Provider integration
Move from a data map to a validated pilot with your technical team.
PlayerlyWorkspaceFrom an event to the full picture
Game eventspartner_id · visitor_id · game_id
PlayerlyData matchingResult analysisGame · partner · period
Game event inspection
Select a row to inspect its fields14:32:06.108betvisitor-172.00
- partner_id
- partner-01
- game_id
- game-04
- visitor_id
- visitor-17
- event_type
- bet
- amount
- 2.00
- timestamp
- 2026-10-18T14:32:06.108Z
14:32:05.842winvisitor-094.50
- partner_id
- partner-01
- game_id
- game-04
- visitor_id
- visitor-09
- event_type
- win
- amount
- 4.50
- timestamp
- 2026-10-18T14:32:05.842Z
14:32:05.217betvisitor-171.00
- partner_id
- partner-01
- game_id
- game-04
- visitor_id
- visitor-17
- event_type
- bet
- amount
- 1.00
- timestamp
- 2026-10-18T14:32:05.217Z
Event semantics, currency, and duplicate handling are agreed before launch.
Review the data flow
Work with our team to identify where events originate, how games, brands, and sessions are distinguished, and what permissions are needed. Use this data map to choose the integration approach.
Validate in a test environment
Match a set of tagged visits with game sessions. Check missing events, duplicates, timestamps, ordering, and the impact of failures on the game.
Launch a bounded pilot
Record the games, partners, and period. Agree coverage criteria, metric definitions, and stop procedures. Expand after validating results.
See which sources bring your players
Explore real-time game analytics and player attribution across acquisition sources in a demo.
Book a demo