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- There are probably over 50 reports in Google Analytics.

Which one should you be using?

In this video, I'm gonna show you my favorite report in Google Analytics and why I chose

this one over the others.

Hey there and welcome back to another video of measureschool.com teaching you the data-driven

way of digital marketing.

My names is Julian and today we wanna talk about my favorite Google Analytics report

of all times.

Now, Google Analytics implementations, it's actually pretty custom to what your functionality

is in a business and what report you should be looking at.

In the end, Google Analytics is really just a question answering machine where you ask

the question and you look in the right report and then try to find the answer through the

tools that are available and the visualizations that have available but I wanted to show you

what my favorite report in Google Analytics is and maybe you have guessed it already or

maybe you're using that report as well and I'd love to hear from you later on down below

in the comments if that is the same report that you were thinking about or if you have

another special report that you look on often.

So, without further ado, let's dive into my favorite report.

All right, so welcome to my favorite report.

This is the Source Medium report.

You can find it under the Acquisition and the Source Medium.

Now, why's this my favorite report?

It's actually a report that I would choose to look at if there would be no other reports

in Google Analytics.

This is the most valuable part of it all at least for a first analysis and it's really

about being an online marketer and caring about where my users come from and this is

the question that this report answers quite well and even goes a step further telling

me how it's performing and some instances how I can improve it.

Now, first up, what is Source Medium?

Source Medium is a classification of Google Analytics determining where your users came

from, when they entered your website.

As opposed to the other reporting that we have about channels, source medium is really

the raw data point that comes in that you can influence through UTM parameters.

If you don't know what UTM parameters are, then I'd urge you to check out the video I'm

gonna link up in the description below or you see it up here in the card as well.

So, every time a user enters your website, starts a new session, he gets sorted into

one of these rows here that tell us where the user came from.

We can quickly analyze the most important traffic sources for us, so in this case, the

organic source results of Google, any other important referrals, how well paid advertising

is doing, Google CPC, for example, and also the traffic that Google couldn't classify.

I always call this dead traffic.

It doesn't really hold any insights because we don't know where this traffic actually

came from.

So, my inclination's always to try to decrease that amount and actually send in traffic with

UTM parameters attached.

Now, in these metric fields, we get a great overview of what happens to the traffic once

it enters our website.

We have this model of ABC analysis.

That's Acquisition, Behavior and Conversions.

You might be familiar with these terms from the big reportings up here, Acquisition, Behavior,

Conversions.

These really are digging deeper into these aspects of our analysis and these really answer

the question where does our traffic come from, what do they do on our website, and do they

reach our goal of our website?

Now, down here everything is broken down by these different source mediums and we can

see line by line how these stack up against each other.

This is quite great because we can quickly compare different sources against each other.

For instance, Google is bringing us most of the traffic but the e-commerce conversion

is much lower as opposed to this referral source, much lower traffic but the conversion

is much higher.

Maybe you should be working on increasing this traffic source here as it has a much

higher chance to convert.

If you don't see any data in your e-commerce reports it might be that you have goals installed

but if you see no data at all, then it means you don't have goals installed and this is

something that you definitely should do.

We have some videos on this channel as well on how to set up goals in Google Analytics.

Back to the e-commerce reports, let's have a another look at the different metrics that

we see right where.

So, for example, in the Google CPC column, we can analyze how effective our traffic is

that comes from our paid advertising on Google.com.

We get a decent amount of traffic and that traffic bounces to 57%.

What does that mean?

Well, 57% of the users that actually enter the website through the source Google CPC

only have one page view in that session which gives us an idea how relevant the actual landing

page is in connection to the actual ad, so what does the user expect once he clicks on

an ad?

To come to a website where he can find a product, for example, if he doesn't find that, he will

bounce.

So, overall, you will try to decrease this bounce rate and help the user at least to

go to the next page and interact with your page further but this only happens if your

ad is really relevant to the user and he finds on the next page when he clicks through that

there's a relevant product that he wants to buy.

Well, once the user is on the page, he clicks through and on average looks at 3.61 pages

in that session and stays for an amount of one minute 52 seconds.

Again, these numbers don't mean anything by their own.

You would need to compare them against your other traffic sources and see where you might

need improve a traffic source if that's in the realm of your marketing efforts and then

we see how many people of those people who entered the website and clicked through actually

converted and how much revenue they have generated.

Now, revenue is also a great indicator if you are responsible for these AdWords ads,

you probably know how much you've spent on the account in a given period and therefore

can do a quick IOR analysis and see if this is still a profitable campaign for you.

So, really quick insights through this report just through asking these questions, where

does my user comes from?

What does he do on the website?

And did he convert and reach my goal?

Now, obviously we can go deeper into some of these traffic sources like Google CPC but

that's really what these other reports are all about.

You have your AdWords reports, your Search Console reports if you wanna dig deeper into

the organic aspect of your traffic and referral reports which help you to analyze these different

source mediums under the aspect that is important when comparing referrals to each other or

social sources to each other.

And once you have a broad overview of what data you wanna dig into, you will have more

questions and this is what Google Analytics is all about to actually start investigating,

start analyzing, using the tools like the Custom Segment Builder up here or different

visualization methods to understand your user behavior whether answering those questions

that you have asked and getting to a conclusion, a recommendation or an actual action that

you take in your marketing account, for example, to influence these different metrics.

But the starting point for most of my analysis is really this Source Medium report that lets

me start forming the first hypothesis, the first questions that I want to investigate

further and that's why I think that this is the most valuable report within Google Analytics.

All right, so there you have it.

This is my favorite report in Google Analytics.

I might be biased because I'm first and foremost still a marketer and I want to control where

my traffic's coming form and how it's performing so I can optimize, and bring more qualified

traffic to the website that I'm using.

Now, this said, I actually dig deeper into different other reports because this is first

my starting point.

It's my favorite report because I get questions from it.

I see something in the report that is interesting and then I try to find out or I get a new

question and I try to find out in different other reports why that is so and maybe I will

go deeper into the AdWords or the SEO section of Google Analytics to find out more about

how I can optimize this given channel.

Now, that said, if you are a PPC guy or an SEO guy or you are an e-commerce manager,

or you are a developer of the website, you might be looking at totally different reports

and this is totally find as well.

This is just my personal preference and I'd love to hear from you what you find so interesting

in the reports that you look at most often.

Please leave a comment down below and let others know about your experience with your

favorite report.

Now, if you haven't yet, then consider subscribing right over there 'cause we bring you new videos

just like this one every week.

Now, my name is Julian, 'Til next time.

For more infomation >> My favorite Google Analytics report - Duration: 9:07.

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gVisor Demo - a new open source sandboxed container runtime - Duration: 6:22.

Hello again I'm Dustin Kirkland and I'm joined this time by Ian Lewis, Developer Advocate

at Google.

He is going to tell us a little about a new open source container isolation sandbox called

gVisor.

Right, so gVisor is a sandbox isolation project for containers.

It provides a lightweight execution mode for containers, but also gives you very secure

isolation between those containers.

It's really all about the security isn't it?

Exactly, so for things like containers they provide isolation in the form of namespaces

and c groups and as a feature of the Linux kernel but you are exposed to kernel bugs

and things like that and unforeseen issues as where they are to the Linux kernel, so

if any sort of new bug happens or that type of thing a zero day happens you are exposed

to that and so what this does is actually helps you mitigate those type of issues.

Right, it reduces the surface, as I understand it, right?

Right.

So it actually provides a separate layer in between the running application and the Linux

kernel,.

And what is that layer?

So that layer is actually a user space implementation or user space kernel so to be a little bit

detailed it implements a lot of Linux or most of the Linux syscalls and then provides user

space virtualization for the container.

Cool.

And you've got a demo for us today?

Tell us a little about this demo and how it's going to work.

Yes, this particular demo is going to show a kernel vulnerability and what we are going

to do is we are going to show how that vulnerability can be used to break out of the container

and then out of a normal container that is a Linux container that's using namespaces

and how that can actually be mitigated when using something like - or when using gVisor.

And this is a real vulnerability, not something that you've instrumented?

Right.

This is a vulnerability that has since been patched obviously but it's one that if it

was released to it would have been Sure, it would have been protected better by gVisor.

By gVisor, exactly.

Interesting.

So what we are going to do is we are going to take advantage of the dirty cow vulnerability

in the Linux kernel.

What I have here is an OCI image or an OCI bundle and in the configuration here we've

got the UID and GID set to a user and here we're going to run a dirty cow vulnerability

and this is going to write to a file that is controlled by root from a user from within

a container.

So when they run this using runc, this takes a little while but what's happening here is

that we are doing a couple syscalls in parallel in order to trigger a race condition in the

Linux Kernel and that's going to allow us to write to a file that's controlled by root

and effectively get a privilege escalation.

Okay, so the exploit has run and so what we're going to do here is we're going to check the

file that we're going to write to.

So here we were trying to write to the password file and in this case our particular exploit

wrote to the beginning of the password file.

So here you can imagine that you can write an entirely new line for our road user and

give a new password and essentially get privilege escalation.

So, what we're going to do here is we're going to run the exact same vulnerability in the

gVisor sandbox so here I have the exact same OCI bundle, so we'll look at the config.

Here we have the exact same user ID setup, UID and GID, as well as the same exploit that

we're going to try to run here.

And so what we'll do is we'll use the runsc command to invoke gVisor and we'll run this

with the ptrace and strace commands and what this will do is allow us to see the syscalls

that are being made by the exploit.

Here we can see a lot of debug.

This particular exploit is running, is calling the syscalls in a loop.

In a tight loop in two different threads and so we can see those syscalls being made here

being intercepted by gVisor.

Because we have this extra layer between the application and the Linux kernel here the

gVisor provides, we can intercept those and prevent the vulnerability from actually happening.

So now we've dropped out of the command and we're just going to take a look at our password

file to see if it has actually been written to.

So here we're going to look at the contents of the file and we can see here that the exploit

was not actually able to write to the file.

So that's super interesting actually, if a user interested in downloading gVisor, maybe

running it today, what's the minimum requirements.

How does someone get started?

Right now it's a normal open source project so we have that released on GitHub so you

can check that out and compile and run gVisor on your own it's very similar in the end to

runc in the sense that it provides two things - it provides a kind of library that you can

use to run sandbox containers as well a command called runsc which is very similar to runc

in the sense that it's a drop in, kind of replacement for runc so you can use things

like Docker to actually run a container.

Okay, great.

And if someone wants to contribute to this project?

It's an open source project as much as Kubernetes is an open source project?

Sure, absolutely, so you can contribute to the project by engaging with us through GitHub

and submitting issues and patches there and joining in the community by providing feedback

through GitHub.

That's great, thanks Ian.

For more infomation >> gVisor Demo - a new open source sandboxed container runtime - Duration: 6:22.

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The Death of SDK-less Mediation Networks - Duration: 6:00.

Hey, this is the Daily Overpass, my name is Eric and I make apps! Now today, let's talk

about the death of SDK-less mediation networks!

Alright, so last week Ad Mob sent through an email saying that on May 25th,

the same day that GDPR kicks in (we should talk about

that at some point!), on May 25th they're discontinuing support for SDK-less mediation

networks. So, I did a video about this a couple of years ago, back when it was still fairly

new, all about SDK-less mediation. And for those of you who have never used it or don't

know, it's like being able to use mediation for other networks besides Ad Mob, through

Ad Mob mediation, but not having to include all the different SDK. So, if you were going

to have Facebook audience through your Ad Mob mediation, you have to include all the

SDK's for Facebook, and all the other different ones that you use, and that kind of bloats

the size of your application. The thing I thought was really fantastic about SDK-less

mediation was that, like I use corona SDK on a lot of applications, and corona SDK only

supported Ad Mob and a few other networks, so using something like an SDK-less mediation

network meant I could just use a bunch of different networks too. Although, there were

only like four different SDK-less mediations, and one of them was smaato, S - M - A - A

- T - O, and I think I've spoken about it once before. So, it was a fantastic idea,

SDK-less mediation networks, but the downside was they all sucked. I've never heard anybody

talk about how great they were. like, the email said that you still have smaato set

up on some of your apps. Smaato is so bad that I didn't even realise I had them set

up still, I thought I'd disabled them, but I checked and I still do have some of them

set up, they just don't make any money at all. So I was really hoping that it would

work. Its terrible, for years I've been trying to make the mediation thing work a bit better

and I only have three different networks, I've got AppLovin, Ad Mob and Facebook Audience

network, and sometimes I'll shut off AppLovin for a while, if it get's too low and it's

just siphoning off money when it gets really low. So anyway, what they're replacing it

with is called Ad Mob open bidding and to be honest with you, I didn't even know anything

about it, I guess it was announced on the 22nd of March. And this is another way of

doing things, a bit like SDK-less mediation except it's done through open bidding, so

rather than relying on historical ECPM, so the CPM's go up and down and it relies on

the past performance, it's gonna rely on the bids, so you get bids from different networks

and it would automatically take the highest bid, so sounds fantastic, I need to start

using that thing. So it sounds like there's a lot of innovation going on there, and I'm

really kind of exited about it! So, like I said, I've been trying to get mediation to

work better for years. One of the things I did early on was, when I found out that you

can set up all these different mediation networks and so the highest one will go to, so if Ad

Mob happened to be low you'd go to AppLovin, if AppLovin happened to be low you'd go to

Chartboost, or whatever the different ones are. There's so many ad networks that you've

never heard of, it's like going to a festival where you've heard of a few bands, but most

of them you don't know, that's what ad networks are like. Some of them are just so minor,

there's just a few tadpole ones. Anyway, so early on I went through and I set up ad networks,

I set up all the SDK's for 10 different ad networks, i set up mediation, and what I found

that had happened was, all of a sudden, I was hardly getting any money because it was

all going off into all these different directions, and I was having little pockets of money in

different networks, and it was always lower than the monthly threshold. So it would be

every couple of months i'd get paid from them, and eventually I'd just go and turn them all

off, and I had to go and remove all the SDK's too. The thing about including the SDK's in

your application is not just the SDK's, it's not the size and everything, they usually

have permissions that need to be added and everything like that, it's just a hassle.

So hopefully it'll continue going into the SDK-less way, even though they're not supporting

the official SDK-less mediation networks, but anyway I think it's gonna be pretty cool.

I'm gonna have to look into that thing. Oh! One thing, I'll talk about this in more detail

in a future episode - we just removed every single free app from Apple on our App Store,

and we're just going with paid apps, with the exception of ear spy because that's the

only one that's really been making money lately. We're trying to decrease the amount of apps.

So I won't be able to test it out on Apple ads, but we will test it out on Google. So

anyway, just thought I'd talk a little bit about that today. Hey, how many of you guys,

tell me, because I could be wrong about this, have you used SDK-less mediation while it

still existed? And did it ever support you? Did you ever make any money from it? Because

I've talked to a lot of developers who never have. And, are you using open bidding yet?

I'm not even sure if it's available yet, but are you using it and how are you finding it

to work for you? Because I'd be really interested in knowing that too! Anyway, that's it for

today, I'll talk to you guys tomorrow!

For more infomation >> The Death of SDK-less Mediation Networks - Duration: 6:00.

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Talking Tom Jetski 2 - Get it First! (Pre-registration Teaser) - Duration: 0:34.

This summer, Go for a ride with Talking Tom!

Jump on the Jetski and splash your way to the finish line.

Enjoy fun rides through exciting tropical locations, build beach homes,

and try out dozens of wacky jetskis.

This is gonna be so much fun!

Pre-register now and be the first to play Talking Tom Jetski 2.

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It EXCEPT Orange Shirt Kid dances to anything - Duration: 2:55.

he grooves he moves and most importantly he dances to anything

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