While known for virality, Zynga's core success metric was Day 365 retention. This long-term focus forces teams to build durable value and answer 'why would someone use this in a year?' This creates a more resilient product than those chasing short-term growth hacks.

Metrics like product utilization, ROI, or customer happiness (NPS) are often correlated with retention but don't cause it. Focusing on these proxies wastes energy. Instead, identify the one specific event (e.g., a team sending 2,000 Slack messages) that causally leads to non-churn.

As commercial enterprises, dating platforms are incentivized to maximize user engagement and retention. A user finding a successful, long-term partner means losing a customer, creating a fundamental conflict of interest with the user's ultimate goal.

Bumble is shifting its focus from "finding your person" to "finding your people." The new "friends first" strategy aims to build community and facilitate group interactions, believing that friendship is the foundation of love. This reduces the pressure of one-on-one dates and creates more natural pathways to romantic connections.

Contrary to their purpose, dating apps often diminish the quality and quantity of meaningful relationships. Many users engage for validation and boredom rather than genuine connection, creating a demoralizing, high-volume, low-conversion environment that leads to burnout for those seriously seeking a partner.

Unlike passive consumption apps, where getting many users to try a feature once is key, high-intent products like Google Search measure success by user intensity. The critical question is not "how many people used it?" but "are individual users using it more intensely over time?"

Contrary to their marketing, dating apps are financially incentivized to keep users single and swiping, not to help them find a long-term partner. Their business model thrives on user churn within the dating pool, not successful exits from it.

Raw engagement metrics are misleading. A feature with low overall usage might be indispensable for a small but crucial user segment. Understanding qualitative context is more important than just tracking quantitative numbers like daily active users or time-on-page.

Don't jump directly to optimizing for high-level business outcomes like retention. Instead, sequence your North Star metric. First, focus the team on driving foundational user engagement. Only after establishing that behavior should you shift the primary metric to a direct business impact like revenue or retention.