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  • - Overall Google's goal has been

  • to make Google Analytics both easy to use,

  • but still incredibly powerful,

  • which can be a difficult balancing act.

  • Before we dive into the reports

  • and the analysis tools available,

  • let's discuss a few things about the Ecosystem

  • of Google Analytics itself.

  • The first thing to talk about is

  • how the levels of Google Analytics are nested,

  • at the top of the hierarchy is the Google Analytics account.

  • This is your login, your password to all

  • the Google services, Gmail, Hangouts, analytics ,ad-words

  • and so on.

  • As we've touched on before,

  • you create your Google Analytics account

  • with your overall Google user login,

  • and the difference between those two

  • can be a little bit confusing,

  • but it is important to know

  • that your account for Google Analytics is different

  • than your Google account.

  • Now, while you start with one Google Analytics account,

  • when you first begin using Google Analytics,

  • you can actually create numerous accounts,

  • all nested under that one Google account,

  • according to your business needs.

  • This account level usually serves as the entity

  • for an entire businesses analytics reporting.

  • So as long as you just have one single business,

  • you loan a report on,

  • we suggest you just stick

  • to that one account for the business,

  • but you may consider having access to several accounts.

  • If, for example,

  • your position requires analyzing multiple clients websites,

  • or like you see in this slide,

  • maybe you have one for your personal website

  • and maybe one for your company

  • and they're both tied back to your one account.

  • Or if your company has multiple brands

  • and you have multiple different sites

  • that are completely unique entities,

  • you could have different accounts for those as well.

  • Now, within an account is at least one property.

  • We generally recommend a business to have a property

  • for each website or platform

  • and by platform I mean, for example,

  • if you have both a website

  • and an application for your business,

  • like a mobile application,

  • you may have two properties

  • in that will report on each individual platform,

  • so, one for web, one for the mobile apps.

  • Now within each of those properties

  • there're something we call views,

  • views are really powerful

  • and advanced users are going to find all kinds

  • of ways to tweak them,

  • but they can be a little bit confusing at first,

  • think of each view, like a lens into that database

  • that can be configured completely independently

  • of the others.

  • For example, one view you may want to have data

  • from just California,

  • or maybe you have multiple country domains

  • that feed into this one account,

  • but you can create these views

  • that are going to separate out

  • just to your French site for example.

  • In some ways it's like you have a duplicate data set,

  • tracks that same site and all coming

  • from that one tracking code you put on,

  • but they can be configured completely differently.

  • And that goes for both the data

  • and for the permissions that

  • you're going to give users,

  • we'll see that in just a minute.

  • Now you can create up to 50 these views,

  • every web property should have at least three views.

  • If you're going to experiment and go down that row,

  • everyone should create at least these three.

  • So first, it's often useful to have a main reporting view

  • where you can do the majority of your analysis.

  • This can be the current one that creates for you.

  • Second, you should have a test view

  • where you can make some mistakes.

  • You can try new filters,

  • you can generally mess with things

  • and see what happens with no fear of hurting

  • your actual data.

  • So create that view that's just for testing.

  • Lastly, you're going to have a raw unfiltered view.

  • That's just a pristine data,

  • no filters on it whatsoever.

  • You captures all the data

  • and that way you can make sure

  • at least then you have all the data.

  • If you ever need to go back

  • and take a look at it,

  • because remember the data that comes through this view,

  • if you filter it, it's going to be processed

  • through that filter, way before it

  • even reaches your reporting interface.

  • And what that means is you can't go back

  • and revert the data back to its raw form

  • once you filtered it,

  • because of that, it's really the best practice

  • to have this unfiltered view

  • that acts as a bit of insurance policy

  • against any mistakes you might make in your main reporting

  • or particularly testing one,

  • you can always go back

  • and check that raw unfettered data.

  • Now let's move into the tool

  • and take a quick look at how we move across

  • these accounts, properties and views.

  • Have a go pure and click on here.

  • We have our accounts, we have our properties

  • and we have our views across here.

  • Now on the top, we can star a view.

  • We can go up here and click

  • and it'll show us our starred views.

  • Now, of course I only have one here

  • as well as our recent.

  • And it's a way we can organize

  • if you start getting lots of these inside of here,

  • if you want to create new properties and views,

  • we'll look at the admin section of it later,

  • but you can come over here

  • and create property three views.

  • So we talked about creating those three views

  • you could do so right here.

  • And lastly, we will talk about the search navigation here.

  • If you get quite a few these in here,

  • you can search through them

  • and filter that way as well.

  • (upbeat music)

- Overall Google's goal has been

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