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vendredi 16 mai 2014

Smart Lists From Google Analytics Can Help You With Re-Marketing List Management

By Adam Noah


Google created Smart Lists to automate the creation of re-marketing lists. These lists depend on the anonymous conversion data that is taken from countless websites that implemented Google Analytics and opted to share their data with Google.



The Smart Lists are created using signals that include page depth, device, referrer, and browser. Machine learning is applied to the data. It looks at the actual activities of the user on the website, and creates a re-marketing campaign in AdWords. It figures out which users have a higher potential to convert when he visits the website at a later date. The model is updated everyday, adding users who have the best chance in converting. Based on this, the list adds ones that are most likely or removes users who are least likely to convert to make the list a truly valuable marketing tool.

However, if you run a site that gets more than 500 e-commerce transactions monthly, has over 10,000 page views daily, and uses Analytics to manage your e-commerce tracking then Smart List will automatically get customized by following the characteristics that lead to visitors converting on your particular site. This eases the work for marketers as it will speed up the analysis process and gives more focus on growing the business rather than on list management.

Nonetheless, for your analytics results and transactions to matter, it is important that they are imported to AdWords. You can do this by combining your Smart Lists with AdWords' conversion optimizer using ROAS or CPA.

Smart Lists are meant to make re-marketing easier for novices using this method.Smart Lists can make all marketers work smarter and faster. Based on statistical analysis of this new data, the marketer can make a quick decision what factors to focus on to get the most accurate prediction on conversion. It takes time making sense out of a set of data. Smart Lists will continue to improve for more advanced users and automate as much as data interpretation as possible to marketers can spend more time growing his business and not crunching numbers.




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