Today on the Winning with Shopify podcast.
What I'm trying to say, like you guys, you're like the tech.
And now my AI agent is starting to learn what I want.
And I imagine it's the same with some of your tools that.
You want to look for the opportunities to to penetrate
the market. One, but you train it to start
to go, this works for me and this doesn't.
The biggest crimes people commit on their own brand is to say,
we're going to launch a red one. This product's so popular, this
blue product, we're going to launch a red one, let's do it.
And then it flops. Hello and welcome to another
episode of the Winning with Shopify podcast.
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time. Today you've got very special
episodes. I'm joined by an absolute
legend, Nahar from Zik Analytics.
And Nahar, welcome to the show. Thank you very much, Nick.
It's pleasure being here. Really pleasure.
I've been listening to your podcast for a while.
Great job and I'm very happy to be here.
Yeah. Good, good.
Well, I hope you've enjoyed it. I, I struggled to listen to it
myself. I hope you found final guests
and everybody else useful, which is good for anyone that's
sitting there going something analytic.
Zic that sounds different. That's not GA 4, that's not
Shopify analytics. It's not some of the some of the
other players I might have heard of.
Tell us a bit about your background and also about Zic
Analytics and how the two things fit together.
Absolutely. So I'm in e-commerce since 2015.
I started with eBay. The reason I started with with
e-commerce was that I moved to a new country.
I moved to live in Germany. I could not speak German and
this was my only way to find the ways to make money.
So I came across drop shipping and eBay and e-commerce and I
started my journey online and then starting from there.
You know, back then no one talked about product research,
no one talked about market research.
Most of the sellers we're basically more of of I would say
digital nerds than actual traders.
And everyone just focus on go ahead, you know, grab products,
put on your store and everything will be OK.
And when I started, it was pretty tough in the beginning.
I started look for reasons what you know, how do I know I'm
going to sell this product? How do I know this product is
going to sell? There is demand competition.
I came from the from the real world business and in in real
world business, you know, I knew that, OK, how many people are
passing the street? How many people coming to the
mall? What is my location?
You know, how many people going to enter?
What's the price of the competitors?
So all this information was, you know, important to make decision
whether buying a stock from a product or not.
And this is how the idea of Zika Analytics came.
I was first, you know, just relying on data that I find
across eBay in other marketplaces, trying to
calculate demand competition manually.
And I came up with a method that helped me pick products and then
my drop shipping business start growing.
And once I realized, wow, now you developed this manual method
that help you find winning products.
You should like do something about it.
You should teach people and you should maybe even build an
automation like a software. And this is how the idea of Zeke
Analytics came. Zeke Analytics is a product
research or a market research platform for e-commerce sellers.
We support today everyone drop shippers, inventory sellers,
brand owners. We bring data mainly from eBay
and Shopify marketplaces. So if you compare Zeke to other
product research to other product finding tools, we don't
just rely on the supplier data, but we want to give our users
and the sellers the data from the marketplace to really be
able to see demand, competition, average selling prices and other
important data points that can help you make decisions.
So yeah, this is in a short story who I am in the e-commerce
world and how the idea of Zeke came and what Zeke does.
Amazing. And from my perspective,
obviously working PPCSEA, we do customer acquisition, we bring,
we bring people to websites and try and convince them to buy
stuff. But actually what you're talking
about is a whole set of analytics that's completely
outside of generally my sphere of, of, of what we can see
because we can't see the demand of things.
We can see a search volume on Google and say, right, 10,000
people have searched this item. But actually to get the
analytical data on who's buying stuff, I think it's really,
really important. Hence why we've, we've invited
you on the show to today to talk about it and give us a quick,
give us a quick overview to how to get in touch with you as
well. So if anyone's listening and
want to look around the website or check you guys out, what's
your website address? Hey, it's zikanalytics.com.
You can find it on on on the web, on YouTube, social media.
Nice, nice. And it's spelled Zik.
Isn't it Zik Analytics? Yeah.
Amazing, amazing. So let's talk about some of this
data then. So our listeners are kind of
split between there's a good bunch of drop shippers, there's
a load of you guys listening that are your own brand.
So you've like bought products in with your logo on, you're
selling them, some of you are manufacturing your own products.
Talk me through some of the data and some of the decisions that
brands then make now that they have that supply demand and kind
of real time data to say this product is booming at the
moment. You know what?
What are you actually going to use that information for and how
do they get it from your system? So it's a great question and I
think that the God is in the details, like the opportunities
are in the small details. And usually when I teach people
about product research, you know, I had a demonstration what
I'm trying to say, like you guys, you're like detectives,
you know, you're like detectives, you're looking for
the small clues. And I give one story, one
example, like imagine you're a detective.
You get a phone call, you know, you get a phone call.
Hey, there was a shooting in this house.
Please come right now. You arrive, you come to the
house, you see two holes in the door, broken window and blood on
the sheets. What do you think happened?
Right?
Someone shot from. Outside the door.
Yeah, exactly. Shot from outside the door.
Someone got hurt and maybe ran away from the window, right?
So it's exactly the same with product.
It's not just about how many sales this product got or how
many people are selling this product as a brand owner.
And I'm pretty much sure that lots of people now will relate
even they even if they didn't thought about it the same way,
but they still thought about it. A lot of sellers is that you
want to look for the opportunities to break, to
penetrate the market, to be different, to be unique.
So you want to on one way. You want to validate demand of
course, because you want to buy inventory or producer product or
produce a new product that people are looking for.
There is demand, but on the other hand you want to see what
other competitors are doing, what features the product have,
colors, sizes, packaging, services like shipping, the
money back guarantee. You want to know all the details
and then you want to put all together and then make the
decision this is a great opportunity or not.
Let me give you an example, OK? For example, if I came across a
seller that launched a product just three weeks ago and this
product already sold 10,000 times, OK?
And this product only sell in one unit, OK, But there is a
need for this product to be sell also in multiple units together,
let's say like a pack of five or stuff like this.
I have an opportunity why I have a new seller, which means it's a
new seller who generate a lot of sales and already managed to
generate success. It's not an established branded
long time in the market, right? So as a as a new seller myself
or as in or as a person who's going to sell new products for
the for the first time, I already know this guy succeed
very early. It means he's doing something
very good. The demand is there, the product
is there, right? So I already know the success
rate is higher. Now I second thing is I
recognize an opportunity where I can offer this product in
bundles or I can add something else to the product.
Maybe I can improve the feature. Maybe I just recognize that the
SEO can be done much better. Yeah, yeah, I love that.
And it's when we look at competitors, the thing that I,
if I'm mildly frustrating, I will say, so any existing
clients listening, like, please don't think I'm moaning here,
but we make a lot of decisions and I'm on a war against making
decisions this way. We do them based on what we
think and we do them based on gut feel, not based on data.
And that I think is one of the biggest crimes people commit.
Come back to your murder scene. The biggest crimes people commit
on their own brand is to say, we're going to launch a red one.
This product so popular, this blue product, we're going to
launch a red one, let's do it. And then it flops.
And because you've not looked properly at the data, as you
say, to understand what is the best color to be offering.
Well, why don't you actually do a sample run or use data like
you've got to say, well, actually on eBay at the moment
and in the Shopify marketplaces, there are 10,000 blue ones being
sold, 40,000 yellow ones and no red ones.
And we're thinking of selling a red one.
Well, like you're trying to sell one that nobody wants to buy at
the moment. So why don't you?
I guess it's two sides to this, isn't it?
One is jump on the bandwagon and say popular product, let's offer
the same thing, sell the same thing, offer our own variation
on this. The other one that sprung to
mind when you were explaining that that new seller that sold
10,000 units, I was thinking that actually if you kept an eye
on how much your competitors sold out on certain products and
I know a way to do this off the back of Shopify and it'll be to
use their shopping feeds. Now back to the show, because
every Shopify store has a shopping fee that comes out to
Google. So if you check those every
morning and set up some sort of alert to go, my competitors
product here is has gone out of stock since yesterday.
You could use your data to go, it's gone out of stock and tons
of them are selling on the marketplaces and eBay right now.
Therefore, we've got some of those we need to e-mail our
customers about them, put it on our homepage, push it in our
marketing because we're not pushing it right now, but we
know someone else is selling out of it.
As much as as you say, the devil's in the detail of looking
at these products are doing well and we're pushing all this stuff
over here. I, I so often see it with brands
as well where you've got like 10 kind of flagship products and
two of them sell really well. The other rate you're trying to
push because you accidentally ordered too many.
And I think you again using the data to avoid things like that
happening. Is is so important, isn't?
It of course and this and what you just say like this is like
the way you explain it. This is how every brand owner
should play your because imagine people are going investing
thousands of dollars on stock, building a website, building a
brand, social channels, ads. You should use all set of
different analytic tools and combine the data together.
And we have few unique use cases of sellers are doing it and
they're extremely well. They use, you know, like you
say, they come from U world, Google shopping, Google Adwords
and all these kind of things bringing traffic data, but then
combining it with real demand and real sales.
And then it works both for ads and for SEO.
Why? Because suddenly it's not just
this this search term have 50,000 surges every month.
Is this search that maybe have just 5000 surges every month.
But the conversion rate and the sales that this search term
actually bring on Shopify and on eBay, which, by the way, eBay in
this game terms of SEO much more powerful because it's a surge
engine. Yep, it's it's amazing
conversion rate. So now I actually should go and
spend on this keyword much more money because the conversion
rate on this team is much powerful.
Yeah, Yeah. We actually do a lot with our
STO team. We actually do quite a lot on
Amazon and eBay to optimize their listings to get them found
more. And certainly on the Amazon side
as well. We started then doing paid
listings and we get the most incredible ROI on them because
we've optimized them using Google and Amazon data to do
that. And the same with eBay.
I think there's a huge opportunity there, but I guess
to change gears slightly as well and go up another gear.
So we got all this data. Obviously, we're living in the
AI age now. Like how does AI or how can AI
play a part in analyzing? You know, if you've got half a
million different products in your site, especially as a drop
shipper, because you can just keep adding stuff because you
don't have to stock it as a drop shipper.
As an example, how can you use AI to then filter it down and
come back to you and say these are the things you should be
selling based on what I know about your business rather than
you having to look through the data yourself?
Or, or is there a different way you guys are using AI at the
moment? So we have three AI tools in the
platform. It's called the Autopilot tuber
scanner and the bulk scanner. It's basically 1 is just semi
automated and then the other two are automated.
They are specifically for drop shippers and what it does is
just taking products from eBay and from other marketplaces and
able to automatically match them 100%.
So for a drop shipper for instance, you don't need to do
anything. You just go there, put in the
filters. I want products with two sales
in the last seven days selling for this price.
From this category, you click on the button and you just get list
of products with the sales history, with sales record, with
the competition records, all based on your filters.
So this is how those tools basically work.
There are of course AI in all other areas of the business
which is not product research, which is also very powerful, but
this is another topic if you want to cover.
Yeah, yeah, absolutely. And I'm just going to fill in a
blank quickly as well. I meant to.
I've got it in my notes written in front of me to say this
earlier, but we're talking a bit about drop shipping today, guys.
And so if even if you're not a drop shipper, still super useful
to use data like this to make decisions and sell products and
push products that people want to buy when they want to buy
them. That's all great.
We've had quite a few people on talking about drop shipping,
both brands and people, people, you know, like yourself who
work, work kind of supplier side, tech side.
And actually if you want to launch a new product, but you
don't want to stock it and do a massive order of them, you just
want to sell a new product to say we sell sunglasses with hats
sell well on our website. Drop shipping is a fantastic
option to widen your skew base. It might even be that you say,
you know what, our sunglasses are amazing.
So we're going to drop ship other sunglasses that aren't
quite as good because of that marketing parallel we want to
put on the site saying like our, our official kind of premium or
platinum range are amazing and they're much better when you put
them compared to one of our drop shipped products.
They're still there if you want to buy them.
But just to make the point that actually, even if you're not
drop shipping, don't tune out like this is all still relevant
to you. I think but and but definitely
not hard. Like tell us more about this
because I think that some of the AI engines and the way brands
are using them, I think it's just so important moving forward
at the moment. Yes, of course.
Look, I can tell you even, you know, just about the e-commerce,
even in my business, like in the software business.
And then we use AI everywhere. I encourage my I encourage my
team to transition as much as possible to AI, to become master
of AI tools. It's just the beginning, the
early days. I believe that in a year from
now, things are going to look even more advanced.
Everything moved to AI. But at the same time, we don't
need to get too excited about it.
We need to be, you know, like really hands on.
Also when we use AI and slowly slowly with the future, I'm sure
things will be more more like specific and will be easier to
use. Yeah, yeah, absolutely.
The other thing with AI, I've been testing this the last few
days is I've got a Chrome. I won't say what it's called
because I'm not very happy with it, but it is brand new and the
guy Will who's made it is emailing me like crazy because
he wants my feedback. And we've, we've made the tool
Better Together. But I'm using an AI engine
that's a Chrome plugin that can click around my screen and do
stuff even when I'm on another Chrome tab, which is just, I
mean, it's a complete game changer.
So what it is, I leave it running using, I won't say
exactly what I'm using it for, but it looks at like 3 or 4
different sites and pulls together information, puts it
all into a spreadsheet for me. And then it also is now using
color coding and scoring to say this is the one.
These are the ones you should start with.
If you've only got one hour, just do this bit.
If you've got five hours, do all of them.
But it's pulling together information from multiple places
told me that I can do that. But it, but it has taken me 3 or
4 days. As you say, it's it's early
stage. It's taken me 3 or 4 days of
just on a second laptop like writing notes going, hey, go and
try this, change this, don't do this, do do this.
And now my AI agent is starting to learn what I want.
And I imagine it's the same with some of your tools that
merchants are using. It's like when they first click
go on it. It's probably not going to give
them exactly what they want, but you train it to start to go.
This works for me and this doesn't.
Yeah, yeah, yeah, yeah, exactly like.
What are some of the ways that drop shippers could understand
more about their audience then? So we spoke a lot about the
products, but how can they understand their audience a bit
more and some of their customers and the way their customers shop
using your tool? So on the Shopify part, you can
learn a lot about the like the apps that the shop is using, the
ads that the stores are running and all those kind of things.
So I would say to learn about the audience is mainly through
the ads on the eBay part, again, you don't have audience data
much on eBay. It's a search engine.
So you have like search data, you have keywords data.
So you do it from the reverse engineering.
You basically it's in the end, it's like you're not selling a
product on eBay, you're selling keywords.
This is what you do. You're selling keywords.
So all what you need to do is to make sure you sell, you have the
you make the match. I always say have the right
product with the right keyword. Sometimes you can miss in one
inch and it's not going to sell out.
Other times it's just perfectly described with the perfect
product people are looking for and boom, you have a winner.
You know, so we provide more the marketplace data, less the
audience data. OK, That makes a lot of sense.
As you say, even with the search data on eBay or looking at the
apps and ads that stores are using on Shopify, you can
understand like if all of your competitors are using an app
that is a loyalty app and you're not.
That's a really important piece of information that you can get
quickly using your tool as opposed to crawling through the
code or using something like built with that only gives you
so much data. So I think it's really, really
important to do that. And what are some of the, when
you're looking at any kind of data, whether it's product or
audience data, what are some of the metrics people should really
be looking at? Because we've spoken about sales
and keyword searches, are there any other metrics people should
really focus on when making decisions about some of the
stuff? Yeah, it's the profit, profit
margin. I think in our world right now
where we need to run ads, we need to do affiliate marketing,
there is so many things to do. The bigger, the higher is the
profit margin, the more chances we have to succeed.
This is how it is. And then if you buy your own
inventory, it's even more important because you all know
probably when you want to scale an inventory business, when you
have your own brand, you cannot scale with your own cash.
You need to take money from the bank.
Exactly. And you need to buy the stock
because the money, your cash flow is sitting in stock
basically. So if you don't have, if your
profit margins are not high enough, you will find yourself
stuck either need to take loan from the bank or just cannot
scale. And even if you take loan from
the bank, and I have good friends with large Amazon
businesses, stuff like 20 million a year and stuff like
this that had an amazing business for years.
And because the profit margins are so low, something small
happened in your business and boom, everything gets stuck.
Suddenly you cannot, you cannot restock, you cannot fulfill and
you know, suddenly you're losing all your volume.
So I would say profit margin is the most important thing.
And then of course, after this is I would not say is one thing
is the combination of competition, demand and then you
unique selling point. Yeah, yeah, absolutely.
Is these three things together plus the profitability?
Yeah, Yeah. I love that you've said that
because there are so many brands as well that try and lower their
prices to get more people to buy the product.
But then you're squeezing that profit margin.
I just, while you were talking about profit margins, I suddenly
thought back to that example I gave of using your tool to find
products that have sold out. And you say, right, we've got a
very similar product we could push.
What you could also do is because it's sold out, you could
use your tool to keep an eye on when they start selling that
product again when it's back in stock.
But until it's back in stock, you could offer a higher price
for your like for like product to give you more profit margin
because you're the only one selling it or you're the only
one pushing it right now because you've highlighted in the data
that that is a really successful product.
So there's probably some really good quick wins like that using
using the data aren't there? So much quick wins.
I can give you an example for insane quick win like.
Just to say and. It's from eBay.
It's one of my craziest products and I came across, I came across
a seller that had a very bad rating rate like 80% or
something. It's in eBay.
It was low back like 85% or something in beta.
It's disaster. I don't think if today you can
actually sell with such a low feedback rate.
Anyway, I see that these guys selling products like crazy and
I'm like how how this is possible, You know, like I start
digging into the product and I realized he had a lot of
smartphones, all those Chinese smartphones, you know, unbranded
smartphone. I'm looking into the title and
what I see all of them have the title World's smallest
smartphone. OK.
The guy somehow found this mini niche, world's smallest
smartphone, went to Amazon, search for small screen iPhone,
just brought four or five mini iPhone with like very small
screens and then just list them with this title World's smallest
smartphone. So he was selling like crazy.
And it's it's basically based exactly on what you say, just
not on real supply, but on a specific term that has zero
competition. Yeah.
So suddenly he was the only one
that's selling there. I think that's amazing.
I think it's so smart. We've done exercises in SEO as
well and kind of similar to finding that niche key Webber
Zero competition. We've done it with a few brands
where we've like SEO, optimized their tagline.
So not like a product or a click, optimize their tagline
and then they've gone and run. And so once we're #1 and we're
cemented there and no one's ever mentioned it, then we run a big
PR campaign, loads of backlinking, loads e-mail.
So then we tell people to go and search for this thing.
And we also do it with product launches sometimes as we will
create some content on the site and talking about a new product
that's coming that no one's already targeted that as a term
search volume zero. And then we create the demand.
But we're already number one, one of our secret sauce
projects. By the way, guys, if anyone
listening probably haven't said this before, but if if you get
to like Black Friday or Mother's Day or one of the events
throughout the year and you're not number one on Google SEO,
you don't bother doing SEO because you kind of create the
content, put it up and then it's gone.
So there's no point keep, there's no point even trying.
And we've been number one for a whole range of Black Friday and
Christmas and other keywords like Valentine's Day and stuff
for some of our clients for nearly ten years because we
create Evergreen content. So we've already got the
ranking, which changed the content when the time comes
round. It sounds really easy when I say
that if you try and do it yourself, you probably won't get
the ranking. There's a lot more to it, but
there's a whole strategy behind angling all of our SEO activity
to that one coming soon page or something for these things.
But again, it's similar to what you were saying about actually
there's zero competition in this thing.
In your case, the search volume was already there, just no one
was targeting it. So I, I, I guess with your, you
know, with ZIC analytics, you, you can filter stuff to say,
let's target something where there's, there's a few sales
going through, but actually the competition's super low, but the
search volume's really high. Find some of those keywords and
go right, let's get a product. You know, as you say, these guys
with the small iPhone get a product and put it in, put it in
a listing there, knowing that's the keyword we're going to
target. Yeah, exactly.
And sometimes you just find those opportunity by digging,
you know, by doing competitor analysis, product research, you
know, coming across different products, coming across
different sellers. Of course with Shopify is a
little bit different. Most of the sellers rely on
driving their own traffic. So some of them also of course
promote on Google Edwards and on search engine.
That's a lot of them running Facebook ads.
Tick tock ads, interest ads. I was surprised to see a lot of
stores running Pinterest ads. Very.
Successful. Yeah.
Yeah, they can be really good. Yeah.
Nice, nice. And let's stay on the topic of
AI then. So what are some of the
actionable ways people can start using?
I know we've given a few examples of this already.
If someone's running a Shopify store right now, what are the
top 2, maybe 3 things you would say that they should be using AI
specifically around data and analytics for?
You wouldn't run a store yourself unless you had that
data and you were using AI to do this.
Wow, I would just like use the main.
I would just like take and turn share GPT to be my my agent to
be honest. Like to do everything.
Of course I will still use Zeke analytics, Google Analytics, the
Shopify analytics. I will collect information from
everywhere on the Facebook analytics, but I will just let,
I will just create different project in church GPT for all
the different things and just going to be my analyst,
copywriter, create images, everything, customer service,
everything. It is today one person can do
what 20 people could do just a year ago.
Yeah, absolutely. And just on the image images
within ChatGPT, we've used it on a few clients where we've got a
white background image or a transparent background image of
a product. You give that to ChatGPT and
just say, right, put it on a beach, put it in a park, put it
on someone's desk and put it on someone's head.
It's incredible the amount of places ChatGPT can do that.
And as you say, the projects, I feel like the projects are the
things people miss the most. They don't set up different
projects with different agents for different things, which
you're just missing a trick because you want to, you want to
have the same conversation with the same agent all the time, all
the time. Because they learn, don't they?
They start understanding what you like, what you don't like,
and you've got to feed that information back to them.
Yeah. Yeah, I also one of the things I
found very useful with JGPT is I stopped telling JGPT what to
hold to be, but I always ask what before you start, what
skills and roles you're going to use to execute this task on the
best way. And then share GPT does the does
the research what he should use, suggests me everything.
If I see something is wrong, I remove it and I move from there.
And the results improved dramatically.
And I think every person I'm telling now to every person that
listening that they should feel responsible to learn how to use
share GPT and not just share GPT other tools, OK?
Because if, if anyone that is listening now include both of
us. If we're not going to be able to
expert this tool in a year from now, we're going to be behind
many other people that know how to use all those tools to save
tons of times and be 10 times more productive.
Yeah, yeah. And I think it's the difference
between waking up 1 morning and going, my competitors website
looks amazing and all that photography looks incredible.
And they seem to change it every week.
You know, it's like if it starts raining, they put more raining
pictures on their products. And I mean, we've got the
ability to have that sort of real time update now.
So I, I feel like there's no excuse.
And we're, we're using sheet GBT, we're using that Chrome AI
plug in that I'm using, we're using ChatGPT.
And the thing we're not using it for as well just to flag as an
SEO guy, not using it to write content yet It comes up with
ideas, it writes some content, but the amount of weird things
it does and one of my team flags something earlier today that I
had never heard of, but I googled it and it is a thing AI
tools when they put a dash somewhere, they put a longer
dash than the dash on the UK or US keyboard on a laptop.
So if you see a long dash somewhere, someone's copied and
pasted that off off AI. And what we've, what we've done
as well is we've, we've started searching on both our clients
and other clients websites earlier to literally just today
and same day we're recording this and we found loads of them
on people's blog posts and all sorts, which you can take, take
or leave this guys, This is a slightly controversial comment,
but one, one person I did talk to earlier, I mentioned this to
you. He said, any site I find the
long dash on, I'm going to report their content to Google
as AI content to say it's not unique, it's not been written by
a human, it's not not authentic. I'm going to go and flag them
all. I'll leave that with you guys.
You can decide if you want to do that or not.
But I did think it's smart. You know, there's been changes
to cookie banners and stuff recently where I am.
Again, I won't go into the details because I'm not a legal
representative, but if you believe you are following all of
the rules and something and other people aren't, there is an
opportunity to report them. And if they get taken down,
you're the only one left. So we talk about those people
that have sold out and you're the only one with the product.
Same basis, but business wide. If people get in trouble with
with the regulators, I don't want to create like a really
hostile environment for everybody and you know, kind of
go back to the Wild West Cowboys.
But I do think it's important. And but I've I've got one final
question for you today. And I know it's a big question
and we could probably do a whole nother episode on this.
But if, if you were, if someone's sitting there right
now going, I don't have a store, but I'm going to start drop
shipping, going to run Shopify on eBay or I've got a store and
I'm doing a bit of drop shipping.
I'm not doing any, but I'm going to do more.
I'm going to fresh start drop shipping and look at it fresh.
How would you advise those guys start drop shipping today to do
it productively? You know what's your kind of 123
to make it work as best as possible.
I would say start with taking like 20 hours, like literally 20
hours or couple of days of the week and and do a proper
research. Put everything aside.
Come without any you know opinion or or expectation or
ideas in your mind. Come completely clean and just
start doing research and crossing data from different
platform crossing. Take let's say new product
research on ZIC, compare it with Google searches, compare it with
different sources of traffic, surge on Facebook, surge on
TikTok and come up with list of minimum 5 products after these
20 hours of research with a checklist of for each product.
And then after you do the proper research, decide which product
you want to go on full in. OK, full in and then put
yourself minimum six months, I would say even 12 months, but
minimum six months and do everything you can for this time
to make this product successful. Now of course, if you have more
time and if you are like more more advanced, you can also test
20 products, 100 products. From my experience, sometimes
you need to test 10 products until you find your winner.
But you need to do the proper research.
Don't start from gut feeling like you said in the beginning
don't say I think red going to sell well.
So bring the red. This will save you so much
frustration, so much money and so much pain if you do a proper
research. So start with the research,
create a list of minimum 5 products and then focus on those
five products for the first six months.
And of course add more products on the go until you find your
winner. And then the next step, build a
brand. Of course drop shipping is cool
and everything, but also the good drop shippers, they start
drop shipping, they turn into brand branded drop shipping and
eventually making a brand. So that's what I can say.
Amazing. I think it's really good advice.
And I think investing, I love the fact you've given like how
much time people should invest, how many products they want to
start with. I completely agree.
And I think whether it's, as I say, whether you're already a
merchant making your own products and it's like, well,
let's start drop shipping a few bits and pieces.
You know, you might be a coffee roaster, but you could drop ship
loads of like, you know, thermal coffee cups and T-shirts and
lots of other stuff of which we do have a coffee company coming
on and I will be wearing their T-shirt because they're sending
me AT shirt. So keep an eye out for that
guys. But I love your advice, Neha,
and I really appreciate your time.
If you guys haven't already checked it out while you've been
listening, ZIK Analytics, Zik Analytics, we will put a link to
it in the description as well. If you want to go and click
that, go and check it out. Do you guys as well, I'm not
aware of this or not, but I'm going to ask you live while
we're recording, do you guys have a free trial?
Is there a way to test it? Is there a demo they can go on?
Yeah, there is a $1.00 trial for seven days, so you can go try it
out, play with it. Check out the YouTube channel as
well. There is great training.
We just released a series of training videos on each tool,
including strategies and stuff, so it's really helpful.
So just, you know, try it out. Cool.
And if you can't afford a dollar to give it a test, you're in the
wrong industry. You're getting a lot more than
$1.00 to to get this thing running.
So Nahar, I really appreciate your time.
Thank you so much for joining us.
I appreciate everything you shared with us today.
Thank you, Nick. Have a nice day.
Thank you.