Demo Mondays #38 – DataHawk – Amazon analytics

By | August 29, 2019

Welcome back to another session of DemoMondays. DemoMondays is video series published on Mondays,
where I invite creators and founders of different Amazon seller softwares, and I ask them to
present their products just like this on the screen. And today my guest is DataHawk. DataHawk is presented by the co-founder Othmane. Hello Othmane. Hi Augustas, thanks for having me. Nice to meet you here. So please tell us what DataHawk is, and what
problems do you solve for Amazon sellers? Yes absolutely. So DataHawk is an Amazon analytics tool for
Amazon sellers, vendors, brands and consultants. And what we do is that we help them solve
3 main problems. The first one is helping them with product
sourcing, so helping them figure out what product to sell. The second one is helping them understand
the market in which they are selling. So understanding their competition, going
really deep there, understanding how they should be pricing their products and so on. And the third component that’s most important
to us, and that’s been our focus so far, is helping them with tracking the performance
of their products. So that encompasses things such as tracking
the best sellers rank, the keyword rankings and other metrics for their products and for
the competition as well. No, that’s great. And you mentioned that you are targeting also
consultants, agencies and vendors. So can you talk more about target users of
your software? Yes absolutely. So I think the spectrum is very broad. We have customers that aren’t selling yet,
that are contemplating starting setting on Amazon through Fba, and as you know, there
are more than 2 million sellers, so it’s really a very big market. And then on the other very end of the spectrum,
we have some of our customers, our top 50 global Amazon sellers that are making net
worth of 50 million in revenues a year. So I think it’s a really broad customer base. On the consultancy side, we have some agencies
for instance, that work for a global brands and those are people who manage different
accounts, and they use our tool. We also have a private equity firms. So it’s really a broad spectrum of customers. And basically also private label sellers as
well as online arbitrage sellers can use it, right? Yes. It’s both, it’s sellers and people who have
their own brand registered in the brand registry program and so on. And it’s vendors as well. So no limits for who can be using the tool. And very important information for international
sellers. What marketplaces are you covering at the
moment? Yes great question. So we cover all Amazon marketplaces worldwide,
except for China and Japan, which means that we are in the US, Mexico and Brazil, in all
European markets, in India and in Australia. Quite keeping up with the Amazon marketplaces
everywhere, and I think we’re ready to check your tool from inside. How does it look and how does it work? So let’s do it. Alright, with regards to how the tool works,
one of the key things that we tried to do is making it easy for our users to organize
the way they work, and we do that through one feature that we call projects, and here
as you can see, as I login in my account, I can find the list of projects that I have
created. And so project is basically a way for you
to organize the way you work in DataHawk. It can be a specific brand, for instance,
that you’re selling, it can be a product category, and each project is tied to our market place. So for instance, here Kanzek is a brand that’s
focused around leather goods and you can see that I’ve created here a project around that’s
focused on the United States. So let me dive into the first feature that
I told you about, which is our product tracker, so now I’m looking at the dashboard of this
project that I’ve just shown you, and here what you can see is a list of the major product
metric changes that have occurred in the past 24 hours, and in the past 7 days. So for instance amongst the products that
I’m tracking, you can see that this one has had a huge raise in it’s best sellers ranking,
it went from a 187k to 30 in one day. You can see changes in price and in reviews
and so on. And if you wish, you can go into more details
and compare the major changes that have occurred in two specific dates. So moving onto actually the core of how this
works. It works in two main ways. So first you need to track products that you
are interested in tracking, obviously. So as I move on to this page here called products
that you see, you can see a list of all the products that I’m tracking. So here, there are around 226 products that
I’m tracking in this project. You can actually filter through them by price,
rating, number of reviews, or even by entering the name, I mean a keyword in the title or
the seller name or any other. We also give some high level information here,
such as the number of sellers that are competing in the buy box for each product. It’s price, rating, number of reviews, current
BSR, it’s estimated sales figures in dollar terms and in term of units. It’s related fees as well, and the margin
you can expect from each product. Other high level information you see here
is who’s winning the buy box. You can see that this is an Fba product, so
it’s prime. This is the way it’s presented. Now let’s say that for instance, you’re interested
in diving into more details in these products from the brand called Polare. So it’s a full grain leather messenger bag,
once you click there, what you can see is a nice interface in which we present the history
in product metrics related to this product. So you can see changes in it’s number of reviews
over time, as you can see it has been increasing by 4% since last week. We can see the change in it’s rating, bestseller
rank, buy box price, what we call, buy box available quantity, which is basically the
quantity you can pick when you want to buy a product. And arranged regarding the estimated monthly
sales velocity for each product. Now if you want to dive into more details,
you can move onto the second tab here called BSR tracker. And here you can see in more details how the
BSR has been changing, and actually it’s not showing up in this product specifically, but
we can track up to 4 BSR categories here. So it gets interesting if you want to see
how you’re doing. For instance, in the briefcase category as
compared to the global apparel and clothing category. Moving onto the third tab called keyword tracker
here. Basically what you can see is the changes
in the keyword rankings related to this product. And the way we do that, and this is super
important to emphasize on DataHawk, you don’t need to tie a specific product to specific
keywords. We do that manually. What I mean by that is that the keywords that
are showing up here, for instance, 66, you see 66 indexing keywords. So those are all the keywords that have tracked
within my project. And which our tool has automatically found
to be ranking for this product, so what you can see here is a clear history of how it’s
been doing over time. So you can see that for 17 inch leather briefcase,
for instance, as of the 25th of September, it’s ranked in page one, position one, you
can see the monthly search volume related to each keyword. You can see the 7 days average, 7 days change
and so on, with some awesome color signals here that you can see, which helps you figure
out overall trends. So the greener, the better. Green means page 1, red means page 9. And what’s interesting actually for every
seller I assume, is when you go to those metrics and you can see that all of a sudden you went
from page 6 position 235, to page 1 position 16 for this keyword. And what this can help our sellers, is tell
them that probably they’ve had a sell that came from this keyword. Or probably they’ve done a change in the backend
interface in the keywords that they’re using, which made them rank better for this product. And here you can get on my chart as well that
helps you show the rankings that you have here on the table, but show them as a chart
so as you can see, I can pick the ones that I’m most interested in seeing, and it’s pretty
cool because it helps with getting overall trends. Now the fourth thing that we give with regards
to product, is a Keyword Generator. And our Keyword Generator is a tool that looks,
that runs a semantic analysis on the description of the product. It’s title, bullet points and other competing
products, and figures out a list of related keywords that you could use either to improve
your SEO performance for that product or to use for your PPC campaigns, and so on. So this one for instance, and as a reminder,
it’s a full grain leather messenger bag. So our engine figured out that a related keyword
could be cross body leather bags for women. For instance, our leather bag, leather bags
are leather bag Satchel and so on, so you can see what it’s related to. You can see the best department that it’s
related to. So for instance, for this one we suggested
home and kitchen. So you know that it’s not relevant one, for
this one, you can see it’s related to handbags, it’s a better suggestion. You can also filter by search volume, and
by estimated CPC. Now should you be more interested in digging
deeper into any keyword of those. You could track it and I’ll show you later
on what kind of information you can get when you’re tracking keyword. Now moving onto the fifth tab called onpage
Seo. What this is, it is a tool that looks at the
product description and analyzes it. So which you can see here is a cloud of the
most used words in this product description. So for instance, leather has been used 6 times
in it’s description. We can see the number of characters in its
title, the number of words and so on. You can see also something super interesting
here, is change history. So for instance, this is the title that the
product has as of the 25th of September. Now if the seller were to change the product
title at some point in time, we would track this here and show you the change that occurred,
and we do the same for the description. And here it is super helpful here. For instance, as you can see on the ninth
of August, there’s been some changes here and we show you in green and red what’s been
missed what’s been added and so on. So that can be super helpful. And this information can be tracked for any
kind of ASIN and also competitor ASIN ? Absolutely. So this is really open, so far as I’ve shown
you, we don’t connect to the seller account at all. This is all done by our technology without
connecting to the seller account. So you can do this for your computers. Absolutely. And I think this is where our tool comes most
handy. It’s basically helping you with not only tracking
your own products performance, but helping you benchmarking your performance against
that of your competitors. And now the very last tab here called actions
log is one that’s super interesting for other data driven people that want to attract, let’s
say, what is the effect of their daily actions have on the performance that they have. So for instance, Augustus assume that you
are selling this product, and that you run an advertisement campaign on Facebook for
instance. Now what most people do is that they just
forget about this and don’t draw correlations between what they do outside of Amazon, and
the impact this has been on Amazon. So by using our actions log, you can add entries
where you can tell that for instance, you’ve run an advertising and marketing action on
Facebook for instance, and you start a date on the 18th of September, maybe and finish
date on the 25th, right? So you can add any details you want about
it. You can add the goals that you have on mind,
you can add the learnings that you’ve had extracted afterwards and so on. And hit save. And once you do that, it’s going to appear
here. So when you figure out, for instance, a huge
change in your BSR, any of other performance that you have, you can go back to your actions
log and try to figure out what it is that you’ve done that helps you reach this new
performance. Now the other thing that’s interesting is
that, we value the importance of data ownership. So which is why the, the other interesting
thing that we decided to do is allow our users to export their data to Excel and play around
with it. Because for instance, you want to draw correlations
between the sales you’re doing, and the impact they’re having on your SEO performance or
your BSR, and so on. So you can export your product data to Excel
as you can see, and get a very nice report on Excel where you can see here it’s a printable,
printer ready report that you can see with an overall view of the rankings that you’ve
had. So for instance, for one product that I’m
showing you here, at some specific point in time, it had 66 keywords for which it has
ranked, but now it’s only ranking for 21 keywords so you can know that there’s something that
maybe has occurred in between and that prompted this change. You can get a high level view of other keywords,
performance and so on, the top 10 keywords, for instance. Here, you can go into much more details in
the second tab called keyword ranking. So you get basically what you get in the APP
here in the keyword tracker tab, but in much more detail. So for instance, let’s take this keyword,
15 inch leather briefcase, and I’m going to highlight it in yellow so you can know that
currently the product that I’m showing you here, isn’t ranking for this keyword, but
interestingly it’s been ranking for it on the 29th of June actually. And the rank it had at the time was 64. And that’s the best ranking actually it had
for it. So what this helps you to do is go to the
29th of June and try to understand what it is that you were doing back then that made
it possible for you to rank for these keywords. So that could be, for instance, running PPC
campaigns focused on this keyword or maybe having a lower sale point or maybe a higher
sales velocity and so on. And this is the kind of really super helpful
data that we’re trying to give to our users. And you can also track other changes here
such as changing its price rating, answered questions, estimated monthly sales who was
holding the buy box and so on. Is there any question you have on this so
far? Yes. On the BSR tracker, I see it was an information
about the last 30 days, is it possible to change to any period? So here on the APP we showed the 7 days average,
and of course on top of that you can see it on a daily basis. And naturally when you export that to Excel,
you can pick whichever date you want. So because here you have for each date, you
have the corresponding VSR that you see here, and you can see the categories related to
it. So if you want, you can pick whichever average
that you want. Now moving onto the second component that’s
super important in our tracker tool, the keywords component, as you recall, I’ve shown you how
this product is ranking for a certain number of keywords. But what I haven’t shown you is what our tool
looks like on the keyword side, right? So moving onto the keywords side. What you can see here is a list of all the
keywords that I’m tracking within this project. So stuff such as leather strap replacement,
small leather briefcase, modern briefcase and so on. As you recall, this is a project that I made,
around the specific brand that selling leather goods. So what I decided to do, is organize everything
in such a way, that this is about leather goods. Another way you could have done it, is create
a project maybe for leather portfolios, another one for leather messenger bags and so on. And be really more precise about this. So in any case, this is the list of keywords
that I’m tracking within my project. So 194, you can get some high level information
about the number of products that are ranking for each keyword. And what I mean by number of products that
are ranking for which keyword, I mean the ones that appear on the browsable search results
on Amazon. So if you were to type small leather briefcase
on Amazon, there’s going to be a specific number of pages that you can browse through. Usually it’s between 7 to 20, but 20 is usually
the maximum. And on average is going to be around 20 products
per page depending on the layout that you get. And so here we show you the number of products
that are ranking in those browsable search pages. And you can see the median price related to
each keyword, or I mean by that is on average, if you look at all the products that are ranking
for each keyword, what’s their median price, and this is an answer that we can give and
we give it in much more details, I’ll show you how We also give median rating here, the median
number of reviews and the search volume related to each keyword. Now the search volume is a data that we fetch
from Google and we think it’s a very good proxy in telling you what that would look
like on Amazon. One metric I didn’t talk about that we have
in the product side, but as well as on the keywords side is the score that you see here. And this score is basically an attempt from
us to try to go to which degree within a keyword to be competitive or a product to be competitive. So for instance, we deemed the small letter
briefcase keyword to be super competitive. Why? The reason is the number of reviews that the
products that are ranking for it have, it’s probably a super high number of reviews. So it’s going to be hard for you to penetrate
that market, and also the rating, on average those products that are ranking for it, have
really good ratings, so you need to really be killing it in terms of product quality
to rank there. So again, you can filter by price rating,
number of reviews, search volume, and so on across all the keywords that you have here. One thing that I didn’t mention is that you
can filter by tags, and tags are a cool thing that we built to allow you to go deeper in
how you organize your project, because you are able to assign labels or tags to each
of those keywords. So for instance, let’s say that I want to
show only the keywords that I’m tracking that are related to portfolios. So here they are, I’ve tagged them with the
portfolio label, I have actually even tagged some with 15 inch for instance, or with stuff
such as low volume, low competition and so on. The way you can do that is pretty simple. You Click on the dropdown manage tags and
you can pick the text that you want. So that’s super helpful. Basically, in allowing you to get better organized
using our tool. Now let’s say that you’re interested in maybe
selling a zippered leather portfolio here. This is a super interesting keyword. Super High Volume, 1000 monthly search queries. It looks like a good one, although it’s super
competitive. So as I clicked on the keyword, what you can
see here is 4 main tabs, All Products, Reverse Ranking, Market Analysis and Keyword Generator. Now on the first tab in which we’re currently
at called All Products, you can see the list of all the products that are ranking for this
keyword if you were to type zippered leather portfolio on Amazon at the time at which we
fetch this information. So typically here, there are 272 products
that are ranking for this keyword. You can see what those products are. Here you can see their ranks, so the little
figure is the page, the larger one is the overall position. So this one is ranked page 1 position 1, page
1 position 2, and so on. Again, we give information about our scoring
for the product, the number of sellers that are on the buy box, each rating, number of
reviews, price, estimated monthly sales figure and estimated potential margin. And now whenever you see a question mark here,
the reason is that the product isn’t tracked. So in order for us to unveil those metrics,
there is a need for you to track each product, right? And for instance, those ones are actually
being tracked so you can unveil the information, you see they have only one seller. So this is a private label brand for sure. You can see their estimated monthly sales
and so on. Now something that can be super helpful in
terms of helping you with understanding your market. And it’s something I was saying early on during
our call when I mentioned the kind of needs and problems that we solve. Now let’s suppose that you are launching a
leather portfolio and that you were hesitating as to what kind of pricing you want to have
and so on. Maybe you were going for a price above $100,
so what you can do if your goal is actually to rank for zippered leather portfolio, is
go here, filter the price to above $99, and what happens is that almost instantly we can
show you what are the products that are ranking for these keywords, and that corresponds to
the filtering criteria that you’ve selected here. So there are 45 results out of 270, around
17% of the product that are ranking for this keyword that are priced above $99. Now what’s interesting is how they’re distributed
across different pages and as you scroll down, you can see the detail ranking that each of
those ones have. Now again, you can go much deeper. Maybe you want to see only those that have
more than 30 reviews so you can filter by that as well. It shows you that only 1% of the products
that are ranking for this keyword are priced above 99 and have more than 31 reviews. So again, that can get super interesting in
helping you drive in your pricing strategy or product launch strategy and so on. And Othmane, could you explain the scoring? How many levels do you have? I see there is from A to D, but A has plus,
no plus and minus. Yes, so for each letter we have 4 letters. So A through D, and for each letter you have
2 scores, you have minus and the normal letter. So A would be better than A- for instance. And A- will be better than B and so on. And for instance, if you look at this product,
if you’re curious as to why it has A, it has a super great rating. It has 4.7, while interestingly, the average
rating for the products that are ranking for this keyword is 4.37, so it’s much higher. It also has a very good review score. Of course it has a 107 reviews, so super great. The pricing though is not as good. It has a pricing score of only 51%. The reason is simply because it’s price, as
you’ve seen, is much higher than that of the competition, on average, competing product
here are priced at $53.66. I thought I saw A+ score. Yes, probably on the first page that we’ve
seen, let me reset this, so A+ would be the top level, A+ then A, then A-, then B+, B,
B- and so on, though it’s super rare to have A+ products, as you see most of those are
really on page 1 and are killing it in terms of performance, 500 reviews, 900 reviews,
as you can see, really good performance. Alright. And how do you add a keyword? Super great question, so I haven’t been tackling
that yet, but the way you add keywords or product, there are two ways of doing it. So either you go to the keyword section, for
instance, that you see here, and you click on the button on the upper right side of your
screen called add new keywords to track. And as you click on it, you can enter the
keywords that you are interested in. So leather briefcase for instance, and so
on, so one keyword per line or using commas, and then he’d save. And what happens is that after a few seconds
to a few minutes, the data related to each keyword will be fetched and you’d be able
to rush through it, so the same for products. If you go to the product section, you click
on add new products to track and then you just paste your ASINs here. Now one interesting thing that we do is, let’s
assume that you’re selling a leather bag that has three different colors, black, blue, and
Brown. Now you can either add each ASIN individually
or you can enter only one child ASIN, or maybe the parent ASIN, and tick the box here, where
you will decide to have us automatically track all associated ASINs, and then paste one of
those and hit save. And so what we would do as you do that, is
that will basically go and fetch the data related to all the child ASINs and show it
to you in the following way, so you have the parent ASIN that you can see here and you
can see a label calling it parent, and underneath you can see the child ASINs. And one super cool feature that we have is
that as you’re tracking your keyword performance, we show you actually whichever the child ASIN
which you’re looking, we’re telling you which one is actually ranking for the keyword. So for instance, here you can see that for
luxury leather messenger bag on the 21st of September, actually it wasn’t this variation
that was ranking for this keyword, but it was another variation of the same parent ASIN. And you can see it here and the difference
is told through the color signals. When the background is filled, you can know
that it’s this very same variation that’s ranking. When it’s not, you can know that it’s different
variation. And the final way of doing it, of adding a
keyword or ASIN is through the quick actions button that you can see here. So as you click on it, you can click on either
add keywords to track, add products to track and basically do the same approach, whichever
the place in which you browse in inside our app. So I’m going to go back to the example we
were looking at. I think it was zippered leather portfolio
here. So we’ve discussed the products that are ranking
for it. Now, let’s assume that you want to have a
less detailed analysis of the market, although it’s super detail and you’ll see how you can
move on to the third tab here called Market Analysis, and get the following information. So here, on a global basis, we tell you that
for instance, all the 272 products that are ranking the browsable search results for this
keyword on a median basis are priced at $31.99 On a median basis, they have 13 reviews. On an average basis, they have 68 reviews,
and we go actually much deeper because at the end of the day, what’s important to you
is ranking a page 1 , so we allow you to answer the same question on page by page level. So if you were to try to rank at page 1 , well
you know that you probably want to have around 200 reviews. Otherwise your odds of being there are super
low because on median basis, products that are ranking on page 1 for this keyword have
164 reviews. If you go to page 2, it is going to be easier,
5 reviews on average, not that hard, but page 1, super tough, and we tell you the same for
pricing. Let’s say that you wanted to price your product
at $200. Well, by looking at this, you can see that
this is our approach to cracking the A9 Amazon ranking algorithm. It’s true this kind of insights that we give
you. You know here that for instance, if you are
to price your product at $200, the odds of your ranking on page 1 are non existing, because
the top price product on page 1 is priced at $135, and on average, the price is actually
61, so you can see that it’s super complicated. And here, if you want to see this information
visually, we give you three matrixes in which you can see, for instance, here on the X axis,
the price and on the Y axis, the position for this keyword. And so as you haunting at a specific price,
so let’s say for instance, here you can see exactly which product it is, how much is the
price, the position and so on. And what’s interesting is the concentration
that you see here. So let’s say that you want to see only those
that are below position 50. Basically you would be looking below this
line, and the concentration of the products that are below this line is rather here than
here, despite a few exceptions, it’s more around here and actually the top ones are
actually here, it’s around 30, so you can know that the sweet spot here if you want
to rank at top positions is probably at this price point and now that can help you with
product sourcing strategy or positioning and so on, depending on the kind of private label
brand that you want to launch for instance, or the product that you want to be sending
there. And again we give the same information for
rating versus position, number of reviews versus positions. One question, what does Average and Median
mean? I mean for me it’s the same. So the average would be just the mean. So you would take the average price of all
the products, while the median would rather look at the distribution and how 50% of the
products are actually below the price point, and 50% are underneath it. So for instance here 31.54 is the median price. So that tells you that 50% of the products
are above 31.54, and 50% are underneath it. So it’s a better way for you to actually look
at averages because if you look at just averages, of course data can be off because if you have
a product that sending out 10 million for instance, while all the other ones are selling
below 100 when it’s going to drive your average at insane levels, while if you look at the
median, it will avoid you from getting into that analysis mistake. So do you suggest to look more at the median
block? We suggest for people to look at both for
sure, but then again, you have the global look here in which you can see the maximum
price. So you can know if there’s anything off, if
there are some sellers plane with the algorithm by pushing it through. I don’t know what kind of black hat techniques
they might be using, but yes, I think it’s definitely helpful to look at both. And actually, as you can see, we give the
minimum, the maximum, the top percentile, the lowest percentile, the median, and the
average. Yes, very interesting. Now moving on to the two other tabs that we
haven’t tapped on here. Again, we have a Keyword Generator that basically
looks at all the products that are ranking for this keyword and suggests you a list of
other keywords that you may be interested in that are related to it. So for instance, zippered leather portfolio
for man, zippered leather portfolio organizer, zipper leather padfolio, zippered leather
binder and so on. So as you can see, it can be really super
detailed, and the list is really super large. So it’s around 200, up to 250 keywords I think. And again, you can track the ones you are
interested in. You can also add new keywords from here, if
you’ve had an idea, for instance, then you just enter it here and hit save. You can also compose your own keywords based
on a few words that we show you here. So for instance, maybe slim, Ipad/tablet,
portfolio, and then click on track it and we’ll start tracking it. And finally the other tab here called Reverse
Ranking, basically it just shows you the products that you are tracking within your project,
and how they’re ranked for this keyword in a very summarized way, so that can be super
helpful to you as well if you’re curious as to how they are doing. So for instance, for this one you can see
how it’s been doing and you can decide on, you can look at that for any products that
you’re currently tracking Any questions? Yes. In the last graph views, it revealed that
there was a gap. Why is that? Yes, great question. That happens very often. So essentially what it means is that the product
has fallen out of the rankings. So it was ranked at position 17 here, then
position 14. So essentially a lot of possibilities there,
either for instance the product went out of inventory, and so if it went out of stock,
it wouldn’t be showing in the search results, or for instance, it’s been closed by Amazon
temporarily, so anything related to that basically has had a sudden maybe raise in the ranks,
and then it fell out of ranks or maybe the seller has stopped using a keyword that really
helped with driving the ranking stairs, so he took it off from the title or from the
description and so on, so it really depends, but usually it’s related to the inventory. And this graph was dropping. There was an animation, is it just an animation
or it is also showing us some information? No, it’s an animation, it is basically as
you click on the dropdown, it loads up. Okay. Alright. I think with that we’ve covered all the aspects
related to our tracker. And again, there are a lot of information
here that you can export to Excel. I’ve shown you only one, but here a second
one for instance, would be this, this is for instance, the export of keywords of the results
related to a keyword, leather strap. You can see all the products that I’ve shown
you in the product step here. So we have lots of exports. We also allow our larger sellers to use our
API, so some of them are very sophisticated and want to use more advanced tools to fetch
the data from us. So we have an API that basically allows them
to do this as well. And how do you export? So you have three or four different types
of exports, the first one is the product export. So when you’re looking at a product, you can
click on here, the bottom here, export product data, and you will get one of the exports
that I’ve shown you, which is this one. That’s super detailed around the product. The second export that you have is the project
export. Now with the project exports, you basically
export all the data related to all the keywords and all the products that are in your project
within a single CSV file, so you can do it from the quick actions menu that you see here
by clicking on export project data, and the other export that you have is on the keywords. So for instance, let’s say that you’re looking
at the leather strap keyword here on the results that you get from the products that are ranking
for it. You can click on this little text here, export
list and you’ll get the list of all those keywords. So different ways of doing it. If you want your whole account export, we
do have that as well. If you have one, just a project export, we
have it as well if you want the keyword or the product. Perfect, thank you. So I think that we’ve covered the tracker
aspect of our software, now the last two components are focused towards new sellers and upcoming
sellers that are in the product sourcing phase. And we helped them through two ways. So the first one is a little tool called the
Product Research tool here that you can see, which allows them to browse through our database
of currently around 3.5 million products and is growing a lot daily, and we do that in
a very simplistic way as I’ll show you. So here you can pick across different Amazon
browse nodes or categories. So for instance, let’s say that you want to
launch, maybe something in the clothing category, priced at between $29 and $34, and maybe you
want to see only the products that are in the clothing shoes and jewelry category of
price between $29 and $34, but that had between 100 and 150 reviews. And maybe a rating above 4.5. So it tells you that there are online products
that correspond to this very precise criteria that you’ve seen here in our database. And once you haunting to those criteria, you
can launch this search and after a few seconds you basically get the results that are corresponding
to your criteria. So here, for instance, you can see a toiletry
bag for men and women handwritten 35 reviews, 4.7 rating, $32, and if you want to unveil
more data related to it, you can click on track it here and once you click on track
it, it is going to show up on a dedicated project that you can create usually the default
name that we suggest for product research, and basically what you can do afterwards is
what I’ve shown you earlier, so go much deeper and dig deeper in terms of extracting information
that you have around the product. Now, the other way that we helped with the
product sourcing is a very cool feature that we have called the BSR browser. And our BSR browser tool allows you to browse
through up to three browser notes, up to three detailed Amazon categories, to show the top
100 products on each of those. So for instance, let’s say that you’re interested
in the Clothing, Shoes and Jewelry category, we’ll go there. Then you can see all the sub departments are
sub categories that are related to it. So Baby, Boys, Costumes and Accessories, Girls,
Luggage, Travel Gear, Men, Women, and so on. So it’s loading, and so what you see here
is the list of all the top 100 or so products that are in the Clothing, Shoes and Jewelry
category. So this one, it’s recalled repel windproof
travel umbrella. You can see the number of reviews it has,
it’s price, and rating and so on. And again, if you want to track this in more
details, you can click on the tracking button here, you can see there are some products
from Hanes brand here, from Wrangler and so on. And why does this table doesn’t have a score
information? Because none of those products are currently
being tracked. As you can see, you don’t have information
around sellers and our sales as well. The reason is that we can’t go and fetch the
information for the entire database because that’s just massive volumes, so we do it on
demand. And the way we do it is true that tracking
component of our tool, which is basically saying using credits towards invading this
sort of data that we actually track on a daily basis. So if you were to track this, you’d get the
information and you’d get the monitoring on a daily basis. And now again, you can go to a subcategory,
for instance, we went to the shoe jewelry and watch accessories. As you can see we’re in up to three notes
now, and you can see the products that are ranking for it. Alright. So I think with that I have covered all the
current existing features of DataHawk, as of September 2018, so there are a lot of other
exciting stuff that we’re working on, happy to tell you a bit more about that. Before we go into the future features, shall
we cover the pricing of your software? Yes, sure, absolutely. So our pricing for functions as follows, we
have a freemium approach. So it’s a bit more basic, but it’s really
helpful to small sellers that are just starting out there and want to have some basic information,
so it allows them to track up to five keywords up to three ASINs, and get an insight into
some of the other features that I’ve shown you with a much more limited way. And then the rest of our pricing starts at
$19 per month, paid monthly, up to $99 per month paid monthly. And basically the differences between all
those pricing tears is the number of keywords that you can track, the number of products
that you can track. And some of the other features that I’ve shown
you around Market Analysis, for instance, invading keyword search volume data and so
on. Thank you very much. I like that you don’t need to connect your
Amazon seller information, so it’s not not implemented at the moment. And do have any plans to integrate, seller
central? Yes. So absolutely we do because one of the things
that many of our customers have been asking to, is allowing them to track their real sales
data and so on, so it’s something that we’re working on. We’ll be launching it within the next 30 days,
most probably. And I think it’s super interesting because
when you’re able to draw correlations between your SEO performance, and your real sales
and traffic data, it is at that very specific point that you really truly leverage the power
of data and insights that we give. And what other features are you planning to
release to your customers? We’re working on other stuff such as allowing
them to track, for instance, which computers are competing on the buy box against them. I think this is helpful to sellers, more than
private label brands that are brand registered. We’re also working on improving our reporting
capabilities, and adding an alerting system, so allowing you to track, for instance, when
you get a negative review when you have a sudden change or spike in terms of your BSR
and so on. And also one of the things that we’re very
excited about is a long chain more AI oriented capabilities that basically would allow you
to get some really practical and recommendations around what you should do. So for instance, telling you, hey you should
price your product at this price range and you should push your sales to assess velocity
of 10 daily sales and so on, if you want to hit page position 1 for this keyword and so
on. That sounds like a virtual assistant. Exactly. Alright. And how do we contact support of DataHawk? Yes. So that’s super simple. We have a chat app that you can see when you’re
browsing through our website or you’re in the APP, and I think it’s really the best
way of contacting us. We’re super reactive there, so it’s in the
bottom right side of the screen, by clicking on it not only you can get access to our knowledge
base with articles that can help you, answer your questions, but you can also just send
us whichever query that you have and we’d be very prompt to reply. The other way of doing it is naturally through
sending us an email, and that’s true that to open a support ticket there are links on
our website and in the APP as well in which you can click on contact us and fill a form. And final question, do you have any offer
for DEMOMONDAYS viewers? Yes, absolutely we do. So we’re excited to give 25% discount to all
DEMOMONDAYS viewers that are eligible for up to 4 months. Just as they sign in, they should make sure
that they ping us on the chat app again by telling us DEMOMONDAYS or that they are from
DEMOMONDAYS, and we’d be happy to apply the discount. Perfect Othmane, thank you very much and good
luck in your business. Bye Bye. Thank you Augustas.

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