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Analytics

Understand what happens on your pages.

Which pages attract visitors? Where do enquiries or purchases happen? Review your websites and funnels in ONE LOOP by page, date range and visitor segment.

Here’s what you can do.

Three examples show how you can use Analytics.

01

See which pages people visit.

Choose a website or funnel and a date range, then open a specific page or funnel step. See where visitors arrive and which parts of your site receive less attention.

An example website analysis with a date filter, a schematic views trend and separate home and contact page rows, without measured values.
Simplified product example · not a live product view
02

What happens after a visit?

Switch between views, opt-ins and revenue. Opt-ins include recorded actions such as form submissions, bookings or purchases. The rate compares these actions with unique views; it is not simply a count of new contacts.

Opt-ins is selected alongside views and revenue; a note lists forms, bookings and purchases as possible actions. The chart is schematic.
Simplified product example · not a live product view
03

Focus on the visitors you want to understand.

Narrow the analysis to smartphone visits in a particular browser, for example. Combine relevant filters and inspect that segment before changing content or the mobile layout.

An example analytics view combines smartphone and browser filters with AND and shows a schematic trend of filtered page views.
Simplified product example · not a live product view

What this changes for your day-to-day work.

The practical benefits of Analytics.

Improve the step that needs attention

Open individual funnel steps. Review the offer, form and confirmation separately rather than relying on one overall total.

The offer, form and confirmation are reviewed separately, with the form step selected for inspection.

Understand repeat views

Total views include repeat visits. Compare them with unique views to understand whether more views also mean more measured visitors.

A schematic report contrasts repeated page views with a unique visitor count.

Keep orders and revenue in view

For tracked purchases, review orders and revenue. One order containing several items is not the same as several separate orders.

A lamp and chair belong to the same order, with a separate revenue summary below.

Compare equivalent periods

The overview compares your selected period with the immediately preceding period of the same length. Account for campaigns or seasonal effects when interpreting changes.

The current period is compared with the immediately preceding period of the same length.

Investigate mobile issues

Filter by device and browser. Unexpected results help you decide which view to test yourself; they do not replace a functional test.

Device and browser filters point to a smartphone view to inspect.

Simplified examples, not live account data.

What you need to get started.

Check published pages, recorded actions and required consent. Choose the asset type, period and metric deliberately: not every view shows the same values. Advanced filters are not retained after reloading or leaving analytics.

Analytics measures recorded page activity. Attribution explains an individual contact’s source. Dashboards combine metrics, while reports share a defined snapshot.

Availability and any add-on or usage costs are confirmed for your ONE LOOP account before implementation.

Your questions, answered.

Does a page view count as an enquiry?

No. A page view records a visit. Depending on the asset type, opt-ins can include form or survey submissions, calendar bookings and purchases. The opt-in rate divides recorded opt-ins by unique views. It is neither a count of new leads alone nor proof of qualified enquiries.

What is the difference between all and unique views?

All views include repeat visits. Unique views distinguish visitors within the available measurement. They do not guarantee recognition of every person across devices.

Does analytics also show a contact’s source?

This page covers page statistics. Source and campaign mapping for individual contacts is covered separately under Attribution, including first and latest recorded sources.

Why can numbers differ from other tools?

First check the metric, date range and active filters. Time zones, consent and blocked tracking can also cause differences. Complete measurement of every visitor is not promised. An external website additionally needs the appropriate tracking setup; linking to the page is not enough.

See it with your own use case.

Let’s explore your use case and what the setup requires.

Book a demo