Analyze Live Amazon Data with the MerchantWords Keyword History Analysis Panel


Hey there, you MerchantWordians,
how are you today? MerchantWordians is yeah, let’s try to make that a thing, okay? No, just kidding, okay. Anyways, let’s move on here. So in this video, I’m
going to talk to you guys about our brand new keyword
history analysis panel. You ask what that is? Well go ahead and type
in your main search term into the search bar. And then you can follow along
here and I will show you. So here we are at the classic view, but you will see this
bar graph icon right here next to all of these
relevant keywords here. Go go ahead and click on it, to whatever keyword you’d like to search. In this case I chose apple
slicer, it is the main keyword. And you get back all of
this super awesome data. So that is this data? Okay, so the blue line
is the search volume, how it’s faring over the last 13 months. And then the green line is the trend, is it trending up or trending down? It’s looking like apple slicer is on a up-trend since the last 13 months. Over here we have the
estimated search volume. And then we have, you can toggle between
three months and 12 months. So over the last 12 months, we see a change of about 5%. So from about here to here,
we have about a 5% change. So that’s on the up-and-up, which is good. And you can also check
over the last three months which is a 22% change,
which is really good. So you could see that right about here. Now we have, moving over to depth here, we can see the depth for this keyword. And depth is basically the number of letters or characters you type into the Amazon search bar before the keyword populates, or shows up in the Amazon
autocomplete, excuse me, as a suggestion from Amazon to the buyer. So in this case the depth is six, so you would type in one,
two, three, four, five, six. Once the buyer gets to apple and then s, apple slicer will be the first one at the top of that
auto-suggestion from Amazon. Moving down here, products on page one, pretty self explanatory how
many products are showing up on page one from this keyword. In this case it’s 48. You can go ahead and click on that to see the products if you like. And now we have the highest price on the page one search
results, the lowest price, and the average price. This is good, say you were
doing some product research and you wanted to see maybe if you can make some money on this. What is the average price
for selling this product? So about $13, so doesn’t look too great. Looks like the race to the bottom on price has already happened. With Amazon fees, your cost of goods, pay-per-click, you might
be making any profit here. Another way to use this
is say you are selling and you wanna do some price testing. Maybe do some price testing
around the average price for the page one of search results. So I would test maybe a price between $10 and say 15, $16, to see what the best price
is for my actual product, for my apple slicer, if I
was selling an apple slicer. Now matching products is
how many products show up from this keyword when
you type it into Amazon. In this case it’s 1000. Moving down to star rating,
the average star rating on the page one search
results is 4.3 stars. You can use this kinda say, to see if maybe there is
an average star rating of about three, three and a half, you definitely would wanna look into that niche a little bit more to see if you can improve
upon any of those products in the niche because they’re
getting a lot of bad reviews. So look into those bad reviews, see what they’re complaining about, talk to your manufacturer,
fix those problems. And then re-release it on Amazon. Or just release it on Amazon, and then speak to those
points that you fixed. Now in this case, it’s 4.3 stars, looks like they’re doing a pretty good job because it’s above four stars, but I’m sure there is some
negative reviews here. So go ahead, check it out,
if you like to really, if you really wanna sell apple slicers, which I don’t recommend. But you can still look into
some negative reviews here. But it’s above a four,
so that’s pretty good. Now page one reviews, this
is the number of reviews that are on the page one
of search results in total. So over 20,000 reviews, that’s a lot. You can gauge this for competition. Moving on down, page one
average number of reviews. So this is the average amount
of reviews on page one, 434. And now these are the real
kind of at-a-glance metrics I like to look at to gauge
the competition immediately. So this is showing you how
many listings on the page one of search results for apple slicer show up that have under 100 reviews. This is really, really
good because you can know if there’s not a lot of competition. 24 listings that are under 100
reviews, that’s really good. But you have to also look at
how many reviews are over 1000. So this is page one, this
is the number of listings that have over 1000
reviews on the page one of search for apple slicer. So in this case, it’s five listings. Immediately that is way too many listings to have over 1000 reviews. I’m usually looking for zero here if I do want to source a product. So in this case I would X this out, cross this off my list as
to being product to source. So yeah, absolutely
not there in that case. So moving down here to our related words. We are the only ones who have
these type of keywords here, this type of keyword data. This is very useful to describe your, say you were selling an apple slicer, these are other keywords that you can use that are ways to describe your product. Synonyms, you can put
these into a separate, or an ad campaign of its own,
and give it its own budget. Again look at some of the
keywords here, use your brain. Obviously, red french fry
cutter is not relevant. Some things will pop up
that don’t make sense, so mainly use the ones that make sense, put ’em into its own ad campaign. Maybe add these into
your listing somewhere. And you could gain a leg up
on the competition this way. If there’s anything that you
have questions on about this, I know this is a new
awesome product of ours, so we want you to be able
to use it the right way for your business, for
your Amazon business. So please feel free to
reach out to us at any time at [email protected],
so we can go ahead and answer any questions you may have on this or anything else. And thank you guys for
watching this video. Be awesome, and have an
awesome day, thanks guys.

Comments 7

  • It's it going to cost extra to use this feature? I try to check on the web page but I don't see the graph icon. Thanks

  • Is this new feature specific to Amazon KDP?

  • Great addition to the tool, when does it go live?

  • Hello, it doesn't appear on my merchanword, do I need to do some actualization?

  • Just the support said the $9/mo discounted offer is NOT a Pro plan which has the additional features. It's sort of unethical since I have been paying for a subscription without knowing that my plan doesn't have all the features just because I was given a discount by MW. Basically $9 is a basic plan that doesn't have all the features that PRO has. However the website always said there is only PRO and Global Plans and the discount was APPLIED to PRO plan which ethically means the Pro plan should REMAIN same with all the features.

  • I like the new update, but it is overpriced. The basic MW Keyword discounted plan of $9/mo combined with Viral Launch's Market Intelligence of $14/mo = $23/mo. Market Intelligence gives much more information then this new feature you added, but you are asking $30/mo for this new update. I would drop VL and sacrifice some information loss, and jump on this new plan if it was competitively priced, but you are asking too much money for a $15/mo product. Wouldn't you rather have 10,000 customers paying $15.99/mo that feel they are getting their money's worth, vs 1000 semi happy customers paying $30/mo? This way you have 9000 more happy customers to upsell on your other services you offer. Oh, and not to mention your monthly sales at the lower price would be almost $130,000/mo more.

  • It seems like all of your videos rely on having a Pro account. Do you have any videos tailored to discount subscription users?

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