Google Analytics Tutorial for Beginners
Articles,  Blog

Google Analytics Tutorial for Beginners

Hi, I am Shivani from and today I am going to teach you everything
you need to know about navigating your Google Analytics to get insights about what’s happening
on your website. So, once you’ve signed in you just want to
click on the name of your blog or website. So, I’ve opened up the Google Analytics account
for Troy is one of our employees here at Powered
by Search. So what you first see when you log in is this
graph over here and this graph represents number of visits per day. And you can go to the top right hand corner
over here and change the date range and you can change it to anything, for today, yesterday,
last week, last month. I am going to change this to last month. So, now this is going to show the statistics
for January 2014. Another interesting thing you can do is you
can change it to hourly, weekly, monthly. So you can choose to analyze the data according
to your needs. So below the graph over here you can see there
are a lot of numbers, a lot of different terms and these terms might sound confusing or even
similar, so I am going to tell you the difference between all of them. So, let’s start off with visits. Visits may mean the number of individual sessions
initiated by all the visitors to your site. So, if a user is inactive on your site for
30 minutes or more any future activity is counted as a new session. So, any user that leaves your site and returns
within 30 minutes is counted as one visit. So, basically a user can open multiple visits
and those visits can occur on the same day or even over several days. And there maybe two methods by which a visit
ends. One is after every 30 minutes of inactivity
by the user and the other one is at the end of the day at midnight. Moving on to the next term here is unique
visitors. Unique visitors are simply the total number
of people that visited your blog for a specific time period. And this has nothing to do with the number
of pages they visited or how long they stayed on the blog. It’s just the total number of people that
opened your blog. Moving on to page views. Page views are the total number of pages loaded
on the blog for a specific time period. So each time a page is opened on the browser
a page view is recorded. Pages per visit. Pages per visit are the calculations of the
average number of pages per visitor. So, on an average each visitor viewed between
one to two pages per visit. Average visit duration is the average time
spent on the blog by each visitor. So, on average each visitor spent one minute
and twelve seconds per visit. Bounce rate. Bounce rate represents the number of people
who visited the site, viewed one page and left. So, basically it’s the percentage of one page
visit. Now, had 84.54% as bounce rate
for the month of January and this could mean two things. Either those 85% were very satisfied with
the one page they viewed and they found exactly what they were looking for and they didn’t
need to view any other page because they got the information they required so they came,
viewed that page, got what they wanted and left or the page they viewed was of no use
to them at all so they simply exited the site. So it could really work two ways but generally
a lower bounce rate is preferred. Now a similar term that is not included on
the site is exit rate. Exit rate and bounce rate sound similar but
they are different. Exit rate mainly applies to specific pages
on your site and that is the exit pages. So the page that the viewer last viewed before
leaving the site. So, they may or may not have landed on that
page but that was the last page they viewed before leaving the site. So, that means that they may have viewed more
than one page on the site before they left but the exit page was the last page they viewed. And like bounce rate, high exit rates are
not preferred but they are good for revealing problematic areas on your site. So, you should definitely have a look at your
exit pages and see which areas on your website need improvement. And then the last term that we have here is
percentage of new visits which is exactly what it sounds like. So, basically it means that 89.36% of the
unique visitors in January were completely new people who had never visited the blog
before. And if you look to the right over here, you
have a pie chart which represents new and returning visitors and according to it in
the month of January there are approximately 11% returning visitors and 89% new visitors. It is always good to get new visitors but
you do have to put an effort to have the old visitors coming back to your site again and
again. And another term that isn’t showing over here,
but I do want to talk about is unique page views. And yes, it is different from page views. So, unique page views are actually a sub-set
of page views. They are always going to be lower than the
page views. And in the case of unique page views, each
visitor is counted only once, regardless of how many pages he or she opened. And unique page views are mainly different
from total page views because they eliminate multiple page views from the same person. So, if a person visits a site five times,
it is counted as five page views but only one unique page view because all of them came
from the same person. And one thing that becomes a little confusing
here is the difference between unique page views and unique visitors. A unique visitor is equivalent to a cookie
in the browser. So, whenever you visit a website you get a
cookie that stays in the browser until you delete it. So, if you visit a site twice and you delete
the cookie after your first visit, your second visit will be counted as an entirely new visit. So you will be counted as two unique visitors. So, it could be simply explained as unique
visitors being how many different cookies have visited the site. Unique page views on the other hand are just
unique visits to a page. So, numerous visits to a particular page are
only counted as one unique page view. So, if I open a website the home page, click
on a particular post and then go back to the home page, the home page did get two hits
from me and it was opened twice and is counted as two page views but only one unique page
view. Another cool little trick that you could do
here is click on any one of these terms and have the graph above represent it and completely
change. So, if you want to have a look at unique visitors
in depth, you just click on that and start analyzing. And as I mentioned earlier, you can view this
hourly, daily, weekly, monthly and you can completely change the time range to anything
that you like. So, as you can see Google Analytics is very
detailed. Below the graph and the terms that I just
discussed there is some other information over here about demographics and languages. I am not going to get into that right now
because it is also part of the standard reports on the side bar over here, so I am going to
be discussing it in detail later. So, before I start with the side bar over
here, I want to cover the tabs on top. So, right now we are in the reporting tab. If I click on this home icon here, it takes
me to the page that we started at. This page here just shows how many sites are
linked to the analytics account. Now if I click on customization here, it allows
me to create custom reports. Custom reports are basically summaries of
all the analytics data and you choose which data you want to be a part of the report. Whatever you feel is important or whatever
you are concentrating on. If it is made the right way, these reports
can be incredible time savers. Now this account doesn’t have any custom reports
created but I am going to show you how to make one right now. So, first thing first, you click on new custom
report, you give your report a name and I am going to name mine traffic summary, then
you want to choose your report type and for this you have three options explorer, flat
table and map overlay. I am going to go with flat table. So, it is going to give me my information
in tabular form. Then I am going to choose dimensions and metric. Now a dimension is like a descriptive characteristic
and a metric is like an individual element. They are related in the sense that metrics
are individual elements of dimensions. So dimensions are often associated with one
or more metric. So, I am going to go ahead and choose them
and you are definitely going to understand dimensions and metrics in more depth after
I am done choosing them. So, I am going to add metrics first. I am going to add page views plus add unique
visitors. So, I am done adding my metrics, I am going
to add my dimensions, I am going to add source and let’s add country. So, these dimensions and metrics are going
to be a part of my flat table. And an easy way to explain this is that the
metrics are going to be like the columns of the table and the dimensions are going to
be like the rows. So, basically I am going to have a lot of
information about the page views, unique visitors, and how much time the visitors are spending
on the page, all of that based on the source where they are coming from and the country
where they are coming from. But you will understand that in more detail
once I click save and the table is generated. You can also add a filter if you like, it
will help out in leaving out things that you don’t want, in case you don’t want all of
the data to be a part of the table. So, once you are done adding your filter if
you want that and all your dimensions and metrics you will click on save and it’s going
to give you your report. So, here in the table I have my two dimensions,
source and country and then I have all the metrics, page views, unique visitors, average
time on page and bounce rate. So, basically it shows me all the metrics
for the different countries that they are coming from and the sources that they are
coming from. So, now that you know how to generate a custom
report, we are going to move on to the admin tab. You can have access to information such as
account and property and these are more important to the actual owner of the blog so you can
access things such as your account settings, your property settings and all that. But what I mainly want to talk to you about
is all the information over here. So, if you click on view settings over here
you can see some information regarding time zone of your blog, e-commerce settings and
site search tracking etcetera. But I am not going to click on it because
it has some confidential information such as the view ID, so I am going to skip that
part. You can also check out the goals and the filters
area but there aren’t any set for this account at the moment, but maybe you can just add
some goals which are just the main things that you want your visitors to do. And it’s a good way to measure how many times
a visitor completes one of your goals and a conversion takes place. Filters over here allow you to limit specific
data that you don’t want to be part of the report. Below that we have personal tools and assets. So, we have segments over here which allows
you to isolate specific types of traffic within your Google Analytics reporting. Then we have annotations. And they are mainly for letting users leave
notes on the graphs so you can mark important happenings according to the date on which
they happen. So. let’s create an annotation right now. We are going to go back to the reporting tab
and I am going to create annotation for the month with the highest traffic. So, Troy’s blog was actually started in June
2010, but he didn’t make an analytics account until January 2013. So, I am going to set this date to January
2013, it is going to be a custom date and it is going to be till February 2014. And I am going to set this to month. So, traffic wise his highest month was in
October 2013 and it had 1421 visits. So, to create an annotation I am just going
to click on this arrow below here and I am going to click on create new annotation. So, this is going to be for October, I am
going to click on October, I am going to have to click on that again. So, it is set for the 1st of October 2013
and I am just going to write highest traffic till present. And that is beginning of February 2014 and
then you are just going to click on save. And that’s how you make an annotation. So, I am going to go back to the admin area
and there is our annotation. Highest traffic till present. And the next thing we have to discuss is attribution
models. The attribution modeling is an intense topic
and also a very broad topic. So, I am not going to go into too much detail
here, I am planning on making a separate video for that but I am going to give an introduction. Attribution modeling is basically concerned
with determining the value of each customer touch point that leads to a conversion and
it really helps in understanding your customer’s journey. So, to make an attribution model you click
on new attribution model and you give your model a name. I am not going to actually make it but I’ll
give you a brief introduction of it. And then you choose one of the base line models. So, you have the option of linear, first interaction,
last interaction, time decay and position based. In the linear attribution model each touch
point in the conversion path shares equal credit for the sale. So if there is a conversion path with four
channels, each channel will get credit for 25% of the conversion. And this is the good way to evaluate the overall
contribution of your channels. In the first interaction, the first touch
point receives 100% of the credit for sale. And this is the great method for new companies
who want to know how people find them the first time and convert. Last interaction model is the one in which
the last touch point gets 100% of the credit for the sale. In the time decay model the touch points that
are closest in time to the sale or conversion get the credit. And this is something that you would want
to use when there is a promotional offer going on, on your site. In position based 40% of the credit is given
to the first and the last interaction and the remaining get 20% distributed amongst
them evenly. So that was just a brief explanation of attribution
model. And then we have custom channel grouping. A channel grouping is a set of labels where
each label is applied to a channel or a group of channels that you would like to see in
your reports. So, when you define channel grouping you specify
which channels belong to which label. And then we have custom alerts. So Google Analytics has an engine that monitors
your traffic and your posts and alerts if it sees something unusual. So, if your traffic drastically drops it will
alert you. Let’s try creating one. You are going to click on new alert. And I am going to make an alert for, when
the traffic increases to over 2000 page visits a month. Because I have noticed that Troy’s blog is
getting around 1800 page views a month on an average. And I guess 2000 would be the next milestone. So, when it crosses 2000 he will get a notification. So, once you are done filling in all the information
you are just going to click on save alert. Then we have scheduled emails. So, what scheduled emails Google lets you
export any of the reports and you can schedule it to be emailed daily, weekly, monthly even
quarterly. So for this you go to your reporting tab and
click on email and you can write in your email address and you can check if you wanted to
be sent to you weekly, daily, whatever you like even quarterly. So that’s how you schedule email. I am going back to admin area. Short cuts are actually really cool. They remember your settings so you don’t have
to reconfigure a report each time you open it. So, to create a short cut you go over to the
reporting tab and basically you just make some customization according to your needs
and then you can save it as a short cut and it will show up in your dashboard. So, lets say that I want to create a short
cut for a report that compares visits and page views monthly. So, I have visits, I am going to select a
second metric, page views and I am going to switch back to monthly and let’s do that for
last month. Just that it shows us the graph like a little
dot, so when you hover over the dot it tells you the visits and the page views. So, basically now this graph is going to give
me a comparison of my visits versus my page views each month. Now to save this I click on short cut over
here and give it a name. I save that and now we have it as a short
cut on the site. And all the short cuts that are created are
going to be here in a list form and when I click on my short cut it is going to come
up so this is a really good time saver. And the last thing that we have to discuss
in the admin area are share assets. And they mainly allow you to share custom
reports and add dashboards. So, now that we are done discussing all of
the tabs above we can go back to reporting and discuss the side bar over here. So, on the left hand side over here, I have
my stuff which begins with dash boards. So, if I click on my dash board all this stuff
pops up and we get all of these widgets over here all on one page. So you can click on add a widget above and
you can add anything else that you wish to and you can click on x on any of the widgets
if you want to get rid of them. And basically this is what every analytics
account gets, but you can completely x out all of them, remove all of them or create
a completely new customized dashboard according to your needs. The Google Analytics dashboard system is great
because it’s like a little summary. So, if you are ever short on time but you
still want to see your performance, you can just log in quickly have a look at your customized
dashboard sink in the information and quickly log out. After dashboards, we have short cuts here
which I showed you earlier and you can click on overview and all of your short cuts come
up on one page. After that we have intelligence events. You can view them daily, weekly or monthly. They are mainly of two types, automatic alerts
and custom alerts. So, automatic alerts take place when Google
Analytics detects a significant change in traffic pattern on your site and custom alerts
are the ones that you create yourself. Like the one I created earlier to notify Troy
when his page views exceed 2000 for any of the future months. So that’s the meaning of intelligence events
are about. Moving on to the standard reports. The first one that we have is real time. Let’s click on overview, so it shows us that
at the moment there are zero visitors on the site right now and mainly just gives us some
information related to the visitors that are on your site at the moment. So right now there are zero visitors but if
there was one or more than one visitor it would have given me information about the
page views that person is viewing. That just changed to one visitor. So, it tells us that this visitor is from
Ottawa and is viewing the about page. It also tells us the page views per minute. So one page view for the last minute, page
views per second and if I click on traffic sources it tells me that the person is viewing
the about page and the person directly came to the site. So real time is great for showing you who
is on your site. It may not always be a 100% accurate but it
is still really interesting to look at. So since this visitor came to the site directly
by just punching in the URL into the address bar above, it doesn’t tell us what the referral
sources or social sources, because it didn’t come from a social media source or a referral
source, but if there were more than one visitor, if there were five or six visitors and one
of them came from a referral source it would have shown up over here. It also does not tell us about the keywords
and that’s just how Google Analytics is, sometimes is doesn’t give you information about keywords,
but that’s just how it is. So, real time is actually very interesting. And then we have audience. Just going to click on overview, so it brings
us back to the exact same graph that we saw at the beginning of this video. So you have a graph over here, you have the
terms and you can click it to hourly, daily, monthly, weekly. You can change the date range, you have a
pie chart over here, so all the same things we saw above. Now one thing that I didn’t discuss in detail
before was about language, demographics and all that. So, if I click on language it tells me about
the different languages that the people are speaking who are visiting the blog. Country tells me which country they are coming
from, so United States is bringing in the most traffic and India is number 2 and if I click on city it tells me how much
traffic is coming from which cities. And I can also view the information of the
browser, which browser they are using while browsing the site, the operating system they
are using, which service provider they are using and just a lot of information like that. So these are just some of the more technical
things that you can have a look into. Tells you about their screen resolution, so
that’s something that you can look into. And it could be important to you for the design
of the website. So, basically all of these things are there
in the side bar as well. And if I click on visitors this really interesting
sort of map thing pops up. So this shows us where the visitors are coming
from if that’s what you choose. It’s really interesting because it shows you
the path that your visitors take while they are on your site. So right now it is set to country, I could
change that to anything that I like. Let’s change that to source. So now it completely changes and it tells
us where the people are coming from and where they are going. So it tells us that for the month of January
2014, 990 people came from Google, and some people came directly, some people came through
Facebook and some other sources. So people who came from Google mainly went
to this page over here, so this tells us that this is one of the top performing pages, I
guess something that would have a great rank in Google, some of them went to this page
over here and just various pages on the website. So it mainly tells us where they came from,
the first page they viewed, next page they viewed and which were some of the exit pages. So you can sort of trace the path that the
visitors went through while they were on the site. Where they came from where they went after
that. So it is showing me that some people came
from Google and they went to this page over here, how to speak clearly then they went
to this one over here, how to improve speaking skills in seven steps, then they went to 13
additional pages. So it tells me a lot about source they are
coming from, starting pages, first interactions, second interaction. And one thing that I can see over here is
that most of the Google traffic is leaving through this page over here but the visitors
are not visiting any page after this. This is one of the exit pages. So just like real time one of the really interesting
things that you can have a look at in Google Analytics, you can also change the level of
detail. So you can go towards show more connections
and really go into the details of the visitors flow. After audience we have acquisition. We click on overview and this is one of my
favorite parts of Google Analytics because it tells you where your visitors came from,
how you acquired them. So it tells you how many of them came from
Google through organic search, how many directly punched in your URL into the address bar and
came to your site, how many came through referral sources, social and other sources. So if you click on these over here it gives
you a lot more information in depth. So, I can click on channels, it will tell
me all the channels, it will tell me the visits per channel, percentage of new visits, the
amount of new visits, the bounce rates, it gives me all of that information for all the
different channels. And for even more information I can click
on all traffic over here and it will tell me the names and the URLs of the places where
the traffic is coming from. So a lot of it is coming from Google and it
is organic traffic which is excellent. A lot of it is direct, some of it is from
Facebook and then we have some other sites over here which are referral sites that actually
is good. And you can go to the second page of this
and you can look in detail and see where your traffic is coming from. Which websites are referring to you, which
websites are linking to you. Then if you want to have a look at referrals
in more detail you can click on all referrals and it tells you all the sites that is referring
to you. Then we have campaigns. Campaigns mainly gives you information on
how well your campaigns are working. So if you are running a Google AdWords campaign
this is the place that you would want to be. And then we have keywords. No point in clicking paid because there has
never been any AdWords campaigns for this blog but if you click on organic here it tells
you the different keywords that you are ranking for and different keywords that people are
searching on Google and finding your blog, clicking on your link and actually coming
to your blog. So these are some different keywords over
here that the blog is ranking for. Then we have cost analysis. The cost analysis report shows data for the
performance of your paid marketing channels. So it compares the cost of each campaign with
its revenue and helps in calculating the ROI. It’s really helpful in letting you know how
each campaign performs and it is great for getting insights on Google AdWords and even other
non Google search engine campaigns. Then we have Google AdWords. Google AdWords is an excellent place to be
if you have an AdWords campaign going on and you can link your AdWords account to your
analytics account and get plenty of information on how your campaign is doing. And linking your AdWords and your analytics
to each other is highly recommended because it allows you to view your AdWords quick and
cost data alongside your analytic site engagement data. So, it is quite helpful. And once you have that done you can check
out how your campaign is going, adjust, have a look at your keywords and clicks and match
search queries which allows you to see search queries that match your keyword list and to
see how people are searching related to your products/services and refine your keywords
accordingly. Day parts over here let you view your stats
based on specific hour of the day and day of the week depending on your time zone. And this is great if you are selling products
or services within a particular region or country and this is an advantage to those
people who want to target their ads to specific hours of the day or the days of the week. But if you are selling worldwide, this won’t
be of much concern to you. Then we have destination URLs, which tells
you about the URLs on your site, to which your redirected visitors from your AdWords
ad. The next thing that we have is the placement
tool, and it is actually quite similar to search focus keyword to an AdWords. And it helps you in locating placements to
target, so you can punch in a word or phrase and get back recommended placements. Input a URL of the site you would like to
advertise on or a category of sites that you are interested in. And keyword position over here lets you see
the keywords for which your ads were displayed and the number of visitors those ads brought
to your site and which positions these ads appeared in the search results. And then after AdWords we have social. Social displays the amount of visits that
came from social networks. So if I click on overview it tells me that
from 1203 visits last month, 22 came from social networking sites. So it tells us which sites those visits came
from. Such as Facebook, Twitter and some other sites
over here you can also click on view for report to go into details. So, compared to 1200 plus visits 22 is quite
a low number and this is something that can definitely be improved because we all know
the power of social media in bringing in traffic for blogs. If you click on network referrals here on
the side it lets us go into more depth and tells us how many visits came from each network,
how many page views were generated and how the visitors from each social network stayed
on the site. So it gives you insights on how each social
network is performing, which ones are your top networks and the ones you need to concentrate
on more. Then we have data hub activity. Which generates a report which shows us how
people are talking about and engaging with your site on social networks. And it hasn’t been activated over here but
it allows me to see the most recent URLs people have shared, where they have shared them and
what they’ve said. But mainly in order for this to work you need
to publish a global activity feed from your social network and those feeds need to be
delivered to the social data hub. And this blog has not done that so unfortunately
I can’t go into much detail here. But after that we have landing pages, which
shows you the pages people are landing on from social networks and on the side here
we have a bunch of metrics that we’ve seen before and we discussed and it’s all pretty
self-explanatory so I am not going to get into that. But if I click on one of the URLs it tells
me how many clicks came from which social network and it also gives me two graphs over
here which shows me the visit for the URL versus the visits from the social network. Then we have track backs which let you know
which sites on the internet are talking about your content and linking to it. So it lets you see all the back link URLs
to your site. So, in the month of January Troy got a link
from the Powered by Search blog for one of the articles that he wrote. Moving on to conversions. The conversions report lets you know the value
of your social traffic. So it shows the number of conversions that
took place and the monetary value of each of them. Plugins let you know which social sharing
or following buttons are clicked on and for which content. So if you have a Google plus one button or
a Facebook like button on your site you would want to have this section functioning so you
can know which articles of yours are being liked or shared or plus oned and are socially
successful. Lastly we have visitors flow. Which is just like the visitors flow chart
we saw earlier except that this time it shows visits coming from social networks, but you
can change that to anything you like of course. Moving on to search engine optimization. If I click on queries it shows me what people
are filling into Google to reach your blog. So these are the keywords and key phrases people
are filling into Google and your site is showing up for them and people are clicking on it
and reaching your site. So shows in impressions that how many times
you are showing up for the specific keyword and it shows you how many clicks you are getting
for the number of impressions. And then based on these two numbers it shows
you through it. An interesting thing over here that shows
is your average position. So it is telling me that speaking skills has
an average position of number three on Google and of course that moves up and down. Landing pages show you the main pages of your
site visitors are landing on when they click on queries for the term that you are ranking
for in Google. And there is also we have here are very similar
to the queries we saw earlier. So we can see the page for speaking skills
bringing in the second most amount of traffic. And geographical summary tells you where your
most searched traffic is coming from country wise. And as you can see this blog is doing pretty well
in India and the US. And the first page over here tells you your
top ten countries, but you could, you know, click on the arrow and get into more detail. Moving on to behavior. Now the overview over here is pretty much
just the repeat of what we saw earlier so I am going to skip that. But if I click on behavior flow, it gives
us another one of those flow charts showing the path that visitors take and it’s based
on landing pages but you can change that of course. Then we have site content. Now I am going to skip the first three because
they are pretty general and self-explanatory, but I am going to explain exit pages. Exit pages like I mentioned earlier are the
last pages that your visitors viewed before leaving your site. And they are considered problematic areas
because you want people to stay on your site for as long as possible. And you want to prevent them from exiting
as long as you possibly can. So it is great that Google Analytics lets
you know your exit pages so that you can improve on those areas. A solution to that here would be to interlink
posts, so after reading your posts your visitors find another post to read so that way they
stay on the site much longer. Site speed tells you information on your site’s
loading time, such as the page load time, redirection time, page download time
and more. If you click on page timings it shows you
your pages and if I click on average page load time
it gives me the load time per second. The ones over here in red are the problem pages
that possibly have a really large image or too many images or just some back end error
that is really slowing down the page. And you really want to look into these pages
because site speed is one of the ranking factors in Google. Speed suggestions is great because Google
Analytics sort of run a test on your pages analyzes the speed and gives you suggestions
on how to improve speed of those pages, so you should definitely look into this. So if I click on the first page over here
starts analyzing the page and ends up giving me suggestions on how to improve the speed. So that’s something that is really interesting. Then we have site search. Now site search has not been set up on this
blog, but site search mainly gives information on how the search engine on your site is being
used and by searching engine on your site I mainly mean the Google search bar that some blogs
have on their site. So the site search report provides information
on how many of the visitors on your site use the search engine on it and what they search
for. Event tracking lets you track your use end
tracking such as downloads, ad clicks, [slash] elements, video plays and much more. And then we have the AdSense area. Now Troy’s blog is not monetized so I am not
going to be able to give too much information about AdSense but I am still going to give
a brief introduction. The AdSense area over here gives you a little
summary of what’s going on with your adsense account. How much money you are making with your ads,
the number of ad clicks you are getting, which ad sizes are doing better than others. So that is basically all I can tell you about
AdSense in relation to this analytics account. We do have an entire AdSense tutorial planned
for the future, so stay tuned for that video. Experiments lets you test different learning
pages to see which ones help in the goal completion. It allows you to test up to five different
variations of the page. So basically you fill your URL and you click
on start experimenting and I won’t be able to show that because I am not account administrator
but it’s all pretty basic. Then we have conversions. The first thing we have in relation to that
is goals. Now goals help you in measuring how well your
site achieves its targets. So it helps in keeping track of conversions
that take place. E-commerce is a way to use for selling a product
on your site so it refers to all e-commerce activity on your site. And multi-channel funnel is basically give
you an idea of how your marketing channels work together to generate sales and conversions. And reports are generated for conversion paths
and the sequences of interaction that takes place and lead up to each conversion and transaction. Attribution, which we did before as well,
just evaluates the effectiveness of your channels and traces your visitors paths to conversions. So that was an explanation of Google Analytics. I hope this video helped you all in understanding
analytics better and I hope it helps you in analyzing your account for your blog or site. If you have any questions then please comment down below and I’ll get back to you as soon as possible. Thanks a lot for watching and don’t forget
to visit our blog at


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