Traffic Acquisition

The "Traffic Acquisition" dashboard shows where traffic comes from and how each channel performs, analyzing all sessions to identify sources that drive the most valuable interactions.

Understand the dashboard

Metric	Definition
Sessions	A continuous period of user activity. A session begins with a session_start event and ends automatically after 30 minutes of user inactivity (default GA4 setting).
Engaged Sessions	A qualitative session that meets at least one of the following three criteria: Lasts 10 seconds or longer. Contains 1 or more conversion events. Includes 2 or more page/screen views.
Event	The fundamental unit of measurement in GA4. An event captures any distinct user interaction (e.g., button clicks, video plays) or system occurrence on your website or app.

1. Trend Analysis Charts

1.1. Are you maintaining quality as traffic scales?

This chart compares the total volume of Sessions against the Install Rate.

It helps you determine if your conversion efficiency stays consistent even when you experience large spikes in traffic.

1.2. How much of your traffic is actually engaged?

This area chart visualizes the gap between Total Sessions and Engaged Sessions.

A smaller gap indicates that most of your traffic consists of high-intent visitors who are genuinely interacting with your app listing.

1.3. How intense is the average user session?

By tracking Avg Engagement Duration and Avg Event Count, this chart measures how "busy" a typical user is during their visit.

Higher peaks suggest that users are exploring multiple features or reading your content thoroughly.

1.4. Which channels are driving traffic over time?

This chart tracks the performance trends of various acquisition channels (Email, Referral, Paid Search, Organic Search, Direct).

It allows you to see which specific channels are responsible for your traffic growth or decline over a specific date range.

2. Performance Analysis Charts

2.1. Which source/medium best converts intent into installs?

A detailed bar chart that breaks down the conversion funnel (Sessions -> Add App -> Install) for each specific source.

It identifies which platforms (e.g., Google, Shopify,...) are most effective at turning curiosity into a successful install.

2.2. Which types of traffic are brought by source / medium?

This scatter plot compares browsing behavior across different sources.

It helps you see which sources bring high Page Views versus high Scroll Rate, identifying exactly how different types of traffic consume your content.

2.3. How intense is the engagement from each source / medium?

This bubble chart visualizes the relationship between the volume of sessions and the intensity of engagement.

It helps you quickly spot sources that bring both a high volume of traffic and high engagement duration.

By synthesizing the patterns of browsing depth (Chart 2.2) and engagement intensity (Chart 2.3), you can categorize your traffic sources into four distinct Behavioral Focus types. This classification allows you to identify which channels are truly driving value and which ones need optimization:

• Golden Sources: Highly engaged traffic that explores many pages and reads the content deeply.

• Potential Sources: Attentive users who read deeply but only visit a few specific pages.

• Skimmers: Users who quickly click through many pages without actually reading the content.

• Focused Users: Users who visit very few pages and barely scroll, likely looking for a quick answer before leaving.

How Traffic Acquisition data can benefit you

• Optimize Spend & Channel Performance: Identify underperforming channels (e.g., low engagement or sudden traffic drops) and reallocate budget to sources that consistently drive high-quality users.

• Align Content with Channel Behavior: Use browsing and engagement data (e.g., scroll depth vs. page views) to tailor your app listing experience for different traffic sources and improve conversion.