RoChartdocs
People

Cohorts

Build dynamic and static cohorts and use them in insights, flags, experiments and feedback.

A cohort is a named group of players, such as power players, new players, Premium players or repeat buyers. Define it once and reuse it everywhere: as a filter, a breakdown, a flag target or an experiment segment.

DynamicStatic
Who's inEveryone who matches your rulesA fixed list you add people to
Changes on its ownYes. People join and leave as they behave.No
Good for"Bought something at least twice in 90 days"Testers, moderators, a list of UserIds

A third type, SQL, holds anyone a saved query returns (see below). Pick the type from the three cards at the top of the cohort page. You can switch an existing cohort's type too. RoChart tells you what you'd lose first: switching a dynamic cohort to Static keeps today's members as a fixed list and drops the rules, and switching to Dynamic replaces the list with rules. Nothing changes until you save.

Build a dynamic cohort

People → Cohorts → New cohort. Name it, keep the type on Dynamic, and choose whether people must match all or any of your rules (click the word to switch). Add rules with + Property, + Behaviour and + In another cohort:

  • Property: country equals DE, platform is one of Phone, Tablet, premium equals true.
  • Behaviour: performed (or did not perform) an event at least N times in the last N days. Click Total of a property to add a sum, such as total $robux ≥ 500. You can also limit which events count, such as only $product_type = game_pass.
  • Cohort: in or not in another cohort.

Each rule shows how many people are left after it, so you can see which rule does the narrowing. The Right now panel updates as you type, before you save: how many people match, their share of everyone, and a few of them (click one to open their profile). Save with Create cohort (or ⌘S). For a saved cohort the panel also says when it was last calculated; click recalculate to refresh it.

Some examples:

CohortRules
Power playersPerformed $session_start at least 10 times in the last 14 days
Tutorial finishersPerformed tutorial_completed in the last 7 days
Repeat buyersPerformed $purchase at least 2 times in the last 90 days
Big spendersPerformed $purchase with total $robux ≥ 2,000 in the last 90 days
Lapsed playersPerformed $session_start in the last 90 days, and did not perform it in the last 14 days
Premium playersPerson property premium equals true

Time windows are counted back from today, so membership changes over time. A power player who stops playing drops out after 14 days.

Combine cohorts to keep rules short. For example, build Paying power players as in Power players and in Repeat buyers. A cohort can't include itself.

Build a static cohort

Choose Static when you create it, and paste the initial members: one UserId or username per line. You can paste a spreadsheet column, because commas and tabs also work. People who can't be found are skipped.

Later, use Add people to paste more, remove people from the member list, or click Add to cohort on someone's profile.

Build a cohort from SQL

When a rule is easier to say in SQL, write it once in the SQL Editor and save it. The query needs a person_id column:

SELECT person_id
FROM events
WHERE event = '$session_start'
GROUP BY person_id
HAVING min(timestamp) >= now() - INTERVAL 14 DAY -- first played in the last 14 days

Then either choose SQL when you create a cohort and pick the query, or open the query and use ⋯ → Use with people → Create cohort. Members are the people the query returns. They're recalculated every hour, whenever the query changes, and when you click recalculate. A SQL cohort works everywhere other cohorts do.

Use a cohort

WhereHow
InsightsAnalyse on the cohort page opens a trend for its members. In any insight, filter by cohort or break down by cohorts to compare them.
AgentsAsk about one cohort, for example "how long do repeat buyers play per day?" Agents can filter any insight query by cohort.
Feature flagsTarget a flag at the cohort, or at everyone not in it. See Feature flags.
ExperimentsReport results per cohort. See Segments.
FeedbackRead only what one cohort is saying.
PeopleFilter the persons list to the cohort.

Editing a cohort's rules applies everywhere from the next chart on. Flags pick up membership changes within about five minutes.

Delete a cohort

Use the ⋯ menu. A cohort that an experiment reports on can't be deleted, so remove it from the experiment first. Filters and flag rules that used a deleted cohort match nobody.

On this page