# Traffic Acquisition ### 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.