Understanding player behavior inside the platform requires focused product metrics. These signals show how users move through onboarding, engage with features, and return over time.
In this article, Atlaslive highlights the product metrics that support structured iteration and sustainable platform growth within regulated environments.
ONBOARDING METRICS: CREATING EARLY CLARITY
The onboarding stage determines initial confidence.
Started Registration to Completed Registration Conversion reflects how smoothly sign-ups are completed.
Registration to First Deposit Conversion highlights activation efficiency.
FTD (First Time Deposit) reflects the final outcome of onboarding, the moment a user becomes a paying player.
KYC Completion Rate reflects how naturally compliance integrates into the journey.
Time to First Deposit reveals clarity within early steps.
All onboarding friction ultimately impacts CPA (Cost per Acquisition), increasing the cost required to convert traffic into depositing players.
Strong onboarding minimizes hesitation.
FUNNEL METRICS: MONITORING FLOW
Funnel metrics track progression after registration.
Drop-off Rates expose friction at critical stages. Even minor UX obstacles can reduce forward movement.
Segmented analysis helps teams isolate context-specific issues and detect sudden behavioral shifts tied to updates or performance.
ENGAGEMENT METRICS: TIME INSIDE THE PRODUCT
Engagement metrics show daily usage patterns.
Average Session Duration indicates immersion quality.
Feature Adoption Rates identify discoverability and perceived value gaps.
Together, they explain how players navigate the ecosystem.
RETENTION METRICS: SUSTAINING RETURN
Retention metrics connect experience with longevity.
Retention Rates measure repeat behavior.
Churn Rates, paired with usage data, highlight disengagement causes.
These signals confirm whether onboarding and engagement improvements translate into lasting usage.
A CONNECTED PERSPECTIVE
Dmytro Matiiuk, Head of Delivery at Atlaslive, indicated: “Onboarding metrics show whether the platform creates early momentum. Funnel metrics reveal where that momentum weakens. Engagement metrics explain how players spend their time once active, and retention metrics confirm whether the experience delivers lasting value. When tracked in isolation, these signals can be misleading; when viewed as a connected system, they highlight clear cause-and-effect patterns.”
Together, these metrics support controlled product evolution.
At Atlaslive, Power BI reporting enables operators to monitor conversion, retention, churn, and content performance metrics within a unified analytics framework.
CONCLUSION
In 2026, product metrics serve as structured inputs for decision-making. When analyzed collectively, they reveal how players experience the platform and where focused improvements drive sustainable results.