Maximizing Growth and User Engagement: Benchmarking and Building Social Apps

Maximizing Growth and User Engagement: Benchmarking and Building Social Apps

Introduction:
Social apps have become an integral part of our daily lives, offering various ways to connect, share, and consume content. However, achieving success in this highly competitive landscape requires a deep understanding of user behavior, effective benchmarking, and thoughtful development strategies. In this article, we will explore the key metrics for benchmarking social apps and delve into how Faves, a content curation platform, is revolutionizing the way users discover and share content.

Defining Core Metrics for Benchmarking:
When measuring growth and engagement, it is crucial to identify the core metrics that align with the specific nature of your social app. For most consumer social apps, daily active users (DAUs) serve as an essential benchmark, ensuring consistent usage. However, apps with less frequent use cases can consider weekly active users (WAUs) initially. Eventually, transitioning to DAUs becomes essential for securing a prominent position on home screens and driving organic growth.

Organic Growth and User Acquisition:
Ideally, a significant portion of your app's growth should come organically. This is particularly crucial for social apps that may not monetize immediately, limiting their resources for paid marketing campaigns. Moreover, social apps should inherently possess viral qualities, encouraging users to invite friends and enhance the overall experience. If a substantial portion of users, exceeding 10-20%, are acquired through paid sources at early stages, it may be necessary to reevaluate your acquisition strategy. Remember, marketing dollars cannot compensate for a flawed product, emphasizing the importance of organic growth.

Benchmarking DAU/MAU Ratio and L-ness Curve:
To gauge user engagement, the DAU/MAU ratio serves as a valuable metric. A higher ratio indicates that users are incorporating your app into their daily routines. For benchmarking, an acceptable range for DAU/MAU ratio is 25% for okay performance, 40% for good performance, and 50% or higher for great performance. Similarly, analyzing the L-ness curve, specifically L5+ (users in the app five, six, or seven days a week), provides insights into near-daily use behavior. Aiming for L5+ performance of 30% or higher is considered good, while 50% or higher is considered great.

Retention and Cohort Analysis:
Retention is a critical aspect of user engagement, indicating the ability of your app to retain its users over time. Evaluating n-day retention, focusing on specific time points such as d1 (day 1), d7 (day 7), and d30 (day 30), enables a comprehensive understanding of user behavior. For benchmarking, acceptable retention rates are approximately 50% for d1, 35% for d7, and 20% for d30. Cohort analysis provides a more comprehensive perspective by examining metrics over time, aiming for stable or improving trends in each cohort.

The Rise of Faves: Revolutionizing Content Curation:
Faves, a pioneering content curation platform, recognized the gap in dedicated platforms for link sharing and content recommendations. By recruiting individuals who genuinely care about the content they consume, Faves successfully caters to two significant groups: those influenced by admired individuals and friends. Their invite-only launch in April 2021 allowed them to gather valuable user insights and enhance the app's scalability. The ease of curating content on Faves has contributed to high user activity, as curation is perceived as less intimidating compared to content creation.

Actionable Advice:

1. Prioritize organic growth: Focus on creating a product that inherently encourages users to invite their friends, fostering organic growth rather than relying solely on paid acquisition strategies.

2. Emphasize user engagement: Continuously monitor core metrics such as DAU/MAU ratio, L-ness curve, and retention rates. Aim for benchmarks that indicate active and regular usage of your app to maximize user engagement.

3. Consider cohort analysis: Evaluate metrics over time to identify trends and ensure stability or improvement across cohorts. This analysis provides valuable insights into the effectiveness of your app's features and the impact of updates.

Conclusion:
Benchmarking growth and engagement metrics is crucial for the success of social apps. By defining core metrics, prioritizing organic growth, and focusing on user engagement, social app developers can create a compelling and valuable user experience. Additionally, platforms like Faves demonstrate innovative approaches to content curation, catering to the needs of users who seek curated recommendations from trusted sources. As the social app landscape continues to evolve, staying informed about benchmarking strategies and user behavior trends will be essential for sustained success.