Getting started

This guide provides practical examples to help you get started with User Analysis. These examples are intended as a starting point.
The tool is flexible, allowing you to apply various filters, segments, and metrics to suit your specific use case. You can explore your data in a SQL-like manner, without writing queries.

Create a Segment of high value purchase users

Step 1: Navigate to User Segments from the left-hand menu.

Step 2: Create a new Segment

• Click the "Create" button (top right)

• Choose "Conditional Segment" from the pop-up. Tip: There are other segment types available (ID, Feature, Indicator). Feel free to experiment based on your use case.

Step 3: Define conditions

• Event condition: In-app purchase
• Aggregation: Total
• Filter: Purchases greater than $20
• Update method: Auto Update

Alternative paths: You can also create value-based segments using custom properties or timeframes depending on your business logic.

Analyze impression revenue for a User Segment

Step 1: Navigate to Event Analysis from the left-hand menu

Step 2: Set Event Indicator

• Event: In-App Ad Impression
• Aggregation: ad_ecpm per user

Step 3: Apply your segment

• In the filter panel select User Segments and choose your created Segment.

Step 4: Click "Calculate"

Check average playtime for a User Segment

Step 1: Navigate to Event Analysis from the left-hand menu

Step 2: Configure event

• Event: Session End
• Aggregation: duration per user

Step 3: Filter by Segment Select your created user segment.

Step 4: Click "Calculate"

Playtime can also be analyzed by session counts or segmented by device type for deeper insights.

Identify users in a Segment

Step 1: Navigate to User Analysis from the left-hand menu.

Step 2: Set Entity and Aggregation

• Entity: Using UserID as user
• Aggregation: Number of Users

Step 3: Apply the desired User Segment

Step 4: Click "Calculate" and explore the list of users by selecting the total count.

Step 5: Click on any user ID to view their event history.

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Combine multiple segments or date ranges to build more complex user lists.

Track Unique purchasers for specific items

Step 1: Navigate to Event Analysis from the left-hand menu.

Step 2: Set Event and Aggregation

• Event: In-App Purchase
• Aggregaton: Unique

Step 3: Use filters to specify the items of interest

Step 4: Enable Group display to see individual data points

Step 5: Click Calculate, and optionally display daily numbers on the graph.

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Try adding geo-filters or platform filters for deeper breakdowns.

Analyze total revenue distribution

Step 1: Navigate to Distribution Analysis from the left-hand menu.

Step 2: Configure Participation Event and aggregation

• Event: In-App Purchase
• Aggregation: pay_amount_usd / sum

Step 3: Define intervals

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Up to 50 intervals can be added.

Step 4: Click "Calculate"

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You can switch between table, line or stacked views using the view selector.

Explore further

This guide shows one way to start working with User Analysis, but there’s no single right approach.
You can explore user retention, funnel performance, monetization by region, and more. Combine filters, segments, and visualizations to build reports that match your goals.

Tips for exploring your data:

• Try different aggregations like sum, average, unique, or per user. Each can highlight a different aspect of the data.
• Use multiple filters together, including time ranges, user segments, and event conditions.
• Choose the right visualization. Tables, line charts, or stacked views, depending on how you want to communicate your findings.
• Set up auto-updating segments to keep reports current without manual updates.