The pixel flag
A customer back on homerskeltonford.com, and the car on their screen. Page 03.
Demo data
Every one of these is a real person on 's website , identified by the Leads Avenue Pixel with a name, a home address and a way to reach them.
0Shoppers identified today
When each shopper was identified · one square eachBrighter = further into the inventory
Top leads to export
Journeys
Each row is one shopper's visit, minute by minute. Yellow tags are the vehicles they opened. A diamond with minutes under it means they sat on that page that long before moving to leave.
Order
Order
Desk log
Every identified shopper, newest first: the page they were on, the page before it, and how they reached the site. Select a shopper for the full record.
Read it like the showroom desk log. Who came in, when, what they were looking at, and how far they live from the lot.
Got as far as
Came from
Leads collected
| Shopper | Looking at | Came from | Reach · CRM |
|---|
No shoppers match these filtersClear a filter or the search to see everyone.
Vehicles they opened
Every listing a named shopper opened, read from the vehicle page address. Each one links to the live page on .
These are units on your lots with a named shopper attached. When two different people open the same unit, it rises to the top.
| Vehicle | Lot | Opened by | Views | Listing |
|---|
Makes in play · shoppers
Lots they looked at · shoppers
What they searched for
0
shoppers sorted the inventory by lowest price first.
Where they live
Home ZIP on each shopper's record, with straight-line miles from the ZIP center to the nearest store.
The close-up shows the trade area. Everyone else is a drive-in shopper, which is useful for follow-up and delivery offers.
Shoppers' home towns · miles to nearest
How they found the site
From the tags on each visit's landing page and the referring site. Listing sites and AI assistants show by name whenever their links carry a tag or a referrer. Left: where the first visit came from. Right: the page the shopper was on when identified.
Google is doing the heavy lifting. The Business Profile listing and Google Ads account for most of the entries we can see.
Google Ads campaigns seen
| Campaign ID | Landing | Shoppers |
|---|
Already on the site
Where the first visit started · shoppers
Arrival signals
Return visits
What this data covers
How complete the records are, which values are read directly from the pixel, which are worked out from them, and what the pixel doesn't capture.
Every number on this desk comes from the pixel records. Nothing here is modeled or estimated.
Filled in, of shoppers
Observed
- Name, home address and household details
- Phone numbers with a DNC status on each
- Email addresses, with the verified ones marked
- Every page view with its time, plus scroll depth and exit signals with seconds on the page
- Employer and title where known
Worked out
- Vehicle: year, make, model and lot, read from the listing address
- Got as far as: the deepest page type anywhere in the visit
- Breaks: 5+ minutes with no events and no exit signal covering the time
- Came from: ad click IDs,
utmtags and the referrer on each visit's first page. A new visit starts after 30 minutes with no activity - Miles: ZIP center to the nearest store
- Name check: whether an email or profile repeats the name
Not in pixel data
- Credit range. It comes from Leads Avenue enrichment, for shoppers with a verified personal email whose skiptrace record carries their own name
- Anonymous traffic, so there's no match rate here
- Clicks, form fills and calls
- Journeys for shoppers identified after the last event export