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Overview

Insights is a powerful and flexible tool for visualizing trends and compositions in your data. Analyze events, cohorts, user profiles, and transactions with a wide variety of chart types and measurements.

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Use Cases

  • How is my WAU (Weekly Active Users) changing over time?
  • How often do users swap tokens? (frequency analysis)
  • What’s the distribution of users across chains? (breakdown)
  • How many transactions were made on Ethereum vs Polygon?
  • How many unique wallets connected this week?
  • What’s the total transaction volume by token?
  • Which chains have the highest user engagement?
  • How has gas spending changed over time?
  • Which campaigns drive the most wallet connections?
  • What’s the conversion rate from Twitter vs Discord traffic?
  • How do different referral sources compare in transaction value?

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Quick Start

1

Define Your Metric

Select what you want to measure. Click Add Metric and choose:
  • Event: Analyze event occurrences (e.g., swap_completed)
  • Transaction: Analyze on-chain transactions
  • Profile: Analyze user properties
  • Cohort: Analyze cohort membership
2

Choose Measurement

Decide how to measure:
  • Unique Users: Count distinct users
  • Total Count: Count all occurrences
  • Property Sum/Avg: Aggregate a numeric property
  • Sessions: Count unique sessions
3

Apply Filters

Narrow your data:
  • Filter by event properties
  • Filter by user properties
  • Filter by transaction properties
4

Add Breakdowns

Segment your metric:
  • By user property (country, plan, etc.)
  • By event property (chain, token, etc.)
  • By time (day, week, month)
5

Choose Visualization

Select the best chart:
  • Line chart for trends
  • Bar chart for comparisons
  • Pie chart for compositions
  • Table for detailed data

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Measurements

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Event-Based Measurements

MeasurementDescriptionExample
Unique UsersCount of distinct users who did the event”How many users swapped?”
Total CountTotal number of times event occurred”How many swaps happened?”
Event Property SumSum of a numeric property”Total volume swapped (USD)“
Event Property AverageAverage of a numeric property”Average swap size”
SessionsCount of distinct sessions”Sessions with a swap”

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Profile-Based Measurements

MeasurementDescriptionExample
Profile CountCount of user profiles matching criteria”Users with pro plan”
Property SumSum of user profile property”Total lifetime value”
Property AverageAverage of user profile property”Average wallet age”

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Transaction-Based Measurements

MeasurementDescriptionExample
Unique WalletsCount of distinct wallet addresses”Unique wallets transacting”
Total TransactionsCount of all transactions”Total swaps on-chain”
Transaction Value SumSum of transaction values”Total ETH swapped”
Gas SumTotal gas spent”Gas used by users”

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Filters

Filter your data to focus on specific segments:

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Event Filters

Events where:
├── event_name = "swap_completed"
├── AND chain = "ethereum"
├── AND amount_usd > 100
└── AND timestamp in last 30 days

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User Property Filters

Users where:
├── plan = "pro"
├── AND country = "US"
└── AND is_web3_user = true

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Transaction Filters

Transactions where:
├── contract_name = "Swap Router"
├── AND method_name = "swapExactTokensForTokens"
└── AND status = "confirmed"
See Filters & Operators for the complete operator reference.

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Breakdowns

Breakdowns segment your metric by a property value:

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Single Breakdown

Total Swaps broken down by Chain:
├── ethereum: 1,234
├── polygon: 892
├── arbitrum: 567
└── base: 445

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Multiple Breakdowns

Total Swaps by Chain and Token:
├── ethereum
│   ├── ETH: 800
│   ├── USDC: 300
│   └── DAI: 134
├── polygon
│   ├── MATIC: 500
│   └── USDC: 392
└── ...

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Breakdown Properties

You can break down by:
  • Event properties: chain, input_token, wallet_type
  • User properties: country, plan, device_type
  • Transaction properties: method_name, contract_name
  • Time: Day, week, month

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Visualizations

Cryptique offers 9 chart types to visualize your data:

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Time-Series Charts

For viewing metrics over time:
ChartBest For
LineTrends over time, comparing multiple metrics
Stacked LineComposition trends, showing parts of a whole over time
ColumnDiscrete time periods, comparing specific days/weeks
Stacked ColumnComposition by time period, part-to-whole by day/week

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Comparison Charts

For viewing totals and comparisons:
ChartBest For
BarHorizontal comparisons, ranking categories
Stacked BarComposition within horizontal categories
PiePart-to-whole relationships, distribution
CardsSingle headline metrics, KPIs at a glance
TableDetailed data, multiple dimensions, drill-down

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Advanced Features

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Multiple Metrics

Compare multiple metrics in one report: 
Metric A: Unique users who viewed pool
Metric B: Unique users who added liquidity
Metric C: Unique users who transacted on-chain

→ See conversion through the journey

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Formulas

Create calculated metrics: 
Formula: (Metric B / Metric A) * 100

Where:
- Metric A = Users who connected wallet
- Metric B = Users who transacted

Result: Wallet-to-transaction conversion rate

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Time Comparisons

Compare current period to previous: 
This Week vs Last Week:
├── Swaps: 1,234 (+15%)
├── Unique Users: 567 (+8%)
└── Volume: $1.2M (-3%)

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Cohort Comparison

Compare metrics across cohorts: 
Swap frequency by user type:
├── Whales (>$10k volume): 12.5 swaps/week
├── Active ($1k-$10k): 4.2 swaps/week
└── Casual (<$1k): 1.1 swaps/week

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Table Features

When using table visualization:

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Sorting

Click column headers to sort:
  • A-Z: Alphabetical ascending
  • Z-A: Alphabetical descending
  • Value ↑: Lowest to highest
  • Value ↓: Highest to lowest

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Dynamic Segments

Control how many segments to display:
  • Show top 5, 10, 20, or all
  • Automatically updates as data changes

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Totals & Subtotals

  • Overall: Total across all segments
  • Sub-totals: Totals within each breakdown group

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Web3-Specific Examples

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Transaction Volume by Chain

Event: Transaction
Measurement: Sum of value (ETH)
Breakdown: chain
Visualization: Bar chart

Result:
├── ethereum: 1,234 ETH
├── arbitrum: 892 ETH
├── polygon: 567 ETH
└── base: 445 ETH

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Wallet Connection Trend

Event: wallet_connect
Measurement: Unique users
Time: Last 30 days, daily
Visualization: Line chart

Result: See daily wallet connections trend

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Top Tokens by Swap Count

Event: swap_completed
Measurement: Total count
Breakdown: output_token
Filter: chain = "ethereum"
Visualization: Horizontal bar

Result: Ranked list of tokens by swap popularity

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Cross-Chain User Analysis

Event: Transaction
Measurement: Unique wallets
Breakdown: chain
Filter: Users where session_count > 5

Result: Active users per chain

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Best Practices

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Start Simple

Begin with one metric and basic filters, then add complexity: 
1. Total swaps (simple count)
2. + Filter by chain = "ethereum"
3. + Breakdown by token
4. + Compare to last period

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Use Meaningful Comparisons

Compare like with like: 
✅ Good: Compare swap_completed across chains
✅ Good: Compare wallet_connect by utm_source

❌ Misleading: Compare daily vs weekly metrics
❌ Misleading: Compare different time periods without normalizing

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Name Your Reports

Save reports with clear names: 
✅ "Weekly Swap Volume by Chain"
✅ "Twitter Campaign - Wallet Connections"
✅ "Power User Transaction Frequency"

❌ "Report 1"
❌ "Test"

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Saving & Sharing

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Save Report

  1. Click Save after building your report
  2. Enter a descriptive name
  3. Choose visibility:
    • Personal: Only you can see
    • Team: All team members can see

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Add to Board

  1. Click Add to Board
  2. Select existing board or create new
  3. Position and resize as needed
Charts in Cryptique are always part of boards. Use boards to organize related visualizations together.

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Next Steps

Funnels

Measure step-by-step conversions

Filters Reference

All filter operators