Explore player analytics and attribution
Explore the journey from traffic source to in-game activity. Choose a question and see which metrics inform the next decision.
PlayerlyWorkspaceActivity by source
18 October · 00:00-23:59 UTC
- Players
- 38
- Sessions
- 51
- Spins
- 1 426
- GGR
- €470
Player sources
Unique players in the selected period.
12-18 October · UTC
- Players
- 240
- Sessions
- 312
- Spins
- 8 790
- GGR
- €2 840
Player sources
Unique players in the selected period.
What are my players doing right now?
Start with a game and a time window. Compare players, sessions, and spins, then review bets and payouts. GGR is bets minus payouts within the same window.
Players, sessions, and GGR in one view
In the product, analytics updates as events arrive. The provider explores activity by game, casino brand, and GEO, then adds the acquisition source to assess campaign performance.
Which campaign brought this player?
The source tag connects a campaign to the game launch. Check the identifier, first-event time, and session link. That connection lets you evaluate subsequent game activity by source.
Connect game activity to its acquisition source
Group acquired players by channel, campaign, and partner. Compare those groups' activity, returns, and GGR to understand which sources deliver in-game results.
Who should you evaluate for scaling?
Compare sources within the same game, country, and acquisition week. W1 return is the number returning in the following week divided by the starting cohort. Both observation windows must be complete.
Check traffic cost and mix
A higher return rate is a reason to investigate a source. Compare costs and event coverage, then repeat with the next cohort. A return-rate difference alone does not establish higher profitability.
Can you compare two countries?
Country A has a completed cohort of 320 players. Country B has 86 players and only part of its return window. Comparing final percentages would be premature.
First compare comparable cohorts
Wait for B's window to complete and check game, source, and coverage. Country differences cannot automatically be attributed to market attractiveness.
What is behind a launch decline?
If launches decline at one brand, compare other brands for the same game and period. A local change and a broad decline call for different checks.
Check availability and event delivery
First rule out missing data and traffic-volume changes. Then check game availability and placement. One signal does not prove removal from the lobby.
What the tour demonstrates
See how a provider follows current activity, links a player to a source, and compares campaign outcomes. Choose a scenario to explore the question it answers.
From analytics to the next test
Differences do not prove causation. Real analysis needs traffic cost, cohort size, event coverage, and repeatable observations.
Explore your goals with Playerly
Explore the right scenario for your games or traffic sources: player analytics, attribution, and collaboration between providers and affiliates.
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