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Hello and welcome to another 
episode of Winning with Shopify 

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podcast to be your host, Nick 
Truman. 

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It is Tuesday, which can only 
mean one thing. 

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It is Tuesday tea break talks. 
How exciting. 

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We're going to run through some 
news. 

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We're going to run through a few
articles, have found a couple of

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stats. 
We're going to have a Quivia a 

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bit later and it's new year, new
me. 

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If you tuned in last week, 
you'll know that I am still 

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drinking tea. 
I've just had a cup of tea, 

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which is lovely peppermint tea, 
but I'm drinking more water. 

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Got a pint of water here, which 
is delicious. 

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So, so far you've tuned into a 
podcast and Nick has had a sip 

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of water. 
Anyway, we're going to talk 

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about a number of things on the 
show. 

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You've probably seen in the 
title. 

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There's loads coming this year. 
I did my predictions for the 

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year last week, which I look 
quite exciting. 

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I think loads of stuff about 
AIAEO answer engine 

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optimization, how exciting 
marketeers are becoming 

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influencers, AI is improving 
video and design has become one 

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of the number one design taste. 
Sorry, someone's taste in design

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has become one of the number one
marketing skills for marketing 

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teams. 
We spoke about some of the 

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things I was grumpy about, some 
of the things I'm optimistic 

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about this year. 
There's a lot going on. 

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There is a lot going on and I 
want to talk about a few bits 

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and pieces and we're going to 
start off with quote or fact of 

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the week. 
Which one of my teams pulled 

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this together? 
Daisy, who I shout out every 

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week. 
Daisy's amazing and I'm going to

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read this out as well. 
Daisy's also put like there's a 

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box on the on the pre show note 
she puts together for me and it 

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says water New Year's resolution
check. 

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She's checking in on me. 
She's been checking in on the 

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whole team to make sure we're 
sticking to our New Year's 

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resolutions quote and fact of 
the week. 

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So more than 60, sorry, 76% of 
marketing teams are now using AI

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in core marketing operations, up
from just 29% in 2021. 

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Companies using AI report 
significantly higher performance

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and engagement, ROI and customer
retention. 

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And that is from allaboutai.com.
We find it fascinating, all this

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talk about AI. 
And we're going to talk in a 

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little bit about some of the 
things AI actually does, because

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everyone says AI is a big thing 
and everyone kind of goes yeah, 

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yeah, yeah, yeah. 
I'm really interested 

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particularly in how people are 
using AI. 

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What is the tool, the function, 
the process, the thing AI is 

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doing that the human now is not 
the reason I flagged that. 

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There was a productivity report 
that I think was released by the

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UK government back at the 
beginning of 2025, and it's said

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that people were currently 
taking longer to get the AI to 

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do the thing they wanted to do 
then it would have taken them to

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do the thing they wanted to do, 
which I find really interesting 

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and I'm sure we can all relate a
little bit to that. 

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So there's three things coming 
up this year #1 is AI driven 

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personalisation and automation. 
So when we talk about that, 

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there's a lot of buzzwords in 
this industry and a lot of 

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acronyms. 
So I just want to break that 

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down quickly. 
AI obviously isn't wait, it's a 

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buzzword. 
I think it's also not a 

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buzzword. 
It's a specific thing. 

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But the way Shopify stores sell 
products is really, really 

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changing. 
And actually these are four ways

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that you could be using AI on 
your front end store. 

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So dynamic product 
recommendations, lots of AI 

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tools now from adding an app 
that just does that to a whole 

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suite of tools that can do a 
whole range of things. 

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But when you somebody's looking 
at a product or browsing your 

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site, the products that come up 
recommended and also which we 

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haven't actually got this in our
list, but I'm going to add it 

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into this one. 
A lot of brands we're working 

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with now are seeing a huge 
success from actually sorting 

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and organising the products on a
collection using AI. 

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So rather than having a default 
set or it's automatically done 

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A-Z or price high to low, which 
customers the chance of being 

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interested. 
If you've got 400 products in 

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that collection, the chance of 
being interested in the top 

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three or four products come up 
so slim. 

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So using AI based on their 
behaviour or it just testing to 

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certain characteristics of 
people, AI can in a split second

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look at things like their IP 
address, what pages they've been

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on on the site, whether they're 
currently logged in or not, and 

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recommend according to all of 
the data it's got access to. 

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So those product recommendations
or products sort on a collection

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that's super, super beneficial, 
personalized personalized 

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storefront layouts and search 
that. 

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When we say storefront, normally
homepage. 

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So when people are on the 
homepage, the actual content 

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appears in the format of content
from top to bottom, whether it 

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recommends some products or some
buying guides, etcetera, based 

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on where it thinks people are in
that buying journey using AI for

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that. 
And the second part of that was 

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search as well. 
So when someone actually goes to

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search for a product, having AI 
try and complete the sentence 

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for them. 
If you say I want men's quarter 

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and it says, ah, you also want a
quarter zip jumper and then 

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recommending some jumpers and 
some other bits before anyone's 

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even click search. 
That's how the search 

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functionality on AI can be 
improved. 

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You can then see how many people
are currently using search and 

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before, well, sorry, how many 
people are using search and 

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purchasing products before you 
use an AI tool to start doing 

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some of that for you. 
And then also now we're using 

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the AI tool. 
How much has revenue got up when

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people are in that specific 
journey? 

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It's quite trackable and 
monitorable, and I love that. 

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Easy to monitor. 
Third one out of four is 

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predictive segmentation and 
messaging, which I find quite 

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interesting because we spend a 
lot of time, especially in 

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e-mail marketing. 
A lot of people in e-mail 

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marketing make a lot of 
assumptions and assumptions can 

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be based in the data. 
The data tells you what 

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happened, but it doesn't always 
tell you why. 

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And AI has the ability to test 
in real time those 

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segmentations. 
So AI might say, I've looked at 

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all your data and 10% of your 
customers have bought more than 

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twice and 90% of your customers 
have not that based on all of 

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the different stores I've, I'm 
connected to as an AI tool, all 

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the different data. 
I can see that is your number 

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one opportunity right now is to 
message the people that have 

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bought more than once and get 
another order from them and the 

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people that haven't. 
And that that would take you, 

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you know, a bit of time just to 
put up the right report. 

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But also the other thing that I 
find fascinating about AI is how

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would you know to look at that 
in the 1st place? 

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That's the exciting bit is it 
tells you here are some 

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learnings you might be 
interested in because when I've 

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presented these learnings to 
other people in your situation 

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or the marketeers or store 
owners, they've made some 

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changes. 
And so that's quite exciting. 

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And then automated marketing and
operations, I think it's how 

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most people are using AI at the 
moment is they will use it from 

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an operational point of view to 
say, if somebody is trying, if 

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somebody submits a return on our
website, that AI automatically 

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finds the order number in the 
back end, updates the order 

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number, etcetera, etcetera, 
etcetera. 

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And so that's again a way AI can
can help with that. 

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This was from cleargo.com. 
So there's some other insights 

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on is the future of Shopify Plus
trends for 2025 and 2026 quite 

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exciting. 
Personalisation really is, is 

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the big point. 
The thing I don't like about 

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personalisation is I know a lot 
of you guys are listening and 

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not like a lot of our clients 
turning over millions every year

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and growing considerably. 
Some of you are starting out, 

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you're only getting the odd sale
every day or two or every couple

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of hours. 
You get a sale here and there 

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and they're all a bit random 
because you're starting out. 

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Personalisation doesn't really 
work until you've got enough 

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data to know what to 
personalise. 

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And that is one of the chicken 
and egg scenarios. 

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What came first, the chicken or 
the egg? 

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You know, a quick sip of water 
because I've got a horrible sore

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throat today. 
Delicious. 

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I never used to light water, but
I change the glass I'm drinking 

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it out of. 
Fascinating, isn't it? 

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And suddenly I like it again. 
How the mind boggles me. 

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Anyway, commerce everywhere is 
number 2. 

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So we're going to talk about 
social, conversational, multi 

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channel. 
And what we mean by this is 

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where people are trying to buy 
your products from Shopify, but 

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not just on your store, there's 
lots of other locations. 

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So wherever people are shopping.
So it could be your catalog 

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appearing in AI assistance. 
So there's a thing that's built 

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into ChatGPT now called 
merchants. 

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I've mentioned it a few times. 
So via Shopify, you can feed all

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of your products into ChatGPT 
and people can actually purchase

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them on ChatGPT as if they were 
on Shopify. 

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They can do that whole process. 
And that's an integration ready 

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readily available for free done 
by ChatGPT or Open AI who run 

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ChatGPT and Shopify themselves. 
It's my understanding Copilot as

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well for Microsoft. 
So you can sell products through

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Copilot without doing anything. 
I'd say without them to do 

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anything, all the normal 
marketing things and brand 

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awareness and stuff do kick in. 
AI doesn't just show you because

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you fed your products. 
You've still got to convince it 

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you're a good option for that. 
There are things like social 

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commerce and shoppable video. 
So on YouTube you can buy, well,

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you can find products on 
YouTube, but TikTok shop, you 

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can shop Shopify products and do
a Shopify store order as if 

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you're on a Shopify store. 
But actually within TikTok 

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itself. 
The same applies to Facebook and

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Instagram. 
They've had stores for a very, 

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very long time. 
So you can buy products within 

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those stores as if if you were 
as if you were on Shopify, which

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is quite fun. 
And this is from the 

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foldtech.com. 
So it's their Shopify winter 

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edition, new innovations and 
it's all the emerging shopping 

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channels as a result of AI and 
lots of other stuff. 

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Some are new, some are not. 
And so again, trying to make 

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sure your store and products are
available in all the places that

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your customers would want to 
find them can be quite fun. 

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I'm good. 
I'm going to put a caveat on 

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this as I'm going to hang about 
this, but I think thinking about

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it now while I'm reading through
my notes and, and what we're 

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talking about, this to me is one
of those lovely but also 

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annoying shiny objects. 
It's the kind of thing where 

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you, you've sitting there, 
you've probably got a list of 

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admin to do and some tax returns
and some new products add to 

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sites and customer service 
emails to respond to and all 

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this, whatever your job function
is from founder down to one of 

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those kind of more niche and 
specialist roles. 

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This is the kind of thing where 
you're like, wow, what other 

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channels could we be on? 
And suddenly like 2 hours has 

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gone on Google trying to find 
those other channels. 

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So I would definitely say like 
maybe just carve out a bit of 

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time to do this, like 30 minutes
an hour just to connect up some 

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of those bits. 
I would definitely recommend 

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copilot and ChatGPT 
integrations. 

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I think this is absolute given 
and whatever you're doing on 

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Shopify is just automatically 
fed across really nice and 

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simple. 
But it's the kind of thing you 

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spent hours and hours and hours 
getting yourself on every single

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platform and then suddenly you 
still have no sales. 

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And it's like, OK, something, 
there's a bigger issue in the 

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business than what channels it's
available on. 

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And the third one I want to talk
about, which is going to be 

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really, really dry and boring. 
I'm joking. 

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I'm gonna make it fun. 
But it is about data, first 

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party data, third party data, 
privacy, Omni channel 

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experience. 
Cookies are changing quite a 

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bit. 
There's an initiative going 

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through the EU at the moment. 
I'm not going to go to too much 

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details. 
I'm not a lawyer. 

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I because I don't fully 
understand it. 

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I wait for our lawyer to tell us
or one of our clients say this 

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is what we're doing based on the
new rules. 

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The UK, the way cookie banners 
work in the UK has changed and 

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it changed. 
So this will be the 6th of 

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January when you're watching 
this. 

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I'm recording it the day before,
but 6th of January. 

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So six days ago, the UK law 
changed on cookies. 

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You don't need to be as strict 
on cookies as you used to be. 

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And there are some, I understand
there are some scenarios where 

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we can actually get rid of 
cookie banners. 

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And I've been saying this for a 
while that if we can, we're 

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going to get rid of cookie 
banners for all of our UK 

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clients. 
The EU is doing a separate move.

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It's something slightly 
different, but it's focusing on 

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the same kind of thing of going,
do you know what, we've over 

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regulated cookies and we've 
accepted that now. 

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And it's like as a marketing 
person, it's been in the digital

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world for years. 
It's like it was always, it was 

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always a terrible idea. 
How have you just realised? 

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I think the UK doing it has 
caused the EU to follow suit. 

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I don't know what the US is 
going to do, but the US rules 

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are a bit more relaxed anyway. 
But Shopify stores must rely on 

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owned data and seamless 
experiences. 

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First party data allow data 
power, smarter retention, 

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segmentation. 
Integrated channels like e-mail,

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SMS, mobile, social create 
consistent journeys and privacy.

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First personalisation replaces 
third party tracking. 

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So this is where you can track 
based on that customer. 

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Because when you can see what's 
happened, when you've sent them 

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an e-mail, when you've sent them
an SMS, when they've been using 

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their mobile on your site and 
they're logged in, when they've 

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been on your social channels or 
followed you on social, you can 

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see who that user is. 
So it's almost irrespective of 

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the cookies themselves actually 
running. 

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There are going to be more 
changes on it on this this year.

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I'm trying to make headway of 
this and I'm waiting for a 

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lawyer to get back to me on what
we can and can't do in the UK 

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following the changes on the 1st
of January. 

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Because guess what? 
The documentation from our 

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government is very, very vague. 
But it's going to be interesting

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because I think cookie banner is
a complete waste of time. 

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And I'll be completely open in 
saying that when we've not had 

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cookie banners on site compared 
to when we have, we've seen 

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conversion rate be worse where 
we've got cookie banners. 

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Trying to get a cookie banner to
work and tick all the compliance

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boxes is complicated, and I 
think it restricts trade is my 

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00:11:48,120 --> 00:11:49,720
gut feel. 
If somebody's on a website, it 

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should just be a given that 
every, because every website in 

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the world will put some sort of 
cookie on your machine from that

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website. 
It should just be a given that 

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if you use the Internet, there's
going to be cookies. 

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And most sites I've tested when 
you click decline, it doesn't 

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actually make any difference. 
No one's really compliant. 

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No one's really got in trouble 
for it. 

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And I think it's a complete 
waste of time. 

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And I, I shudder to think how 
much money's been spent on 

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getting the legislation there in
the 1st place and how much 

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companies are spent trying to be
trying to, you know, abide by 

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every single rule that is there.
And it's just a waste of time, 

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waste of money. 
And then then you look, and 

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there's a global downturn 
economically in almost every 

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single country or certainly in 
in the Western world. 

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So anyway, rants over cookies 
are cookies are fantastic cookie

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00:12:28,760 --> 00:12:31,200
banners, complete waste of time 
and no one, even the EU don't 

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00:12:31,200 --> 00:12:33,360
understand what they are. 
And if they want to talk about 

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00:12:33,360 --> 00:12:35,600
it on the show, they'd be very 
welcome to come on and and clear

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00:12:35,600 --> 00:12:37,960
things up and be very happy to 
have that that debate. 

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But anyway, new year, new 
opportunities. 

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So the last thing from me before
we do our Quivia, which one of 

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00:12:43,600 --> 00:12:45,960
my favorite things. 
And if you've never listened to 

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00:12:45,960 --> 00:12:47,680
the show, I came up with it 
myself in a sense every single 

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00:12:47,680 --> 00:12:48,880
week, which is why I'm talking 
so quickly. 

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00:12:49,280 --> 00:12:52,480
New year, new opportunities. 
One of my big learnings. 

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00:12:52,680 --> 00:12:55,200
I just want to finish on one of 
my one of my kind of mental 

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00:12:55,200 --> 00:13:00,760
dwellings I've had over 
Christmas in Q42025, lots of 

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00:13:00,760 --> 00:13:05,400
brands in the UK and US, which 
are our main 2 markets and also 

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00:13:05,400 --> 00:13:08,320
brands across Europe we work 
with and various other places. 

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00:13:08,760 --> 00:13:11,240
They're trying to cut costs on 
marketing. 

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00:13:11,440 --> 00:13:14,640
Now if I've been in this 
industry for nearly 20 years and

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00:13:14,640 --> 00:13:16,680
so it's the first time I've 
heard people trying to cut costs

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00:13:16,960 --> 00:13:19,360
and I was surprised by it, I'd 
obviously be lying. 

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00:13:19,760 --> 00:13:23,000
Plenty of businesses have tried 
to cut costs and as a business 

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00:13:23,000 --> 00:13:25,840
owner myself, I do not want to 
waste money on stuff that I 

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00:13:25,840 --> 00:13:29,680
don't need to spend money on. 
The problem with marketing is as

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00:13:29,680 --> 00:13:32,880
soon as someone comes up with a 
calculation that says marketing 

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00:13:33,280 --> 00:13:37,120
budgets need to be cut, the 
problem is rarely that we're 

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00:13:37,120 --> 00:13:40,000
spending too much because 
whatever you spend, the 

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00:13:40,000 --> 00:13:43,720
marketing should deliver an ROI.
Therefore, my view on this, and 

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00:13:43,720 --> 00:13:46,320
it's what I've been dwelling on 
a bit of Christmas and how I 

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00:13:46,320 --> 00:13:48,920
with our clients and some of the
pictures that I do and the 

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00:13:48,920 --> 00:13:51,200
brands we're going to be 
approaching to try and pitch to 

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00:13:51,200 --> 00:13:53,600
this year. 
And some of you guys who listen 

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00:13:53,600 --> 00:13:56,280
to the podcast trying to think 
about how I approach this and 

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00:13:56,280 --> 00:13:59,280
what I do about this is as soon 
as a business is cutting 

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00:13:59,280 --> 00:14:02,040
marketing, either one of two 
things are broken and one is the

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00:14:02,040 --> 00:14:06,360
result, obviously, or it's 
tracking more often than not, 

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00:14:06,360 --> 00:14:09,000
both are a problem. 
We, we've had businesses before 

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00:14:09,000 --> 00:14:09,760
that have gone, do you know 
what? 

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00:14:09,760 --> 00:14:11,400
We're cutting all marketing 
budgets by 50%. 

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00:14:11,600 --> 00:14:13,520
And then they do. 
And guess what conversation they

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00:14:13,520 --> 00:14:15,560
have three months later, our 
revenues down. 

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00:14:15,600 --> 00:14:17,520
I wonder why that is? 
It's because you cut marketing. 

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00:14:17,760 --> 00:14:19,960
What we should have done is 
said, we're not going to cut our

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00:14:19,960 --> 00:14:22,040
marketing budget. 
We want to increase it, but to 

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00:14:22,040 --> 00:14:24,120
increase it, we need to make 
more revenue. 

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00:14:24,520 --> 00:14:27,120
So actually we're going to set 
ourselves out on a, if you can't

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00:14:27,120 --> 00:14:29,960
prove it's working, we need to 
change the tracking, change the 

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00:14:29,960 --> 00:14:31,600
way we're doing it, or do some 
sort of test. 

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00:14:32,160 --> 00:14:34,840
So we've had clients before say 
I'm going to pull Meta 

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00:14:34,880 --> 00:14:37,760
advertising down by 50% for two 
weeks and then I'm going to put 

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00:14:37,760 --> 00:14:40,440
it back up unless I've got some 
data to say otherwise. 

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00:14:40,800 --> 00:14:44,120
And what you find is you see 
that actually over those two 

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00:14:44,120 --> 00:14:48,400
weeks, things drop and then they
come back or things don't drop 

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00:14:48,400 --> 00:14:50,040
at all. 
And actually then you start to 

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00:14:50,080 --> 00:14:53,080
ask the question of irrespective
of all the marketing channels 

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00:14:53,080 --> 00:14:54,960
that I've got and all the 
budgets I spend and the tracking

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00:14:54,960 --> 00:14:57,720
and everything else, Meta is not
delivering for me. 

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00:14:57,720 --> 00:14:58,880
Is it because I've turned the 
budget down? 

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00:14:59,120 --> 00:15:01,200
So again, the wrong thing to do 
is then go, well, let's not 

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00:15:01,200 --> 00:15:03,560
spend any money on Meta. 
The right thing to do is try and

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00:15:03,560 --> 00:15:06,080
find out who actually seizes 
some Meta and what part of the 

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00:15:06,080 --> 00:15:08,120
journey does that actually 
influence? 

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00:15:08,360 --> 00:15:11,120
Because if it influences really 
top line brand, we should keep 

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00:15:11,120 --> 00:15:14,040
that running. 
So if you're in an organization 

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00:15:14,040 --> 00:15:17,240
that's cutting budgets or not 
approving budgets, I'd try. 

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00:15:17,240 --> 00:15:19,400
And if I were you, my, my advice
and what I would do in your 

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00:15:19,400 --> 00:15:21,520
position is try and sit down 
with the finance director as 

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00:15:21,520 --> 00:15:25,520
quickly as possible and say this
initiative to lower budgets. 

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00:15:25,640 --> 00:15:27,680
Like, do you realize what's 
going to happen next? 

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00:15:27,680 --> 00:15:30,040
And is this actually, is this 
really a move the business want 

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00:15:30,040 --> 00:15:32,600
to make when there's economic 
downturns? 

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00:15:32,600 --> 00:15:34,920
I think I said this last week or
the week before on the show as 

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00:15:34,920 --> 00:15:36,360
well. 
When there's an economic 

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00:15:36,360 --> 00:15:39,120
downturn, it forces everyone to 
become more efficient. 

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00:15:39,120 --> 00:15:42,320
And as part of this, some 
businesses don't do that and 

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00:15:42,320 --> 00:15:45,160
they go under. 
So if you manage to weather the 

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00:15:45,160 --> 00:15:49,120
storm and get more efficient and
make profit or make more profit 

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00:15:49,120 --> 00:15:51,960
through an economic downturn 
when half your competitors have 

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00:15:51,960 --> 00:15:54,400
disappeared or whatever number 
of them have gone, what do you 

365
00:15:54,400 --> 00:15:55,680
think is going to happen to your
revenue? 

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00:15:56,120 --> 00:15:57,920
The last one left and 
everybody's going to come and 

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00:15:57,920 --> 00:15:59,600
shop with you. 
So you're going to see a massive

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00:15:59,640 --> 00:16:02,200
upturn as well. 
So whenever brands have started 

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00:16:02,200 --> 00:16:04,880
lowering budgets, as much as I'm
slightly biased, let's be 

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00:16:04,880 --> 00:16:06,360
honest, because I don't want the
budgets to go down. 

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00:16:06,360 --> 00:16:08,080
I want to go up because I make 
more money as a marketing 

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00:16:08,080 --> 00:16:09,640
agency. 
But actually, it's often a 

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00:16:09,640 --> 00:16:12,760
warning sign that things are not
looking good and long term 

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00:16:12,760 --> 00:16:14,760
they're not going to be good. 
We've had a few clients come 

375
00:16:14,760 --> 00:16:17,120
back to us that we stopped 
working with in the last couple 

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00:16:17,120 --> 00:16:18,840
of years because they were 
lowering budgets. 

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00:16:18,840 --> 00:16:21,920
We were too expensive or people 
trying to after our agency fee, 

378
00:16:21,920 --> 00:16:23,840
and it's like, well, actually, 
if the campaign's working, we're

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00:16:23,840 --> 00:16:26,840
worth the fee to pay the fee. 
Make them work and don't hire 

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00:16:26,840 --> 00:16:28,720
the wrong person who's not going
to make it work and cost you a 

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00:16:28,720 --> 00:16:31,520
lot more in the long run. 
Let's do Quivia, shall we? 

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00:16:31,760 --> 00:16:33,080
I'm a bit ranty this week. 
I don't know why. 

383
00:16:33,080 --> 00:16:36,040
I'm in a very good mood. 
Anyway, this week's Quivia. 

384
00:16:36,040 --> 00:16:40,480
True or false? 
Over half of mobile users will 

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00:16:40,480 --> 00:16:47,000
leave a website if it takes more
than three seconds to load. 3 

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00:16:47,000 --> 00:16:48,960
seconds? 
It's true or false. 

387
00:16:49,000 --> 00:16:52,120
Over half of mobile users will 
leave a website if it takes more

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00:16:52,120 --> 00:16:56,000
than three seconds to load. 
It'd be a terrible fact if it 

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00:16:56,000 --> 00:16:57,720
wasn't true. 
So yes, it is true. 

390
00:16:57,720 --> 00:16:59,480
Got a big green tick next to it?
It's true. 

391
00:16:59,840 --> 00:17:02,360
Nearly 40% get this of Gen. 
Z. 

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00:17:02,600 --> 00:17:05,800
Say they use TikTok or Instagram
instead of Google to search for 

393
00:17:05,800 --> 00:17:09,520
information because it's faster.
How about that? 

394
00:17:09,880 --> 00:17:11,200
Nearly 40% of Gen. 
Z. 

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00:17:11,440 --> 00:17:14,079
So they use typical Instagram 
instead of Google to search for 

396
00:17:14,079 --> 00:17:17,520
information because it's faster.
And just reading between the 

397
00:17:17,520 --> 00:17:19,720
lines here, it's not because 
Google itself slow, it's because

398
00:17:19,920 --> 00:17:22,079
they go on Google and when they 
click on a website to go and dig

399
00:17:22,079 --> 00:17:24,640
a bit deeper into whatever they 
were looking for, takes ages to 

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00:17:24,640 --> 00:17:26,359
load. 
How interesting. 

401
00:17:26,640 --> 00:17:29,400
And also there is so much fake 
information out there on TikTok 

402
00:17:29,400 --> 00:17:31,400
and Instagram. 
So there we go. 

403
00:17:31,440 --> 00:17:32,840
Anyway, I hope you've enjoyed 
today's episode. 

404
00:17:32,840 --> 00:17:35,560
We will be back, I believe with 
a guest this week. 

405
00:17:35,560 --> 00:17:38,200
I haven't checked the diary. 
This is only my second day back 

406
00:17:38,200 --> 00:17:39,560
after Christmas. 
I hope you've enjoyed today's 

407
00:17:39,560 --> 00:17:40,440
show. 
If you haven't already, please 

408
00:17:40,440 --> 00:17:42,640
hit the subscribe button, leave 
us a review on whatever platform

409
00:17:42,640 --> 00:17:44,520
you're listening to. 
Give us a comment on Spotify. 

410
00:17:44,680 --> 00:17:46,560
I said that a few weeks ago, 
apparently for those of 

411
00:17:46,560 --> 00:17:47,920
comments, I haven't looked yet. 
Sorry. 

412
00:17:47,920 --> 00:17:49,600
It's been Christmas a little bit
away, but I will go and check 

413
00:17:49,600 --> 00:17:51,000
those. 
Hope you can TuneIn again for 

414
00:17:51,000 --> 00:17:52,760
our next episode. 
If you want to come on the show,

415
00:17:52,760 --> 00:17:55,000
you want to sponsor the show, 
send us an e-mail saying hello 

416
00:17:55,000 --> 00:17:57,120
at Winning Shop dot com. 
Thanks for tuning in. 

417
00:17:57,320 --> 00:17:57,760
Great having you.