Overview
This document explains how data counting works in our Landing Page Insights/Report feature. All count metrics and data displayed in these reports follow the same counting methodology.
How Data Counting Works
Our system uses daily unique counting with aggregated totals:
Daily count = unique occurrences per day (multiple occurrences on the same day = counted once)
Multi-day totals = sum of daily unique counts
This methodology applies to all count/data metrics in the Landing Page Insights/Report, including:
Visitors
Sessions
Added to cart
Any other count-based metrics
Example: Visitor Count
Let's illustrate this with visitor counting. If the same person visits:
3 times on Monday → counts as 1 visitor for Monday
2 times on Tuesday → counts as 1 visitor for Tuesday
1 time on Wednesday → counts as 1 visitor for Wednesday
Total Result: This person contributes 3 to our total visitor count (1 per day × 3 days), even though it's actually just 1 unique person across the entire period.
Universal Application
This counting method applies to any insight/report where we show day-wise data. The same logic applies: daily unique counts are summed together for the total.
Single Day Data Accuracy
Important: When viewing data for one day at a time, the numbers should be approximately the same as what you see on Shopify, since we're looking at unique occurrences within that single day period.
Special Case: Intent-Based Data Division
When data is divided by intent levels:
No intent = 0
Low intent = 1
Medium intent = 2
High intent = 3
If the same visitor comes three times in a day, each with different intent levels, the visitor count will add up to 3 (one count for each intent level), rather than being counted as 1 unique visitor for that day.