Unleashing the Potential: Benchmarking and Personalizing Social Apps for Growth

Unleashing the Potential: Benchmarking and Personalizing Social Apps for Growth

Introduction:
In the fast-paced world of social apps, growth is the ultimate goal. To achieve success, it's essential to benchmark your app's performance against industry standards and harness the power of personalized AI summaries. In this article, we will explore the key metrics for benchmarking social apps and how personalized AI summaries can enhance user engagement and retention.

Defining Core Metrics:
To gauge growth effectively, it is crucial to define your core metric. For most consumer social apps, the daily active users (DAUs) metric is paramount. The goal is to have users engaging with your product every day, making it an integral part of their lives. However, for apps with a less frequent use case, weekly active users (WAUs) can serve as an acceptable starting metric. Eventually, transitioning to DAUs becomes imperative for securing a coveted spot on the home screen.

Organic Growth and Acquisition Strategy:
Organic growth is the Holy Grail for social apps, as it signifies the product's inherent virality. Users should be motivated to invite their friends, enhancing the overall experience. If a significant portion of users (more than 10-20%) are coming from paid sources in the early stages, it's crucial to reassess your acquisition strategy. No amount of marketing dollars can fix a flawed product. Therefore, ensuring that growth stems from the product itself is vital.

Benchmarking User Growth:
To benchmark monthly user growth in seed-stage consumer social companies, the following benchmarks can serve as a guide:

• OK: 20%
• Good: 35%
• Great: 50%

DAU/MAU Ratio:
The ratio between daily active users (DAUs) and monthly active users (MAUs) provides insights into user engagement and loyalty. Best-in-class social apps exhibit an L-ness curve that "smiles" or has a "crooked smile" skewing right, indicating that users regularly incorporate the app into their daily lives.

L5+ Performance:
For weekly L-ness curves, focusing on L5+ metrics (users in the app at least five, six, or seven days a week) helps identify near-daily use behavior. The benchmarks for L5+ performance are as follows:

• OK: 30%
• Good: 40%
• Great: 50%+

Retention and Cohort Analysis:
Retention is a critical aspect of a successful social app. N-day retention, which evaluates how many users from an original cohort enter the app on specific days, is a primary metric. The benchmarks for n-day retention are as follows:

• OK: d1 50%, d7 35%, d30 20%
• Good: d1 60%, d7 40%, d30 25%
• Great: d1 70%, d7 50%, d30 30%

In most cases, the retention curve starts to flatten between days 7 and 14, eventually reaching a plateau by day 20. For companies transitioning from a tool to a network, weekly retention can be relevant, following the "Come for the tool, stay for the network" framework. The benchmarks for weekly retention are as follows:

• OK: w1 40%, w4 20%
• Good: w1 55%, w4 30%
• Great: w1 75%, w4 50%

Harnessing Personalized AI Summaries:
To enhance user engagement and retention, personalized AI summaries can be a game-changer. Glasp's AI Summary feature allows users to summarize and distill information effortlessly. By leveraging this technology, social app developers can provide users with concise and tailored summaries of relevant content, increasing user satisfaction and encouraging continued app usage.

Conclusion:
Benchmarking social apps against industry standards is crucial for growth and success. By focusing on core metrics, organic growth, retention, and cohort analysis, developers can gain valuable insights into their app's performance. Additionally, incorporating personalized AI summaries through platforms like Glasp can further enhance user engagement and retention. To unlock the full potential of your social app, prioritize benchmarking and leverage AI-powered personalization.

Actionable Advice:

1. Prioritize organic growth: Ensure that your app's growth stems from the product itself rather than relying heavily on paid acquisition strategies.
2. Analyze retention curves: Monitor your app's retention curves closely, identifying when they flatten and plateau. This information can help you optimize user engagement strategies.
3. Embrace personalized AI summaries: Integrate personalized AI summary features like Glasp's AI Summary to enhance user satisfaction and encourage continued app usage.

(Note: This long-form article is a combination of content from "Andreessen Horowitz" and "Ben's Bites.")