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Why hello there, It's Tuesday 
because you're listening to this

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and also because after every 
Monday and before every 

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Wednesday comes Tuesday. 
Best day of the week apart from 

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some of the other days. 
Thanks so much for tuning in. 

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If you haven't tuned in before, 
my name is Nick and I've been 

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hosting the show for a little 
while now, which is totally 

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irrelevant, but it's a lovely 
fun fact I like to read out and 

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it's my podcast, so I get to say
things like that. 

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Anyway, we're going to talk 
about two very, very exciting 

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things today. 1 is about a Canva
integration with a couple of 

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apps from Saguna, our partners 
that you need. 

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It's incredible. 
I've actually got quite a long 

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list of things. 
There's 8 things they've updated

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on across the board on the on on
two different apps, which is 

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very exciting. 
And there'll be a link in the 

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description to go and check out 
more about out or to the link, 

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an actual link to the apps 
themselves. 

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And then we're going to talk 
about a gentic AI and focus 

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groups and customer feedback 
surveys and a whole range of 

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other things, which will make 
things fast, free, and 

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incredible thanks to the 
beautiful work at Open AI. 

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And some other AI tools can all 
do the same. 

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Anyway, without further ado, 
let's jump in and see what's 

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going on. 
So Saguno, I am reading off 

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notes today, which is quite rare
for me because I don't want to 

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get any of this wrong because 
it's not my world, but I'm very 

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excited by it. 
Well, it is my world. 

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What's a good analogy? 
It's my world, but not my 

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country. 
It's one where you could do it. 

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I work in marketing, not this 
kind of marketing but there are 

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two apps that Saguno have. 
There is the e-mail marketing 

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one which will come to in a SEC 
and there is also Shopify 

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connect for Canva which is super
exciting. 

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You can now connect in Canva for
designing stuff at next to 

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nothing and Canva have amazing 
AI as well. 

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In Canva, you can now connect 
your Shopify product images. 

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Wow, mind blown. 
So if you want to put of your 

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products on a beach or in 
somebody'd house or on 

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somebody'd person, you can use 
AI in Canva to do that and you 

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can grab the product images from
Shopify. 

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No more downloading, uploading, 
downloading, uploading, 

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downloading up there, you know 
and you get the idea. 

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You can edit images within Canva
for product variants. 

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So good. 
So you know when you have 5 

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colours of this item, but you 
only got pictures of it in 

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Lifestyle Shotti for one of 
those colours for the blue one, 

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not the red, yellow or green, 
the red, yellow and green. 

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You can sort that out in Canva. 
Super, super exciting. 

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You can also see the product 
details on featured images 

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within Canva as well. 
And you can also collection link

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now available. 
So you can link collections. 

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So exciting. 
If you're not using Canva, you 

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absolutely should be. 
Gone are the days of talking to 

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designers for hours and hours 
and hours about going back and 

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forth and what to do. 
I built my own annual leave 

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system at Spec and we tried to 
come up with a fun name. 

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It's called holiday and I built 
Holiday using AI and I got an 

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AI, it's called Vibe coding. 
I've got an AI tool that I talk 

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to and it's built that so now I 
don't have to pay 10s of pounds 

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a month, hundreds of pounds a 
year, thousands of pounds every 

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decade on an annual leave system
that doesn't quite work how I 

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want it to. 
Few things I have to do 

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manually. 
I just built my own, integrates 

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with calendars, does all sorts. 
It's fantastic. 

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But it's same with this Canva 
link up. 

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If you're not using Canva 
already for your business, for 

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Shopify store, you absolutely 
should be. 

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Again, I spent so much of my 
life trying to learn things like

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Photoshop. 
I'm not a creative. 

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Using something like Canva makes
it so easy, so simple, and 

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especially if you're connecting 
it to Shopify using their apps. 

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Their app's called Shopify 
Connect for Canva and it's made 

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by not Shopify, made by Saguna. 
So go and check out that app, 

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Saguna e-mail Marketing. 
We talk a lot on the show about 

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e-mail marketing and Saguna are 
our favorite partner, which is 

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why we've let them sponsor and 
thank you guys for sponsoring as

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well. 
We love working with you. 

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We also did a webinar with them 
last week that'll be live soon. 

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I think it might be going live 
this weekend and depending on 

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when you're watching this, but 
anyway, it should be live soon 

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and there'll be a link. 
We're not going to post it on 

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the podcast itself. 
But if you want to check out 

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that webinar with Tax Cloud and 
Saguno talking about the biggest

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threats to your business for 
this year, go and check out our 

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YouTube channel and things. 
It should be live soon. 

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If you're on our e-mail list, 
you'll get an e-mail when that 

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goes live. 
But the second one is Saguna 

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e-mail Marketing. 
You can now create a Canva 

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design from within the e-mail 
editor. 

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So exciting. 
The biggest part of all of this 

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is trying to take something from
an idea to execution as fast as 

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possible so you can create a 
Canva design from within the 

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e-mail editor. 
If you're using Saguno, you can 

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edit any image from your Shopify
store with Canva and then export

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it into your e-mail. 
So if you make a cool image and 

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go, that's nice. 
You can put it straight into the

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Saguno e-mail app and use it in 
your emails. 

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You can edit and update all 
images saved as Canva designs 

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from inside Saguno or from your 
Canva library. 

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So exciting. 
So any image you've got on 

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there, you can start editing in 
one place and it'll be on both. 

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And you can automatically save 
images created in Saguno to a 

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shared folder. 
So if you make an image in 

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Saguno using Canva, that will 
automatically be saved in a 

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shared folder within Shopify. 
So you can use it within the 

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design of the site or your 
collection or a blog post, 

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etcetera, etcetera, etcetera. 
And they finished by saying 

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this. 
I love this. 

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Speed up your workflow, find 
both apps in the Shopify App 

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Store and more ways to use 
Shopify and Canva together. 

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So make sure you guys go and 
check that out. 

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Super, super exciting. 
Anyway, how expensive and 

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frustrating and time consuming 
is it to get a lot of customers 

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together and then get those 
customers to give you some 

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feedback and then look at the 
usability statistics of your 

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website. 
And then the analytics will tell

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you what people did and not why.
The user group will tell you 

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what they think in the moment 
and a million factors could have

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influenced what they say in the 
moment. 

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So what if, what if you could do
all of that for free and you 

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could do it near enough 
instantaneously, just as fast as

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you could type a message and 
then imagine that you could just

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change one parameter like that. 
I don't know if you heard that I

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clicked my fingers, but you can 
just change a parameter 

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instantly and suddenly have 
something quite different 

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happening in that focus group, 
in that audience, in that 

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feedback that you were using. 
Well, the time has come to do 

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that with AI. 
It's called a gentic AI. 

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So you can get customer 
feedback, do it in seconds. 

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I'm going to give you a bit of 
A123451 to five on how to do 

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this, and we're going to talk a 
little bit about what a genetic 

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is within AI. 
It's in ChatGPT, and I think 

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Gemini has an option for it, and
so does Grok and a few others. 

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You might need to pay the 
subscription to get this 

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feature, but for $20.00 a month,
gosh, how much more is it going 

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to cost you in just time alone, 
talking to a feedback group when

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this can give you a huge amount 
of feedback. 

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Anyway, I'm going to give you 
some examples of how we're using

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it. 
Basically agentic modes. 

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I only realised today, I knew 
agentic mode. 

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I only clocked when I was on 
chat TBT. 

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I was like agentic. 
That is just agent but with a 

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more technical name to make it 
agentic. 

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So it's just an agent. 
So you put it in agent mode. 

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So rather than normally as you 
normally do with AI, you give it

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a command and then it sends 
something back that's quite cool

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and it gives you an answer. 
This is where you actually say I

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want you to act on my behalf. 
I want you to make decisions, I 

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want you to ask me questions. 
So the first thing you should do

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is, and again, if you don't have
any customers yet, if you're 

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starting out or you're, you've 
only getting like a sale or two 

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a day and you're like, we don't 
have enough customers to try and

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sit any of them down. 
But we need this information. 

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And you want to find out how 
they're using your website, 

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where the pain points are, where
some of the emotional, emotional

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friction happens, where they're 
like, oh, I don't like that or I

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don't understand that or that's 
too confusing. 

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Those are the things that the 
data on your website, it's going

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to be not impossible, which can 
be quite hard to get some of 

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that data out. 
If people just prefer it in 

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yellow than they do in blue. 
The data's not going to tell you

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that data's just going to say 
conversion rates dropped or your

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there's something wrong with 
this page. 

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Maybe not quite what the most, 
the most important thing I 

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think, and the biggest thing 
that I see a lot of brands just 

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totally missing out on is that 
they make assumptions. 

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And I'm going to use a very 
friendly way of saying this. 

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It's a very unfriendly way of 
saying this. 

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Assumptions are the beginning of
all screw ups. 

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We call it screw ups. 
You can change the word screw to

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whatever you want, but they are 
that is the beginning of every 

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issue is when somebody's made an
assumption. 

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We have a bit of a thing in our 
company values here of like 

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question and challenge 
everything, literally 

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everything. 
So when clients are like, yeah, 

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we're growing really, really 
well at the moment. 

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We have a look at the data and 
go, are you like you're growing 

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a little bit? 
I wouldn't say growing well like

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you've, it's actually your worst
year for growth in five years. 

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Like, let's just be honest about
the stats because the changes in

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the strategy of what we're going
to do and the, and the job in 

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hand, doesn't it? 
Some people say like, oh, our 

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marketing's fallen off a Cliff. 
No, hasn't your marketing and 

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sales and customer acquisitions 
flat? 

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But see, this is, this is a 
really powerful way of 

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overcoming that. 
So agent mode is an agent act on

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my behalf, please. 
So first thing you want to do is

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rather than giving it your 
audience and going our audience,

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you know, our average audience, 
she's called Susan and she lives

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in New York and she's single. 
She spends her weekends in 

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cafes. 
Rather than doing that, just 

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give it the website and say can 
you create me an audience? 

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And, and, and this is the most 
important bit as well as and 

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tell me what you need. 
Make me an audience or maybe 4 

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audiences. 
I think we did four with one of 

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our clients recently and at the 
end we were like, we could have 

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literally done 10 and it 
wouldn't have taken much more 

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time, but would have given us a 
bit more info and and ask it 

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what you need. 
So you say to ChatGPT, make the 

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audience what do you need? 
And ChatGPT will come back and 

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say, all right, let me know 
what's your best selling product

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at the moment? 
What's most popular? 

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How do you drive most of the 
traffic into sight? 

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And if you say most of it's 
coming from TikTok, it will 

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factor that that into the 
audience it creates ago. 

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They're on TikTok. 
Therefore, we can make some 

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assumptions and we know what 
device they're on. 

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We know they're definitely on 
mobile because you can only use 

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TikTok on mobile. 
They can take the cues on 

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desktop. 
So do you say, I mean, there's 

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loads of things like that. 
You can start, it can start to 

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draw from that number 2, ask it 
to use your ask it to use your 

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website using what it knows 
about customers already. 

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And what it will do then is 
because AI is scraping the 

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Internet all the time, it will 
go. 

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I've seen a news article about 
you guys. 

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I've seen some reviews on on 
reviews dot IO or Trustpilot or 

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judge me. 
I've seen some reviews about 

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this brand. 
I've seen some people on social 

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mentioning this brand before as 
well, before you've brought it 

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up. 
And so I think it's quite 

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exciting actually saying like, 
you know, give me some feedback 

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00:10:06,680 --> 00:10:10,280
or help me create a, an AI 
audience group, an A genetic 

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audience or some audiences for 
my business or some groups of 

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audiences. 
I think a group of audiences is 

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good. 
I think go somewhere between 

227
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sort of like 3 and 10 different 
audience bases. 

228
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But ask it like, what do you 
think my audience is based on 

229
00:10:25,280 --> 00:10:27,760
the website already. 
And then you can tell it and say

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you can even get it to do some 
number crunching. 

231
00:10:30,120 --> 00:10:32,480
You could say here's an export 
of all first names of my 

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audience. 
What can you tell me about that?

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00:10:35,040 --> 00:10:37,240
And they can say we think your 
audience is over the age of 50 

234
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because of the names. 
Those names are not as popular 

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now as they were 50 years ago 
where babies would be born. 

236
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So we think your audience is 
around the age of 50. 

237
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Or we might come back and say 
you're 70% female, 10% male, and

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20% unknown. 
So it could be names like Sam, 

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which could be a boy or a girl, 
depending on what they go by. 

240
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So #3 And first thing we'll do 
crawling the reviews and say 

241
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crawl. 
Here's a link to all the reviews

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that we've got on our review 
plug in. 

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00:11:04,240 --> 00:11:06,000
Tell us what you know. 
Tell me what you know about my 

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audience based on this or help 
me build a, you know, help me 

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00:11:08,400 --> 00:11:12,560
put an audience segmentation. 
Now we get into the fun bit. 

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Now go and visit the website and
try to buy a product or try to 

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book an event, try to book a 
hotel room, try to make an 

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enquiry as audience 3, whoever 
they are, and you can do it with

249
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each audience. 
We say visit the site as all 10 

250
00:11:29,400 --> 00:11:32,760
audiences and now give me a 
report on each one and the thing

251
00:11:32,760 --> 00:11:35,000
you want to specifically ask it 
and it's where my team have been

252
00:11:35,000 --> 00:11:36,440
using it in quite an advance 
way. 

253
00:11:36,680 --> 00:11:39,120
You specifically want to ask it 
things like what are some of the

254
00:11:39,120 --> 00:11:42,120
emotional sticking points? 
What information do people 

255
00:11:42,120 --> 00:11:45,840
clearly need to make their 
decision if we just rather than 

256
00:11:45,840 --> 00:11:47,840
talk about all the other things 
like booking an event and stuff,

257
00:11:47,840 --> 00:11:50,040
I'm just going to talk about 
e-commerce there making a buying

258
00:11:50,040 --> 00:11:51,360
decision. 
What information do they need 

259
00:11:51,360 --> 00:11:53,800
about the product, the business 
that they're not getting at the 

260
00:11:53,800 --> 00:11:55,360
moment? 
What information are they 

261
00:11:55,360 --> 00:11:58,560
getting that is powerful, useful
and, and sort of ticks the box? 

262
00:11:59,160 --> 00:12:01,080
And again, that's, that's a 
really, really powerful way then

263
00:12:01,080 --> 00:12:04,360
of getting some incredible 
feedback back from AI and you 

264
00:12:04,360 --> 00:12:06,480
get it instantly and it's not 
actually instant, but it might 

265
00:12:06,480 --> 00:12:09,360
take it like 30 seconds a minute
to actually get all of that 

266
00:12:09,360 --> 00:12:11,560
information. 
And how powerful is that? 

267
00:12:12,080 --> 00:12:14,880
We did it with we did it with 
one of our clients a few weeks 

268
00:12:14,880 --> 00:12:17,520
ago and it came back saying 
things like there's a membership

269
00:12:17,520 --> 00:12:19,240
option. 
You can become a member of this 

270
00:12:19,240 --> 00:12:21,880
business. 
And it came back saying didn't 

271
00:12:21,880 --> 00:12:25,080
quite understand the fact that 
most people don't are not based 

272
00:12:25,080 --> 00:12:27,280
near this site more than once a 
year. 

273
00:12:27,560 --> 00:12:29,960
But you have to buy an annual 
membership to go, which is quite

274
00:12:29,960 --> 00:12:32,080
expensive. 
So the upfront cost against the 

275
00:12:32,720 --> 00:12:36,080
visit frequency doesn't doesn't 
seem like a good option at all. 

276
00:12:36,280 --> 00:12:38,360
So we think this audience group,
they're not going to buy from 

277
00:12:38,360 --> 00:12:40,120
you or they're going to be such 
a low percentage, we wouldn't 

278
00:12:40,120 --> 00:12:42,320
recommend targeting it. 
The genuine thing that which AT 

279
00:12:42,320 --> 00:12:45,000
GBT came back and told us, which
is incredibly valuable. 

280
00:12:45,560 --> 00:12:47,560
The biggest thing here as well 
is when we're having those 

281
00:12:47,560 --> 00:12:50,400
conversations with clients or if
you're having them internally as

282
00:12:50,400 --> 00:12:53,760
a business, it's a really 
important point to say, well, 

283
00:12:53,920 --> 00:12:56,720
the AI was really, really clear 
using all the data it has 

284
00:12:56,720 --> 00:12:58,760
available. 
But actually our offering is 

285
00:12:58,760 --> 00:13:01,440
complicated. 
I'll give an example and I'll 

286
00:13:01,480 --> 00:13:04,520
come on to the yeah, come on to 
the fifth point on this, which 

287
00:13:04,520 --> 00:13:06,280
is like the output, the big 
output you're looking to really 

288
00:13:06,280 --> 00:13:08,600
get from this. 
But a really good example of 

289
00:13:08,600 --> 00:13:10,680
this is if you've got slightly 
complicated delivery 

290
00:13:10,680 --> 00:13:12,680
information, if you're an 
American business and the 

291
00:13:12,680 --> 00:13:16,040
delivery cost is slightly 
different state by state, the 

292
00:13:16,040 --> 00:13:18,120
biggest thing that turns 
customers off and stops them 

293
00:13:18,120 --> 00:13:20,640
buying on a website is confusion
or unknowns. 

294
00:13:20,880 --> 00:13:24,120
We had a client we were looking 
at, we came to see you guys over

295
00:13:24,120 --> 00:13:27,120
in, over in the West Country 
just just on Friday last week. 

296
00:13:27,400 --> 00:13:29,160
And we was, we were saying like,
and again, it's a bit of an 

297
00:13:29,160 --> 00:13:30,680
assumption we're going to see 
what the data does. 

298
00:13:30,680 --> 00:13:32,560
But it said shipping calculated 
at checkouts. 

299
00:13:32,560 --> 00:13:34,720
So we had a bit of a 
conversation about that and 

300
00:13:34,720 --> 00:13:36,280
said, let's just remove it for 
now. 

301
00:13:36,280 --> 00:13:39,880
Let's take the ambiguity out and
see if people then don't even 

302
00:13:39,880 --> 00:13:41,000
question it. 
And then when they get to the 

303
00:13:41,000 --> 00:13:43,880
checkout, it says delivery cost 
is this or you qualify free 

304
00:13:43,880 --> 00:13:45,360
delivery. 
And we're going to come up, 

305
00:13:45,360 --> 00:13:47,200
we're going to put on more 
bullet points about the free 

306
00:13:47,200 --> 00:13:50,240
delivery and stuff later. 
But just that unknown is scary. 

307
00:13:50,240 --> 00:13:53,120
So if your delivery information 
across all the states in America

308
00:13:53,120 --> 00:13:55,400
or you're shipping 
internationally and it's a bit, 

309
00:13:55,480 --> 00:13:58,920
it's not a simple like 
international shipping is 3030 

310
00:13:58,920 --> 00:14:02,640
dollars unless you spend $500 
and then it's free. 

311
00:14:02,840 --> 00:14:04,720
That's quite simple to 
understand and you can 

312
00:14:04,720 --> 00:14:07,920
definitely put it in less words 
than than I just said and free 

313
00:14:07,920 --> 00:14:12,120
over 500 or 30, £50 or $30 
whatever for, for the delivery. 

314
00:14:12,120 --> 00:14:14,800
So if that's an issue, create 
some of these audience groups 

315
00:14:14,800 --> 00:14:17,360
and say to ChatGPT, visit, go 
onto the site as each audience 

316
00:14:17,360 --> 00:14:22,240
group and tell me what the 
ambiguity is or how ambiguous or

317
00:14:22,240 --> 00:14:24,160
how confusing our delivery 
information is. 

318
00:14:24,640 --> 00:14:27,800
And then my final point in this,
my fifth point is what you need 

319
00:14:27,840 --> 00:14:31,400
to use AI for is to connect the 
technical deployment with the 

320
00:14:31,400 --> 00:14:34,520
emotional issues. 
So the emotional issue there is 

321
00:14:34,560 --> 00:14:37,600
it's confusing or it's kind of 
OK or it makes sense, but it's 

322
00:14:37,600 --> 00:14:40,800
quite wordy. 
And customers certainly audience

323
00:14:40,800 --> 00:14:43,280
Group 4, they're in a hurry. 
They want to buy stuff quickly. 

324
00:14:43,280 --> 00:14:45,720
So if you want to target more of
that group, it needs to be like 

325
00:14:45,720 --> 00:14:48,840
just at a glance and in less 
than less than two seconds needs

326
00:14:49,120 --> 00:14:51,080
to be really, really clear and 
easy. 

327
00:14:51,680 --> 00:14:52,760
And that's what you want to ask 
it for. 

328
00:14:52,760 --> 00:14:55,280
Is that technical deployment? 
Like what should I change this 

329
00:14:55,280 --> 00:14:57,600
to give me some alternatives of 
what the delivery information 

330
00:14:57,600 --> 00:15:00,600
could say or that client of ours
as well, the physical location. 

331
00:15:00,600 --> 00:15:03,440
It's like what you know what, 
what, what should the membership

332
00:15:03,440 --> 00:15:04,760
look like? 
What can it say? 

333
00:15:05,000 --> 00:15:07,600
We even ask it. 
Then go one step further. 

334
00:15:08,000 --> 00:15:11,000
Please do a mock up of what it 
could look like on the site. 

335
00:15:11,240 --> 00:15:12,880
And it uses your site to do 
that. 

336
00:15:13,240 --> 00:15:15,600
Another brand we, we've just 
agreed to start working with. 

337
00:15:15,920 --> 00:15:18,600
And again, I know James, you 
listen to listen to the show. 

338
00:15:20,040 --> 00:15:22,200
I think I mentioned you last 
week actually as well. 

339
00:15:22,200 --> 00:15:24,400
But it was fascinating when we 
spoke to you guys and you 

340
00:15:24,400 --> 00:15:26,560
mentioned about the blog and we 
said, let the no one looks at 

341
00:15:26,760 --> 00:15:28,720
you get loads of traffic on the 
blog, but no one buys anything. 

342
00:15:28,880 --> 00:15:30,720
And the blog's a bit old. 
And you guys were like, maybe we

343
00:15:30,720 --> 00:15:31,800
we'll think about redesigning 
it. 

344
00:15:31,800 --> 00:15:34,160
So just on the train home built 
a new design and sent it across 

345
00:15:34,160 --> 00:15:36,280
to you guys, both desktop and 
mobile version. 

346
00:15:36,280 --> 00:15:38,560
It was just really cool the way 
it just sort of structured stuff

347
00:15:38,560 --> 00:15:40,800
and it looks, it looks pretty, 
pretty nice and neat, which is 

348
00:15:40,800 --> 00:15:42,480
amazing. 
And again, it was just giving 

349
00:15:42,480 --> 00:15:44,760
you some very, very quick ideas 
and it's very visual so everyone

350
00:15:44,760 --> 00:15:47,200
can understand it. 
Gone are the days of doing these

351
00:15:47,200 --> 00:15:50,520
really long drawn out sort of 
like, you know, design meetings 

352
00:15:50,520 --> 00:15:52,800
and marketing about who we are 
and what we want to stand for. 

353
00:15:52,800 --> 00:15:55,600
It's like let our customers 
decide and AI can help that 

354
00:15:55,600 --> 00:15:58,560
happen a bit quicker. 
That all sounds great. 

355
00:15:58,560 --> 00:16:00,760
So hopefully you've not stopped 
listening and gone. 

356
00:16:00,760 --> 00:16:03,240
I've got enough now because I've
got 2 warnings for you on this. 

357
00:16:03,920 --> 00:16:07,480
We have had some very bad 
results and bad responses from 

358
00:16:07,480 --> 00:16:09,480
this as well. 
So I've got a couple of points 

359
00:16:09,480 --> 00:16:11,480
here. 
Number 1 is like any good tool, 

360
00:16:11,480 --> 00:16:14,880
it depends on how it's used. 
If you're, we didn't just get up

361
00:16:14,880 --> 00:16:16,720
one day and start using it for 
that. 

362
00:16:16,720 --> 00:16:18,480
We've had a lot of failed 
attempts and we've gone back to 

363
00:16:18,480 --> 00:16:21,000
clients saying we're using the 
genetic AI audience to, you 

364
00:16:21,560 --> 00:16:23,520
know, to look at your site or 
three groups that it came up 

365
00:16:23,520 --> 00:16:26,720
with groups of people and the 
customers come back and say that

366
00:16:26,720 --> 00:16:29,560
that's definitely not our 
customer and This is why and 

367
00:16:29,560 --> 00:16:31,920
actually had some pretty good 
concrete, concrete data LED 

368
00:16:31,920 --> 00:16:34,360
reasons as to why they weren't 
our customers. 

369
00:16:34,560 --> 00:16:37,120
But that did lead a little bit 
to a conversation going, well, 

370
00:16:37,120 --> 00:16:39,400
we, that's our brand positioning
and what we're trying to target 

371
00:16:39,400 --> 00:16:41,880
right now, you know, picture of 
the London skyline on our 

372
00:16:41,880 --> 00:16:44,440
homepage. 
And actually 99% of our 

373
00:16:44,440 --> 00:16:45,600
customers are not based in 
London. 

374
00:16:45,800 --> 00:16:48,640
It's like, right, no more London
Eye, no more Gherkin, get rid of

375
00:16:48,640 --> 00:16:49,840
all of that. 
No Millennium Dome. 

376
00:16:49,840 --> 00:16:51,760
Like we, you know, we actually 
need to put a bridge in 

377
00:16:51,760 --> 00:16:53,680
Newcastle or something. 
It's got a big customer base 

378
00:16:53,680 --> 00:16:55,480
there. 
But again, like everything, it 

379
00:16:55,480 --> 00:16:58,520
depends how you use this and 
say, by using it in the right 

380
00:16:58,520 --> 00:16:59,400
way, you'll get the right 
result. 

381
00:16:59,400 --> 00:17:02,000
If you don't use it in the right
way, things like this will drain

382
00:17:02,000 --> 00:17:04,640
a lot of time. 
And worse still, because we're 

383
00:17:04,640 --> 00:17:07,319
talking about a customer 
feedback, a gentic AI group, 

384
00:17:07,960 --> 00:17:11,200
there is a chance that there is 
a chance that if we get this 

385
00:17:11,200 --> 00:17:14,359
wrong, it's going to lead to a 
lot of investment and spend on 

386
00:17:14,359 --> 00:17:16,480
things that won't yield a good 
result because it was the wrong 

387
00:17:16,480 --> 00:17:18,200
information in the 1st place. 
You need to be very, very 

388
00:17:18,200 --> 00:17:21,079
careful with stuff like this. 
But it is exciting the way that 

389
00:17:21,319 --> 00:17:24,400
the tools are evolving and, and,
and tech and AI are evolving. 

390
00:17:24,800 --> 00:17:27,720
The second thing and the last 
thing for me today is it'll only

391
00:17:27,720 --> 00:17:31,320
do what you ask. 
So on the three or four examples

392
00:17:31,320 --> 00:17:33,800
I've given while I've been 
talking about this, all of them 

393
00:17:33,800 --> 00:17:37,320
started with data. 
So the delivery information one,

394
00:17:37,320 --> 00:17:40,720
for example, we looked and saw 
loads of people are visiting 

395
00:17:40,720 --> 00:17:44,800
site, viewing products, adding 
to cart, and then when they get 

396
00:17:44,800 --> 00:17:47,960
into check out, we had all this 
set up on GA 4 when they when 

397
00:17:47,960 --> 00:17:50,520
they reached the point that it 
actually estimated the delivery 

398
00:17:50,680 --> 00:17:53,480
big drop off. 
So we didn't go into that going,

399
00:17:54,320 --> 00:17:56,760
you know, tell me, tell me off 
the bat, like what's wrong with 

400
00:17:56,760 --> 00:17:59,640
this site? 
We went in saying people are 

401
00:17:59,640 --> 00:18:01,840
dropping off at checkout and we 
think it's because of delivery, 

402
00:18:01,840 --> 00:18:05,160
but go and use the site as this 
audience group or as our main 3 

403
00:18:05,160 --> 00:18:08,040
audience groups. 
Go and use the site and come 

404
00:18:08,040 --> 00:18:10,640
back and tell us how ambiguous 
or how confusing whatever the 

405
00:18:10,640 --> 00:18:12,840
delivery information is. 
And it came back and made a good

406
00:18:12,840 --> 00:18:15,920
point that based on our average 
order value, the delivery cost 

407
00:18:15,920 --> 00:18:18,720
was quite high compared to the 
average order value. 

408
00:18:19,080 --> 00:18:21,880
Therefore, the best approach for
us as business is to be A 

409
00:18:21,880 --> 00:18:25,840
upfront about the delivery cost 
and B, actually be upfront about

410
00:18:25,840 --> 00:18:27,880
when you get free delivery 
because that wasn't also wasn't 

411
00:18:27,880 --> 00:18:29,200
clear on the site. 
So you see how it's come back 

412
00:18:29,200 --> 00:18:31,840
with some some interesting 
points by visiting the site and 

413
00:18:31,840 --> 00:18:33,840
getting some good qualitative 
data on it. 

414
00:18:33,840 --> 00:18:35,920
But again, we started with a 
piece of data. 

415
00:18:35,920 --> 00:18:39,680
So we use real hard facts and 
evidence to say to the agentic 

416
00:18:40,440 --> 00:18:42,600
AI audience like this is the 
issue. 

417
00:18:42,600 --> 00:18:45,640
Send in the three audiences and 
feedback what you find for each 

418
00:18:45,640 --> 00:18:47,480
audience. 
I hope it's been useful. 

419
00:18:47,480 --> 00:18:49,240
Super exciting and I hope I 
haven't sent too many of you 

420
00:18:49,240 --> 00:18:51,720
down the rabbit hole. 
I've wasted so much of my life 

421
00:18:51,720 --> 00:18:53,240
on AI. 
That annual leave system sounds 

422
00:18:53,240 --> 00:18:55,840
great. 
I'm 108 messages in because you 

423
00:18:55,840 --> 00:18:59,440
pay per message you send the AI 
108 messages and I've made my 

424
00:18:59,440 --> 00:19:01,800
first app so super exciting. 
I've made quite a few now 

425
00:19:01,800 --> 00:19:03,600
anyway, but and I'm getting 
better at it. 

426
00:19:03,600 --> 00:19:06,000
But that's my point is like 
don't expect perfect result 

427
00:19:06,000 --> 00:19:07,400
overnight. 
And also the AI is still 

428
00:19:07,400 --> 00:19:08,920
learning. 
So the more information you give

429
00:19:08,920 --> 00:19:10,280
it, the more it will learn. 
But there's also some 

430
00:19:10,280 --> 00:19:12,040
information you probably don't 
want to share with it or 

431
00:19:12,040 --> 00:19:15,080
shouldn't share with it from a 
GDPR or data protection 

432
00:19:15,200 --> 00:19:16,640
perspective. 
Hope you enjoyed today. 

433
00:19:16,800 --> 00:19:19,240
We'll be back again on Friday 
with some seriously exciting 

434
00:19:19,240 --> 00:19:21,280
episodes. 
Just after recording this, I'm 

435
00:19:21,280 --> 00:19:23,960
heading to a studio in London to
record most incredible episode 

436
00:19:23,960 --> 00:19:25,760
with the DMA. 
I'm so excited to get the 

437
00:19:25,760 --> 00:19:26,840
episode out. 
We're talking about cookie 

438
00:19:26,840 --> 00:19:29,600
banners, laws and all sorts of 
other stuff that I'm not I'm not

439
00:19:29,600 --> 00:19:31,000
qualified to comment on, but 
Chris is. 

440
00:19:31,000 --> 00:19:33,960
I'm looking forward to seeing 
Chris later today and and 

441
00:19:33,960 --> 00:19:35,760
recording that which be out in 
the next few weeks. 

442
00:19:35,760 --> 00:19:37,280
I don't know when the schedule 
is, but be out soon. 

443
00:19:37,680 --> 00:19:39,480
Yeah, thanks for shooting him. 
Hit subscribe button if you 

444
00:19:39,480 --> 00:19:41,120
haven't ready, go join 
newsletter on the website. 

445
00:19:41,320 --> 00:19:43,120
And if you got any ideas want to
get involved in the show, you 

446
00:19:43,120 --> 00:19:44,960
got a story to tell, then please
reach out to us. 

447
00:19:44,960 --> 00:19:46,800
Hello at winning with 
shopify.com. 

448
00:19:46,800 --> 00:19:47,680
I've been Nick, you've been 
great. 

449
00:19:47,680 --> 00:19:49,400
Thanks so much for tuning in. 
See you next time.

