Activity segmentation is used in gaming platforms to analyze user behavior and distribute players across activity levels. This approach helps to better understand the audience and apply different interaction strategies.
Players can be classified by game session frequency, activity time, number of bets, and other behavioral parameters. This allows you to identify active users, players with low activity and users who have stopped returning to the platform.
The Back-office system allows you to automatically analyze player activity data, form user segments and use them in marketing and retention strategies.
JackCode implements activity segmentation systems for gaming platforms, allowing you to analyze user behavior, optimize communication and increase the effectiveness of marketing campaigns.
The main tasks of activity segmentation:
- Player Activity Analysis
- Classification of users
- Identifying active players
- Identify low activity users
- Marketing Campaign Support
- Increase retention strategy efficiency
- Improve user behavior analytics
What types of activity segments are used
| Segment type |
Appointment |
| High Activity Players |
Players with high activity |
| Regular Players |
Regular users of the platform |
| Low Activity Players |
Players with low activity |
| Inactive Players |
Users without activity |
| Returning Players |
Players back on the platform |
| New Players |
New registered users |
What parameters are used to segment activity
| Parameter |
Appointment |
| Session Frequency |
Frequency of gaming sessions |
| Game Activity |
Number of game actions |
| Deposit Activity |
Deposit activity |
| Time Spent |
Time spent on platform |
| Return Frequency |
User Return Rate |
| Engagement Metrics |
Engagement metrics |
What the activity segmentation system controls
| Component |
Appointment |
| User Activity Data |
Player Activity Data |
| Segment Rules |
Segment Rules |
| Behavior Analysis |
Analysis of user behavior |
| Segment Updates |
Updating segments |
| Campaign Targeting |
Using Segments in Campaigns |
| Activity Analytics |
User Activity Analytics |
Activity segmentation typical workflow
| Stage |
Description |
| Data collection |
The system records the activity of players |
| Behavior analysis |
Activity indicators are determined |
| Segment formation |
Players are categorized |
| Using Segments |
Segments are used in marketing |
| Launching campaigns |
Offers are sent to users |
| Analysis of results |
The effectiveness of the strategy is evaluated |
System activity segmentation benefits
| Advantage |
Practical value |
| Accurate understanding of player behavior |
Analysis of user activity |
| Personalized marketing campaigns |
Targeting offers |
| Increase retention strategy efficiency |
Working with different types of players |
| Bonus cost optimization |
Bonuses are given to the right audience |
| Deep user analytics |
Understanding player activity |
Who uses the activity segmentation system
| Participant |
Role |
| CRM Teams |
Create activity segments |
| Marketing Teams |
Use segments for campaigns |
| Analytics Teams |
Analyze player behavior |
| Operations Teams |
Control user activity |
| Product Managers |
Optimize product strategies |
Activity segmentation allows the gaming platform to analyze user behavior, identify different levels of player activity, and apply effective audience engagement strategies.
