Player Cohort in a Gaming Club
Player Cohort in a Gaming Club
Section titled “Player Cohort in a Gaming Club”Cohort — a group of players sharing a common first-visit period at the club. Cohort analysis tracks how that group behaves over time: how many returned, how their activity changed, how much they ultimately brought the club.
What It Means in Simple Terms
Section titled “What It Means in Simple Terms”When you look at “how many active players in April” — you see a mixed picture: year-long regulars mixed with this month’s newcomers. Hard to tell if it’s good or bad or what changed.
Cohort analysis cuts differently: take everyone whose first visit was in March — the March cohort. Check in April: how many returned? In May? In June? This is the cohort’s retention curve.
Now place the April cohort alongside and compare their curves. If April cohort retained better than March — something changed in the club’s favor. That’s the value of cohort analysis: you see causality, not just numbers.
How IZI Forms Cohorts
Section titled “How IZI Forms Cohorts”IZI automatically identifies each player’s first session and assigns them to a cohort. Standard cohort step — week. Each row in the cohort table = one week of first visits.
IZI calculates per cohort:
- D7 — % returned in first week
- D14 — % returned in first two weeks
- D30 — % returned in first month (details on D30)
How to Read a Cohort Table
Section titled “How to Read a Cohort Table”Color scale in IZI’s cohort table: saturated color = high retention, pale = low. Read by rows (one cohort over time) and columns (one measurement point across cohorts).
What to look for:
- One row noticeably paler than neighbors — something went wrong that week of first visits
- All rows fade starting at the same column — no long-term retention mechanism after N days
- One cohort noticeably darker — a successful mechanism was active during its formation. Reproduce it.
Cohorts for LTV Calculation
Section titled “Cohorts for LTV Calculation”LTV is most accurately calculated through cohorts: take first-visit cohort, sum all their revenue over subsequent months, divide by cohort size. This gives average LTV for that cohort on an N-month horizon.
More accurate than the formula “AOV × frequency × lifetime” because real data includes within-cohort churn, behavioral change over time, and promotion effects.
Related Terms
Section titled “Related Terms”- Retention — primary cohort analysis metric
- D30 Retention — main cohort measurement window
- LTV — accurately calculated through cohorts
- Churn Rate — reverse side of cohort retention
- ARPU — cohort analysis explains ARPU dynamics
Frequently asked questions
What is a cohort in a gaming club?
A group of players sharing a common first-visit period. For example, all January newcomers are the January cohort. Then you track how many returned after 7, 14, 30 days.
Why is cohort analysis useful?
To see player behavior over time, not just a current snapshot. Average D30 across the whole club doesn't show whether this month improved over last. Cohort analysis shows: the February cohort retained better than January's — meaning a change worked.