Web Analytics

Web Analytics helps you understand how users arrive, browse, and engage on your website. It is useful for monitoring traffic quality, content performance, session behavior, and referral sources in one place.

This page is designed for teams that need both a quick traffic view and a more detailed explanation of how users behave once they land on the site.

Use this page when you want to answer questions such as:

• Is website traffic growing?

• Which pages attract attention?

• Are sessions engaged or shallow?

Why use Web Analytics

Web Analytics gives you a direct view of website behavior inside Netmera. It is especially useful when you want to understand:

• visitor trends,

• page-level performance,

• device mix,

• session quality,

• referrer-based acquisition insight.

Taken together, these metrics help you answer whether traffic is growing, whether users are engaging with the right content, and whether the incoming audience is actually valuable.

Web event definitions

Web Analytics uses standard web events. These events form the basis of the dashboard, so understanding them makes the metrics easier to interpret.

1. First Visit

   • fired when a browser visits the website for the first time

2. Visit Web

   • fired on repeat visits

3. Pageview

   • fired for each page visit in a session

4. Time Spent in Web

   • measures on-site engagement duration

Each event captures a different part of website activity. Together, they let you read new visits, repeat visits, content consumption, and session quality from one reporting area.

First Visit and Visit Web are collected by default. If you also want Pageview and Time Spent in Web, contact your Customer Success Manager.

User & Device

This area shows how many users visited and which devices they used. It gives you a quick answer to both audience size and device mix.

Main metrics:

1. All Users

   • total unique website visitors in the selected range

2. New Users

   • users visiting for the first time

3. Returning Users

   • users who visited before and came back

4. Device Breakdown

   • desktop, mobile, and tablet distribution

If the same user visits from both desktop and mobile, device-level counts can appear in both categories while total users remain unique.

This distinction matters when you compare total traffic with device distribution. A user is still one person, even if that person contributes to more than one device category.

If the selected date range includes today, summary cards include today’s data but graphs only show data up to the previous day.

This area also includes User daily trends, which show how All Users, New Users, and Returning Users change day by day.

The Device share chart shows whether the experience is primarily mobile, desktop, or tablet driven.

Pageviews

Pageviews help you evaluate content interest and landing-page performance. They are useful when you want to understand which pages attract attention and how often users return to the same content.

Main metrics:

1. Pageviews

   • total number of page loads in the selected range

2. Unique Pageviews

   • number of distinct pages visited

3. Pageview Daily Trends

   • daily movement of pageview metrics

Example: if one user opens the homepage 3 times and a product page 4 times, Total Pageviews = 7 and Unique Pageviews = 2.

This difference is important because total pageviews show intensity, while unique pageviews show content breadth. Reading both together gives a more balanced view of content performance.

Sessions

Session metrics help you judge visit quality and friction. They are often the clearest signal of whether traffic is engaged or only passing through briefly.

Main metrics:

1. Session

   • total visits in the selected range

2. Bounce Session

   • sessions shorter than 10 seconds with only one pageview

3. Bounce Rate

   • bounce sessions divided by all sessions

4. Average Session Time

   • total visit duration divided by session count

Sessions are often derived from time-spent events that fire every 10 seconds during an active session.

For example, a high session count with a high bounce rate may suggest landing-page or audience-quality issues, while longer average session time often points to stronger engagement.

Graph settings

You can switch graph type based on the comparison you need. The underlying data stays the same, but the visual form can make certain patterns easier to read.

Use a Line graph when you want to read changes over time more easily.

Use a Bar graph when you want a faster day-to-day comparison.

You can also hover over data points to see exact values and download charts for reporting. This is useful when you need a fast visual summary for internal communication.

Referrer URL tracking

Referrer URL shows the last website a user came from before landing on your site. This is useful for:

• campaign attribution,

• partner traffic analysis,

• referral quality checks.

It helps you understand not only where traffic came from, but also whether that traffic source produced meaningful engagement.

The referrer dimension is available for:

• Visit Web

• First Visit

• Pageview

How to access referrer data

1. Open Event Insight.

2. Select Visit Web, First Visit, or Pageview.

3. Apply the Referrer URL breakdown.

How metrics map to Event Insight

Some Web Analytics metrics can also be traced in Event Insight. This is useful when you want to validate a web metric with event-level detail or continue the analysis with additional breakdowns.

User metrics:

• All Users → Visit Web with Unique User Count

• New Users → First Visit with Unique User Count

Pageview metrics:

• Pageviews → Pageview event

• Unique Pageviews → Page View > By Session with Page URL dimension, then sum the results

Session metric:

• Session → Visit Event with By Session breakdown