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Today on the Winning with 
Shopify podcast. 

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What I'm trying to say, like you
guys, you're like the tech. 

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And now my AI agent is starting 
to learn what I want. 

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And I imagine it's the same with
some of your tools that. 

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You want to look for the 
opportunities to to penetrate 

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the market. 
One, but you train it to start 

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to go, this works for me and 
this doesn't. 

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The biggest crimes people commit
on their own brand is to say, 

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we're going to launch a red one.
This product's so popular, this 

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blue product, we're going to 
launch a red one, let's do it. 

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And then it flops. 
Hello and welcome to another 

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episode of the Winning with 
Shopify podcast. 

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If you've not tuned in before, 
welcome to the show. 

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00:00:34,040 --> 00:00:36,440
Please hit the subscribe button 
and leave us a review. 

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The better the review, the more 
free candy we give you. 

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Apologies, there's no free 
candy, but do leave us a review 

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and we might actually talk about
giving your customers a little 

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reward in the near future 
because I've got an amazing 

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guest coming on to talk about 
that. 

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You've been tuning in for a 
while and you haven't already. 

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Please go check out our YouTube 
channel, go and subscribe to 

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different stuff. 
We've got the growth hub. 

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We've started a meet up in 
London and everything we do for 

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you guys, for your brands and 
merchants is completely free. 

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So please do go and engage, 
otherwise, complete waste of our

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time. 
Today you've got very special 

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episodes. 
I'm joined by an absolute 

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legend, Nahar from Zik 
Analytics. 

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And Nahar, welcome to the show. 
Thank you very much, Nick. 

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It's pleasure being here. 
Really pleasure. 

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I've been listening to your 
podcast for a while. 

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Great job and I'm very happy to 
be here. 

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Yeah. 
Good, good. 

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Well, I hope you've enjoyed it. 
I, I struggled to listen to it 

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myself. 
I hope you found final guests 

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and everybody else useful, which
is good for anyone that's 

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sitting there going something 
analytic. 

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Zic that sounds different. 
That's not GA 4, that's not 

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Shopify analytics. 
It's not some of the some of the

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other players I might have heard
of. 

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Tell us a bit about your 
background and also about Zic 

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Analytics and how the two things
fit together. 

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Absolutely. 
So I'm in e-commerce since 2015.

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I started with eBay. 
The reason I started with with 

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e-commerce was that I moved to a
new country. 

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I moved to live in Germany. 
I could not speak German and 

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this was my only way to find the
ways to make money. 

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So I came across drop shipping 
and eBay and e-commerce and I 

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started my journey online and 
then starting from there. 

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You know, back then no one 
talked about product research, 

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no one talked about market 
research. 

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Most of the sellers we're 
basically more of of I would say

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digital nerds than actual 
traders. 

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And everyone just focus on go 
ahead, you know, grab products, 

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put on your store and everything
will be OK. 

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And when I started, it was 
pretty tough in the beginning. 

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I started look for reasons what 
you know, how do I know I'm 

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going to sell this product? 
How do I know this product is 

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going to sell? 
There is demand competition. 

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I came from the from the real 
world business and in in real 

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world business, you know, I knew
that, OK, how many people are 

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passing the street? 
How many people coming to the 

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mall? 
What is my location? 

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You know, how many people going 
to enter? 

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What's the price of the 
competitors? 

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So all this information was, you
know, important to make decision

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whether buying a stock from a 
product or not. 

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And this is how the idea of Zika
Analytics came. 

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I was first, you know, just 
relying on data that I find 

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across eBay in other 
marketplaces, trying to 

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calculate demand competition 
manually. 

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And I came up with a method that
helped me pick products and then

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my drop shipping business start 
growing. 

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And once I realized, wow, now 
you developed this manual method

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that help you find winning 
products. 

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You should like do something 
about it. 

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You should teach people and you 
should maybe even build an 

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automation like a software. 
And this is how the idea of Zeke

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Analytics came. 
Zeke Analytics is a product 

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research or a market research 
platform for e-commerce sellers.

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We support today everyone drop 
shippers, inventory sellers, 

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brand owners. 
We bring data mainly from eBay 

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and Shopify marketplaces. 
So if you compare Zeke to other 

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product research to other 
product finding tools, we don't 

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just rely on the supplier data, 
but we want to give our users 

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and the sellers the data from 
the marketplace to really be 

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able to see demand, competition,
average selling prices and other

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important data points that can 
help you make decisions. 

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So yeah, this is in a short 
story who I am in the e-commerce

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world and how the idea of Zeke 
came and what Zeke does. 

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Amazing. 
And from my perspective, 

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obviously working PPCSEA, we do 
customer acquisition, we bring, 

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we bring people to websites and 
try and convince them to buy 

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stuff. 
But actually what you're talking

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about is a whole set of 
analytics that's completely 

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outside of generally my sphere 
of, of, of what we can see 

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because we can't see the demand 
of things. 

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We can see a search volume on 
Google and say, right, 10,000 

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people have searched this item. 
But actually to get the 

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analytical data on who's buying 
stuff, I think it's really, 

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really important. 
Hence why we've, we've invited 

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you on the show to today to talk
about it and give us a quick, 

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give us a quick overview to how 
to get in touch with you as 

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well. 
So if anyone's listening and 

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want to look around the website 
or check you guys out, what's 

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your website address? 
Hey, it's zikanalytics.com. 

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You can find it on on on the 
web, on YouTube, social media. 

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Nice, nice. 
And it's spelled Zik. 

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Isn't it Zik Analytics? 
Yeah. 

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Amazing, amazing. 
So let's talk about some of this

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data then. 
So our listeners are kind of 

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split between there's a good 
bunch of drop shippers, there's 

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a load of you guys listening 
that are your own brand. 

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So you've like bought products 
in with your logo on, you're 

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selling them, some of you are 
manufacturing your own products.

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Talk me through some of the data
and some of the decisions that 

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brands then make now that they 
have that supply demand and kind

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of real time data to say this 
product is booming at the 

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moment. 
You know what? 

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What are you actually going to 
use that information for and how

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do they get it from your system?
So it's a great question and I 

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think that the God is in the 
details, like the opportunities 

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are in the small details. 
And usually when I teach people 

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about product research, you 
know, I had a demonstration what

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I'm trying to say, like you 
guys, you're like detectives, 

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you know, you're like 
detectives, you're looking for 

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the small clues. 
And I give one story, one 

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example, like imagine you're a 
detective. 

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You get a phone call, you know, 
you get a phone call. 

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Hey, there was a shooting in 
this house. 

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Please come right now. 
You arrive, you come to the 

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house, you see two holes in the 
door, broken window and blood on

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the sheets. 
What do you think happened? 

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What do you think happened? 
Right? 

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Someone shot from. 
Outside the door. 

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Yeah, exactly. 
Shot from outside the door. 

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Someone got hurt and maybe ran 
away from the window, right? 

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So it's exactly the same with 
product. 

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It's not just about how many 
sales this product got or how 

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many people are selling this 
product as a brand owner. 

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And I'm pretty much sure that 
lots of people now will relate 

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even they even if they didn't 
thought about it the same way, 

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but they still thought about it.
A lot of sellers is that you 

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want to look for the 
opportunities to break, to 

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penetrate the market, to be 
different, to be unique. 

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So you want to on one way. 
You want to validate demand of 

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course, because you want to buy 
inventory or producer product or

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produce a new product that 
people are looking for. 

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There is demand, but on the 
other hand you want to see what 

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other competitors are doing, 
what features the product have, 

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colors, sizes, packaging, 
services like shipping, the 

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money back guarantee. 
You want to know all the details

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and then you want to put all 
together and then make the 

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decision this is a great 
opportunity or not. 

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Let me give you an example, OK? 
For example, if I came across a 

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seller that launched a product 
just three weeks ago and this 

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product already sold 10,000 
times, OK? 

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And this product only sell in 
one unit, OK, But there is a 

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need for this product to be sell
also in multiple units together,

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let's say like a pack of five or
stuff like this. 

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I have an opportunity why I have
a new seller, which means it's a

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new seller who generate a lot of
sales and already managed to 

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generate success. 
It's not an established branded 

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long time in the market, right? 
So as a as a new seller myself 

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or as in or as a person who's 
going to sell new products for 

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the for the first time, I 
already know this guy succeed 

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very early. 
It means he's doing something 

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very good. 
The demand is there, the product

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is there, right? 
So I already know the success 

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rate is higher. 
Now I second thing is I 

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recognize an opportunity where I
can offer this product in 

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bundles or I can add something 
else to the product. 

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Maybe I can improve the feature.
Maybe I just recognize that the 

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SEO can be done much better. 
Yeah, yeah, I love that. 

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And it's when we look at 
competitors, the thing that I, 

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if I'm mildly frustrating, I 
will say, so any existing 

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clients listening, like, please 
don't think I'm moaning here, 

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but we make a lot of decisions 
and I'm on a war against making 

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decisions this way. 
We do them based on what we 

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think and we do them based on 
gut feel, not based on data. 

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And that I think is one of the 
biggest crimes people commit. 

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Come back to your murder scene. 
The biggest crimes people commit

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on their own brand is to say, 
we're going to launch a red one.

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This product so popular, this 
blue product, we're going to 

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launch a red one, let's do it. 
And then it flops. 

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And because you've not looked 
properly at the data, as you 

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say, to understand what is the 
best color to be offering. 

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Well, why don't you actually do 
a sample run or use data like 

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you've got to say, well, 
actually on eBay at the moment 

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and in the Shopify marketplaces,
there are 10,000 blue ones being

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sold, 40,000 yellow ones and no 
red ones. 

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And we're thinking of selling a 
red one. 

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Well, like you're trying to sell
one that nobody wants to buy at 

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the moment. 
So why don't you? 

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I guess it's two sides to this, 
isn't it? 

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One is jump on the bandwagon and
say popular product, let's offer

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the same thing, sell the same 
thing, offer our own variation 

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on this. 
The other one that sprung to 

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mind when you were explaining 
that that new seller that sold 

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10,000 units, I was thinking 
that actually if you kept an eye

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on how much your competitors 
sold out on certain products and

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I know a way to do this off the 
back of Shopify and it'll be to 

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use their shopping feeds. 
Now back to the show, because 

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every Shopify store has a 
shopping fee that comes out to 

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Google. 
So if you check those every 

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morning and set up some sort of 
alert to go, my competitors 

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product here is has gone out of 
stock since yesterday. 

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You could use your data to go, 
it's gone out of stock and tons 

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of them are selling on the 
marketplaces and eBay right now.

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Therefore, we've got some of 
those we need to e-mail our 

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customers about them, put it on 
our homepage, push it in our 

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marketing because we're not 
pushing it right now, but we 

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know someone else is selling out
of it. 

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As much as as you say, the 
devil's in the detail of looking

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at these products are doing well
and we're pushing all this stuff

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over here. 
I, I so often see it with brands

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as well where you've got like 10
kind of flagship products and 

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two of them sell really well. 
The other rate you're trying to 

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push because you accidentally 
ordered too many. 

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And I think you again using the 
data to avoid things like that 

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happening. 
Is is so important, isn't? 

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00:11:23,600 --> 00:11:26,960
It of course and this and what 
you just say like this is like 

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the way you explain it. 
This is how every brand owner 

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should play your because imagine
people are going investing 

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thousands of dollars on stock, 
building a website, building a 

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brand, social channels, ads. 
You should use all set of 

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different analytic tools and 
combine the data together. 

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And we have few unique use cases
of sellers are doing it and 

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they're extremely well. 
They use, you know, like you 

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say, they come from U world, 
Google shopping, Google Adwords 

231
00:11:55,720 --> 00:11:59,160
and all these kind of things 
bringing traffic data, but then 

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combining it with real demand 
and real sales. 

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00:12:01,960 --> 00:12:06,520
And then it works both for ads 
and for SEO. 

234
00:12:06,800 --> 00:12:08,440
Why? 
Because suddenly it's not just 

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this this search term have 
50,000 surges every month. 

236
00:12:11,920 --> 00:12:14,720
Is this search that maybe have 
just 5000 surges every month. 

237
00:12:15,000 --> 00:12:17,680
But the conversion rate and the 
sales that this search term 

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actually bring on Shopify and on
eBay, which, by the way, eBay in

239
00:12:21,360 --> 00:12:24,360
this game terms of SEO much more
powerful because it's a surge 

240
00:12:24,360 --> 00:12:27,320
engine. 
Yep, it's it's amazing 

241
00:12:27,320 --> 00:12:29,640
conversion rate. 
So now I actually should go and 

242
00:12:29,640 --> 00:12:33,840
spend on this keyword much more 
money because the conversion 

243
00:12:33,880 --> 00:12:35,320
rate on this team is much 
powerful. 

244
00:12:35,960 --> 00:12:38,160
Yeah, Yeah. 
We actually do a lot with our 

245
00:12:38,160 --> 00:12:39,720
STO team. 
We actually do quite a lot on 

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00:12:39,720 --> 00:12:42,840
Amazon and eBay to optimize 
their listings to get them found

247
00:12:42,840 --> 00:12:45,400
more. 
And certainly on the Amazon side

248
00:12:45,400 --> 00:12:46,880
as well. 
We started then doing paid 

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listings and we get the most 
incredible ROI on them because 

250
00:12:49,760 --> 00:12:52,520
we've optimized them using 
Google and Amazon data to do 

251
00:12:52,520 --> 00:12:53,600
that. 
And the same with eBay. 

252
00:12:54,360 --> 00:12:56,840
I think there's a huge 
opportunity there, but I guess 

253
00:12:56,840 --> 00:12:59,400
to change gears slightly as well
and go up another gear. 

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00:12:59,400 --> 00:13:02,240
So we got all this data. 
Obviously, we're living in the 

255
00:13:02,240 --> 00:13:05,640
AI age now. 
Like how does AI or how can AI 

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00:13:05,640 --> 00:13:08,400
play a part in analyzing? 
You know, if you've got half a 

257
00:13:08,400 --> 00:13:11,360
million different products in 
your site, especially as a drop 

258
00:13:11,360 --> 00:13:13,240
shipper, because you can just 
keep adding stuff because you 

259
00:13:13,240 --> 00:13:15,000
don't have to stock it as a drop
shipper. 

260
00:13:15,000 --> 00:13:17,640
As an example, how can you use 
AI to then filter it down and 

261
00:13:17,800 --> 00:13:20,480
come back to you and say these 
are the things you should be 

262
00:13:20,480 --> 00:13:23,680
selling based on what I know 
about your business rather than 

263
00:13:23,680 --> 00:13:25,560
you having to look through the 
data yourself? 

264
00:13:25,560 --> 00:13:27,840
Or, or is there a different way 
you guys are using AI at the 

265
00:13:27,840 --> 00:13:29,960
moment? 
So we have three AI tools in the

266
00:13:29,960 --> 00:13:32,760
platform. 
It's called the Autopilot tuber 

267
00:13:32,760 --> 00:13:37,760
scanner and the bulk scanner. 
It's basically 1 is just semi 

268
00:13:37,760 --> 00:13:39,680
automated and then the other two
are automated. 

269
00:13:40,400 --> 00:13:45,560
They are specifically for drop 
shippers and what it does is 

270
00:13:45,560 --> 00:13:51,720
just taking products from eBay 
and from other marketplaces and 

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00:13:51,720 --> 00:13:54,080
able to automatically match them
100%. 

272
00:13:54,080 --> 00:13:56,920
So for a drop shipper for 
instance, you don't need to do 

273
00:13:56,920 --> 00:13:58,360
anything. 
You just go there, put in the 

274
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filters. 
I want products with two sales 

275
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in the last seven days selling 
for this price. 

276
00:14:02,680 --> 00:14:05,600
From this category, you click on
the button and you just get list

277
00:14:05,600 --> 00:14:09,080
of products with the sales 
history, with sales record, with

278
00:14:09,080 --> 00:14:11,720
the competition records, all 
based on your filters. 

279
00:14:12,240 --> 00:14:14,480
So this is how those tools 
basically work. 

280
00:14:15,840 --> 00:14:18,760
There are of course AI in all 
other areas of the business 

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00:14:18,760 --> 00:14:21,080
which is not product research, 
which is also very powerful, but

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00:14:21,080 --> 00:14:22,760
this is another topic if you 
want to cover. 

283
00:14:23,560 --> 00:14:25,520
Yeah, yeah, absolutely. 
And I'm just going to fill in a 

284
00:14:25,520 --> 00:14:26,880
blank quickly as well. 
I meant to. 

285
00:14:26,960 --> 00:14:29,160
I've got it in my notes written 
in front of me to say this 

286
00:14:29,160 --> 00:14:32,400
earlier, but we're talking a bit
about drop shipping today, guys.

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00:14:32,400 --> 00:14:36,000
And so if even if you're not a 
drop shipper, still super useful

288
00:14:36,000 --> 00:14:39,240
to use data like this to make 
decisions and sell products and 

289
00:14:39,240 --> 00:14:41,400
push products that people want 
to buy when they want to buy 

290
00:14:41,400 --> 00:14:42,840
them. 
That's all great. 

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00:14:43,280 --> 00:14:45,240
We've had quite a few people on 
talking about drop shipping, 

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00:14:45,240 --> 00:14:48,240
both brands and people, people, 
you know, like yourself who 

293
00:14:48,720 --> 00:14:50,760
work, work kind of supplier 
side, tech side. 

294
00:14:51,120 --> 00:14:54,280
And actually if you want to 
launch a new product, but you 

295
00:14:54,280 --> 00:14:56,600
don't want to stock it and do a 
massive order of them, you just 

296
00:14:56,600 --> 00:14:59,640
want to sell a new product to 
say we sell sunglasses with hats

297
00:14:59,640 --> 00:15:02,600
sell well on our website. 
Drop shipping is a fantastic 

298
00:15:02,600 --> 00:15:06,000
option to widen your skew base. 
It might even be that you say, 

299
00:15:06,320 --> 00:15:08,080
you know what, our sunglasses 
are amazing. 

300
00:15:08,080 --> 00:15:10,280
So we're going to drop ship 
other sunglasses that aren't 

301
00:15:10,280 --> 00:15:13,280
quite as good because of that 
marketing parallel we want to 

302
00:15:13,280 --> 00:15:16,480
put on the site saying like our,
our official kind of premium or 

303
00:15:16,480 --> 00:15:18,800
platinum range are amazing and 
they're much better when you put

304
00:15:18,800 --> 00:15:20,880
them compared to one of our drop
shipped products. 

305
00:15:20,880 --> 00:15:22,200
They're still there if you want 
to buy them. 

306
00:15:22,640 --> 00:15:24,520
But just to make the point that 
actually, even if you're not 

307
00:15:24,520 --> 00:15:27,160
drop shipping, don't tune out 
like this is all still relevant 

308
00:15:27,160 --> 00:15:29,080
to you. 
I think but and but definitely 

309
00:15:29,160 --> 00:15:31,200
not hard. 
Like tell us more about this 

310
00:15:31,200 --> 00:15:33,720
because I think that some of the
AI engines and the way brands 

311
00:15:33,720 --> 00:15:35,840
are using them, I think it's 
just so important moving forward

312
00:15:35,840 --> 00:15:37,840
at the moment. 
Yes, of course. 

313
00:15:37,840 --> 00:15:40,560
Look, I can tell you even, you 
know, just about the e-commerce,

314
00:15:40,560 --> 00:15:42,720
even in my business, like in the
software business. 

315
00:15:42,720 --> 00:15:48,200
And then we use AI everywhere. 
I encourage my I encourage my 

316
00:15:48,200 --> 00:15:52,000
team to transition as much as 
possible to AI, to become master

317
00:15:52,000 --> 00:15:54,160
of AI tools. 
It's just the beginning, the 

318
00:15:54,160 --> 00:15:56,440
early days. 
I believe that in a year from 

319
00:15:56,440 --> 00:15:58,600
now, things are going to look 
even more advanced. 

320
00:15:59,120 --> 00:16:02,800
Everything moved to AI. 
But at the same time, we don't 

321
00:16:02,800 --> 00:16:04,320
need to get too excited about 
it. 

322
00:16:04,920 --> 00:16:07,400
We need to be, you know, like 
really hands on. 

323
00:16:07,880 --> 00:16:12,400
Also when we use AI and slowly 
slowly with the future, I'm sure

324
00:16:12,400 --> 00:16:16,400
things will be more more like 
specific and will be easier to 

325
00:16:16,400 --> 00:16:18,440
use. 
Yeah, yeah, absolutely. 

326
00:16:18,640 --> 00:16:21,120
The other thing with AI, I've 
been testing this the last few 

327
00:16:21,120 --> 00:16:23,320
days is I've got a Chrome. 
I won't say what it's called 

328
00:16:23,320 --> 00:16:25,520
because I'm not very happy with 
it, but it is brand new and the 

329
00:16:25,520 --> 00:16:28,600
guy Will who's made it is 
emailing me like crazy because 

330
00:16:28,600 --> 00:16:30,160
he wants my feedback. 
And we've, we've made the tool 

331
00:16:30,160 --> 00:16:33,400
Better Together. 
But I'm using an AI engine 

332
00:16:33,400 --> 00:16:36,720
that's a Chrome plugin that can 
click around my screen and do 

333
00:16:36,720 --> 00:16:39,600
stuff even when I'm on another 
Chrome tab, which is just, I 

334
00:16:39,600 --> 00:16:41,320
mean, it's a complete game 
changer. 

335
00:16:41,640 --> 00:16:43,800
So what it is, I leave it 
running using, I won't say 

336
00:16:43,800 --> 00:16:46,960
exactly what I'm using it for, 
but it looks at like 3 or 4 

337
00:16:46,960 --> 00:16:49,680
different sites and pulls 
together information, puts it 

338
00:16:49,680 --> 00:16:52,440
all into a spreadsheet for me. 
And then it also is now using 

339
00:16:52,440 --> 00:16:54,920
color coding and scoring to say 
this is the one. 

340
00:16:54,920 --> 00:16:56,120
These are the ones you should 
start with. 

341
00:16:56,120 --> 00:16:57,480
If you've only got one hour, 
just do this bit. 

342
00:16:57,480 --> 00:16:58,960
If you've got five hours, do all
of them. 

343
00:16:59,240 --> 00:17:01,160
But it's pulling together 
information from multiple places

344
00:17:01,280 --> 00:17:04,280
told me that I can do that. 
But it, but it has taken me 3 or

345
00:17:04,280 --> 00:17:05,960
4 days. 
As you say, it's it's early 

346
00:17:05,960 --> 00:17:07,760
stage. 
It's taken me 3 or 4 days of 

347
00:17:07,760 --> 00:17:11,520
just on a second laptop like 
writing notes going, hey, go and

348
00:17:11,520 --> 00:17:13,599
try this, change this, don't do 
this, do do this. 

349
00:17:13,880 --> 00:17:16,520
And now my AI agent is starting 
to learn what I want. 

350
00:17:16,720 --> 00:17:18,240
And I imagine it's the same with
some of your tools that 

351
00:17:18,240 --> 00:17:20,119
merchants are using. 
It's like when they first click 

352
00:17:20,119 --> 00:17:21,359
go on it. 
It's probably not going to give 

353
00:17:21,359 --> 00:17:23,560
them exactly what they want, but
you train it to start to go. 

354
00:17:23,880 --> 00:17:25,240
This works for me and this 
doesn't. 

355
00:17:25,480 --> 00:17:27,280
Yeah, yeah, yeah, yeah, exactly 
like. 

356
00:18:08,520 --> 00:18:11,040
What are some of the ways that 
drop shippers could understand 

357
00:18:11,040 --> 00:18:13,440
more about their audience then? 
So we spoke a lot about the 

358
00:18:13,440 --> 00:18:16,000
products, but how can they 
understand their audience a bit 

359
00:18:16,000 --> 00:18:18,040
more and some of their customers
and the way their customers shop

360
00:18:18,040 --> 00:18:23,320
using your tool? 
So on the Shopify part, you can 

361
00:18:23,320 --> 00:18:30,320
learn a lot about the like the 
apps that the shop is using, the

362
00:18:30,360 --> 00:18:34,040
ads that the stores are running 
and all those kind of things. 

363
00:18:34,040 --> 00:18:36,360
So I would say to learn about 
the audience is mainly through 

364
00:18:36,360 --> 00:18:41,960
the ads on the eBay part, again,
you don't have audience data 

365
00:18:41,960 --> 00:18:44,320
much on eBay. 
It's a search engine. 

366
00:18:44,320 --> 00:18:46,880
So you have like search data, 
you have keywords data. 

367
00:18:47,600 --> 00:18:50,640
So you do it from the reverse 
engineering. 

368
00:18:50,640 --> 00:18:55,000
You basically it's in the end, 
it's like you're not selling a 

369
00:18:55,000 --> 00:18:57,000
product on eBay, you're selling 
keywords. 

370
00:18:57,160 --> 00:18:58,720
This is what you do. 
You're selling keywords. 

371
00:18:59,280 --> 00:19:01,560
So all what you need to do is to
make sure you sell, you have the

372
00:19:01,960 --> 00:19:05,120
you make the match. 
I always say have the right 

373
00:19:05,120 --> 00:19:08,920
product with the right keyword. 
Sometimes you can miss in one 

374
00:19:08,920 --> 00:19:10,520
inch and it's not going to sell 
out. 

375
00:19:11,240 --> 00:19:15,240
Other times it's just perfectly 
described with the perfect 

376
00:19:15,240 --> 00:19:18,000
product people are looking for 
and boom, you have a winner. 

377
00:19:18,120 --> 00:19:24,800
You know, so we provide more the
marketplace data, less the 

378
00:19:24,800 --> 00:19:27,600
audience data. 
OK, That makes a lot of sense. 

379
00:19:28,000 --> 00:19:30,320
As you say, even with the search
data on eBay or looking at the 

380
00:19:30,320 --> 00:19:32,760
apps and ads that stores are 
using on Shopify, you can 

381
00:19:32,760 --> 00:19:35,360
understand like if all of your 
competitors are using an app 

382
00:19:35,360 --> 00:19:38,040
that is a loyalty app and you're
not. 

383
00:19:38,440 --> 00:19:40,480
That's a really important piece 
of information that you can get 

384
00:19:40,480 --> 00:19:43,000
quickly using your tool as 
opposed to crawling through the 

385
00:19:43,000 --> 00:19:45,160
code or using something like 
built with that only gives you 

386
00:19:45,160 --> 00:19:47,720
so much data. 
So I think it's really, really 

387
00:19:47,720 --> 00:19:50,000
important to do that. 
And what are some of the, when 

388
00:19:50,000 --> 00:19:52,680
you're looking at any kind of 
data, whether it's product or 

389
00:19:52,680 --> 00:19:55,800
audience data, what are some of 
the metrics people should really

390
00:19:55,800 --> 00:19:58,000
be looking at? 
Because we've spoken about sales

391
00:19:58,000 --> 00:20:00,880
and keyword searches, are there 
any other metrics people should 

392
00:20:00,880 --> 00:20:03,360
really focus on when making 
decisions about some of the 

393
00:20:03,360 --> 00:20:05,920
stuff? 
Yeah, it's the profit, profit 

394
00:20:05,920 --> 00:20:10,080
margin. 
I think in our world right now 

395
00:20:10,520 --> 00:20:15,840
where we need to run ads, we 
need to do affiliate marketing, 

396
00:20:15,840 --> 00:20:19,440
there is so many things to do. 
The bigger, the higher is the 

397
00:20:19,440 --> 00:20:22,760
profit margin, the more chances 
we have to succeed. 

398
00:20:22,920 --> 00:20:25,200
This is how it is. 
And then if you buy your own 

399
00:20:25,200 --> 00:20:28,360
inventory, it's even more 
important because you all know 

400
00:20:28,360 --> 00:20:31,240
probably when you want to scale 
an inventory business, when you 

401
00:20:31,240 --> 00:20:34,400
have your own brand, you cannot 
scale with your own cash. 

402
00:20:34,400 --> 00:20:36,040
You need to take money from the 
bank. 

403
00:20:36,920 --> 00:20:38,720
Exactly. 
And you need to buy the stock 

404
00:20:38,720 --> 00:20:41,120
because the money, your cash 
flow is sitting in stock 

405
00:20:41,120 --> 00:20:43,080
basically. 
So if you don't have, if your 

406
00:20:43,080 --> 00:20:45,760
profit margins are not high 
enough, you will find yourself 

407
00:20:45,760 --> 00:20:50,600
stuck either need to take loan 
from the bank or just cannot 

408
00:20:50,600 --> 00:20:52,000
scale. 
And even if you take loan from 

409
00:20:52,000 --> 00:20:54,880
the bank, and I have good 
friends with large Amazon 

410
00:20:54,880 --> 00:20:57,600
businesses, stuff like 20 
million a year and stuff like 

411
00:20:57,600 --> 00:21:00,720
this that had an amazing 
business for years. 

412
00:21:01,400 --> 00:21:05,640
And because the profit margins 
are so low, something small 

413
00:21:05,640 --> 00:21:09,080
happened in your business and 
boom, everything gets stuck. 

414
00:21:09,120 --> 00:21:13,800
Suddenly you cannot, you cannot 
restock, you cannot fulfill and 

415
00:21:13,800 --> 00:21:15,480
you know, suddenly you're losing
all your volume. 

416
00:21:15,480 --> 00:21:18,640
So I would say profit margin is 
the most important thing. 

417
00:21:18,640 --> 00:21:23,600
And then of course, after this 
is I would not say is one thing 

418
00:21:23,600 --> 00:21:28,280
is the combination of 
competition, demand and then you

419
00:21:28,840 --> 00:21:31,560
unique selling point. 
Yeah, yeah, absolutely. 

420
00:21:31,800 --> 00:21:33,920
Is these three things together 
plus the profitability? 

421
00:21:34,960 --> 00:21:36,120
Yeah, Yeah. 
I love that you've said that 

422
00:21:36,120 --> 00:21:38,360
because there are so many brands
as well that try and lower their

423
00:21:38,360 --> 00:21:40,320
prices to get more people to buy
the product. 

424
00:21:40,320 --> 00:21:42,240
But then you're squeezing that 
profit margin. 

425
00:21:42,560 --> 00:21:45,200
I just, while you were talking 
about profit margins, I suddenly

426
00:21:45,200 --> 00:21:47,920
thought back to that example I 
gave of using your tool to find 

427
00:21:47,920 --> 00:21:50,560
products that have sold out. 
And you say, right, we've got a 

428
00:21:50,560 --> 00:21:51,920
very similar product we could 
push. 

429
00:21:52,280 --> 00:21:54,880
What you could also do is 
because it's sold out, you could

430
00:21:54,880 --> 00:21:57,600
use your tool to keep an eye on 
when they start selling that 

431
00:21:57,600 --> 00:21:59,160
product again when it's back in 
stock. 

432
00:21:59,400 --> 00:22:02,240
But until it's back in stock, 
you could offer a higher price 

433
00:22:02,240 --> 00:22:04,920
for your like for like product 
to give you more profit margin 

434
00:22:04,920 --> 00:22:06,880
because you're the only one 
selling it or you're the only 

435
00:22:06,880 --> 00:22:10,280
one pushing it right now because
you've highlighted in the data 

436
00:22:10,280 --> 00:22:12,200
that that is a really successful
product. 

437
00:22:12,200 --> 00:22:14,760
So there's probably some really 
good quick wins like that using 

438
00:22:14,760 --> 00:22:17,080
using the data aren't there? 
So much quick wins. 

439
00:22:17,120 --> 00:22:19,320
I can give you an example for 
insane quick win like. 

440
00:22:19,440 --> 00:22:21,840
Just to say and. 
It's from eBay. 

441
00:22:21,920 --> 00:22:26,360
It's one of my craziest products
and I came across, I came across

442
00:22:26,360 --> 00:22:30,800
a seller that had a very bad 
rating rate like 80% or 

443
00:22:30,800 --> 00:22:32,040
something. 
It's in eBay. 

444
00:22:32,040 --> 00:22:35,120
It was low back like 85% or 
something in beta. 

445
00:22:35,440 --> 00:22:37,760
It's disaster. 
I don't think if today you can 

446
00:22:37,760 --> 00:22:40,880
actually sell with such a low 
feedback rate. 

447
00:22:41,440 --> 00:22:46,400
Anyway, I see that these guys 
selling products like crazy and 

448
00:22:46,400 --> 00:22:49,160
I'm like how how this is 
possible, You know, like I start

449
00:22:49,160 --> 00:22:52,760
digging into the product and I 
realized he had a lot of 

450
00:22:53,040 --> 00:22:56,440
smartphones, all those Chinese 
smartphones, you know, unbranded

451
00:22:56,440 --> 00:22:58,520
smartphone. 
I'm looking into the title and 

452
00:22:58,520 --> 00:23:02,320
what I see all of them have the 
title World's smallest 

453
00:23:02,320 --> 00:23:04,040
smartphone. 
OK. 

454
00:23:04,800 --> 00:23:09,200
The guy somehow found this mini 
niche, world's smallest 

455
00:23:09,200 --> 00:23:14,200
smartphone, went to Amazon, 
search for small screen iPhone, 

456
00:23:14,200 --> 00:23:17,320
just brought four or five mini 
iPhone with like very small 

457
00:23:17,320 --> 00:23:22,280
screens and then just list them 
with this title World's smallest

458
00:23:22,480 --> 00:23:26,400
smartphone. 
So he was selling like crazy. 

459
00:23:26,400 --> 00:23:29,680
And it's it's basically based 
exactly on what you say, just 

460
00:23:29,680 --> 00:23:33,640
not on real supply, but on a 
specific term that has zero 

461
00:23:33,640 --> 00:23:35,160
competition. 
Yeah. 

462
00:23:35,240 --> 00:23:36,880
Yeah. 
So suddenly he was the only one 

463
00:23:36,880 --> 00:23:38,880
that's selling there. 
I think that's amazing. 

464
00:23:38,880 --> 00:23:42,000
I think it's so smart. 
We've done exercises in SEO as 

465
00:23:42,000 --> 00:23:45,400
well and kind of similar to 
finding that niche key Webber 

466
00:23:45,400 --> 00:23:48,040
Zero competition. 
We've done it with a few brands 

467
00:23:48,040 --> 00:23:51,120
where we've like SEO, optimized 
their tagline. 

468
00:23:51,280 --> 00:23:54,280
So not like a product or a 
click, optimize their tagline 

469
00:23:54,640 --> 00:23:57,200
and then they've gone and run. 
And so once we're #1 and we're 

470
00:23:57,200 --> 00:23:59,760
cemented there and no one's ever
mentioned it, then we run a big 

471
00:23:59,760 --> 00:24:02,160
PR campaign, loads of 
backlinking, loads e-mail. 

472
00:24:02,360 --> 00:24:04,800
So then we tell people to go and
search for this thing. 

473
00:24:04,960 --> 00:24:07,240
And we also do it with product 
launches sometimes as we will 

474
00:24:07,240 --> 00:24:10,040
create some content on the site 
and talking about a new product 

475
00:24:10,040 --> 00:24:12,640
that's coming that no one's 
already targeted that as a term 

476
00:24:12,840 --> 00:24:15,920
search volume zero. 
And then we create the demand. 

477
00:24:15,920 --> 00:24:19,720
But we're already number one, 
one of our secret sauce 

478
00:24:20,400 --> 00:24:21,960
projects. 
By the way, guys, if anyone 

479
00:24:21,960 --> 00:24:24,920
listening probably haven't said 
this before, but if if you get 

480
00:24:24,920 --> 00:24:27,240
to like Black Friday or Mother's
Day or one of the events 

481
00:24:27,240 --> 00:24:30,160
throughout the year and you're 
not number one on Google SEO, 

482
00:24:30,160 --> 00:24:32,240
you don't bother doing SEO 
because you kind of create the 

483
00:24:32,240 --> 00:24:33,680
content, put it up and then it's
gone. 

484
00:24:33,680 --> 00:24:36,400
So there's no point keep, 
there's no point even trying. 

485
00:24:36,880 --> 00:24:39,400
And we've been number one for a 
whole range of Black Friday and 

486
00:24:39,400 --> 00:24:42,040
Christmas and other keywords 
like Valentine's Day and stuff 

487
00:24:42,040 --> 00:24:45,000
for some of our clients for 
nearly ten years because we 

488
00:24:45,000 --> 00:24:46,760
create Evergreen content. 
So we've already got the 

489
00:24:46,760 --> 00:24:49,200
ranking, which changed the 
content when the time comes 

490
00:24:49,200 --> 00:24:51,640
round. 
It sounds really easy when I say

491
00:24:51,640 --> 00:24:53,760
that if you try and do it 
yourself, you probably won't get

492
00:24:53,760 --> 00:24:55,800
the ranking. 
There's a lot more to it, but 

493
00:24:55,800 --> 00:24:58,640
there's a whole strategy behind 
angling all of our SEO activity 

494
00:24:58,640 --> 00:25:02,120
to that one coming soon page or 
something for these things. 

495
00:25:02,400 --> 00:25:04,360
But again, it's similar to what 
you were saying about actually 

496
00:25:04,360 --> 00:25:05,880
there's zero competition in this
thing. 

497
00:25:06,600 --> 00:25:08,800
In your case, the search volume 
was already there, just no one 

498
00:25:08,800 --> 00:25:11,760
was targeting it. 
So I, I, I guess with your, you 

499
00:25:11,760 --> 00:25:14,280
know, with ZIC analytics, you, 
you can filter stuff to say, 

500
00:25:14,520 --> 00:25:17,480
let's target something where 
there's, there's a few sales 

501
00:25:17,480 --> 00:25:19,600
going through, but actually the 
competition's super low, but the

502
00:25:19,600 --> 00:25:22,160
search volume's really high. 
Find some of those keywords and 

503
00:25:22,160 --> 00:25:24,200
go right, let's get a product. 
You know, as you say, these guys

504
00:25:24,200 --> 00:25:27,080
with the small iPhone get a 
product and put it in, put it in

505
00:25:27,080 --> 00:25:29,280
a listing there, knowing that's 
the keyword we're going to 

506
00:25:29,280 --> 00:25:31,000
target. 
Yeah, exactly. 

507
00:25:31,200 --> 00:25:34,040
And sometimes you just find 
those opportunity by digging, 

508
00:25:34,040 --> 00:25:37,760
you know, by doing competitor 
analysis, product research, you 

509
00:25:37,760 --> 00:25:39,840
know, coming across different 
products, coming across 

510
00:25:39,840 --> 00:25:42,880
different sellers. 
Of course with Shopify is a 

511
00:25:42,880 --> 00:25:44,960
little bit different. 
Most of the sellers rely on 

512
00:25:44,960 --> 00:25:49,200
driving their own traffic. 
So some of them also of course 

513
00:25:49,200 --> 00:25:51,800
promote on Google Edwards and on
search engine. 

514
00:25:51,840 --> 00:25:53,520
That's a lot of them running 
Facebook ads. 

515
00:25:53,880 --> 00:25:58,520
Tick tock ads, interest ads. 
I was surprised to see a lot of 

516
00:25:58,520 --> 00:25:59,960
stores running Pinterest ads. 
Very. 

517
00:25:59,960 --> 00:26:00,560
Successful. 
Yeah. 

518
00:26:00,560 --> 00:26:01,960
Yeah, they can be really good. 
Yeah. 

519
00:26:03,320 --> 00:26:05,920
Nice, nice. 
And let's stay on the topic of 

520
00:26:06,040 --> 00:26:08,200
AI then. 
So what are some of the 

521
00:26:08,480 --> 00:26:10,480
actionable ways people can start
using? 

522
00:26:10,480 --> 00:26:12,200
I know we've given a few 
examples of this already. 

523
00:26:12,680 --> 00:26:14,920
If someone's running a Shopify 
store right now, what are the 

524
00:26:14,920 --> 00:26:18,680
top 2, maybe 3 things you would 
say that they should be using AI

525
00:26:18,680 --> 00:26:20,800
specifically around data and 
analytics for? 

526
00:26:21,920 --> 00:26:24,560
You wouldn't run a store 
yourself unless you had that 

527
00:26:24,560 --> 00:26:26,400
data and you were using AI to do
this. 

528
00:26:26,720 --> 00:26:29,120
Wow, I would just like use the 
main. 

529
00:26:29,120 --> 00:26:33,960
I would just like take and turn 
share GPT to be my my agent to 

530
00:26:33,960 --> 00:26:35,560
be honest. 
Like to do everything. 

531
00:26:35,800 --> 00:26:39,520
Of course I will still use Zeke 
analytics, Google Analytics, the

532
00:26:39,520 --> 00:26:41,760
Shopify analytics. 
I will collect information from 

533
00:26:41,760 --> 00:26:44,920
everywhere on the Facebook 
analytics, but I will just let, 

534
00:26:45,400 --> 00:26:48,080
I will just create different 
project in church GPT for all 

535
00:26:48,080 --> 00:26:52,360
the different things and just 
going to be my analyst, 

536
00:26:52,800 --> 00:26:58,200
copywriter, create images, 
everything, customer service, 

537
00:26:58,240 --> 00:27:00,480
everything. 
It is today one person can do 

538
00:27:00,480 --> 00:27:03,360
what 20 people could do just a 
year ago. 

539
00:27:04,120 --> 00:27:06,120
Yeah, absolutely. 
And just on the image images 

540
00:27:06,120 --> 00:27:09,400
within ChatGPT, we've used it on
a few clients where we've got a 

541
00:27:09,400 --> 00:27:12,000
white background image or a 
transparent background image of 

542
00:27:12,000 --> 00:27:14,560
a product. 
You give that to ChatGPT and 

543
00:27:14,560 --> 00:27:17,320
just say, right, put it on a 
beach, put it in a park, put it 

544
00:27:17,320 --> 00:27:19,720
on someone's desk and put it on 
someone's head. 

545
00:27:19,920 --> 00:27:23,480
It's incredible the amount of 
places ChatGPT can do that. 

546
00:27:23,800 --> 00:27:26,760
And as you say, the projects, I 
feel like the projects are the 

547
00:27:26,760 --> 00:27:29,280
things people miss the most. 
They don't set up different 

548
00:27:29,280 --> 00:27:32,080
projects with different agents 
for different things, which 

549
00:27:32,240 --> 00:27:34,400
you're just missing a trick 
because you want to, you want to

550
00:27:34,400 --> 00:27:36,680
have the same conversation with 
the same agent all the time, all

551
00:27:36,680 --> 00:27:37,960
the time. 
Because they learn, don't they? 

552
00:27:37,960 --> 00:27:39,880
They start understanding what 
you like, what you don't like, 

553
00:27:39,880 --> 00:27:41,560
and you've got to feed that 
information back to them. 

554
00:27:41,560 --> 00:27:43,800
Yeah. 
Yeah, I also one of the things I

555
00:27:43,800 --> 00:27:49,880
found very useful with JGPT is I
stopped telling JGPT what to 

556
00:27:49,880 --> 00:27:54,360
hold to be, but I always ask 
what before you start, what 

557
00:27:54,360 --> 00:27:58,040
skills and roles you're going to
use to execute this task on the 

558
00:27:58,040 --> 00:28:02,400
best way. 
And then share GPT does the does

559
00:28:02,400 --> 00:28:05,200
the research what he should use,
suggests me everything. 

560
00:28:05,360 --> 00:28:09,280
If I see something is wrong, I 
remove it and I move from there.

561
00:28:09,360 --> 00:28:11,440
And the results improved 
dramatically. 

562
00:28:11,440 --> 00:28:14,120
And I think every person I'm 
telling now to every person that

563
00:28:14,120 --> 00:28:18,920
listening that they should feel 
responsible to learn how to use 

564
00:28:19,080 --> 00:28:22,080
share GPT and not just share GPT
other tools, OK? 

565
00:28:22,920 --> 00:28:26,920
Because if, if anyone that is 
listening now include both of 

566
00:28:26,920 --> 00:28:28,760
us. 
If we're not going to be able to

567
00:28:28,800 --> 00:28:32,800
expert this tool in a year from 
now, we're going to be behind 

568
00:28:32,920 --> 00:28:36,280
many other people that know how 
to use all those tools to save 

569
00:28:36,320 --> 00:28:38,960
tons of times and be 10 times 
more productive. 

570
00:28:39,680 --> 00:28:40,920
Yeah, yeah. 
And I think it's the difference 

571
00:28:40,920 --> 00:28:43,360
between waking up 1 morning and 
going, my competitors website 

572
00:28:43,360 --> 00:28:45,360
looks amazing and all that 
photography looks incredible. 

573
00:28:46,000 --> 00:28:47,760
And they seem to change it every
week. 

574
00:28:47,760 --> 00:28:50,360
You know, it's like if it starts
raining, they put more raining 

575
00:28:50,360 --> 00:28:52,640
pictures on their products. 
And I mean, we've got the 

576
00:28:52,640 --> 00:28:55,520
ability to have that sort of 
real time update now. 

577
00:28:55,520 --> 00:28:57,080
So I, I feel like there's no 
excuse. 

578
00:28:57,400 --> 00:29:00,560
And we're, we're using sheet 
GBT, we're using that Chrome AI 

579
00:29:00,560 --> 00:29:03,200
plug in that I'm using, we're 
using ChatGPT. 

580
00:29:03,560 --> 00:29:05,800
And the thing we're not using it
for as well just to flag as an 

581
00:29:05,840 --> 00:29:09,000
SEO guy, not using it to write 
content yet It comes up with 

582
00:29:09,000 --> 00:29:12,080
ideas, it writes some content, 
but the amount of weird things 

583
00:29:12,080 --> 00:29:14,840
it does and one of my team flags
something earlier today that I 

584
00:29:14,840 --> 00:29:18,200
had never heard of, but I 
googled it and it is a thing AI 

585
00:29:18,200 --> 00:29:22,160
tools when they put a dash 
somewhere, they put a longer 

586
00:29:22,160 --> 00:29:26,280
dash than the dash on the UK or 
US keyboard on a laptop. 

587
00:29:26,600 --> 00:29:29,280
So if you see a long dash 
somewhere, someone's copied and 

588
00:29:29,280 --> 00:29:32,120
pasted that off off AI. 
And what we've, what we've done 

589
00:29:32,120 --> 00:29:34,760
as well is we've, we've started 
searching on both our clients 

590
00:29:34,760 --> 00:29:37,240
and other clients websites 
earlier to literally just today 

591
00:29:37,400 --> 00:29:40,200
and same day we're recording 
this and we found loads of them 

592
00:29:40,200 --> 00:29:45,000
on people's blog posts and all 
sorts, which you can take, take 

593
00:29:45,000 --> 00:29:47,240
or leave this guys, This is a 
slightly controversial comment, 

594
00:29:47,240 --> 00:29:49,960
but one, one person I did talk 
to earlier, I mentioned this to 

595
00:29:49,960 --> 00:29:52,160
you. 
He said, any site I find the 

596
00:29:52,160 --> 00:29:54,640
long dash on, I'm going to 
report their content to Google 

597
00:29:54,640 --> 00:29:57,960
as AI content to say it's not 
unique, it's not been written by

598
00:29:57,960 --> 00:30:01,000
a human, it's not not authentic.
I'm going to go and flag them 

599
00:30:01,000 --> 00:30:02,360
all. 
I'll leave that with you guys. 

600
00:30:02,720 --> 00:30:04,360
You can decide if you want to do
that or not. 

601
00:30:04,600 --> 00:30:07,920
But I did think it's smart. 
You know, there's been changes 

602
00:30:07,920 --> 00:30:10,960
to cookie banners and stuff 
recently where I am. 

603
00:30:11,000 --> 00:30:12,840
Again, I won't go into the 
details because I'm not a legal 

604
00:30:12,920 --> 00:30:16,320
representative, but if you 
believe you are following all of

605
00:30:16,320 --> 00:30:18,680
the rules and something and 
other people aren't, there is an

606
00:30:18,680 --> 00:30:20,840
opportunity to report them. 
And if they get taken down, 

607
00:30:20,840 --> 00:30:23,000
you're the only one left. 
So we talk about those people 

608
00:30:23,000 --> 00:30:24,680
that have sold out and you're 
the only one with the product. 

609
00:30:25,040 --> 00:30:27,600
Same basis, but business wide. 
If people get in trouble with 

610
00:30:27,640 --> 00:30:29,760
with the regulators, I don't 
want to create like a really 

611
00:30:29,760 --> 00:30:32,120
hostile environment for 
everybody and you know, kind of 

612
00:30:32,120 --> 00:30:33,400
go back to the Wild West 
Cowboys. 

613
00:30:33,400 --> 00:30:36,840
But I do think it's important. 
And but I've I've got one final 

614
00:30:36,840 --> 00:30:39,440
question for you today. 
And I know it's a big question 

615
00:30:39,440 --> 00:30:41,160
and we could probably do a whole
nother episode on this. 

616
00:30:41,160 --> 00:30:44,280
But if, if you were, if 
someone's sitting there right 

617
00:30:44,280 --> 00:30:46,240
now going, I don't have a store,
but I'm going to start drop 

618
00:30:46,240 --> 00:30:49,880
shipping, going to run Shopify 
on eBay or I've got a store and 

619
00:30:49,880 --> 00:30:50,840
I'm doing a bit of drop 
shipping. 

620
00:30:50,840 --> 00:30:52,640
I'm not doing any, but I'm going
to do more. 

621
00:30:52,640 --> 00:30:55,000
I'm going to fresh start drop 
shipping and look at it fresh. 

622
00:30:55,320 --> 00:30:59,480
How would you advise those guys 
start drop shipping today to do 

623
00:30:59,480 --> 00:31:01,680
it productively? 
You know what's your kind of 123

624
00:31:01,920 --> 00:31:03,320
to make it work as best as 
possible. 

625
00:31:04,120 --> 00:31:08,600
I would say start with taking 
like 20 hours, like literally 20

626
00:31:08,600 --> 00:31:13,120
hours or couple of days of the 
week and and do a proper 

627
00:31:13,120 --> 00:31:15,000
research. 
Put everything aside. 

628
00:31:15,000 --> 00:31:21,280
Come without any you know 
opinion or or expectation or 

629
00:31:21,640 --> 00:31:25,120
ideas in your mind. 
Come completely clean and just 

630
00:31:25,120 --> 00:31:28,360
start doing research and 
crossing data from different 

631
00:31:28,360 --> 00:31:33,920
platform crossing. 
Take let's say new product 

632
00:31:33,920 --> 00:31:37,800
research on ZIC, compare it with
Google searches, compare it with

633
00:31:37,800 --> 00:31:43,120
different sources of traffic, 
surge on Facebook, surge on 

634
00:31:43,120 --> 00:31:49,880
TikTok and come up with list of 
minimum 5 products after these 

635
00:31:49,880 --> 00:31:55,040
20 hours of research with a 
checklist of for each product. 

636
00:31:56,240 --> 00:32:00,000
And then after you do the proper
research, decide which product 

637
00:32:00,000 --> 00:32:03,960
you want to go on full in. 
OK, full in and then put 

638
00:32:03,960 --> 00:32:07,320
yourself minimum six months, I 
would say even 12 months, but 

639
00:32:07,320 --> 00:32:11,560
minimum six months and do 
everything you can for this time

640
00:32:11,720 --> 00:32:14,880
to make this product successful.
Now of course, if you have more 

641
00:32:14,880 --> 00:32:21,360
time and if you are like more 
more advanced, you can also test

642
00:32:21,360 --> 00:32:24,360
20 products, 100 products. 
From my experience, sometimes 

643
00:32:24,360 --> 00:32:26,520
you need to test 10 products 
until you find your winner. 

644
00:32:26,520 --> 00:32:28,560
But you need to do the proper 
research. 

645
00:32:28,560 --> 00:32:31,720
Don't start from gut feeling 
like you said in the beginning 

646
00:32:31,720 --> 00:32:33,400
don't say I think red going to 
sell well. 

647
00:32:33,400 --> 00:32:35,960
So bring the red. 
This will save you so much 

648
00:32:35,960 --> 00:32:38,960
frustration, so much money and 
so much pain if you do a proper 

649
00:32:38,960 --> 00:32:40,520
research. 
So start with the research, 

650
00:32:40,800 --> 00:32:44,120
create a list of minimum 5 
products and then focus on those

651
00:32:44,120 --> 00:32:45,680
five products for the first six 
months. 

652
00:32:46,000 --> 00:32:49,560
And of course add more products 
on the go until you find your 

653
00:32:49,560 --> 00:32:51,960
winner. 
And then the next step, build a 

654
00:32:51,960 --> 00:32:53,880
brand. 
Of course drop shipping is cool 

655
00:32:53,880 --> 00:32:57,160
and everything, but also the 
good drop shippers, they start 

656
00:32:57,160 --> 00:33:00,600
drop shipping, they turn into 
brand branded drop shipping and 

657
00:33:00,600 --> 00:33:03,840
eventually making a brand. 
So that's what I can say. 

658
00:33:04,680 --> 00:33:06,320
Amazing. 
I think it's really good advice.

659
00:33:06,320 --> 00:33:09,720
And I think investing, I love 
the fact you've given like how 

660
00:33:09,720 --> 00:33:12,080
much time people should invest, 
how many products they want to 

661
00:33:12,080 --> 00:33:14,440
start with. 
I completely agree. 

662
00:33:14,440 --> 00:33:16,400
And I think whether it's, as I 
say, whether you're already a 

663
00:33:16,400 --> 00:33:18,560
merchant making your own 
products and it's like, well, 

664
00:33:18,560 --> 00:33:20,360
let's start drop shipping a few 
bits and pieces. 

665
00:33:20,640 --> 00:33:23,200
You know, you might be a coffee 
roaster, but you could drop ship

666
00:33:23,200 --> 00:33:25,880
loads of like, you know, thermal
coffee cups and T-shirts and 

667
00:33:25,880 --> 00:33:28,720
lots of other stuff of which we 
do have a coffee company coming 

668
00:33:28,720 --> 00:33:30,560
on and I will be wearing their 
T-shirt because they're sending 

669
00:33:30,560 --> 00:33:32,360
me AT shirt. 
So keep an eye out for that 

670
00:33:32,360 --> 00:33:34,920
guys. 
But I love your advice, Neha, 

671
00:33:34,920 --> 00:33:36,160
and I really appreciate your 
time. 

672
00:33:36,360 --> 00:33:38,800
If you guys haven't already 
checked it out while you've been

673
00:33:38,800 --> 00:33:42,600
listening, ZIK Analytics, Zik 
Analytics, we will put a link to

674
00:33:42,600 --> 00:33:45,040
it in the description as well. 
If you want to go and click 

675
00:33:45,080 --> 00:33:47,760
that, go and check it out. 
Do you guys as well, I'm not 

676
00:33:47,760 --> 00:33:49,800
aware of this or not, but I'm 
going to ask you live while 

677
00:33:49,800 --> 00:33:51,560
we're recording, do you guys 
have a free trial? 

678
00:33:51,560 --> 00:33:54,000
Is there a way to test it? 
Is there a demo they can go on? 

679
00:33:54,280 --> 00:33:59,120
Yeah, there is a $1.00 trial for
seven days, so you can go try it

680
00:33:59,280 --> 00:34:02,720
out, play with it. 
Check out the YouTube channel as

681
00:34:02,720 --> 00:34:04,480
well. 
There is great training. 

682
00:34:04,480 --> 00:34:07,440
We just released a series of 
training videos on each tool, 

683
00:34:07,440 --> 00:34:10,600
including strategies and stuff, 
so it's really helpful. 

684
00:34:10,600 --> 00:34:12,280
So just, you know, try it out. 
Cool. 

685
00:34:12,280 --> 00:34:14,520
And if you can't afford a dollar
to give it a test, you're in the

686
00:34:14,520 --> 00:34:16,280
wrong industry. 
You're getting a lot more than 

687
00:34:16,280 --> 00:34:18,199
$1.00 to to get this thing 
running. 

688
00:34:18,199 --> 00:34:20,520
So Nahar, I really appreciate 
your time. 

689
00:34:20,520 --> 00:34:21,400
Thank you so much for joining 
us. 

690
00:34:21,400 --> 00:34:22,840
I appreciate everything you 
shared with us today. 

691
00:34:23,040 --> 00:34:24,520
Thank you, Nick. 
Have a nice day. 

692
00:34:24,560 --> 00:34:25,000
Thank you.
