lavinaagarwal

Currently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd ...

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Currently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd

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Analyzing data with google Analytics

May 17, 2018 | 2055 Views

 Custom segments are probably the most important feature when analyzing within Google Analytics.
one need to know what segments are, first of all, but also how to then build segments within the custom segments builder and slice ones data in a way that it gives one the right viewpoint on ones data.
 For example, only looking at people who came through the channel of organic search results or through ones PPC search results makes a huge reference on the viewpoint of ones data, and the questions and the answers that one get from ones data

 Always segment ones data. Data doesn't really make sense if one just look at it at an aggregate.
 one need to be able to use this tool very effectively.
 This is definitely one of the concepts one need to master within Google Analytics.
 Another complementary tool to that is number six which is regex.
 If one are a Google Analytics advanced user, one probably came across regex and that's something one definitely should learn because regex basically gives one another tool set that makes it far easier to filter and segment data.

 If one look at the available filter options, one'll probably see the contains options or the begins with option or ends with option, but with regex, one can be much more granular while doing any kinds of search operations within Google Analytics.
This is super useful when one're working with custom segments or filtering data within the interface but also when one're doing any kind of configuration.

 So if you think about goal configuration, regex is super important to know in order to include or exclude any kind of data within ones Google Analytics account.
 Also when setting up filters, very, very important Definitely, learn regular expressions.
Once one get sick of the standard reports, one probably want to put ones data together in ones own way, and this is where custom reports come in.

 Once one start building a custom report from scratch, one might find the knowledge about ones metrics and dimension very useful because this is something one can't just throw together and make it all work.
 one need to know about the concepts of scope, what scope means within Google Analytics, and how to use it effectively in ones custom reports to show ones data in a certain way and put it all together.

 That's one of the next concepts one need to master within Google Analytics Number eight when we go back on the grand scheme of things, one definitely need to know how to customize ones Google Analytics.
 On the measurement side, there is a whole lot of customisations, how one send in data but then also on the configuration side of Google Analytics.

one can configure Google Analytics in a certain way which makes or breaks one data in a sense.
 For example, if one think about the customization across the main tracking, is that useful for ones case one need to know about the different feature sets of Google Analytics on how one can customize it to the business that one are working with or the website that one're working with, and then everything is configured correctly so one have clean data in ones account to do ones analysis.

 This is really the heart of a lot of advanced Google Analytics work where one really need to figure out how can one use Google Analytics effectively for this use. Once ones sick of the standard reports and also the custom reports, one want to correlate probably ones data with other data sets that are not even in Google Analytics itself. So one need to get that data out of Google Analytics and that's where the reporting API comes in.



Source: HOB
lavinaagarwal

Currently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd ...

Full Bio 
Follow on

Currently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd

Machine Learning Algorithm For Neural Networks
91 days ago

Analyzing data with google Analytics
91 days ago

Google Analytics: Data Tracking
91 days ago

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93 days ago

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5832 views

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Analytics
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