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 tournament season with ~$6.1M in trading volume
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
From a live trade to visible progress
- Connect the account
Link exchange activity to a campaign participant
- Score the event
Apply points, streaks and reward conditions
- Show the progress
Update the participant’s place on the leaderboard
Reported campaign outcomes
Trading activity, measured beyond sign-up
Volume counts executed buys and sells, not revenue or trader profit. Four trades classified as anomalous in the supplied report are excluded. About 4% of trading accounts contributed 76% of the included volume.
- Executed trading volume
- ~$6.1M
Buy and sell volume reported by the exchange, excluding four anomalous trades.
- Executed trades
- ~494k
Trades linked to campaign participants, excluding four anomalous trades.
- Active traders
- ~4,100
Participants who placed at least one trade on a linked exchange account.
- Final vs. first week’s volume
- ~11×
About $2.0M in the final reported week, compared with $190k in the first.
- Referred participants traded
- 45%
Share of referred participants who placed a trade; 8% in the other group.
- Traded on 8+ days
- ~1,000
Traders active on at least eight distinct days, not necessarily consecutively.
One sports prediction-market campaign · Six-week season and later activity
The challenge
Turn tournament attention into product activity
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
Connect the exchange to the reward program
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
Product events powered the season
Five mechanics connected trading activity, progress and invitations to the same program.
Trading-day streaks
Qualifying trading days earned points. The program recognized recurring activity through configured progression rules.
Win tiers by trade size
Configured reward tiers translated qualifying exchange events into campaign progress. The operator could update those rules during the season.
Token-based eligibility
The program connected token-based eligibility checks to its points rules alongside recorded exchange activity.
Market-discovery quests
Product-discovery quests helped participants explore the exchange through the same campaign journey.
The season timeline
Weekly volume rose throughout the season
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.
189k
Week 1502k
Week 2822k
Week 31.06M
Week 41.48M
Week 52.02M
Week 6The headline total also includes about $11k in later trades, outside the six weeks shown.
185
Week 1442
Week 2770
Week 31,713
Week 41,583
Week 51,386
Week 6Referral participation
15% of participants. About half of all traders
Referral rewards were connected to invitees’ recorded activity. 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
Those who traded usually started quickly
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
A core group traded across multiple days
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.
Traded on 8+ days
Traders active on at least eight distinct days, not necessarily consecutively.
Traded on 15+ days
Traders active on at least fifteen distinct days during recorded activity.
Where the volume came from
A small group accounted for most of the volume
About 4% of trading accounts generated 76% of included volume. Measuring that concentration alongside account counts makes the scale of participation clearer. Both groups remain in the headline total.
76% · ~$4.6M500+ trades per account
~4% of trading accounts
24% · ~$1.5MAll other trading accounts
~96% of trading accounts
Frequency alone does not establish whether an account is automated or abusive. Trading volume is not exchange revenue or trader profit.
Lessons for another season
Measure the breadth of participation as well as volume
Plan for concentrated activity
A small group generated most of the volume. Evaluate reward caps and diminishing returns alongside the number of participants who meaningfully use the product.
Understand the first-action gap
About one in seven participants traded. Track the steps between joining, linking an account and placing a first trade to understand where participants stop.
Separate the mechanic from the moment
Changes in audience attention can affect activity. Plan comparisons that distinguish those changes from the effect of reward design.
Methodology
How to read the results
View sources and measurement details
The supplied report, participant records and exchange-event export support this campaign story. Public figures are rounded and describe observed activity, not an expected trading result or a causal effect of incentives.
- Scope and accounts
- The figures cover a six-week season and later recorded activity. Trading accounts are linked to campaign participant records and are not independently verified unique people.
- Volume and exclusions
- Volume sums the USD size of executed buys and sells reported by the exchange. Following the supplied report, four trades with a reported combined value of about $15M are excluded as anomalous. The included total is about $6.1M across 494,000 trades. The exclusion materially affects the total; these are reported exchange records, not an independent audit of trading activity.
- Volume concentration
- Accounts with at least 500 trades represent about 4% of trading accounts and generated 76% of included volume. They remain in the reported total. Trading frequency alone does not establish automation or abuse. Volume is not revenue, profit or independently verified new capital.
- Referrals and timing
- Referral attribution matches participant-owned links. The 45% and 8% trading rates use all participants in their respective groups. First-trade timing uses traders as its denominator, including a separate category for trades before joining. These observational comparisons do not isolate the effect of referrals or rewards.
- Weekly and repeat activity
- The weekly chart covers six reporting weeks; the overall total also includes later trades. Repeat activity counts distinct UTC trading dates, which need not be consecutive. The final-to-first-week comparison is a description of observed volume, not a measured reward-driven lift or post-season retention.
- Evidence limits
- No additional bot filtering was applied beyond the program rules. Changes in tournament attention and participant mix may affect the results. Hypothetical fee estimates are not reported as actual exchange revenue.
Connect the activity that matters to your program
Talk to Claimr about your product events, participant journey and the progression or referral rules that fit your goals.