In-Session Intent Prediction for Real-Time Personalization

Right Context, Right Message, Right Now.

Businesses today attract more than 100 million unique visitors to their sites every month. However, with online conversion rate at only 3%, converting casual browsers to actual customers is a challenge. While the trend is for companies to invest heavily in customer acquisition, visitors are largely left to their own devices once they arrive on a website site. There is no proactive encouragement from the company to help site visitors move forward in their online customer journey. This approach does not work with new-age consumers who expect brands to know them, understand them, and interact with them as a segment of one.

In this datasheet, we explore how real-time personalization converts online traffic before they leave your site. You will read how:

  • Personalizing customers’ in-session experience deepens engagement
  • ML models predict customer intent and deliver personalization at scale
  • Engaging every visitor with relevance reduces bounce and increases conversions

Download this datasheet to learn how ZineOne’s AI-powered real-time personalization platform is helping companies achieve dramatic increases in conversions with 1:1 in-session interactions.

In-Session Intent Prediction for Real-Time Personalization

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