Behavioral Targeting

Behavioral Targeting is a process used by website owners to improve user experience by delivering the right content/design to the right person at the right time. It does so by recognizing visitors’ information (in the same spirit as Web Analytics tools) and using this information to create a personalized experience.

  • Overview Of Product Recommendation Engines

    Overview Of Product Recommendation Engines

    Product recommendation engines are growing in popularity amongst small and medium-sized business owners who have become acquainted with the success of sites like Netflix and Amazon, which utilize this technique. If you’re not sure how and if a product recommendation engine can benefit your business, read on to understand better what it means and how it can be used.

    Online Behavior - February 19, 2013
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  • Relevance Without The Creepy: A Permission Marketing Approach to Recommender Systems

    Permission Marketing Approach

    Some of us are using adblock because the banner blindness isn't enough anymore. It's an unrelenting war amongst marketers to gain a piece of your attention. So, is the solution to invest in more powerful, better targeted, bunker-busters? Why must the consumer suffer?

    Christopher Berry - October 22, 2012
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  • Staying One Step Ahead with Mouse-Based Targeting

    Staying One Step Ahead with Mouse-Based Targeting

    Businesses are constantly looking for new, more efficient ways to determine their visitors’ next moves in order to know when and how to best engage them. Are they going to continue to hover on this page? View a different product? Or just abandon the site altogether? This article provides some of the answers to these questions.

    Damien Acheson - October 9, 2012
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  • A Sales Channel And A Market Research Tool [video]

    A Sales Channel And A Market Research Tool

    Andrew Bakonyi and Gary Angel discuss the uses of online customer surveys in gaining insights into customers and sales at HP. They give examples of how these surveys have affected company policy, and explain why online surveys are often a better choice than behavioral analytics, particularly for issues of customer analysis and sentiment.

    Online Behavior - September 20, 2012
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  • Simple Optimization Ideas - Real Impact [video]

    Simple Optimization Ideas - Real Impact

    Hila Strong describes the basics of optimization, explaining that the intent of the customer is key, and that ideally, optimization functions to help the customer achieve their goals.

    Online Behavior - August 7, 2012
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  • Innovative Marketing Analytics [video]

    Innovative Marketing Analytics [video]

    Jeffrey Boorjian speaks about the Caesars Entertainment & Total Rewards Program, the challenges to understanding customer behavior, and the tools needed to optimize marketing reinvestment.

    Online Behavior - July 19, 2012
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  • Analyzing Personas Using Advanced Segments

    Analyzing Personas Using Advanced Segments

    A persona is a group of visitors that visit a website, that share a common objective, purpose or background which make them distinct from another group of visitors. Learn how to use this technique to provide a better experience to your visitors.

    Oliver Walker - July 11, 2012
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  • Taking Analytics to the Next Level [video]

    Taking Analytics to the Next Level

    Justin Cutroni, Analytics Advocate at Google, says it's time to 'refresh' the approach to metrics. See how he uses 'events' to change how we gather and analyze data for both informational and e-commerce sites.

    Online Behavior - July 5, 2012
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  • Predictive Intelligence In Digital Marketing [video]

    Predictive Intelligence Comes to Digital Marketing

    Paul Phillips, CEO & Founder of Causata describes the need for a complete system which gathers information from all channels in order to predict, in real time, future customer behavior.

    Online Behavior - June 28, 2012
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  • Marketing Optimization Analytics Maturity Curve [video]

    Marketing Optimization Analytics Maturity Curve

    Mikel Chertudi describes the different levels of analytics maturity; beginner, intermediate, expert, and visionary. For each, he explains what they track, their metrics, the tracking tools, the customer benefit, the benefit to the marketer, and the benefit to the organization. Then he gives an example of how the Adobe site works now that it is optimized by analytics visionaries.

    Online Behavior - May 31, 2012
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