[July 22, 2014]

Testing is Dead: BlueConic Introduces Self-Learning Optimization

BlueConic, the real-time system of online customer engagement, today introduced self-learning optimization, making it faster and easier for marketers to improve online interactions by automatically delivering the best performing messages. With self-learning optimization, marketers no longer need to conduct time-intensive and expensive testing because messages automatically optimize for themselves, increasing conversion rates by up to 80 percent when compared to A/B testing and providing customers with an optimal experience.

For decades testing has been an essential part of online marketing. Marketers can spend weeks or even months conducting A/B and multivariate testing to try to understand the performance of different messages on their website and in other channels. In reality, however, such testing is flawed because it only evaluates the average visitor, requires that brands serve weak performing content and wastes considerable time and money before any optimization can be done. The introduction of BlueConic's self-learning optimization feature removes the need for this time-intensive, costly testing and already starts optimizing during the test period, thereby replacing the principle of testing with optimization altogether.

"Now that optimization has been made so simple, testing is dead," said Bart Heilbron, CEO, BlueConic. "We're entering a new era in customer engagement, one where technology can help marketers generate greater results with less effort. With self-learning optimization, they can now effortlessly serve the right message at the right time to the right customer."

Self-learning optimization works across the wide array of channels on which today's consumers engage with a brand, including websites, mobile, email and apps. Marketers are also able to compare and optimize messages across different channel and content types-such as comparing email performance against banner performance-and target their optimization to specific audience segments (e.g., optimize one banner for regular buyers, and another one for first time buyers). Built directly into the BlueConic platform, the feature is based on a self-learning algorithm and advanced machine learning technology that have already been successfully deployed in a number of other sectors. It is available immediately to all existing BlueConic users.

BlueConic is constantly adding new features to help brands identify, understand and guide customers toward mutually beneficial outcomes. In May, the company unveiled the industry's first customer journey simulation tool that enables marketers to experience and optimize different interactions whenever a customer engages a brand, with additional enhancements to be announced in the months ahead.

Webinar on the Rise of Optimization

The company will host a webinar on the market and technology trends driving the demise of testing and the rise of optimization on Thursday, July 31 at 1:00 p.m. ET. To learn more or to register, visit http://blueconic.com/optimization.

About BlueConic

BlueConic helps brands optimize cross-channel marketing opportunities through improved customer engagement. It offers a SaaS (News - Alert)-based online customer engagement platform that leverages a Big Data profile interaction store and machine learning to help marketers synchronize relevant communications across web, mobile and social channels in real time. More than 70 brands currently trust the platform to solve their customer engagement, channel optimization and permission marketing challenges, including Volvo, ING, Pitney Bowes and others. Founded in 2010, the company is headquartered in Boston, with offices in Europe. Learn more at www.blueconic.com.

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