Our client is experiencing a high bounce rate due to lack of differentiation in website placement and limited personalized recommendations to readers.
Furthermore, editors manually curate recommended articles, which may result in failure to provide relevant and personalized content.
Auto-ML leverages data and machine learning to offer more personalized content to readers and optimize their experience. It enables our client to reach their readers with the right content at the right time, increasing their engagement, satisfaction and retention.
Auto-ML enables dynamic website placement and article recommendations to increase readers engagement by offering more personalized experiences. Auto-ML efficiently analyzes readers behaviour using various data points to generate data-driven recommendations.
Automated curation of personalized web pages with A/B testing by Auto-ML enables editors to track reader profiles and supports them with a one-stop dashboard overview.
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