from Universal Analytics to Google Analytics Country Email List . Below I will answer some questions you may have about this solution. Questions and comments Why should I measure long sessions as a conversion? In online marketing, it is common to track conversions when someone has bought something or has requested a quote. A purchase or request Country Email List represents value for your organization. Long sessions usually represent no value. No transaction takes place and you cannot sell your visitors anything yet. Still, it sometimes makes sense to Country Email List measure long sessions as conversion. For example, a long session can be an indication that your visitor is orientating.
This visitor is, as it were, still 'on the way' to a Country Email List purchase. We call the 'hard' conversions such as purchases or requests also macro conversions. Softer conversions such as session duration and videos viewed are called micro conversions. Micro Country Email List conversions don't represent value yet, but give you a rough indication of how Country Email List many people are orienting on your website. For example, you can add visitors with a micro conversion to a remarketing Country Email List list. Can I also keep track of other minute markers? Do you want to keep track of other durations? For example 15 minutes, or 60 minutes? This can be adjusted in the tag 'Script – Session Duration'. On line 15, enter a comma-separated list of minutes that you want to register in GA4.
Adjust GA4 event session duration GA4 Adjust Country Email List session duration events in the script. You are allowed to track a total of 500 events with different names in GA4. Every minute marker you add to this list creates a new event and is therefore deducted from your credit. You can go wild, but I wouldn't fill in 100. How precise is this data? The solution from Country Email List this article tracks the session duration with an accuracy of 1 second. In Universal Analytics, session duration is calculated based on page views. The data in Universal Analytics is therefore less Country Email List precise. That's why your data in GA4 probably doesn't quite match that from your old property.
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