30% more engagement from an AI recommendation engine
What was the result?
A media company struggling to retain new users deployed an AI recommendation engine on early-session behaviour and timing, lifting new-user engagement 30% and converting more of them into paying subscribers.
This engagement was delivered by GrowthPro Asia AI Consulting as an AI recommendation system engagement.
Client Overview
A media company, heavily reliant on ad revenue from loyal users, faced a critical challenge in engaging new users and converting them into long-term subscribers. Many new users dropped off after the initial sign-up, missing valuable content that could turn them into loyal fans.
Objectives
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Increase engagement of new users by personalizing their experience.
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Convert new users into loyal subscribers.
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Enhance overall user satisfaction and retention.
Challenges
Engaging new users effectively was challenging without advanced technology. Understanding what content new users were interested in and predicting their engagement patterns required a sophisticated approach.
Engagement patterns: Finding out the days and times of the week where specific segment of users were very active.
Solutions
The company implemented an AI-powered recommendation system to personalise the user experience for new subscribers. This system analysed:
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User Behaviour: Types of content new users watched or engaged with during their initial sessions.
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Engagement Patterns: Activity times of new users (time of day, day of the week).
Based on this data, the AI engine recommended highly relevant content to new users, including:
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Similar Content: For example, if a new user reads about marine life, the AI would suggest other content related to nature and exploration.
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Content by Popular Creators: If a new user engages with a specific author or creator’s content, the AI might recommend other works by that creator or similar creators.
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Content Based on Time of Day: If a new user was most active in the evenings, the AI would recommend binge-worthy series or movies for evening viewing.
Results/Benefits
The AI-powered recommendation system delivered impressive results:
- Increased New User Engagement: The system led to a 30% increase in the time new users spent on the platform after signing up.
Boosted Conversion Rate: A significant portion of these engaged new users converted into loyal subscribers, impressed by the personalised content recommendations.