Ayush Rastogi

Rented Growth

Did Trading Activity Persist After GMX’s Incentive Campaign?

GMX V2, a decentralized exchange for spot and perpetual crypto trading, ran trading incentives funded by Arbitrum. This analysis follows participating accounts after the campaign to see who resumed positive position-increase activity, and how retention differed by prior activity and campaign engagement.

Stack: PostgreSQL · SQL · Dune Analytics · On-chain Analytics · ECharts

Lookback — —
Incentive campaign —
Return window — —

What we are measuring

Campaign cohort

— accounts that opened or enlarged a GMX V2 position during the incentive campaign.

Follow-up

The same accounts followed for the next 60 days after the campaign.

Qualifying return

At least one positive PositionIncrease. Closing an existing position alone does not count.

— 60-day
return rate

—campaign-period trader accounts
—returned within 60 days

Most campaign participants did not return.

Of — campaign-period accounts, — returned within 60 days, producing a — return rate.

How quickly did campaign traders return?

Cumulative campaign accounts returning
Day after campaignAccounts returnedCohort share

Returns were heavily front-loaded.

— accounts had already returned within the first 10 days. That is — of everyone who eventually returned during the full 60-day window. After the first few weeks, additional returns accumulated much more slowly.

Established traders had a 2.1× higher 60-day return rate

60-day return rates by prior activity
GroupCampaign accountsReturnedReturn rate

The campaign population was not homogeneous.

— of campaign participants were newly observed, meaning they had no qualifying GMX activity during the preceding 90-day lookback. Established traders returned at —, compared with — for newly observed accounts, about — higher.

Newly observed accounts were not uniformly low-quality: their post-campaign return rate rose from — among one-event participants to — among accounts with 10+ qualifying campaign events.

Sample size under each bucket: established / newly observed accounts.

Return rate by qualifying campaign activity and prior activity group
Campaign PositionIncrease eventsGroupReturnedCampaign accountsReturn rate

Among newly observed accounts, return was — after one campaign event and — after 10 or more (— as high).

Across — campaign accounts, there were — qualifying PositionIncrease events.

Share of campaign totals. Hover a bar for both measures.

Campaign activity concentration
Account groupShare of qualifying eventsShare of aggregate positive position-size increase

The top 10% of accounts generated — of qualifying PositionIncrease events, while the top 1% alone accounted for — of aggregate positive position-size increase. The top 10% accounted for —.

In other words, — accounts participated, but most measured position-size growth came from a relatively small group of very large traders.

How this analysis works