Discrepancies between Google Analytics reports for the same website can occur for several reasons, even when the same tracking codes are used. Here are some key factors that may cause differences in reported metrics:

• Sampling: Google Analytics may estimate totals instead of counting every single page view individually when reports pull in a large amount of data. This process, called sampling, can result in slightly different numbers across different reports.
• Different Processing Rules: Google Analytics properties may apply different filters or data limits, which can affect the results even if the same tracking codes are used.
• Custom Events: Event Count can be customized between tags. One account might track custom events and recommended events, which are not standard options, leading to differences in event counts.
• Page Load Timing: If a page loads too quickly or a visitor leaves before the tracking script fully loads, one report might capture the visit while another does not.
• Metric Approximations: Some metrics, such as Views Per Active User, are approximations and may vary across different Google Analytics surfaces.

Google Analytics is best used for identifying trends rather than relying on exact numbers, as minor inconsistencies are a known and common occurrence between different tags or properties tracking the same site.