There’s no denying that the main objective for any e-commerce sales or retail marketing executive is to maximize the total value of visitor traffic on their site, simply put— turning web browsers into buyers and clicks into cash. Search is certainly leveling the playing field as well, so how do companies stand out from the crowd? And why are some sites still failing to deliver compelling and relevant content to their customer base?

In today’s saturated marketplace, retailers can no longer rely on the traditional marketing techniques and media vehicles to manage customer interaction and drive home sales. In order to achieve greater web interaction optimization, e-commerce and retail sites must recognize the inherent value of social behavioral merchandising and effectively increase the relevance of communications by automatically promoting the most relevant products to each visitor, thereby maximizing conversion rates and average order values.

By making websites more customer-centric via these “recommendation engines,” retailers can essentially optimize customer interaction through improved content and messaging based on a customer’s specific needs and behavioral patterns.

We all know who Amazon.com is. Besides the millions of SKUs at Amazon.com, the site is easy to use and “steers” browsers in the right direction when they need help (recommendations, user reviews, etc.). The addition of recommendations from other customers can build a sense of trust and community between new and returning customers—and probably better than any 17-year old working the floor at Border’s Books.

Given the wide variety of tools available in the market, online retailers must familiarize themselves with the different points of customer contact and approaches towards reaching interaction optimization. The Customer Interaction Cycle, shown below, depicts the many different points—from initial landing page through transaction—where collective intelligence can be applied to maximize value.

Rolf Elmer is CEO of Avail Intelligence

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