Riding the Wave of Big Data Innovation

The most successful digital brands today are those that are laser-focused on increasing engagement. Increasingly, that means introducing personalization and recommendation technologies and it is fast becoming a common sight in both e-commerce and publisher websites.

Machine learning personalization provider LiftIgniter, for example, announced recently that it is now providing billions of personalized recommendations each month, and helping companies achieve 20 to 100-percent improvements in click-through rates, engagement and conversion.

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"We are riding a wave of innovations in big data, including discovery of powerful machine learning algorithms. This enabled us to build the kind of personalization system beyond the reach of any but the largest companies, like Google and Facebook," said Indraneel Mukherjee, founder and CEO. "Our technology is critical to anyone who cares about highly engaged, returning and converting users through real-time mass personalization on the Internet."

More from Website Magazine on personalization/reccomendaiton technology:

- Getting Personal with Recommendations

- Personalizing the Content Experience

- Recommending Content With Purpose

- 3 Personalization Platforms to Consider