Dimensions - here we decide how the collect data is to be present - whether in accordance with the grouping of channels in Google Analytics or in the form of Source Mium. is turn on, the charts also show % conversion share next to each source - this is especially useful when using a data-driven attribution model. Attribution model - Google Attribution provides us with some of the basic attribution models available in Google Analytics (first click, last click, linear model, position consideration, decline in share over time) and a data-driven model (using AI and Big Data.
Path length - here we specify the number of contact points (enters to the website from a specific source) we are interest in In the columns of the report, we see in turn the conversion path ( ), the Japan WhatsApp Number List number of conversions made using a specific path and the revenue generat by a specific path ( ). In the case of the last columns, we also see on the basis of what % of the collect data the report was generat ( ). google attributions Another report – Conversion Delay – will allow us to determine within how many days from the first interaction with the website, users most often convert.
In this case, the configurability of the report is somewhat limit - we can only specify the type of conversion we are interest in ( ), date range ( ), attribution model ( ) and data display method ( ). When it comes to how data is display, we have options cumulative or non-cumulative display. In the report columns, we see in turn the number of days before the conversion ( ) - the number of days that separates the first visit to the store from the conversion, conversions ( ) - the number of conversions that took place in a given time interval, understood in days, The Conversion path length report shows us similar data as the conversion delay report, but here the basic data will be the number of visits to the site.