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This article breaks down the importance of focusing on meaningful activation metrics for subscription apps rather than generic metrics like signups or onboarding completion. It explains how to identify metrics that predict user retention and monetization and emphasizes the distinction between initial value and core value in user engagement.
The article discusses the diminishing relevance of follower counts in social media. It argues that true engagement comes from algorithm-driven visibility rather than mere follower numbers, pushing creators to focus on content performance and audience connection.
The article discusses OpenAI's choice to report Weekly Active Users (WAU) instead of Monthly Active Users (MAU) to highlight user engagement and growth. It explores the implications of this metric, particularly in relation to user retention and product saturation, suggesting that WAU can mask deeper issues in user engagement compared to MAU.
The article explores how metrics-driven product development often leads to user frustration, using the example of annoying notifications from fitness trackers. It argues that prioritizing metrics over user experience results in products that become increasingly hostile to users. The author advocates for principles over metrics in design decisions.
The article argues that traditional metrics for measuring success in AI products fall short. It highlights the importance of unconventional metrics, like tracking instances of users saying "Thank You," to better gauge user satisfaction and product effectiveness.
LinkedIn has introduced two new metrics, "Saves" and "Sends," which provide insights into how many users bookmark posts and share them in messages, respectively. These features enhance the analytics available to creators, building on previously announced metrics and aiming to improve the overall user experience on the platform. The rollout of these features is part of LinkedIn's ongoing efforts to support content creators and enhance engagement.
The article delves into the factors influencing Instagram engagement rates, emphasizing the importance of content quality, audience interaction, and optimal posting times. It also provides strategies for brands to enhance their engagement and effectively measure their performance on the platform.