Insights - Cryptique

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.

Use Cases

Product Analytics

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?

Web3 Specific

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?

Marketing

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?

Quick Start

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

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

Apply Filters

Narrow your data:

Filter by event properties
Filter by user properties
Filter by transaction properties

Add Breakdowns

Segment your metric:

By user property (country, plan, etc.)
By event property (chain, token, etc.)
By time (day, week, month)

Choose Visualization

Select the best chart:

Line chart for trends
Bar chart for comparisons
Pie chart for compositions
Table for detailed data

Measurements

Event-Based Measurements

Measurement	Description	Example
Unique Users	Count of distinct users who did the event	”How many users swapped?”
Total Count	Total number of times event occurred	”How many swaps happened?”
Event Property Sum	Sum of a numeric property	”Total volume swapped (USD)“
Event Property Average	Average of a numeric property	”Average swap size”
Sessions	Count of distinct sessions	”Sessions with a swap”

Profile-Based Measurements

Measurement	Description	Example
Profile Count	Count of user profiles matching criteria	”Users with pro plan”
Property Sum	Sum of user profile property	”Total lifetime value”
Property Average	Average of user profile property	”Average wallet age”

Transaction-Based Measurements

Measurement	Description	Example
Unique Wallets	Count of distinct wallet addresses	”Unique wallets transacting”
Total Transactions	Count of all transactions	”Total swaps on-chain”
Transaction Value Sum	Sum of transaction values	”Total ETH swapped”
Gas Sum	Total gas spent	”Gas used by users”

Filters

Filter your data to focus on specific segments:

Event Filters

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

User Property Filters

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

Transaction Filters

Transactions where:
├── contract_name = "Swap Router"
├── AND method_name = "swapExactTokensForTokens"
└── AND status = "confirmed"

See Filters & Operators for the complete operator reference.

Breakdowns

Breakdowns segment your metric by a property value:

Single Breakdown

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

Multiple Breakdowns

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

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

Visualizations

Cryptique offers 9 chart types to visualize your data:

Time-Series Charts

For viewing metrics over time:

Chart	Best For
Line	Trends over time, comparing multiple metrics
Stacked Line	Composition trends, showing parts of a whole over time
Column	Discrete time periods, comparing specific days/weeks
Stacked Column	Composition by time period, part-to-whole by day/week

Comparison Charts

For viewing totals and comparisons:

Chart	Best For
Bar	Horizontal comparisons, ranking categories
Stacked Bar	Composition within horizontal categories
Pie	Part-to-whole relationships, distribution
Cards	Single headline metrics, KPIs at a glance
Table	Detailed data, multiple dimensions, drill-down

Advanced Features

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

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

Time Comparisons

Compare current period to previous:

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

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

Table Features

When using table visualization:

Sorting

Click column headers to sort:

A-Z: Alphabetical ascending
Z-A: Alphabetical descending
Value ↑: Lowest to highest
Value ↓: Highest to lowest

Dynamic Segments

Control how many segments to display:

Show top 5, 10, 20, or all
Automatically updates as data changes

Totals & Subtotals

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

Web3-Specific Examples

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

Wallet Connection Trend

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

Result: See daily wallet connections trend

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

Cross-Chain User Analysis

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

Result: Active users per chain

Best Practices

Start Simple

Begin with one metric and basic filters, then add complexity:

Total swaps (simple count)
+ Filter by chain = "ethereum"
+ Breakdown by token
+ Compare to last period

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

Name Your Reports

Save reports with clear names:

✅ "Weekly Swap Volume by Chain"
✅ "Twitter Campaign - Wallet Connections"
✅ "Power User Transaction Frequency"

❌ "Report 1"
❌ "Test"

Save Report

Click Save after building your report
Enter a descriptive name
Choose visibility:
- Personal: Only you can see
- Team: All team members can see

Add to Board

Click Add to Board
Select existing board or create new
Position and resize as needed

Charts in Cryptique are always part of boards. Use boards to organize related visualizations together.

​Overview

​Use Cases

​Quick Start

​Measurements

​Event-Based Measurements

​Profile-Based Measurements

​Transaction-Based Measurements

​Filters

​Event Filters

​User Property Filters

​Transaction Filters

​Breakdowns

​Single Breakdown

​Multiple Breakdowns

​Breakdown Properties

​Visualizations

​Time-Series Charts

​Comparison Charts

​Advanced Features

​Multiple Metrics

​Formulas

​Time Comparisons

​Cohort Comparison

​Table Features

​Sorting

​Dynamic Segments

​Totals & Subtotals

​Web3-Specific Examples

​Transaction Volume by Chain

​Wallet Connection Trend

​Top Tokens by Swap Count

​Cross-Chain User Analysis

​Best Practices

​Start Simple

​Use Meaningful Comparisons

​Name Your Reports

​Saving & Sharing

​Save Report

​Add to Board

​Next Steps

Funnels

Filters Reference