Hey! This is the Daily Overpass! My name is Eric and I make apps! Now today, I want
to talk about the "Ad_Click Event in Firebase Analytics."
Alright. So, today, we're gonna talk about Firebase analytic, you know, again!
I wanted to talk about some of the newer features of it,
some of the things that I'm a bit excited about. So, first of all,
let's talk about advertisements. Like we talked about for about how -
sometimes, just because the app market is so crowded, sometimes you do have to
think about creating ads for your app. Just to try to get people in, you know,
you got the other free methods like trying to use social media,
trying to get people's eyes on it, whatever you can do. I mean, this is the
biggest thing as an app developer is trying to get people into your
application and then you can worry about making money from them and all that kind
of stuff. But, if you know, if people aren't walking through the door, they're
not buying anything, so you have to get people to use them. So, a lot of
times, you have to think about ads. You know, there's so many
options out there. You can do an AdMob ad, you can do house ads, you could do
Facebook ads, but the key is that you want to make sure that your ads are
going to the right people. Like you were gonna be spending money on an ad to
bring people into your app. You want to make sure they're the right people. I
mean, this is what advertisers do all the time. They're thinking about demographics
and who are they gonna - they're gonna spend all their ad money on.
They don't just put everything out to everybody and sometimes this would
be hard to determine. For me, especially if your app is free and
you make money through in-app purchases or ads, like for me, this is my
biggest apps. This is how I make most of my money, so the things I'm
interested in, those who are clicking on ads and who are making in-app purchases.
Now, with Firebase analytics, the in-app purchases part was has been there pretty
much all the time. I could see demographic information about who's
making those purchases. But one of the things they added recently like back in
June, was the ad_ click event. The ad_click event and ad impression event.
There's a few others there too and it's really interesting with- I just
implemented it, I guess, two or three weeks ago on Android but
it's been an iOS ever since. So, I want to show you some of those statistics,
talk a little bit about that and how useful it is. But first, let me warn you
I'm going to show you my screen, but I'm going to block out a little
here because you know according to the AdMob Terms and Conditions, I'm not
supposed to show you like how my ads are performing, all this kind of
stuff. I'm going to be blocking out a lot which means, I'll have to do a little
bit of editing after this, but hopefully you won't mind. Just have a
quick look at my screen over here. So, first of all, here's the analytics screen.
Now, you may have noticed, if you have your AdMob linked with Firebase
for longest time, that didn't really do anything. I knew I needed to understand why
we were doing it and then finally they made this section over here available,
which is the ad performance. And for the first few months that has been
completely empty for me, and I thought about maybe I should look into
this, that might be interesting. So, it turns out that you have to have
the latest version of Firebase installed. So, if you go to the Firebase release
notes over here, you can see that it was version 11 where they came up with this-
the ad_impression ad_click add query and exposure. All these other keywords which
they put into the framework. For me, so far, all I'm seeing out of the box, is
just ad_click and ad_impressions, but it's the click one that I'm interested
in. So, let's go back over here, and go over to events and over here, these
are all out-of-the-box events. You could track your own events of Firebase
analytics obviously, but I'm just- yeah, I guess, I'm just lazy.
I'm just lazy and I just do that out-of-the-box stuff. So, I can
see here and I see this one here, ad_click. Now this, again, I apologize for so
much being blocked out here, but what I really wanted to show you here
was, that this is really useful information. More the stuff over here on
the right side of the screen, so over here you can see, for me, the United
States is the biggest country of ad clickers. This is one of the
things I would consider when I'm creating an ad. Thinking, well, I'd
probably target it to the United States, if it was gonna be spending money on an
ad to get people in, no offense to other countries obviously, but they're the more
likely to click on ads. I have no idea why, maybe it's probably because they
have higher quality ads to be honest with you. And then, all the way
here I also have gender dynamics. So looking at this, I can see that, you know,
would target men, I would target them probably between
probably 25 to 44 years old and then just ignore everybody else
to say it. Other people, of course, are clicking on ads but
this seems to be the highest concentration. Of course, I would have to
compare this against the app opens because if that's- to see how it
correlates. Like for this, it would be- I had a look at it earlier, and I can see
that my ads are kind of split between the US and then the next one is
India. I think, I have like 20 percent of ads going to India, but in terms of
clicking, it's like it's much lower. And you compare that against
ad_impressions too, because you have that demographic. It's very much similar to
the one over here, where I have the- if I go down here, you've got the other
purchase- in-app purchase. So, if I'm talking in that, I would look at
these bits of information. Now, to find out who are the types of people
who are making in-app purchases and who are clicking on ads, and if I'm gonna go
out and do a campaign to bring people in, if I could find it makes enough money.
This is all the "big if" and you never know until you try. You go out there,
you're trying to bring people in and hopefully, you bring the right people. And
now, this demographics, to be honest with you, is not that great. You
have male or female and then age bracket, but if you're using something like, you
know, Facebook or you get information about your users. I don't get any
information about my users. I just get what Firebase gives me, but like
let's say, you get somebody to log in through Facebook, you'll get other demo
you could get. Other demographic information about them and you could
send that to Firebase, as well. So, you can add user properties- you
can add user properties to them. So, if ou know their
favorite color, whether the names of their pets, who knows
what kind of information you need. But the more information you can capture, the
better I think. This is one of the reasons why so many applications try to
get you to log into Facebook even though they don't need it. It's because
you can get like a big wealth of information that comes out of that. But
anyway, I wanted to share with you this ad_click cuz I think it's one of the
coolest things that come out it's on iOS and on Android, and a lot of
that stuff is just out of the box, what you link up your account- your AdMob
account with Firebase if you're using that. So, I hope that's been a little bit
helpful. Let me know if you're finding it useful or if you finding it lacking, or
if it's- if it's improved your life greatly. Who knows,
right? Anyway, that's it for today. I'll talk to you, guys, tomorrow!