7 Ways to Boost Retention (Both Pre- and Post-AI)

TL;DR

Learn about seven effective strategies to boost user retention in AI native products, including speed to core product value, feature-gated onboarding, designing reciprocity, building smart notifications, keeping streaks alive, summarization, and status for power users.

Transcript

my estimate is that on average if you employ some of these combination of these methodologies you're able to move up your what I would I would start with D30 I think you can move that up 10 to 15% W which is which goes from okay on my on my list of like 20% D30 that's like okay that's good to whooping 35% that's exceptional we are seeing in this wa... Read More

Key Insights

• 🥺 Speeding up core product value and utilizing feature-gated onboarding can reduce friction and quickly deliver value to users, leading to improved retention.
• 💁 Designing reciprocity and building smart notifications that provide relevant and useful information can increase user engagement and retention.
• ☠️ Maintaining streaks and leveraging AI-powered summarization can enhance user motivation and understanding, driving higher retention rates.

Questions & Answers

Q: What is the significance of retention for consumer products?

Retention is crucial for consumer products because it leads to higher daily active users and reduces the need for additional ad spend. Without strong retention, a product may struggle to acquire new users.

Q: What is the impact of speeding up the core product value on retention?

Speeding up the core product value improves retention by reducing friction and providing users with the value they seek quickly. Companies like Google have emphasized speed in their products, leading to higher user engagement and retention.

Q: How does feature-gated onboarding impact retention?

Feature-gated onboarding, where users must complete specific tasks to unlock product usage, can lead to higher retention rates. This method filters out users who are less likely to stick around while ensuring engaged and committed users are more likely to stay.

Q: How does designing reciprocity contribute to improved retention?

Designing reciprocity involves creating a give-to-get dynamic, where users must contribute to the product to receive value. This leads to higher retention as users are motivated to continue participating and receiving positive reinforcement for their contributions.

Q: What is the role of smart notifications in user retention?

Smart notifications, when carefully designed and personalized, can improve retention by providing relevant and useful information to users. By enhancing the perceived value of notifications and aligning them with user interests, companies can increase user engagement and retention.

Q: How do streaks impact user retention?

Streaks, when implemented effectively, can enhance user retention by creating a sense of accomplishment and identity. Maintaining streaks requires consistent engagement with the product, and users become more motivated to continue the streak, leading to higher retention rates.

Q: How can summarization improve user retention in AI native products?

Summarization, enabled by AI technologies, can help users make sense of their data and experiences within a product. By providing concise and meaningful summaries, companies can increase user engagement and retention, particularly in areas like journaling or language learning.

Q: What is the significance of status for power users in user retention?

Recognizing and bestowing status on power users can significantly impact retention. By creating exclusive experiences or features for these users, companies can build loyalty and incentivize continued engagement, strengthening overall user retention.

Summary & Key Takeaways

• Retention is crucial for consumer products, and increasing it can lead to significant benefits such as higher daily active users and reduced need for ad spend.

• There are seven effective strategies to improve retention in AI native products: speeding up the core product value, using feature-gated onboarding, incorporating reciprocity, designing smart notifications, maintaining streaks, leveraging summarization, and creating status for power users.

• These strategies have been successful in traditional consumer applications and are now being adopted by AI native products, leading to improved retention rates.