Armanet, Google Analytics, and third party tools are all accurate, but they are built to measure different parts of the customer journey. When you compare them side by side, you are not looking at conflicting data. You are looking at different perspectives on how a user converts.
Understanding how each platform works makes the numbers far more useful.
Different Roles in the Same Funnel
Armanet is designed to measure advertising performance. It focuses on how your ads influence users before they arrive on your site and how that exposure drives conversions.
Google Analytics is designed to measure on site behavior. It focuses on what happens during a user's visit and how that visit fits into a session-based funnel.
Third party tools layer in their own attribution models to connect multiple channels, often reassigning credit based on their own logic.
Each platform is answering a different question, which is why alignment is not exact.
How Armanet Measures Performance
Armanet tracks performance at the ad level across its network. This includes impressions, clicks, click through conversions, view through conversions, and more.
View through conversions capture users who were exposed to an ad, did not click, and later returned to convert. This reflects how display advertising actually works, where influence often happens before the final visit.
How Google Analytics Measures Performance
Google Analytics is built around sessions and funnel-based attribution.
A session is defined as a group of user interactions within a set time window. By default, a session ends after 30 minutes of inactivity, with a maximum configurable window of just under 8 hours. As Google explains in their documentation, a session represents a limited period of user activity, not a persistent view of the full customer journey.
This means attribution is tied to specific visits rather than long term influence, credit is often assigned to the last non-direct interaction within a session flow, and ad exposure that happens outside that session window is not captured. This structure works well for understanding site behavior, but it is not designed to measure the full impact of display advertising over time.
Where the Gaps Come From
The differences in reporting come from how each platform approaches measurement.
View Through Conversions — Armanet includes conversions influenced by ad exposure without a click. Google Analytics does not track this behavior.
Session Based Measurement — Google Analytics measures activity within defined session windows. If a user returns later outside that window, the earlier influence is not connected.
Attribution Models — Armanet focuses on ad impact. Google Analytics prioritizes session-based interactions, often assigning credit to the last step in the funnel.
Identity and Tracking Methods — Armanet uses platform level identifiers across its network. Google Analytics relies on session and event tracking tied to user activity on site.
Tracking Limitations — Browser restrictions, ad blockers, and privacy settings can prevent analytics platforms from capturing every interaction, especially across longer timeframes.
How Much Variance Is Normal
Some level of variance between platforms is expected. As outlined in Google's documentation, sessions are time-bound and attribution is based on defined interaction windows. Because of this structure, discrepancies will occur when comparing platforms that measure beyond those constraints.
The goal is not to force exact alignment. The goal is to understand what each dataset represents.
How to Use the Data Correctly
Each platform becomes more valuable when used for its intended purpose.
Use Armanet to understand campaign performance, ad driven conversions, return on ad spend, and which audiences and placements are driving results.
Use Google Analytics and third party tools to understand on site behavior, user flow through your funnel, and channel interaction within a session.
Together, this gives you a complete view of performance from impression to conversion.
The Bottom Line
Armanet measures how advertising drives outcomes. Google Analytics measures how users behave on your site. Both are accurate. They are just measuring different parts of the process.
When you interpret them correctly, you move from trying to reconcile numbers to actually understanding performance.