User Segmentation

Define user segments, simulate distribution, and design targeted product strategies

SegmentCriteriaBehaviorProduct Strategy
Whale (>$1M)
Volume >$1M/monthLow frequency, huge sizeWhite glove, OTC, custom pools
Large ($100K-$1M)
Volume $100K-$1M/monthRegular, moderate sizeAdvanced features, analytics
Medium ($10K-$100K)
Volume $10K-$100K/monthFrequent, mixedCore features, education
Retail (<$10K)
Volume <$10K/monthHigh frequency, small sizeSimple UX, onboarding
Bot/MEV
Automated patternsVery high frequencyAPI access, limits
1K500K
Whale (>$1M)
2%
Large ($100K-$1M)
8%
Medium ($10K-$100K)
25%
Retail (<$10K)
55%
Bot/MEV
10%
$
$
$
$
$

Total Users

50,000

Total Volume

$47.67B

Total Revenue (0.3%)

$143.03M

Avg Revenue/User

$2.9K

Pareto Insight (80/20 Rule)

35.0% of users generate 97.8% of total volume.

Focus product investment on high-value segments for maximum ROI.

User Count by Segment

Whale (>$1M)
1,000 (2%)
Large ($100K-$1M)
4,000 (8%)
Medium ($10K-$100K)
12,500 (25%)
Retail (<$10K)
27,500 (55%)
Bot/MEV
5,000 (10%)

Volume Contribution by Segment

Whale (>$1M)
$12.50B (26.2%)
Large ($100K-$1M)
$21.00B (44.0%)
Medium ($10K-$100K)
$13.13B (27.5%)
Retail (<$10K)
$550.00M (1.2%)
Bot/MEV
$500.00M (1.0%)

Revenue Contribution by Segment (0.3% fee)

Whale (>$1M)
$37.50M (26.2%)
Large ($100K-$1M)
$63.00M (44.0%)
Medium ($10K-$100K)
$39.38M (27.5%)
Retail (<$10K)
$1.65M (1.2%)
Bot/MEV
$1.50M (1.0%)
SegmentUsersUser %Avg TradeVolumeVol %RevenueRev %
Whale (>$1M)
1,0002%$2.50M$12.50B26.2%$37.50M26.2%
Large ($100K-$1M)
4,0008%$350.0K$21.00B44.0%$63.00M44.0%
Medium ($10K-$100K)
12,50025%$35.0K$13.13B27.5%$39.38M27.5%
Retail (<$10K)
27,50055%$2.0K$550.00M1.2%$1.65M1.2%
Bot/MEV
5,00010%$500$500.00M1.0%$1.50M1.0%
Total50,000100%-$47.67B100%$143.03M100%
Practice Project 1.1: DEX User Segmentation Analysis -- All calculations are local and reactive.