine the best narrow-and-deep mobile architecture
  • Modifying the navigation system (including archives)
  • Modifying the labeling system

Remember, search-engine friendly design for mobile devices follows the same 4 SEO principles as desktop computers. However, both the information architecture and the technical architecture should be modifed for mobile devices.

Search engine optimizers, information architects, usability professionals, content writers, and web designers/developers should all be on the same team. One common goal should be to accommodate mobile searcher behaviors.

Get that right? Then you have significantly increased a positive mobile UX.

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References

For those of you who wish to read more about mobile search optimization and mobile searcher research, here are some of my recommended resources:

  • Church, K. and Smyth, Barry (2009). “Understanding the Intent Behind Mobile Information Needs.” In Mobile HCI ’08: Proceedings of the 10th International Symposium on Mobile Human-Computer Interaction, ACM, 493–494.
  • Dong, T., Churchill, E. F., & Nichols, J. (2016, June). Understanding the challenges of designing and developing multi-device experiences. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems (pp. 62-72). ACM.
  • Fowler, A., Partridge, K., Chelba, C., Bi, X., Ouyang, T., & Zhai, S. (2015, April). Effects of language modeling and its personalization on touchscreen typing performance. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 649-658). ACM.
  • Gruenstein, A., Alvarez, R., Thornton, C., & Ghodrat, M. (2017). A Cascade Architecture for Keyword Spotting on Mobile DevicesarXiv preprint arXiv:1712.03603.
  • Guy, I. (2016, July). Searching by Talking: Analysis of Voice Queries on Mobile Web Search. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (pp. 35-44). ACM.
  • Kamvar, M. and Baluja, S. (2008). “Query Suggestions for Mobile Search: Understanding Usage Patterns.” In Proc. CHI 2008, 1013– 1016.
  • Kamvar, M. and Baluja, S. (2007). “Deciphering Trends in Mobile Search.” Computer. vol.40, no.8., IEEE, 58-62.
  • Kamvar, M. and Baluja, S. (2006). “A Large Scale Study of Wireless Search Patterns.” Proc. CHI 2006, ACM, 701-709.
  • Krum, C. (2010). Mobile Marketing: Finding your Customers No Matter Where They Are. Pearson Education.
  • Mendoza, A. (2013). Mobile User Experience: Patterns to Make Sense of It All. Newnes.
  • Sohn, Timothy et al. (2008). “A Diary Study of Mobile Information Needs.” In CHI ’08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, ACM, 433–442.
  • Thurow, S., & Musica, N. (2009). When Search Meets Web Usability. New Riders.


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