Google Analytics 4 is extremely hard to

build dashboards for. There's a massive

learning curve and understanding how to

get the data that you need out of Google

Analytics 4 to understand it can be a

huge lift. It can take a lot of time.

But AI is totally changing that. It's

making it where you can just prompt to

pull the information out of Google

Analytics 4 that you need. And in this

video, I'm going to show you how to make

a live dashboard about your Google

Analytics 4 data entirely with AI. All

right. So, the app that we're going to

be using today is this company called

graph.com. It's an AI dashboard builder

and it has all these data connectors

that you can use to get your data into

the application. So, once you sign up

for free, you're going to be dropped

into a app dashboard that looks like

this. And this is where you're going to

prompt to build the dashboard from. I'm

going to come back to that in just a

second. Before we do that, let's talk

about data sources. So you can connect

your data sources by going to the

settings page and connecting a data

source. And so for this one, it would be

Google Analytics 4. And once I've

connected that data source, I'm going to

see it in this select source. And I'm

going to go and now prompt build a

dashboard about this data and hit send

message. And immediately what it's going

to start doing is writing code to pull

in the information that it needs to

build out a dashboard of all of the most

relevant information that a Google

Analytics for dashboard should have. And

the best part about this is you don't

even have to learn how to use the

application. This is why it's so

powerful for data analytics. You just

have to be able to describe what you

want in plain English and then the

application is going to be smart enough

to go and pull in that information. So

it just completed its initial creation

of this dashboard. You can see all of

this code that's streaming in here. So

what's happening is it is writing the

code that's necessary to create the

interactive graphs that you need for

whatever data that it's pulling in. And

this dashboard is completely

customizable. I'm going to show you that

in a second. I can edit the position of

these, change the size, etc. And I can

also go and modify the dashboard by

prompting within the chat box. I can say

whatever I want here in this chat box. I

can select the different chart types

from bar, line, pi, table, etc. And it

did user by session over time. It's

looking at total sessions versus total

users. It also created a graph showing

new users by average session duration.

This is something that's really valuable

actually now that I'm looking at this

because I can see that the session

duration on average is increasing over

time which means that we're improving

the overall value of the pages the

application that the people are landing

on. And then we also have sessions by

referral source. So you can see direct

Twitter, Facebook, Google, email and we

have the top pages that people are going

to from a page view standpoint. So to

the homepage it's 10,000 page views. So,

it just made this out of the box, but

now I want to go and modify it. And so,

I can do that. I can say something like

make an area chart that shows me new

users over time. And I hit go. And it's

going to start rendering that graph

right below in the dashboard. And while

it's working on that graph, I can do

more things. I can ask it questions

like, how many people are getting to the

register page on mobile and on desktop?

I'm trying to understand if more people

are getting to the registered page on a

mobile phone or a desktop device. And I

can take that broad question and I can

ask that and it's going to go and create

a graph that's most likely to answer

that question for me. And while it's

working on that register page views

graph, I'm going to go and just do some

research and I'm going to ask AI what

are the most important things I should

have in my Google Analytics for

dashboard. And I'm just using this as a

way to get ideas of what should be

included in my dashboard. And I like

this just total users. Let's make a

scorecard of that. So I'm just going to

copy that and select the chart type as

scorecard. And then paste in users,

total number of users over time. So it

just is going to go generate that. And

let's read through some of these other

ones. Active users, new users, sessions.

I also want to track returning users.

Let's get that added in there as well.

But I want to make this a area chart.

So, I'm going to select area chart and

then paste that in. And it looks like

this one's having an error loading. So,

let's go see what's going on here. I'm

just going to go and ask it why aren't

you showing data? And what just happened

there is it just reasoned. It expected

the database schema to try to understand

it better. And it's now writing new code

to try to fix the query that it's trying

to execute. And then something else that

I found interesting in this is we're

driving traffic from one of the emails

that we send from. So, I'm going to take

that and I'm going to say graph sessions

by source. have this be a line graph

over time. And what I love about this is

that you can use the data in the

dashboard to help influence what other

graphs that you should make within the

dashboard. So as questions arise, you

can just answer those super quickly.

Now, let's go back to this one. It's

actually prompting us with the reasoning

behind why it can't move forward. So

let's see why. And when it gets stuck

like this, what I end up doing is

changing the t chart type into table and

then redescribing what I'm trying to

create. show me page views of the

forward slashregister page by device

type. And that's how you can really

easily use AI to build a dashboard for

your Google Analytics for data. AI is

going to totally change how we do data

analytics. It's basically it's basically

going to make it so that every person on

your team is going to be able to

understand the data and get insights

from that data. And if you want to sign

up for graph.com, click the link in the

description. You'll get a 14-day free

trial. And full transparency, I am one

of the co-founders of Graph. I want

whatever feedback that you have. We're

building this in public. You can comment

below any of the questions that you

have.