The Intersection of AI-Generated Reviews and Building Product Retention

Glasp

Hatched by Glasp

Sep 26, 2023

3 min read

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The Intersection of AI-Generated Reviews and Building Product Retention

Introduction:

In today's digital age, online reviews play a significant role in shaping consumer decisions. However, recent advancements in artificial intelligence (AI) have raised concerns about the authenticity of these reviews. A study revealed that AI-trained on Yelp data can generate restaurant reviews that are nearly indistinguishable from real ones. This poses a threat to the credibility of online review systems, potentially rendering them completely broken. On the other hand, building user retention is crucial for the success of any product or service. In this article, we will explore the common points between AI-generated reviews and building product retention, and provide actionable advice to overcome these challenges.

The Power of Variable Rewards:

Both AI-generated reviews and building product retention rely on the concept of variable rewards. AI-generated reviews were found to have a similar usefulness rating as genuine reviews, indicating that users may not always be able to differentiate between the two. Similarly, highly retentive products engage users by providing variable rewards. These rewards create a sense of anticipation and excitement, encouraging users to continue using the product. Incorporating variable rewards can help overcome challenges in both AI-generated reviews and product retention.

Actionable Advice:

1. Enable Open-Ended Conversations and Interactions:

To enhance user engagement and retention, create opportunities for open-ended conversations and interactions between users. This can be achieved through features such as messaging or community forums. Notify users of incoming interactions, providing them with the dopamine hit that comes from variable rewards. This fosters a sense of connection and encourages users to continue using the product.

2. Establish Turn-Based Structure:

Implement a turn-based structure in your app or platform, where one user is expected to act first, followed by the second user. Notify the first user of the second user's move, bringing them back into the product. This creates a sense of anticipation and engagement, increasing the likelihood of user retention.

3. Offer Personalized Notifications:

Utilize user data to provide relevant and personalized notifications. By understanding the user's preferences and behaviors, you can deliver targeted notifications that add value and enhance the user experience. This strategy works particularly well for marketplace products, where tailored recommendations can drive user engagement and retention.

Conclusion:

The emergence of AI-generated reviews highlights the need for a more robust online review system. However, it also presents an opportunity for businesses to reflect on their approach to building product retention. By incorporating the power of variable rewards, implementing open-ended conversations, turn-based structures, and personalized notifications, businesses can enhance user engagement and retention. While challenges persist in both AI-generated reviews and product retention, it is essential to adapt and evolve strategies to meet the evolving needs and expectations of users.

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