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These are the user uploaded subtitles that are being translated: 1 1 00:00:00,280 --> 00:00:02,189 All right so we're gonna talk about the product discovery 2 2 00:00:02,190 --> 00:00:03,749 tool now which is my favorite thing 3 3 00:00:03,750 --> 00:00:05,870 to use when I'm doing product research. 4 4 00:00:06,030 --> 00:00:07,529 Just because you're able 5 5 00:00:07,530 --> 00:00:09,419 to filter so 6 6 00:00:09,420 --> 00:00:11,039 many different things 7 7 00:00:11,040 --> 00:00:12,609 and and really get 8 8 00:00:12,610 --> 00:00:14,060 and dig in to 9 9 00:00:14,160 --> 00:00:15,719 get all the different maybe if 10 10 00:00:15,720 --> 00:00:17,129 you check out their YouTube channel they've got like 11 11 00:00:17,130 --> 00:00:18,299 eight different ways you could use 12 12 00:00:18,300 --> 00:00:19,929 and I'm sure they're going to keep doing 13 13 00:00:19,930 --> 00:00:21,569 that because there's just so many different 14 14 00:00:21,570 --> 00:00:22,633 ways to differentiate... 15 15 00:00:22,830 --> 00:00:24,419 Just like you should wanna to tell 16 16 00:00:24,420 --> 00:00:26,069 us about like what 17 17 00:00:26,070 --> 00:00:28,160 makes it I guess different 18 18 00:00:28,410 --> 00:00:30,169 from the from the other tools 19 19 00:00:30,170 --> 00:00:31,709 and ah the like 20 20 00:00:31,710 --> 00:00:33,269 what what kind of I mean you 21 21 00:00:33,270 --> 00:00:34,799 don't want to have to give away all the algorithms 22 22 00:00:34,800 --> 00:00:36,650 and stuff but like I've noticed it's 23 23 00:00:36,840 --> 00:00:37,940 different because 24 24 00:00:38,340 --> 00:00:40,049 I was pissed actually because 25 25 00:00:40,050 --> 00:00:42,200 I put in parameters that found a great product 26 26 00:00:42,300 --> 00:00:43,826 and then I was like I went upstairs I ate 27 27 00:00:43,880 --> 00:00:44,789 some food and I came back 28 28 00:00:44,790 --> 00:00:45,839 and I went to go do it again 29 29 00:00:45,840 --> 00:00:46,730 and it wasn't there. 30 30 00:00:46,920 --> 00:00:48,419 So like you guys refresh your data 31 31 00:00:48,420 --> 00:00:49,799 relatively often 32 32 00:00:49,800 --> 00:00:51,449 and like so that 33 33 00:00:51,450 --> 00:00:52,979 that's nice cause I know a jungle scout. 34 34 00:00:52,980 --> 00:00:54,689 Like when I first started way back 35 35 00:00:54,690 --> 00:00:56,180 a while ago they would 36 36 00:00:56,440 --> 00:00:58,379 ahI said like do these inflatable 37 37 00:00:58,380 --> 00:00:59,270 chairs. 38 38 00:00:59,700 --> 00:01:01,389 Or whatever those are called everybody 39 39 00:01:01,390 --> 00:01:02,309 use them and music festivals 40 40 00:01:02,310 --> 00:01:02,969 and stuff. Yeah. 41 41 00:01:02,970 --> 00:01:04,529 And then by the time like two months later there 42 42 00:01:04,530 --> 00:01:05,520 was hundreds of them uhm 43 43 00:01:06,150 --> 00:01:07,529 and there were some other products like that 44 44 00:01:07,530 --> 00:01:09,119 and so it would always spit out the same data. 45 45 00:01:09,120 --> 00:01:10,649 So like is there something going on that's 46 46 00:01:10,650 --> 00:01:12,029 like refreshing 47 47 00:01:12,030 --> 00:01:13,979 and like you're not like taking data from 48 48 00:01:13,980 --> 00:01:15,509 people whereas like like 49 49 00:01:15,510 --> 00:01:16,280 other. 50 50 00:01:16,560 --> 00:01:17,939 Competitors might be like. 51 51 00:01:17,940 --> 00:01:18,659 How does that work. 52 52 00:01:18,660 --> 00:01:20,159 Yeah I mean there's so many different 53 53 00:01:20,160 --> 00:01:22,070 elements that are different 54 54 00:01:22,230 --> 00:01:23,789 everywhere from yeah we're 55 55 00:01:23,790 --> 00:01:25,559 consistently updating our data 56 56 00:01:25,560 --> 00:01:27,260 and adding new products 57 57 00:01:27,450 --> 00:01:29,039 uhh or like new data 58 58 00:01:29,040 --> 00:01:30,539 to our system so 59 59 00:01:30,540 --> 00:01:32,219 we have a ton of systems in place 60 60 00:01:32,220 --> 00:01:34,049 that are going in constantly gathering 61 61 00:01:34,050 --> 00:01:35,639 new data to put it into our product 62 62 00:01:35,640 --> 00:01:36,710 discovery tool. So 63 63 00:01:37,230 --> 00:01:38,789 uhh if there's a new trend a new 64 64 00:01:38,790 --> 00:01:39,730 product out there ah 65 65 00:01:40,290 --> 00:01:42,089 new brands that are continually 66 66 00:01:42,090 --> 00:01:43,019 doing well 67 67 00:01:43,020 --> 00:01:44,639 or what new categories added 68 68 00:01:44,640 --> 00:01:46,289 to Amazon we're 69 69 00:01:46,290 --> 00:01:47,909 always just adding this stuff 70 70 00:01:47,910 --> 00:01:48,599 to our system 71 71 00:01:48,600 --> 00:01:49,619 and adding more data. 72 72 00:01:49,620 --> 00:01:51,419 So OK so you're like constantly 73 73 00:01:51,420 --> 00:01:53,099 pulling info from Amazon. 74 74 00:01:53,100 --> 00:01:54,130 Yep exactly. 75 75 00:01:54,240 --> 00:01:55,739 All like literally 76 76 00:01:55,740 --> 00:01:57,410 all day throughout the day. 77 77 00:01:57,600 --> 00:01:59,270 We're constantly refreshing 78 78 00:01:59,490 --> 00:02:01,049 old data as well so we try to keep 79 79 00:02:01,050 --> 00:02:03,050 everything within 30 days 80 80 00:02:03,600 --> 00:02:05,099 ah some a 81 81 00:02:05,100 --> 00:02:05,510 bit. 82 82 00:02:05,970 --> 00:02:07,469 Closer. I think like a couple 83 83 00:02:07,470 --> 00:02:09,239 of weeks anyways. 84 84 00:02:09,240 --> 00:02:11,038 We just want to have the freshest 85 85 00:02:11,039 --> 00:02:12,809 like largest data set possible 86 86 00:02:12,810 --> 00:02:14,489 so that you have the best opportunity 87 87 00:02:14,490 --> 00:02:16,570 to come up with great product ideas essentially. 88 88 00:02:16,580 --> 00:02:18,059 Okay. So yeah that's 89 89 00:02:18,060 --> 00:02:19,829 how we refresher we're always trying 90 90 00:02:19,830 --> 00:02:21,569 to show different data 91 91 00:02:21,570 --> 00:02:23,189 because we don't want everybody sourcing 92 92 00:02:23,190 --> 00:02:24,239 the same products. 93 93 00:02:24,240 --> 00:02:25,739 If we are showing these same 94 94 00:02:25,740 --> 00:02:27,599 kind of results we do have a little warning 95 95 00:02:27,600 --> 00:02:29,219 tag on there to let you know hey a lot 96 96 00:02:29,220 --> 00:02:30,899 of people are interested in this product 97 97 00:02:30,900 --> 00:02:32,509 is that by like clicks 98 98 00:02:32,510 --> 00:02:33,629 Yeah like it 99 99 00:02:33,630 --> 00:02:34,879 or is it just saves. 100 100 00:02:34,880 --> 00:02:35,579 No it's a lot. 101 101 00:02:35,580 --> 00:02:36,415 So it's by.. 102 102 00:02:36,420 --> 00:02:36,670 Okay. Clicks... 103 103 00:02:37,080 --> 00:02:38,930 It's by saves it's by 104 104 00:02:38,990 --> 00:02:40,850 interest in Market Intelligence. 105 105 00:02:40,860 --> 00:02:42,709 So we're just trying to get as 106 106 00:02:42,710 --> 00:02:43,079 OK. 107 107 00:02:43,080 --> 00:02:44,609 So because you know every time that somebody 108 108 00:02:44,610 --> 00:02:45,539 like goes to Amazon 109 109 00:02:45,540 --> 00:02:47,039 and then types and packet intelligence you 110 110 00:02:47,040 --> 00:02:48,236 could see what's really popular right. 111 111 00:02:48,237 --> 00:02:49,334 Ok Nice so.. 112 112 00:02:49,335 --> 00:02:50,909 We're just trynna... So they do use your data 113 113 00:02:50,910 --> 00:02:52,028 but only to help youx like. 114 114 00:02:52,050 --> 00:02:52,379 Yeah Yeah. 115 115 00:02:52,380 --> 00:02:54,440 So I mean again we don't sell ah so 116 116 00:02:54,630 --> 00:02:56,489 we don't. So if you go into 117 117 00:02:56,490 --> 00:02:58,079 market intelligence let's say you have you 118 118 00:02:58,080 --> 00:02:59,579 found like this amazing 119 119 00:02:59,580 --> 00:03:00,359 niche right. 120 120 00:03:00,360 --> 00:03:01,370 Search you know 121 121 00:03:01,450 --> 00:03:02,969 but let's say no one knew about fish 122 122 00:03:02,970 --> 00:03:04,859 oil right. And you search in market intelligence 123 123 00:03:04,860 --> 00:03:06,359 we will not use that word in 124 124 00:03:06,360 --> 00:03:07,229 product discovery. 125 125 00:03:07,230 --> 00:03:08,759 So like ah actual 126 126 00:03:08,760 --> 00:03:10,529 customer searches we don't use 127 127 00:03:10,530 --> 00:03:12,029 in product discovery we have 128 128 00:03:12,030 --> 00:03:13,529 other ways of finding keywords 129 129 00:03:13,530 --> 00:03:14,960 in Amazon that we're using. 130 130 00:03:15,030 --> 00:03:16,649 So Intel so 131 131 00:03:16,650 --> 00:03:18,299 you don't add keywords that your 132 132 00:03:18,300 --> 00:03:19,979 customers search into the system. 133 133 00:03:19,980 --> 00:03:21,209 No. Oh okay. 134 134 00:03:21,210 --> 00:03:22,009 That wouldn't be fair. 135 135 00:03:22,010 --> 00:03:23,039 Right. Like you come up 136 136 00:03:23,040 --> 00:03:24,869 with an inflatable 137 137 00:03:24,870 --> 00:03:26,660 lounger. Let's say you're the first one. 138 138 00:03:26,730 --> 00:03:28,139 Yeah. We add it to product discovery. 139 139 00:03:28,140 --> 00:03:29,639 Now show it to everybody like you know 140 140 00:03:29,640 --> 00:03:31,139 that wouldn't be. Yeah for sure. 141 141 00:03:31,140 --> 00:03:31,892 Okay. That's Interesting. 142 142 00:03:31,893 --> 00:03:32,339 Yeah Yeah. 143 143 00:03:32,340 --> 00:03:33,809 So we don't add that data. 144 144 00:03:33,810 --> 00:03:35,339 But when you run 145 145 00:03:35,340 --> 00:03:37,019 a search on the inflatable 146 146 00:03:37,020 --> 00:03:38,360 lounge or market 147 147 00:03:38,520 --> 00:03:40,139 and ah we see 148 148 00:03:40,140 --> 00:03:41,909 it in one of our other areas then 149 149 00:03:41,910 --> 00:03:43,649 like we'll use that data. 150 150 00:03:43,650 --> 00:03:44,349 Does that make sense. 151 151 00:03:44,350 --> 00:03:45,929 Yeah we've already if we're already aware 152 152 00:03:45,930 --> 00:03:46,649 of the word 153 153 00:03:46,650 --> 00:03:48,150 and you refreshed like yeah 154 154 00:03:48,310 --> 00:03:49,320 oh you don't. 155 155 00:03:49,350 --> 00:03:50,969 Yeah we would never steal anybody's ideas 156 156 00:03:50,970 --> 00:03:52,469 and then like make them available 157 157 00:03:52,470 --> 00:03:53,390 to anybody else. 158 158 00:03:53,490 --> 00:03:54,969 Oh. So not only do 159 159 00:03:54,970 --> 00:03:55,649 you not sell 160 160 00:03:55,650 --> 00:03:57,380 but you don't even show it to other sellers. 161 161 00:03:57,400 --> 00:03:58,129 No. No. Yeah. 162 162 00:03:58,130 --> 00:03:58,569 Oh okay. 163 163 00:03:58,570 --> 00:04:00,149 And to be fair like we're always trying to make 164 164 00:04:00,150 --> 00:04:01,371 sure that like keep things separated 165 165 00:04:01,372 --> 00:04:03,029 and honest 166 166 00:04:03,030 --> 00:04:04,649 for people and so I think 167 167 00:04:04,650 --> 00:04:06,179 you'd be pretty mad if like you were one 168 168 00:04:06,180 --> 00:04:07,709 of the first to find silver eclipse glasses 169 169 00:04:07,710 --> 00:04:09,239 and now that's like the word everybody is 170 170 00:04:09,240 --> 00:04:10,639 getting in product discovery right. 171 171 00:04:10,640 --> 00:04:11,540 Yeah yeah. 172 172 00:04:12,090 --> 00:04:13,800 So ah so yeah. 173 173 00:04:14,010 --> 00:04:15,900 So our big focus on this tool like 174 174 00:04:16,290 --> 00:04:17,930 a lot of other tools have products search ah 175 175 00:04:18,630 --> 00:04:19,953 So that is the... like 176 176 00:04:21,240 --> 00:04:22,099 Least of our focus. 177 177 00:04:22,100 --> 00:04:23,940 Our main focus ah 178 178 00:04:23,990 --> 00:04:25,769 for the average seller 179 179 00:04:25,770 --> 00:04:26,789 is on keyword. 180 180 00:04:26,790 --> 00:04:28,349 So we really are focused on having 181 181 00:04:28,350 --> 00:04:29,870 high quality keywords 182 182 00:04:29,940 --> 00:04:31,799 making it really fast to find 183 183 00:04:31,800 --> 00:04:33,320 good product opportunities. 184 184 00:04:33,360 --> 00:04:35,090 And so you can use keyword tool. 185 185 00:04:35,460 --> 00:04:37,100 Again we focus on 186 186 00:04:37,110 --> 00:04:38,729 trying to have as high quality words 187 187 00:04:38,730 --> 00:04:40,349 as possible can filter by 188 188 00:04:40,350 --> 00:04:42,209 the star rating to find you know five 189 189 00:04:42,210 --> 00:04:43,880 stock markets very quickly 190 190 00:04:43,950 --> 00:04:45,320 and hopefully that 191 191 00:04:45,600 --> 00:04:47,399 at the very least you know spark 192 192 00:04:47,400 --> 00:04:48,359 some ideas 193 193 00:04:48,360 --> 00:04:49,949 or uhm interest 194 194 00:04:49,950 --> 00:04:51,329 in opportunities. 195 195 00:04:51,330 --> 00:04:52,949 We also like nobody else 196 196 00:04:52,950 --> 00:04:54,659 shows brand search 197 197 00:04:54,660 --> 00:04:56,619 so you can filter now through brands 198 198 00:04:56,620 --> 00:04:58,199 to find brands that are performing 199 199 00:04:58,200 --> 00:04:59,150 really well. 200 200 00:04:59,220 --> 00:05:01,219 So that you can either go 201 201 00:05:01,220 --> 00:05:02,650 see what products are helping to drive their success 202 202 00:05:02,750 --> 00:05:05,419 or you can also go maybe buy 203 203 00:05:05,420 --> 00:05:07,129 one of their products to see how are they eliciting 204 204 00:05:07,130 --> 00:05:08,629 reviews. How are they you know driving 205 205 00:05:08,630 --> 00:05:10,320 sales do they have a Facebook page that's 206 206 00:05:10,350 --> 00:05:11,570 performing really well 207 207 00:05:11,571 --> 00:05:13,149 with like to get ideas. 208 208 00:05:13,150 --> 00:05:14,719 What is it Shopify store look 209 209 00:05:14,720 --> 00:05:17,239 like. You know really if these brands 210 210 00:05:17,240 --> 00:05:18,529 are successful I wanna know how 211 211 00:05:18,530 --> 00:05:20,319 and through product discovery we'll 212 212 00:05:20,320 --> 00:05:22,009 actually find those brands in 213 213 00:05:22,010 --> 00:05:23,689 your categories that satisfy 214 214 00:05:23,690 --> 00:05:26,240 your criteria so you 215 215 00:05:26,630 --> 00:05:28,510 can come up with these learnings essentially. 216 216 00:05:28,600 --> 00:05:30,619 We also allow 217 217 00:05:30,620 --> 00:05:31,989 you to sort through Amazon categories 218 218 00:05:31,990 --> 00:05:33,592 and 219 219 00:05:33,860 --> 00:05:35,479 allows you to find 220 220 00:05:35,480 --> 00:05:36,690 niches of opportunity. 221 221 00:05:36,760 --> 00:05:38,719 So ah you know finding 222 222 00:05:38,720 --> 00:05:40,219 it under you 223 223 00:05:40,220 --> 00:05:41,309 know beauty 224 224 00:05:41,310 --> 00:05:43,039 and then creams 225 225 00:05:43,040 --> 00:05:44,689 in phase like you 226 226 00:05:44,690 --> 00:05:46,459 can really dive deep to find niches 227 227 00:05:46,460 --> 00:05:47,649 of opportunity. 228 228 00:05:47,650 --> 00:05:49,639 And so seems 229 229 00:05:49,640 --> 00:05:51,289 like larger sellers tend 230 230 00:05:51,290 --> 00:05:52,240 to like the brand searching 231 231 00:05:52,780 --> 00:05:54,799 category search because they find great 232 232 00:05:54,800 --> 00:05:55,050 opportunities 233 233 00:05:55,490 --> 00:05:56,729 but it's not very direct. 234 234 00:05:56,730 --> 00:05:58,279 Right. Like they 235 235 00:05:58,280 --> 00:05:59,899 don't want it to be super easy because if it's 236 236 00:05:59,900 --> 00:06:01,509 easy a bunch of other people are probably finding 237 237 00:06:01,510 --> 00:06:03,649 Oh if you find this 238 238 00:06:03,650 --> 00:06:04,490 brand or this category 239 239 00:06:04,491 --> 00:06:06,289 and you like know how to sift 240 240 00:06:06,290 --> 00:06:08,629 through the data to find good opportunities it's 241 241 00:06:08,630 --> 00:06:09,799 a lot less likely that other people are finding them 242 242 00:06:09,800 --> 00:06:11,889 because like you took all these random 243 243 00:06:11,890 --> 00:06:12,610 steps. Yeah. 244 244 00:06:12,860 --> 00:06:15,079 Anyways there's just 245 245 00:06:15,080 --> 00:06:16,659 a ton of data where 246 246 00:06:16,660 --> 00:06:17,720 you don't have a product tracker because we're already 247 247 00:06:17,721 --> 00:06:19,489 tracking all 248 248 00:06:19,490 --> 00:06:21,189 of these products for you. So if you go use market 249 249 00:06:21,190 --> 00:06:23,359 intelligence you're 250 250 00:06:23,360 --> 00:06:24,170 able to see all the trends 251 251 00:06:24,171 --> 00:06:26,209 and sales and a lot of these products we've 252 252 00:06:26,210 --> 00:06:27,219 been tracking you know for years. 253 253 00:06:27,220 --> 00:06:28,610 So there's no point in using 254 254 00:06:28,611 --> 00:06:30,709 or having a product tracker because 255 255 00:06:30,710 --> 00:06:32,069 we are naturally a product tracker 256 256 00:06:32,070 --> 00:06:34,039 and have a lot more historical 257 257 00:06:34,040 --> 00:06:34,469 data than you will get. 258 258 00:06:34,470 --> 00:06:35,449 Yeah yeah. So. 259 259 00:06:35,450 --> 00:06:36,853 So if we want to go into that so 260 260 00:06:37,030 --> 00:06:38,909 you have market you have the 261 261 00:06:38,910 --> 00:06:40,529 the product discovery research tool 262 262 00:06:40,530 --> 00:06:41,771 but then you also market intelligence. 263 263 00:06:41,772 --> 00:06:42,024 Correct. 264 264 00:06:42,540 --> 00:06:43,790 And so market 265 265 00:06:44,050 --> 00:06:45,739 intelligence is is just like a 266 266 00:06:45,740 --> 00:06:46,350 sales estimater. 267 267 00:06:46,920 --> 00:06:48,610 It tells you kind of that. 268 268 00:06:48,810 --> 00:06:50,419 And then also the ideas that 269 269 00:06:50,420 --> 00:06:51,909 give you the idea score when you type in a 270 270 00:06:51,910 --> 00:06:52,649 keyword. Oh yeah. 271 271 00:06:52,650 --> 00:06:54,449 It just doesn't suggest you idea 272 272 00:06:54,450 --> 00:06:56,329 keywords so big product 273 273 00:06:56,330 --> 00:06:56,689 discovery does. 274 274 00:06:56,690 --> 00:06:58,319 Yeah. So product discovery is like 275 275 00:06:58,320 --> 00:06:59,869 coming 276 276 00:06:59,870 --> 00:07:01,579 up with ideas and there's there's some high level 277 277 00:07:01,580 --> 00:07:03,499 stats to show you like why it's 278 278 00:07:03,500 --> 00:07:05,530 a good idea. Right like. This satisfies your bride 279 279 00:07:05,690 --> 00:07:07,790 criteria. It's selling enough units 280 280 00:07:07,860 --> 00:07:09,439 at a good price point the 281 281 00:07:09,440 --> 00:07:10,450 margin is okay. 282 282 00:07:11,000 --> 00:07:12,429 It's been trending up over the last 90 days. 283 283 00:07:12,430 --> 00:07:14,959 And then you use market intelligence to go validate 284 284 00:07:14,960 --> 00:07:16,609 that idea. So you go plug 285 285 00:07:16,610 --> 00:07:18,499 it in because market intelligence is 286 286 00:07:18,500 --> 00:07:20,229 real time data product discovery could be you 287 287 00:07:20,230 --> 00:07:21,610 know a couple of weeks old for example 288 288 00:07:21,850 --> 00:07:23,569 and also so what market 289 289 00:07:23,570 --> 00:07:25,279 intelligence does is it shows you how is price been 290 290 00:07:25,280 --> 00:07:26,109 trending in this market. 291 291 00:07:26,110 --> 00:07:27,739 How how reviews in 292 292 00:07:27,740 --> 00:07:28,719 sales been trending in this market. 293 293 00:07:28,720 --> 00:07:30,319 What do my 294 294 00:07:30,320 --> 00:07:31,630 exact competitors look like uhm. 295 295 00:07:31,820 --> 00:07:33,349 And basically market 296 296 00:07:33,350 --> 00:07:35,029 intelligence is a lot more fine 297 297 00:07:35,030 --> 00:07:36,919 grained real 298 298 00:07:36,920 --> 00:07:37,819 time perspective of 299 299 00:07:37,820 --> 00:07:38,519 the market. Oh OK. 300 300 00:07:38,520 --> 00:07:40,048 Nice. So oh 301 301 00:07:40,221 --> 00:07:41,839 then then lastly 302 302 00:07:41,840 --> 00:07:43,849 I want to say is 303 303 00:07:43,850 --> 00:07:44,649 that the data I've seen. 304 304 00:07:44,650 --> 00:07:46,129 It's it's it's 305 305 00:07:46,130 --> 00:07:48,349 more accurate than 306 306 00:07:48,350 --> 00:07:48,615 other estimaters. 307 307 00:07:49,100 --> 00:07:50,749 Is there like a reason 308 308 00:07:50,750 --> 00:07:51,820 why. So is. 309 309 00:07:52,050 --> 00:07:54,799 I know some of them just use the 310 310 00:07:54,800 --> 00:07:55,870 9 9 9 trick and whatno. 311 311 00:07:56,480 --> 00:07:58,890 But I guess you were 312 312 00:07:58,910 --> 00:08:01,039 in a unique position where you have customers that 313 313 00:08:01,040 --> 00:08:02,569 like... yeah. You can like not 314 314 00:08:02,570 --> 00:08:03,469 not like share their info 315 315 00:08:03,470 --> 00:08:05,029 with anyone but you could correlate what 316 316 00:08:05,030 --> 00:08:07,039 the BSR to the 317 317 00:08:07,040 --> 00:08:08,689 amount of sales is that kind of how you get such 318 318 00:08:08,690 --> 00:08:09,679 a Better... Yeah. System. 319 319 00:08:09,680 --> 00:08:11,179 Yep. So we have billions 320 320 00:08:11,180 --> 00:08:11,620 of dollars in sales data. 321 321 00:08:11,990 --> 00:08:13,679 We also have historical best seller rank 322 322 00:08:13,680 --> 00:08:14,779 for all of these products. 323 323 00:08:14,780 --> 00:08:16,699 And so what we've been able to do is 324 324 00:08:16,700 --> 00:08:18,409 map 325 325 00:08:18,410 --> 00:08:20,390 out for each market the 326 326 00:08:21,140 --> 00:08:22,009 relationship between best seller rank 327 327 00:08:22,010 --> 00:08:22,779 and sales. 328 328 00:08:22,780 --> 00:08:24,679 And so we update our algorithms 329 329 00:08:24,680 --> 00:08:26,379 nightly so it's always you 330 330 00:08:26,380 --> 00:08:28,660 know using the freshest data possible 331 331 00:08:28,890 --> 00:08:30,529 uhmm and yeah we 332 332 00:08:30,530 --> 00:08:31,930 don't use any 9 9 9 methods. 333 333 00:08:32,230 --> 00:08:34,428 Also a big difference is how we 334 334 00:08:34,429 --> 00:08:35,620 actually look at best seller rank. 335 335 00:08:35,710 --> 00:08:37,428 So BSR trends 336 336 00:08:37,429 --> 00:08:38,949 are like barries you 337 337 00:08:38,950 --> 00:08:41,058 know hour to hour day to day week 338 338 00:08:41,059 --> 00:08:42,619 to week and so you know if 339 339 00:08:42,620 --> 00:08:44,099 you look at a tea pot with let's just say if you 340 340 00:08:44,100 --> 00:08:46,159 if you will get a 341 341 00:08:46,160 --> 00:08:47,659 tea pot in 342 342 00:08:47,660 --> 00:08:49,259 the morning the best the BSR is going 343 343 00:08:49,260 --> 00:08:50,999 to be different than at night because people will let's 344 344 00:08:51,000 --> 00:08:52,549 say drink their tea in the morning so then 345 345 00:08:52,550 --> 00:08:54,049 they realize they need a new tea 346 346 00:08:54,050 --> 00:08:55,189 kettle and that's when they buy 347 347 00:08:55,190 --> 00:08:56,980 or maybe they only drink tea on the weekends. 348 348 00:08:57,030 --> 00:08:59,119 So best seller rank will be different on 349 349 00:08:59,120 --> 00:09:00,520 the weekends than it is during the week. 350 350 00:09:01,120 --> 00:09:03,409 And so our tool takes into account all these 351 351 00:09:03,410 --> 00:09:05,389 fluctuations. We don't do averages 352 352 00:09:05,390 --> 00:09:07,519 or anything like that. We take into account all 353 353 00:09:07,520 --> 00:09:09,099 these fluctuations to uhm to 354 354 00:09:09,100 --> 00:09:10,669 build ourselves estimate 355 355 00:09:10,670 --> 00:09:11,359 for that last month. 356 356 00:09:11,360 --> 00:09:13,199 So maybe you we're 357 357 00:09:13,200 --> 00:09:14,929 out of stock or maybe you ran a promotion like 358 358 00:09:14,930 --> 00:09:16,819 we take into account all these 359 359 00:09:16,820 --> 00:09:18,349 fluctuations to build our sales 360 360 00:09:18,350 --> 00:09:18,600 estimate. 361 361 00:09:19,060 --> 00:09:20,599 Douglas Scott just looks in other 362 362 00:09:20,600 --> 00:09:22,969 tools just look at what your best seller rank 363 363 00:09:22,970 --> 00:09:25,289 is right now. Yeah they they assume 364 364 00:09:25,290 --> 00:09:26,989 that it's been the same over 365 365 00:09:26,990 --> 00:09:27,715 the last 30 days and they give it... it is just 366 366 00:09:29,150 --> 00:09:29,160 not true. 367 367 00:09:29,161 --> 00:09:29,899 Right exactly. 368 368 00:09:29,900 --> 00:09:31,519 But but then also I 369 369 00:09:31,520 --> 00:09:33,679 guess where you guys have very 370 370 00:09:33,680 --> 00:09:35,480 accurate data at 371 371 00:09:35,870 --> 00:09:36,250 the top and the bottom of the market. Yeah. 372 372 00:09:36,520 --> 00:09:37,592 Because I've looked with... uhm II've 373 373 00:09:39,180 --> 00:09:40,049 Looked with jungle scout 374 374 00:09:40,050 --> 00:09:41,539 and some 375 375 00:09:41,540 --> 00:09:42,469 opportunities look ugly 376 376 00:09:42,470 --> 00:09:43,429 and then I've looked 377 377 00:09:43,430 --> 00:09:44,559 with yours and they don't look ugly. 378 378 00:09:44,560 --> 00:09:45,130 Yeah. 379 379 00:09:45,630 --> 00:09:47,479 So we part 380 380 00:09:47,480 --> 00:09:49,069 of the reason is I mean we just have sellers 381 381 00:09:49,070 --> 00:09:50,779 that some sometimes are 382 382 00:09:50,780 --> 00:09:52,609 products and number one best 383 383 00:09:52,610 --> 00:09:53,300 seller in their category 384 384 00:09:53,301 --> 00:09:54,889 and they're selling you know 36000 385 385 00:09:54,890 --> 00:09:56,689 units a month or the most I've 386 386 00:09:56,690 --> 00:09:58,849 seen in a single month is I 387 387 00:09:58,850 --> 00:10:00,352 think it was sixty nine thousand... 388 388 00:10:00,353 --> 00:10:01,829 yea yea like Sixty three 389 389 00:10:01,830 --> 00:10:03,779 sixty nine thousand units sold 390 390 00:10:03,780 --> 00:10:05,429 in a month on 391 391 00:10:05,430 --> 00:10:07,239 one of these products. So like we have the BSR 392 392 00:10:07,240 --> 00:10:09,329 is at the top so we're able to appropriately 393 393 00:10:09,330 --> 00:10:10,440 draft them essentially. 394 394 00:10:11,210 --> 00:10:12,010 Oh OK. 395 395 00:10:12,070 --> 00:10:14,159 That's that's where it makes sense because 396 396 00:10:14,160 --> 00:10:15,260 you have that. OK. 397 397 00:10:15,450 --> 00:10:16,129 That's why. Yeah. 398 398 00:10:16,130 --> 00:10:18,930 So it's so very 399 399 00:10:19,050 --> 00:10:20,679 important to check out the market intelligence 400 400 00:10:20,680 --> 00:10:21,880 on on your 401 401 00:10:22,670 --> 00:10:23,956 your list on on on just the 402 402 00:10:25,260 --> 00:10:27,850 ideas because 403 403 00:10:27,990 --> 00:10:29,579 it does make a very big difference because I mean on 404 404 00:10:29,580 --> 00:10:31,079 my solar eclipse glasses it 405 405 00:10:31,080 --> 00:10:32,669 was only saying that I was selling 300 406 406 00:10:32,670 --> 00:10:33,500 units a day 407 407 00:10:33,530 --> 00:10:35,390 and I was selling three thousand. 408 408 00:10:35,430 --> 00:10:36,549 Well yeah. 409 409 00:10:36,550 --> 00:10:37,790 So 10x difference. 410 410 00:10:38,970 --> 00:10:40,969 Uhm So just actually 411 411 00:10:40,970 --> 00:10:42,639 Kevin David head of 412 412 00:10:42,640 --> 00:10:44,159 research video on YouTube and he was looking at my 413 413 00:10:44,160 --> 00:10:45,819 and he just looked at a total ROI 414 414 00:10:45,820 --> 00:10:47,579 eclipse glasses. That's 415 415 00:10:47,580 --> 00:10:49,010 not bad. Like they're making no money. 416 416 00:10:49,130 --> 00:10:49,889 They're doing all these giveaways 417 417 00:10:49,890 --> 00:10:51,899 and he pulled up my 418 418 00:10:51,900 --> 00:10:53,719 product and I was still just 419 419 00:10:53,720 --> 00:10:55,349 laughing because I was like Oh this 420 420 00:10:55,350 --> 00:10:56,969 is totally wrong data here. Like if you had the 421 421 00:10:56,970 --> 00:10:58,549 other one then it 422 422 00:10:58,550 --> 00:10:59,630 would be a different story. And if you knew who I was. 423 423 00:10:59,870 --> 00:11:01,009 But anyways so yeah. 424 424 00:11:01,010 --> 00:11:02,829 Make sure you use that on 425 425 00:11:02,830 --> 00:11:04,829 you know the product discovery tool 426 426 00:11:04,830 --> 00:11:05,480 is cool. 427 427 00:11:05,900 --> 00:11:07,439 You don't need to use it. But it's 428 428 00:11:07,440 --> 00:11:08,960 it helps you save time 429 429 00:11:08,990 --> 00:11:10,659 but the market intelligence is 430 430 00:11:10,660 --> 00:11:13,650 probably a good buy 431 431 00:11:14,070 --> 00:11:15,959 just to validate your idea just cause you want 432 432 00:11:15,960 --> 00:11:17,489 to get good accurate numbers before you 433 433 00:11:17,490 --> 00:11:18,349 place an order on something. 434 434 00:11:18,350 --> 00:11:20,189 Yeah. Yeah I mean you'd 435 435 00:11:20,190 --> 00:11:21,399 like to know how many units somebody is selling 436 436 00:11:21,400 --> 00:11:23,279 or you know how how their 437 437 00:11:23,280 --> 00:11:24,209 sales been trending 438 438 00:11:24,210 --> 00:11:25,829 or maybe there's a big spike in 439 439 00:11:25,830 --> 00:11:27,719 BSR and it's 440 440 00:11:27,720 --> 00:11:29,259 been dropping back down and now you know you 441 441 00:11:29,260 --> 00:11:30,669 can say oh they ran a promotion 442 442 00:11:30,670 --> 00:11:32,849 or or like the 443 443 00:11:32,850 --> 00:11:34,399 big things are you know fidget spinners 444 444 00:11:34,400 --> 00:11:35,939 in February looked 445 445 00:11:35,940 --> 00:11:37,389 amazing their 20 dollars a unit 446 446 00:11:37,390 --> 00:11:38,909 and they're BSR 447 447 00:11:38,910 --> 00:11:39,770 was amazing 448 448 00:11:39,780 --> 00:11:41,309 but had 449 449 00:11:41,310 --> 00:11:42,989 you looked at the like market 450 450 00:11:42,990 --> 00:11:44,759 intelligence graph you could see that price started 451 451 00:11:44,760 --> 00:11:46,499 at 25 30 dollars so 452 452 00:11:46,500 --> 00:11:47,369 it has a price trend. 453 453 00:11:47,370 --> 00:11:49,409 Yeah. So I always want 454 454 00:11:49,410 --> 00:11:50,660 to see how price has been trending. 455 455 00:11:50,990 --> 00:11:52,481 So had you looked at Fidget spinners 456 456 00:11:53,310 --> 00:11:54,929 in you know February 457 457 00:11:54,930 --> 00:11:56,699 you wouldn't have jumped in because you would 458 458 00:11:56,700 --> 00:11:58,299 have seen price was dropping for that market. 459 459 00:11:58,300 --> 00:11:59,480 So OK. 460 460 00:11:59,700 --> 00:12:01,439 Does it have average 461 461 00:12:01,440 --> 00:12:03,659 reviews like over time for 462 462 00:12:03,660 --> 00:12:04,615 the first page. Yeah. It does?. 463 463 00:12:04,640 --> 00:12:05,559 It has a review trend 464 464 00:12:05,560 --> 00:12:07,059 and you can see how that's been trending. 465 465 00:12:07,060 --> 00:12:09,269 We'll also show you how sales 466 466 00:12:09,270 --> 00:12:10,829 year over year if we have 467 467 00:12:10,830 --> 00:12:12,339 the data. So yeah we try 468 468 00:12:12,340 --> 00:12:13,889 to provide a 469 469 00:12:13,890 --> 00:12:15,659 good overview of the market so you understand how the 470 470 00:12:15,660 --> 00:12:16,979 market is trending versus a couple of reasons 471 471 00:12:16,980 --> 00:12:17,810 or something. Yeah cool. 472 472 00:12:17,950 --> 00:12:19,749 Yeah yeah yeah well definitely 473 473 00:12:19,750 --> 00:12:21,349 good info and check out the two 474 474 00:12:21,350 --> 00:12:23,349 if you guys want to move on 475 475 00:12:23,350 --> 00:12:23,400 to the next video. 36238