Personalized Experience for Users
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The best way to attract & engage and retain users is to deliver a personalized experience that learns from the user profile, behavioral cues, and the user’s stated choices. With analytics that can track additional dimensions such as quality of engagement, type & topic of content engaged with, channel, campaign & device used for interaction at different times of the day, it is possible to build a high-impact personalization engine that can learn each user’s preferences.
Benefits for the company
For a digital publication with several millions of users every month, personalizing experiences can be a tough challenge, but using explicit user choices and AI-powered analytics, we can bridge that gap.
Feasability
High
Type of expertise/ AI domain
Machien Learning Recommendation Models
Internal data required
User attribute collection, Conversion path recording, conversion success tracking
An AI-powered personalization engine can be useful for:
– Content recommendations to improve recirculation & audience retention
– Reader nurturing to convert to newsletter subscription or paid subscriptions
– Forecasting likelihood to convert for each user & map custom metered paywalls
– Choosing the right channels & timing to surface these alerts – across email, push notifications, web-modals, banners, etc.