aimClear Search Marketing Blog

Deeply rooted in the same keyword research that advises SEM, nestles the discussion of classic query types and user intent. This conversation has bubbled under the online marketing industry for nearly a decade,  continuously evolving in both sophistication and scope.  The reason is obvious. Leveraging search terms common to consumers is only half the battle-  now more than ever it is crucial to understand nodes of user intent before you shove transactional content at merely walk-by traffic.

While this fascinating conversation can be traced back nearly a decade, the concept really gained traction in 2006 with the boom of social media and a new emphasis on the human behind the keywords. Now we’re talking about ascribing intent to “social segments.” Read the rest of this entry »

There has been much written surrounding classic query types. In review, conventional wisdom dictates that there are basically three kinds:

• Informational - suggests the searcher is on the broad quest for knowledge about a topic of interest (medical symptoms, film trivia, tips on housebreaking puppies, etc.).

• Navigational - indicates the searcher is on the hunt for a specific website, usually dedicated to a specific brand (a search for Pepsi usually means the searcher’s destination is Pepsi.com).

• Transactional - connotes the searcher is ready to make a purchase online (typically formatted like so: “buy [product keyword] online”]).

However, things are not always that cut and dry. In these days of four and five word searches, there are subtle shades of intent that aren’t always obvious to the marketer.  For PPC jockeys, spending cold cash to separate out live customers can be a crucial matter of budget.  Let’s take a look at four ways to identify and leverage some subtle intent words out there to help you focus time and money on PPC keywords that should stand a decent better of converting. Read the rest of this entry »

SEO’s cut their teeth in the keyword research process. The first few months of an SEO’s development is often spent in the “saltmines” researching and testing nearly endless variations of words and phrases in Keyword Discovery, Wordtracker and Google’s keyword tool. Are users searching for “trash cans” or “trash bins”? Read the rest of this entry »

These days predictive utilities like Trellian, WordTracker and AdWords are only half the keyword research story. State of the art processes combine these standard search predict tools’ output with “what we already know,” by mashing in site-specific datasets at the keyword level.

Additional keyword data might include statistics culled from organic analytics (KW traffic, conversion, behavior criteria), PPC history (CPC, CTR, conversion, etc…) and SEOmoz’s Linkscape (SEO competitiveness-predict).

We all know it’s theoretically useful to “advise” the keyword selection process by aggregating datasets. Very few SEMs actually pull it off. This article will guide you through the process of using spreadsheets to pilot advanced techniques, for API automation later. Read the rest of this entry »

While classic keyword research counts phrase permutations users search for, Buzz Pocket Mining measures the individual and community-wide social graph. The good news is, incredibly powerful BPM tools are totally free!

“Social graph” simply means categorizing definable pockets of members’ participatory chatter as folks interact, share content, make friends and live lives together. Often expressed by a tag cloud, Buzz Pockets are how we index topical interests, as expressed by users. Read the rest of this entry »