Most people assume they know whether a campaign brought in more visitors. What's easy to miss is how long those visitors stayed, and which kind of customer actually grew. Visitor analytics puts both numbers on the same timeline, on the same terms.
The daily dwell-time trend and hourly visitors are read over the same period. Changes you would miss from visitor count alone show up in the dwell curve. The product UI shown is the Korean build.
What it shows
Visitor analytics provides visitor count and characteristics for a set period, along with dwell time and hourly visitor counts, all on one screen. Group the data by week or month instead of by day, and the store's underlying pattern comes through.
If traffic went up but dwell time stayed flat, the ad worked but whatever's inside the store isn't holding that attention yet. Always read the two numbers side by side.
When to use it
Use it to monitor changes in visitor count and characteristics over the long run, and to measure the impact of layout changes or promotions. Day-of-week and hourly patterns also double as evidence for adjusting staff schedules.
A worked example
Here's an example. Say you compare visitor count and dwell time before and after a campaign, and traffic rose but dwell time held steady. That reads as: the ad hit its goal, but the store still lacks something that holds a customer's attention once they're inside. Checking the day-of-week and hourly pattern at the same time gives you a basis for adjusting the staff schedule too.
Which features to read it with
One feature alone rarely gets you to the cause. The pattern that repeats is: overlay a second feature to narrow the cause, act, then re-measure with a third.
- Measure — If visitor count dropped, overlay capture rate to separate a drop in passing traffic from traffic that held steady but stopped coming in.
- Act — Start with whichever side the cause landed on: marketing if it's traffic, the storefront if it's capture.
- Verify — Use purchase conversion to see whether the added visits carried through to a purchase.
Who came, when, and how long they stayed is where every strategy starts. How many of those visitors actually walked in off the street is covered separately in capture rate. Check out visitor analytics in saai insight.
