> For the complete documentation index, see [llms.txt](https://docs.letsmetrix.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.letsmetrix.com/google-analytics-4/traffic-acquisition.md).

# Traffic Acquisition

### Understand the dashboard 

<table data-header-hidden><thead><tr><th width="178.48345947265625"></th><th></th></tr></thead><tbody><tr><td><strong>Metric</strong></td><td><strong>Definition</strong></td></tr><tr><td>Sessions</td><td>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).</td></tr><tr><td>Engaged Sessions</td><td><p></p><p>A qualitative session that meets at least one of the following three criteria:</p><ul><li>Lasts 10 seconds or longer.</li><li>Contains 1 or more conversion events.</li><li>Includes 2 or more page/screen views.</li></ul></td></tr><tr><td>Event</td><td>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.</td></tr></tbody></table>

#### 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**.&#x20;

<figure><img src="/files/vZK5T77ElGcyM6fbihTd" alt="" width="352"><figcaption></figcaption></figure>

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**.&#x20;

<figure><img src="/files/PMcPKmNOZ4HWTbSnvtXt" alt="" width="352"><figcaption></figcaption></figure>

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.&#x20;

<figure><img src="/files/g1MjqG7W1mt3jErs5Op8" alt="" width="352"><figcaption></figcaption></figure>

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)*.&#x20;

<figure><img src="/files/W5XmwfHjboFvluM1CNxh" alt="" width="352"><figcaption></figcaption></figure>

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.&#x20;

<figure><img src="/files/EeDQmEQI18azAmJTE8iL" alt="" width="563"><figcaption></figcaption></figure>

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.&#x20;

<figure><img src="/files/HfHmoZfLZr2WSUy9Np8O" alt="" width="353"><figcaption></figcaption></figure>

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.&#x20;

<figure><img src="/files/2qNVhlDtGeUCnGv1AS7y" alt="" width="352"><figcaption></figcaption></figure>

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.