Live trade scoring
Executed trades, wins and losses flowed from the exchange into Claimr and were scored against the campaign’s rules.
Customer story · Sports prediction markets
A sports prediction-market exchange used Claimr to connect live trades to points, streaks and referrals. About 4,100 participants made 494,000 trades across the six-week season and later activity.
The program at a glance
Link exchange activity to a campaign participant
Apply points, streaks and reward conditions
Update the participant’s place on the leaderboard
Reported campaign outcomes
Volume counts executed buys and sells, not revenue or trader profit. Four anomalous trades are excluded; 158 high-frequency accounts contributed 76% of the remaining volume.
Buy and sell volume reported by the exchange, excluding four anomalous trades.
Trades linked to campaign participants, excluding four anomalous trades.
Participants who placed at least one trade on a linked exchange account.
About $2.0M in the final reported week, compared with $190k in the first.
Share of referred participants who placed a trade; 8% in the other group.
Traders active on at least eight distinct days, not necessarily consecutively.
One sports prediction-market campaign · Six-week season and later activity
The challenge
The exchange had a short tournament window to turn a growing audience into active traders. The program needed to recognize activity on the exchange and give participants reasons to explore markets throughout the season.
Claimr’s role
Claimr co-designed the season and built a custom integration with the exchange’s trade stream. Executed trades and resolved positions arrived through the events API, were matched to linked accounts and updated points, streaks, reward tiers and the leaderboard.
The Claimr setup
Five mechanics connected trading activity, progress and invitations to the same program.
Executed trades, wins and losses flowed from the exchange into Claimr and were scored against the campaign’s rules.
Qualifying trading days earned points. The multiplier stepped up after each full week of consecutive activity and reset after a missed day.
Four winning-trade size tiers, from about $10 to $5,000, determined points alongside the trader’s streak and staking multiplier. The tiers launched during the season.
Holding the exchange’s token in the staking program applied a 1.2× or 1.5× points multiplier.
Quests covered underdogs, live markets, player performance, top-scorer markets, packs and a tournament-winner prediction.
The season timeline
Executed volume grew from about $190k in the first week to $2.0M in the last. Active traders peaked in week four, while volume continued to rise through the final reported week.
The headline total also includes about $11k in later trades, outside the six weeks shown.
| Measure | Before tiers | After tiers | Reported ratio |
|---|---|---|---|
| Daily trading volume | ~$101k | ~$334k | 3.3× |
| Daily active traders | ~405 | ~935 | 2.3× |
| Daily trades | ~6,800 | ~32,400 | 4.7× |
The campaign report’s “after” period covers eight days and overlaps the tournament’s final stage. This comparison does not isolate the effect of win-tier rewards.
Referral participation
Referrers earned 20% of the points their invitees earned. 45% of referred participants placed a trade, compared with 8% of the other group. Referred traders accounted for about $2.2M in volume.
These are observed groups, not a randomized comparison. The difference does not establish that referral rewards caused higher conversion.
From joining to trading
About 30,100 participants joined the campaign, and ~4,100 placed a trade. Among those traders, 69% made their first trade within an hour after joining, and 85% within a day.
Timing describes the participants who traded. It is not the conversion rate of everyone who joined.
Repeat activity
Trading-day streaks and market-discovery quests gave participants ways to progress through the season. About 1,000 traders were active on eight or more distinct days, including roughly 500 on fifteen or more.
Traders active on at least eight distinct days, not necessarily consecutively.
Traders active on at least fifteen distinct days during recorded activity.
Where the volume came from
158 accounts with at least 500 trades each generated 76% of volume. The other roughly 3,900 trading accounts generated about $1.5M. Both groups remain included in the headline total.
76% · ~$4.6M500+ trades per account
158 accounts
24% · ~$1.5MAll other trading accounts
3,914 accounts
Frequency alone does not establish whether an account is automated or abusive. Trading volume is not exchange revenue or trader profit.
Sells made up 39% of executed trades. Buy and sell amounts both contribute to reported volume.
Lessons for another season
A small group generated most of the volume. Evaluate reward caps and diminishing returns alongside the number of participants who meaningfully use the product.
About one in seven participants traded. Track the steps between joining, linking an account and placing a first trade to understand where participants stop.
The win-tier launch overlapped the tournament’s final stage. Plan comparisons that distinguish changes in reward design from changes in audience attention.
Methodology
The supplied campaign report describes the mechanics and launch comparison. Participant and exchange-event exports reproduce the headline volume, trade counts, weekly chart, referral groups, first-trade timing and activity-day distribution. Figures are rounded; percentages use unrounded counts. The customer remains anonymous.
Talk to Claimr about your product events, participant journey and the progression or referral rules that fit your goals.