Writing · Measuring what matters

Harassed players look like your best-retained users

Pull the raw retention data at most game studios and harassed players look like some of the best-retained users.

They chat more, queue more and play longer, so they run into more abuse. A team that stops there concludes toxicity doesnt hurt retention, and the safety budget conversation ends before it starts.

Studies tell us more.

Take This and Nielsen found 61% of players have skipped spending in a game because of how other players treated them (THATS A MASSIVE REVENUE HIT), and 60% have quit a match or a game over harassment. But surveys rarely move a budget. A studios own data does, if its cut correctly.

The cut that works is a matched cohort. Take new players whose early sessions included an actioned incident, and compare their 7- and 30-day return against new players with clean sessions, matched on playtime, mode, region and platform. Without the matching, the analysis measures engagement instead of harm.

The same blind spot affects enforcement on high-value players. Banning a top spender hits the revenue report the next day, while the players they drove away stay invisible unless someone builds the cohort.

Numbers worth tracking:

- Share of new players whose first five matches include an actioned incident

- D7 and D30 return for exposed new players vs the matched group

- Voice chat opt-out rate in a players first week

etc.

Safety exposure belongs as a standard cut on the retention dashboard, owned jointly by T&S and data teams and reviewed alongside every other churn driver. Surface level metrics don't tell the whole story.

2023 Take This + Nielsen study in comments

#TrustAndSafety #GameDev #Userretention #CommunityManagement

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