LogClip
Platform/Analyze
Audience

Know who shows up.

Behind every session is a person. LogClip profiles your audience — geography, devices, engagement and retention — so you know exactly who you're building for.

/audience
Audience in the LogClip console
Inside audience

Who came, and who came back.

3 stops, each one a real screen from the console.

Engagement

Sessions, people, and how long they stayed

Sessions and people are counted separately, because one person with five visits is not five customers. Under the headline, new against returning per day, and how long visits actually last — a distribution rather than an average that hides both tails.

Sessions and unique visitors counted separately
New vs returning as two daily lines
Time on site in six bands, with the average and the median
/audience
Audience — Sessions, people, and how long they stayed
Where

Every country and region with its own conversion rate

Not where visitors are from, but how each place behaves — volume beside conversion, so a big market that converts badly stops looking like a good one. The same three columns repeat for browser and OS, which is where a platform-specific fault surfaces first.

Sessions, conversion and average time per country
The regions inside them, ranked the same way
Browsers and operating systems, same three columns
/audience
Audience — Every country and region with its own conversion rate
How far, and how often

How far down they got, and who came back

Scroll depth shades each tenth of the page by how many visitors got that far, and marks where the fold really sits. Under it, retention by weekly cohort — acquisition tells you people arrived, this tells you whether they came back.

Scroll captured automatically, as a percentage of the page
Weekly cohorts, per-person where identify() was called
An average row for the site, and Analyze to have the AI read it
/audience
Audience — How far down they got, and who came back

Everything under audience

Who your visitors are, where they come from, how engaged they are, and whether they ever come back.

01

People, not just sessions

The headline counts visits and the people behind them separately, and the return rate is the share who had been seen before.

02

New vs returning, per day

Two lines across the window, so a launch or a campaign shows as new visitors and a good product shows as returning ones.

03

Time on site

Session length in bands from under ten seconds to over ten minutes, with the average and the median side by side.

04

Countries and regions

Sessions, conversion rate and average time per country and per region, so a market that converts badly is visible.

05

Browsers and operating systems

The same three numbers per browser and per OS — the place a platform-specific bug shows up first.

06

Scroll depth

How far down each page visitors got, in 10% bands with the average fold marked.

07

Weekly retention

Each week's new people and the share who came back in the weeks after, keyed on the signed-in user where known.

08

Bounce, honestly labelled

Share of single-page sessions — and a note that it means little on a single-page app, where time on site is the number to read.

09

Device models and app versions

For native mobile sources, the breakdown by device model, OS version, app version and SDK version.

Audience

Why it matters.

01

Engagement, not just visits

Session duration distribution, pages per visit and bounce rate show how deeply people actually engage.

02

Geography & tech

Break down sessions by country, region, browser and OS — each with its own conversion rate.

03

Retention cohorts

Weekly cohorts reveal how many first-time visitors come back — the truest signal of value.

How it works

Minutes, not quarters.

Step 01

Nothing to set up

Every number is derived from sessions already recorded; identify() upgrades retention from browser to person.

Step 02

Find the odd one out

A country, a browser or an OS whose conversion rate sits below the rest is where to look next.

Step 03

Watch a cohort return

The retention grid says whether the people you won this week are still here next month.