The discrepancy in unique user counts between Google Analytics (GA) and Visiopt is primarily due to the differences in how each platform defines and tracks unique users versus sessions. Each tracking tool has a distinct approach, which can lead to variances in user counts.
Google Analytics (GA) and Session-Based Tracking:
Google Analytics relies on sessions to track user activity. Here’s how this works:
Session Start and Expiry:
In GA, a session starts whenever a user arrives on your site, and it can include multiple interactions (pageviews, events, etc.) until it ends. Sessions typically expire after 30 minutes of inactivity or at midnight, and GA starts a new session if the user returns after this period.
Impact on Unique User Counts:
Since sessions expire and restart based on set time intervals, if a user revisits your site after a session has ended, GA will start a new session and potentially count the same person as a new “unique” user.
This can lead to inflated unique user counts, as repeat visits within a new session window are counted as new “uniques” in GA.
Example: A single visitor who comes back to your site twice in one day (once in the morning and once in the evening after the session has expired) would be counted as two unique users in GA, even though it is the same person.
Visiopt’s Approach to Unique User Tracking:
*Visiopt takes a different approach by focusing on true unique visitors rather than sessions:*
Counting a Unique Visitor Only Once: When someone visits a Visiopt-tracked landing page (LP) for the first time, they are counted as a unique visitor.
All subsequent visits by that person are recorded as additional visits, not new unique users.
This means Visiopt maintains a more precise count by treating each user as unique only on their first visit,
regardless of return frequency.*
Impact on Data:
Because Visiopt identifies each unique visitor only once, it avoids the inflation of unique counts seen with session-based tracking. This results in a more conservative and accurate view of your true audience size.
Example: If the same person revisits a Visiopt LP multiple times, Visiopt will count them as one unique visitor and track the additional interactions as repeat visits, providing a clearer picture of actual visitor behavior and engagement.
Summary
The difference in unique user counts arises because:
GA’s session-based tracking can count the same user multiple times if they return after sessions expire, inflating the unique user count.
Visiopt’s unique visitor tracking counts each person only once, focusing on tracking true unique users and producing a lower, but more accurate, count.
In essence, GA may show higher unique user counts due to its session-based approach, whereas Visiopt’s method results in a more conservative and precise count by treating each visitor as unique only once.
This difference isn’t an error but rather a reflection of the contrasting methodologies. If you’re aiming to get a precise count of unique users, Visiopt’s tracking aligns more closely with a true unique visitor measurement.
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