Traffic Analytics is organized into a few views, each reading from your GA4
property. Here’s what each one shows.
Your traffic split across every channel, with AI broken out.
| Metric | What it means |
|---|
| Sessions | Visits to your site. |
| Users | Distinct people who visited. |
| Engagement rate | Share of sessions that were engaged. |
| Bounce rate | Share of sessions that left without engaging. |
| Avg session duration | How long visits lasted on average. |
| Conversions | Completed key events (configurable). |
Pages
Your most-visited pages, and which of them AI tools send people to.
| Metric | What it means |
|---|
| Page views | Times each page was viewed. |
| Sessions | Visits that included the page. |
| Engagement rate | How engaged those visits were. |
| Conversion rate | Share of sessions on the page that converted. |
| Time on page | Average time spent. |
Geography and devices
Where your visitors are and what they use, straight from GA4.
- Geography: sessions and users by country and city.
- Devices: sessions by device type, browser, and operating
system.
Conversions and revenue
What your traffic is actually worth, by platform.
| Metric | What it means |
|---|
| Conversions | Completed key events. You can pick which event counts. |
| Revenue by platform | Purchase revenue attributed to each channel, including AI. |
| Top products | Best-selling products from your store. |
Journeys and funnels
How visitors move toward a conversion.
- Journey: the paths visitors take through your pages.
- Funnels: how AI-sourced visitors progress through your funnel, with
drop-off at each step.
Filtering
Every view can be filtered by date range and by traffic source (all, a
single channel, or AI / LLM only), so you can isolate exactly the traffic you
care about.
All of these numbers come straight from your Google Analytics 4 property
through Google’s read-only API. Rankly groups and labels them, and adds the AI
lens, but the underlying data is your own GA4 data.
