These are visitors who learned about your Job Function Email Database business from a source other than a keyword search. Source Will Marlow Analyze returning visitors Let's start analyzing returning visitors. In the ideal world, the percentage of returning visitors is as high as possible. At least, this is the case for most commercial and/or content Job Function Email Database websites. You would also like these visitors to return to your site through low-cost or even 'free' traffic campaigns. For example via organic search results or direct traffic. But more on this later! In the example Job Function Email Database below we see that the difference between 'users' and 'new users' increases over time.
In this case, a good indicator that the Job Function Email Database branding has a positive effect. Difference between new users and users increases in the graph. A side note here is that you have to look specifically at the target group per website. Visitors can return to the website for Job Function Email Database for several reasons, and not just for good reasons. So pay close attention to this when analyzing! For example, you can think. To exclude the above risks as much as possible, it is wise to divide the data into channels, so that you can better estimate whether these returning visitors have good Job Function Email Database intentions. Furthermore, you should always analyze the metric 'returning visitors' in the longer term, not per day or week.
I would then go for at least a few Job Function Email Database months or more so that you gain insight into the bigger picture. This allows you to say with more certainty that your branding is effective. In addition, you exclude incidents that are only visible in short-term analyses. And if possible, always segment at the channel level. Also read: Forget Job Function Email Database bounce rate, measure visit quality Measure the direct effect of branded traffic To see the direct effect of branded traffic on your transactions, you can use segments in Google Job Function Email Database Analytics.