What is AI Hyperpersonalization? Advantages, Case Studies, & Ethical Concerns
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What Is AI Hyperpersonalization?
AI hyperpersonalization or AI-powered hyperpersonalization is an advanced form of personalized marketing strategy that uses real-time data and individual journey maps along with AI, big data analytics, and automation to deliver highly contextualized and tailored content, products, or services to the right users at the right time through the right channels.
The Mechanics of AI Hyperpersonalization
Hyperpersonalization using AI starts from data collection and ends in highly tailored user experiences. Let’s get a brief overview of the relevant steps.
1. Data Collection
2. Data Analysis
3. Prediction & Recommendation
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Case Study 2: Entertainment Industry (Netflix)
Netflix has revolutionized the entertainment industry through its use of hyperpersonalization. Former VP of product innovation at Netflix has stated in an interview that:
“If one member in this tiny island expresses an interest for anime, then we're able to map that person to the global anime community. We know which are the best movies and TV shows for people in the world in that community.”
Reportedly, personalized recommendations save Netflix more than $1 billion every year. The company uses AI to analyze a vast array of customer data points, including:
- Viewing history
- Ratings given to different shows or movies
- Time of day when a user watches certain content
By analyzing vast amounts of highly contextualized data, Netflix suggests hyperpersonalized content according to the user’s preference. As a result, 80% of the content hours watched on Netflix come from the recommendation system, while 20% comes from searches.
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Concerns & Ethical Implications of AI Hyperpersonalization
Privacy Issues ...
Consumer Manipulation ...
See the full story here: https://www.unite.ai/what-is-ai-hyperpersonalization-advantages-case-studies-ethical-concerns/
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