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dApp analytics
The depth of web analytics, adapted to on-chain behaviour — and cleaned of the noise that distorts it.
Most blockchain analytics serve investors or compliance teams. dApp builders need something different: how users behave, how many return and how the token economy is moving. Analytics adapts proven methods from web analytics — cohorts, segmentation and multi-layer retention — to the on-chain context.
A DeFi team can see how weekly cohorts interact with liquidity pools; a GameFi studio can follow NFT purchase cycles and player lifetime value. Through the IDE plugin, developers can see these insights while they write smart-contract code.
- Interaction map
- Which contracts and features users touch, in what order.
- Session reconstruction
- On-chain activity grouped into sessions with a 30-minute timeout, merging a person’s wallets through their verified identity.
- Drop-off analysis
- Where users leave: after a first interaction, on gas costs, after a loss, to a competitor or with the seasons.
- Cohorts
- Group users by time (daily, weekly, monthly), by behaviour (first interaction, entry channel) or by value (first transaction size), and compare them with significance testing.
- Core activity
- Daily, weekly and monthly active users and stickiness.
- N-day retention
- The share returning on day 1, 7, 14, 30 and 90.
- Rolling retention
- Retention adjusted for seasonality.
- Net revenue retention
- Value retained from a cohort over time.
Stickiness benchmarks
Measure: Daily (DAU / MAU)
- Good
- Above 15%
- Excellent
- Above 25%
Measure: Weekly (WAU / MAU)
- Good
- Above 40%
- Excellent
- Above 60%
Measure: Active 7 of last 28 days
- Good
- Above 30%
- Excellent
- Above 50%
Measure: Active 28 of last 28 days
- Good
- Above 20%
- Excellent
- Above 35%
Recency, frequency and monetary scores place every wallet in one of six segments, each with a recommended action.
- ChampionVIP programmes, early access and governance incentives
- 5%
- LoyalReward programmes and loyalty tokens
- 15%
- Potential starOnboarding guides and feature discovery
- 20%
- At riskRe-engagement campaigns
- 10%
- SleepingWin-back campaigns
- 30%
- New arrivalWelcome flows and education
- 20%
Wallets that fit no segment, or whose volume cannot be priced, are reported separately as “unclassified” — a data-quality indicator rather than a segment.
Templates exist for all sixteen dApp types. Select a type to see its key metrics.
DeFi metrics
An optimised metric set that reflects how DeFi applications create and lose value.
- TVL change
- TVL to FDV ratio
- Fees relative to TVL
- Average impermanent loss
- Liquidity depth
- Supply
- Circulating, locked, burned and minted supply; top-holder share; concentration indices; vesting unlocks.
- Demand
- Utility rate, buyer and seller balance, and exchange inflows and outflows.
- Economic health
- Token velocity, revenue and earnings multiples.
How often each view refreshes
- Live metrics
- Refresh: Every 5 seconds
- Time-series charts
- Refresh: Every 5 minutes
- Cohort heatmap
- Refresh: Hourly
- Segmentation
- Refresh: Every 4 hours
- Transaction stream
- Refresh: Real-time
Daily summaries, weekly performance reports, monthly in-depth reports, ad-hoc queries and a compliance addendum are available, with exports to CSV, JSON and PDF and delivery by webhook.