Launching a marketing campaign at the wrong time can be costly. It could mean reaching thousands of engaged players — or shouting into an empty digital space.
Player activity patterns vary widely across countries. These differences are influenced by cultural habits, work schedules, and local events. Yet many operators still rely on general assumptions about prime time.
The Blask team analyzed real-time data from four high-activity markets to highlight these differences. Each market reflects a unique cultural background and time-based behavior pattern. These include Vietnam (Asia), Italy (Europe), Brazil (Latin America), and Nigeria (Africa).
This small-scale study compared player behavior across weekdays, weekends, national holidays, and major sporting events. The analysis was conducted over a limited timeframe. It represents just a snapshot instead of a comprehensive market research while this analysis gives interesting initial insights. The goal is to show that timing patterns do exist. It also proves that gut-driven decisions and one-size-fits-all strategies don’t work across different markets. Blask provides hourly data across 80+ countries with just a few clicks for marketers looking for deeper insights.
The Blask team used their own advanced analytics platform to collect insights on real-time player activity. At the core of this platform is Blask Index, a unique and industry-tailored metric inspired by the Share of Search approach which transforms the volume of search queries, as well as online interest into a precise measure of how many people are actively looking for iGaming entertainment in any given market.
Blask Index is especially effective due to its fast and constant update cycle. Displaying it on interactive charts with true hourly granularity, the platform gathers and processes fresh brand search traffic data hourly. The Blask Index is a useful tool for understanding daily player rhythms. It helps in planning marketing actions and technical optimizations more effectively. With it, identifying the exact hours of increased activity becomes simple.
