This AI app is an AI data analyst for

marketing and you can build marketing

dashboards and reports from all of your

marketing data in a single place. Hi,

I'm Cody Schneider. I'm the co-founder

of Graph. I've been doing digital

marketing for the last 10 years of my

career. And in this video, I'm going to

show you how AI is changing marketing

analytics and how it's going to be done.

So, today what we're going to do is

build this Google Analytics 4 dashboard.

So, it's going to show new users versus

total users over time. It's going to

show us page views by source. It's going

to show userto device breakdown. And

then we're also going to look at the day

of the week that we're getting the most

traffic to a specific URL. So now let's

go and build this. It's super easy. You

don't have to know how to do anything

from a data analytics perspective. You

just have to be able to prompt. So I'm

just going to go to the homepage and I'm

going to select the data source. So I'm

going to select Google Analytics 4.

Click this dashboard button and then I'm

just going to paste in this prompt. So

it's going to go and it's going to make

all of these charts at the same time

simultaneously. So I'm going to hit send

message. And so what's happening right

now is the AI agent is basically writing

an action plan to accomplish whatever

prompt you provide it. It's then going

to write the code to pull in the data

that it needs from the data warehouse

and then it's going to write the code to

configure the chart so it can actually

make that visualization. So graph is a

data pipeline, a data warehouse and also

the visualization tool. We also train

the agent to understand the underlying

data so that you don't have to have any

data literacy. You can just ask it broad

questions and it can go and generate the

outputs that you're looking for. So

right now you can see it's streaming in

all of that data. It's doing this in

parallel simultaneously. And in a moment

you're going to actually start to see

the visualizations come in. All right.

So all those charts just streamed in.

And now I can go and add new cards to

this dashboard that I want. So I'm going

to prompt it to say add a scorecard

showing total sessions. And then I'm

going to hit send. And so while that's

working in the background, I'm now going

to go into one of these charts and I'm

going to modify it. And so next what I

want to do is I want to go and change

this chart. I don't want it to be a line

graph. I want it to be a bar graph. So,

I'm going to say change this to a

stacked bar chart. And I'm going to hit

send message. And so, the AI understands

what it's done previously. It has all of

that in context. It understands the data

it's pulled in, the code it's written,

and the config it's made. So, it can

actually go and make that modification

for me. And this is all happening at the

same time. So, that change is stream

while it's also building that scorecard

in the background. And while that's

completing, let's add another chart to

this dashboard. And this time, I'm going

to ask a question. I'm going to say,

which day of the week has the most page

views on average for the register URL?

make a bar chart of this and then I'm

going to hit send message. And so this

question that I'm trying to answer of

like, hey, is there any seasonality

that's happening within the amount of

people that are getting to the register

page, which is typically a leading

indicator that people are signing up for

the application. I can now just get an

answer to that question with a

visualization. And again, this whole

dashboard is live. All of that data is

streaming in constantly in the

background. And I can bucket this by

daily, weekly, or monthly or change the

date period. So I can just do all time

as an example. Let's do year-to- date,

actually. and it will show that data for

me. All right. So the other thing that I

can do is make this into a sharable

link. So I can basically create the

share link, copy it, share it with my

team or with So the other thing that I

can do is make this into a sharable

link. So I can create the share link, I

can copy it, share it with my team or

send it to a client. And now it looks

like it just completed. So let's just

analyze what it just did here because

it's actually crazy when you break it

down. So, we just asked the question,

which day of the week am I getting the

most page views on average to the

register page? And why we would want to

know this is to see if there's any

seasonality in the time of the week that

people are getting deeper within the

funnel. So, let's break down what it did

here to actually pull this data out. So,

it basically went and found all of the

historic page view data, bucketed it by

each day of the week, and then did an

average for each of these bar charts.

That's what you're seeing here is the

that average. And then from this, I can

have the realization or the insight

that, oh, earlier in the week is when I

get people that are most receptive to go

deeper within the funnel. So when I'm

thinking about the days I should focus

on publishing content or whatever that

is, these are the days that I should be

publishing most. And this insight, I

could just share this directly with my

team. So I could save that as a PNG or

just copy it to a clipboard and drop

that into Slack. And then finally, the

dashboard that we just built only is

using a single data source, but I can

always go and add other data sources

whenever I want. For example, say I want

to add my Facebook ads to this data as

well. I just select that data source and

then I say make a scorecard showing

total spend. I hit send message and the

agent is going to add that data source

to this dashboard and it's also going to

add that card that I just prompted it to

create. And so with this I can make and

so with this I can make these composite

dashboards that has all of my data in a

single location. Gives me a bird's eye

view of my entire marketing stack so I

can understand what's going on. And on

the data source side things are

supported like Google Sheets, Google

Analytics 4, Shopify, Stripe, Google

Search Console, Air Table, Google Ads,

HubSpot, and we're just adding new ones

as people basically ask for them. So if

you don't see one here that you need, we

can typically get them out in about 24

to 48 hours. All right, so it just added

that total Facebook ad spend to my

dashboard. I'm going to rename this. I'm

going to say space ad spend. And that's

it for today. If you want a free trial

of Graph that has a value of about $500,

use the link below and I'll do a

personal discovery call with you to

build your first dashboard out with the

pl and I'll do a personal discovery call

with you to build out your first

dashboard or you can comment or you can

comment access below and I'll send you a

personalized link so you can go and test

out Graph. This is just a small taste of

how AI is going to change marketing

analytics.