This allows you to use custom rules that filter the Job Function Email Database reports. In this case, I opted for branding in the sense of 'paid' (keyword with brand name), 'display', 'direct', and 'organic search users' who land with a keyword on the homepage or on a Job Function Email Database page of a store location. This rule is of course always open to discussion and depends on the type of website. Segments in Google Analytics. In the report below I compared branded Job Function Email Database and non-branded traffic. Please note that I have chosen here for transactions based on 'last click'. I will explain the effect of attribution below. Measuring the effects of branded and non-branded traffic.
As you can see, this website has a Job Function Email Database lot of branded traffic, about 34%. This also converts a lot better than non-branded traffic. So apparently a lot is invested in branding here, and with success! Visitors via branded traffic yield more on average. It is striking that in Job Function Email Database April non-branded traffic is on the rise and will also yield more on average. Is this a seasonal trend, or a change in marketing strategy? Using 'Lifetime Value' as KPI The lifetime value Job Function Email Database report in Google Analytics provides insight into the performance of repeat visitors over the longer term, up to 90 days.
You can select different metrics. The data is then Job Function Email Database displayed at the user level. This report provides an overview of the value of your visitors. You can also collect this data yourself via other reports, but Google has collected it here for Job Function Email Database you in an overview. Useful! Unfortunately, the data is not cross-device computed for you. Lifetime Value Now how can you use this to assess your branding? To make decisions based on Job Function Email Database lifetime value, you can use the 'metric revenue per user' perfectly for e-commerce websites, for example.