Since the beginning of the advertising age, the basic premise of advertising has been the same: create an ad and put it where people who you think will buy your products will see it. As advertising evolved, the methods to do this became increasingly more sophisticated through demographic profiling and focus-group testing while the range of advertising medium grew to include, print, television, radio and other new means of dissemination. However, despite these advances in advertising medium and technique a fundamental problem still existed: once initial assumptions were made, content was created, and advertising buys were executed, an advertising campaign was a largely static, impersonal, one-way method of communicating to potential customers.
In the mid-90′s, as the Internet became a growing force in communication with the general population, advertising once again took a fresh toehold. Like print and television before them, initial forays into online advertising were clumsy, poorly targeted, and largely static. Early banner ads assaulted website viewers with irrelevant content that neglected their interests or preferences.
Fortunately, the web continued to evolve, and as one of the primary revenue generators, advertising was often on the vanguard. Today we enjoy an online experience that is vastly different that the one that existed even five years ago. Content is far more dynamic, and through profiling techniques, web pages can be automatically tailored to specific readers on the fly.
And of course, advertising is at the forefront again through retargeting. Retargeting, in its simplest form, refers to the practice of serving advertising based on previous user behaviour to create a more relevant user experience (and, ultimately, more effective return on advertising efforts). Through retargeting, advertisers can ‘learn’ user preferences in order to more effectively target advertising inventory to achieve both higher passive engagement (impressions) and higher active engagement (e.g. clicks or conversions).
For example, on an automotive news website, a user is presented with two ads for automobiles: a black sedan and a blue truck. The user clicks on neither. On the following page, the advertiser presents the user with a different range of ads: a white convertible and a red van. The user takes an action on the white convertible (for example, roll-over the ad to expand it). Based on the preference for the white convertible, on the following page the user is presented with two different ads for white convertibles: one domestic and one import. The user clicks on the ad for the foreign make and continues down this avenue. In this case, the end result (user clickthrough) would have likely not have occurred if ads were randomly selected. However, through analyzing user behaviour and retargeting ads as the user navigates, the advertiser is better able to gauge user interests and tailor advertising content to better suit the users preferences.
Through retargeting, the advertiser (and website) are able to provide more interesting, relevant advertising content which leads to the user taking the desired action. Retargeting allows both websites that host (and are paid by) advertising and advertisers to maximize the number of effective impressions and ultimately achieve higher click through and conversion action rates, leading to greater exposure and sales.
As an advertising platform, AffinityClick takes the concept of retargeting one step further. Our approach is to analyse publisher content and match content keywords to advertising for optimal placement of ads. We further refine this placement by using aggregate network behaviour data and [anonymous] user session data to retarget ads for even greater efficacy and user relevancy.
The results of retargeting: greater revenues for websites with advertising (especially if they are paid on a Cost-per-click basis). Advertisers enjoy greater return on investment for pay-per-click campaigns through more engaged clicks while minimizing poorly matched positioning which chews through impression budgets. And for users, it ensures that advertising content is more topical and interesting and less distracting to them for a more useful browsing experience.

