Shopify 리서치 허브 · 문서/위키형 둘러보기 분류 관리 자동 조사

EcommBloom

YouTube 수집: 2026-09-12 게시: 2025-03-07
https://youtu.be/ZIpAsptR2TM

내용

[subtitle-meta] lang=en auto=True all right if you're on Shopify you have seen this analytics dashboard there is a cohort analysis do you use it do you not use it I'm going to provide you a use case here uh which is a real life example that I had a call about two weeks ago now where they're like hey Casey what should I do like how do I know my ltvs how can I calculate it it's like I got you let's look at this real quick just to see what we can learn in snapshot like so this is not real data it's the same um I took the real data and just altered a little bit so it's a correlation on jumps uh month-to month will be similar but not the exact same because I don't want to share someone or you clients's exact data but I will share my screen and show you what they got going on here so I've pulled the Cod analysis into a sheet here and you can see we got uh all the cohorts by month the last 12 months uh February through January 2025 average spent per customer so this is like from what the data we have here which is obviously not a full 12 months for all of them but for each cohort it's on average what that customer and that cohort is spent with your business it's like on if you took number of customers that bought in February times $96 that's amount of Revenue that Cort has generated on average so then it breaks it down by their first order and if they bought the same month so this is for February this is still February then this becomes March this is April so on and so forth so that's a little bit of how to how to read this and then this top row takes the average for every month now the one thing I want to notice this is what we noticed immediately it's like if you look at the average by month the last 12 months these three months stick out as the most now they have a Peril and a and some other things in a very nich audience but like a lot of e-commerce businesses Q4 is pretty important to them but what you'll notice is those aren't the highest amount of ltvs or average amount spent per customer in those cohorts so these are new customers acquired each of these months essentially um and I've removed their so they have a physical store as well I've removed their physical store sales from this this is online sales only and you'll notice that these months are the highest why well okay they're right before Q4 that is how they're monetizing their their list they're hitting their list hard in Q4 of course like everyone does emails SMS and the people who end up being worth the most are not the people you acquire in Q4 I should say November December um Black Friday some Monday holiday it's the people right before so their Q4 really starts in August and going forward they can leverage this data like okay I know that these people are going to be worth a lot more to me especially September and more so October so I am willing you know we can leverage that 90-day lifetime value or 60-day depending on which month we're in like and to make sure we're keeping cash flow and I'm going to spend more to acquire them because I know fire you know I want to acquire as many people in these months as possible because I know they're going to be worth more from when they buy again in November and December and we could see that so this is November December for August cohort this is November December for the September and then for the October cohort you see they each go up pretty nicely now you think it's just only a few few dollars you take that times the number of people they acquired that month uh and then all of a sudden you know $3 difference per you know put in a th000 customers you know $3,000 um that's a made of number obviously but you get the idea and it's like those can end up being a lot bigger numbers or if you required 10,000 people that month then that's a lot more 30,000 so that's the kind of thing where even just a snapshot like this we we looked at this in 15 minutes 1015 minutes we're like we should be spending a lot more money in these months and what we did we even broke it down further and we did it for their shirts all these numbers went up when we did their shirts um because they have shirts and they have hats and some other stuff and uh I won't go into the details but the shirts were the ones that had the best ltvs and follow the same Trend like okay well not only do we want to pump a bunch of money and try to even take maybe a loss or a lower uh Blended Rass these months uh to acquire more customers but we also want to make sure it's more focused on the shirts because those people come back have a better experience buy more so that's something in 15 minutes you go look at this coh holder analysis you can kind of see what does that look like for you are there certain months where you know your ltvs are better and then we proved this but went look in 2020 so we were looking in 2024 look at 2023 the trend was consistent um so that's just something you can use look at this cohort analysis and kind of see how you can leverage it now there's other ways you can do it buy product is a great way um and you know you in the filters uh first sale is by X product or has the title it contains XYZ so those are some great ways to use this cohort analysis to leverage times of the year to in your favor to help grow and scale the business and still be profitable
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all right if you're on Shopify you have
 

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all right if you're on Shopify you have
seen<00:00:03.560><c> this</c><00:00:03.800><c> analytics</c><00:00:04.359><c> dashboard</c><00:00:04.920><c> there</c><00:00:05.040><c> is</c><00:00:05.200><c> a</c>

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seen this analytics dashboard there is a
 

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seen this analytics dashboard there is a
cohort<00:00:06.120><c> analysis</c><00:00:07.120><c> do</c><00:00:07.279><c> you</c><00:00:07.399><c> use</c><00:00:07.560><c> it</c><00:00:07.680><c> do</c><00:00:07.799><c> you</c><00:00:07.879><c> not</c>

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cohort analysis do you use it do you not
 

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cohort analysis do you use it do you not
use<00:00:08.280><c> it</c><00:00:09.000><c> I'm</c><00:00:09.080><c> going</c><00:00:09.200><c> to</c><00:00:09.280><c> provide</c><00:00:09.559><c> you</c><00:00:09.760><c> a</c><00:00:09.920><c> use</c>

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use it I'm going to provide you a use
 

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use it I'm going to provide you a use
case<00:00:10.599><c> here</c><00:00:11.280><c> uh</c><00:00:11.480><c> which</c><00:00:11.799><c> is</c><00:00:11.960><c> a</c><00:00:12.200><c> real</c><00:00:12.440><c> life</c>

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case here uh which is a real life
 

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case here uh which is a real life
example<00:00:13.000><c> that</c><00:00:13.080><c> I</c><00:00:13.200><c> had</c><00:00:13.320><c> a</c><00:00:13.519><c> call</c><00:00:14.160><c> about</c><00:00:14.320><c> two</c>

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example that I had a call about two
 

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example that I had a call about two
weeks<00:00:14.679><c> ago</c><00:00:14.960><c> now</c><00:00:15.519><c> where</c><00:00:16.359><c> they're</c><00:00:16.520><c> like</c><00:00:16.720><c> hey</c>

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weeks ago now where they're like hey
 

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weeks ago now where they're like hey
Casey<00:00:17.320><c> what</c><00:00:17.400><c> should</c><00:00:17.560><c> I</c><00:00:17.760><c> do</c><00:00:18.560><c> like</c><00:00:18.840><c> how</c><00:00:18.920><c> do</c><00:00:19.000><c> I</c>

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Casey what should I do like how do I
 

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Casey what should I do like how do I
know<00:00:19.320><c> my</c><00:00:19.400><c> ltvs</c><00:00:20.039><c> how</c><00:00:20.160><c> can</c><00:00:20.279><c> I</c><00:00:20.439><c> calculate</c><00:00:20.840><c> it</c><00:00:21.320><c> it's</c>

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know my ltvs how can I calculate it it's
 

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know my ltvs how can I calculate it it's
like<00:00:21.640><c> I</c><00:00:21.760><c> got</c><00:00:21.920><c> you</c><00:00:22.080><c> let's</c><00:00:22.240><c> look</c><00:00:22.359><c> at</c><00:00:22.519><c> this</c><00:00:22.680><c> real</c>

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like I got you let's look at this real
 

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like I got you let's look at this real
quick<00:00:23.080><c> just</c><00:00:23.160><c> to</c><00:00:23.279><c> see</c><00:00:23.439><c> what</c><00:00:23.519><c> we</c><00:00:23.640><c> can</c><00:00:23.720><c> learn</c><00:00:23.880><c> in</c>

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quick just to see what we can learn in
 

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quick just to see what we can learn in
snapshot<00:00:25.240><c> like</c><00:00:25.400><c> so</c><00:00:25.920><c> this</c><00:00:26.119><c> is</c><00:00:27.000><c> not</c><00:00:27.240><c> real</c><00:00:27.560><c> data</c>

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snapshot like so this is not real data
 

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snapshot like so this is not real data
it's<00:00:28.160><c> the</c><00:00:28.599><c> same</c><00:00:29.599><c> um</c><00:00:30.320><c> I</c><00:00:30.400><c> took</c><00:00:30.599><c> the</c><00:00:30.679><c> real</c><00:00:30.960><c> data</c>

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it's the same um I took the real data
 

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it's the same um I took the real data
and<00:00:31.279><c> just</c><00:00:31.400><c> altered</c><00:00:31.759><c> a</c><00:00:31.840><c> little</c><00:00:32.000><c> bit</c><00:00:32.160><c> so</c><00:00:32.320><c> it's</c><00:00:32.439><c> a</c>

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and just altered a little bit so it's a
 

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and just altered a little bit so it's a
correlation<00:00:33.760><c> on</c><00:00:34.120><c> jumps</c><00:00:35.040><c> uh</c><00:00:35.160><c> month-to</c><00:00:35.600><c> month</c>

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correlation on jumps uh month-to month
 

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correlation on jumps uh month-to month
will<00:00:36.160><c> be</c><00:00:36.960><c> similar</c><00:00:37.960><c> but</c><00:00:38.079><c> not</c><00:00:38.239><c> the</c><00:00:38.440><c> exact</c><00:00:38.719><c> same</c>

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will be similar but not the exact same
 

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will be similar but not the exact same
because<00:00:39.079><c> I</c><00:00:39.160><c> don't</c><00:00:39.239><c> want</c><00:00:39.360><c> to</c><00:00:39.440><c> share</c><00:00:39.920><c> someone</c><00:00:40.399><c> or</c>

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because I don't want to share someone or
 

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because I don't want to share someone or
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you clients's exact data but I will
 

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you clients's exact data but I will
share<00:00:45.000><c> my</c><00:00:45.160><c> screen</c><00:00:45.440><c> and</c><00:00:45.600><c> show</c><00:00:46.079><c> you</c><00:00:47.079><c> what</c><00:00:47.239><c> they</c>

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share my screen and show you what they
 

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share my screen and show you what they
got<00:00:47.640><c> going</c><00:00:47.840><c> on</c><00:00:48.640><c> here</c><00:00:49.640><c> so</c><00:00:50.520><c> I've</c><00:00:50.719><c> pulled</c><00:00:51.000><c> the</c><00:00:51.079><c> Cod</c>

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got going on here so I've pulled the Cod
 

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got going on here so I've pulled the Cod
analysis<00:00:51.840><c> into</c><00:00:52.320><c> a</c><00:00:52.399><c> sheet</c><00:00:52.800><c> here</c><00:00:53.559><c> and</c><00:00:53.960><c> you</c><00:00:54.039><c> can</c>

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analysis into a sheet here and you can
 

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analysis into a sheet here and you can
see<00:00:54.359><c> we</c><00:00:54.520><c> got</c><00:00:55.079><c> uh</c><00:00:55.199><c> all</c><00:00:55.359><c> the</c><00:00:55.480><c> cohorts</c><00:00:55.960><c> by</c><00:00:56.120><c> month</c>

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see we got uh all the cohorts by month
 

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see we got uh all the cohorts by month
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the last 12 months uh February through
 

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the last 12 months uh February through
January<00:00:59.079><c> 2025</c>

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January 2025
 

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January 2025
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average spent per customer so this is
 

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average spent per customer so this is
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like from what the data we have here
 

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like from what the data we have here
which<00:01:05.159><c> is</c><00:01:05.280><c> obviously</c><00:01:05.560><c> not</c><00:01:05.640><c> a</c><00:01:05.760><c> full</c><00:01:05.960><c> 12</c><00:01:06.159><c> months</c>

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which is obviously not a full 12 months
 

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which is obviously not a full 12 months
for<00:01:06.479><c> all</c><00:01:06.600><c> of</c><00:01:06.680><c> them</c><00:01:07.000><c> but</c><00:01:07.119><c> for</c><00:01:07.240><c> each</c><00:01:07.439><c> cohort</c><00:01:07.840><c> it's</c>

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for all of them but for each cohort it's
 

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for all of them but for each cohort it's
on<00:01:08.520><c> average</c><00:01:09.439><c> what</c><00:01:09.640><c> that</c><00:01:09.840><c> customer</c><00:01:10.159><c> and</c><00:01:10.320><c> that</c>

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on average what that customer and that
 

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on average what that customer and that
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cohort is spent with your business it's
 

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cohort is spent with your business it's
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like on if you took number of customers
 

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like on if you took number of customers
that<00:01:15.520><c> bought</c><00:01:15.759><c> in</c><00:01:16.040><c> February</c><00:01:16.479><c> times</c>

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that bought in February times
 

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that bought in February times
$96<00:01:18.759><c> that's</c><00:01:19.080><c> amount</c><00:01:19.840><c> of</c><00:01:20.200><c> Revenue</c><00:01:20.799><c> that</c><00:01:21.000><c> Cort</c>

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$96 that's amount of Revenue that Cort
 

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$96 that's amount of Revenue that Cort
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has generated on average so then it
 

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has generated on average so then it
breaks<00:01:26.920><c> it</c><00:01:27.000><c> down</c><00:01:27.159><c> by</c><00:01:27.320><c> their</c><00:01:27.479><c> first</c><00:01:27.720><c> order</c><00:01:28.560><c> and</c>

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breaks it down by their first order and
 

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breaks it down by their first order and
if<00:01:28.960><c> they</c><00:01:29.079><c> bought</c><00:01:29.280><c> the</c><00:01:29.439><c> same</c><00:01:29.640><c> month</c>

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if they bought the same month
 

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if they bought the same month
so<00:01:31.079><c> this</c><00:01:31.240><c> is</c><00:01:31.439><c> for</c><00:01:31.720><c> February</c><00:01:32.520><c> this</c><00:01:32.640><c> is</c><00:01:32.799><c> still</c>

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so this is for February this is still
 

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so this is for February this is still
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February then this becomes March this is
 

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February then this becomes March this is
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April so on and so forth so that's a
 

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April so on and so forth so that's a
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little bit of how to how to read this
 

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little bit of how to how to read this
and<00:01:40.240><c> then</c><00:01:40.680><c> this</c><00:01:40.880><c> top</c><00:01:41.119><c> row</c><00:01:41.439><c> takes</c><00:01:41.720><c> the</c><00:01:41.920><c> average</c>

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and then this top row takes the average
 

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and then this top row takes the average
for<00:01:42.680><c> every</c><00:01:43.399><c> month</c><00:01:44.399><c> now</c><00:01:44.880><c> the</c><00:01:45.000><c> one</c><00:01:45.159><c> thing</c><00:01:45.320><c> I</c><00:01:45.399><c> want</c>

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for every month now the one thing I want
 

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for every month now the one thing I want
to<00:01:45.680><c> notice</c><00:01:46.079><c> this</c><00:01:46.159><c> is</c><00:01:46.280><c> what</c><00:01:46.360><c> we</c><00:01:46.479><c> noticed</c>

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to notice this is what we noticed
 

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to notice this is what we noticed
immediately<00:01:47.759><c> it's</c><00:01:47.920><c> like</c><00:01:48.280><c> if</c><00:01:48.399><c> you</c><00:01:48.560><c> look</c><00:01:48.719><c> at</c><00:01:49.360><c> the</c>

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immediately it's like if you look at the
 

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immediately it's like if you look at the
average<00:01:50.280><c> by</c><00:01:50.520><c> month</c><00:01:50.920><c> the</c><00:01:51.079><c> last</c><00:01:51.240><c> 12</c><00:01:51.520><c> months</c>

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average by month the last 12 months
 

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average by month the last 12 months
these<00:01:52.719><c> three</c><00:01:52.920><c> months</c><00:01:53.240><c> stick</c><00:01:53.520><c> out</c><00:01:53.880><c> as</c><00:01:54.159><c> the</c><00:01:54.680><c> most</c>

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these three months stick out as the most
 

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these three months stick out as the most
now<00:01:55.960><c> they</c><00:01:56.200><c> have</c><00:01:56.640><c> a</c><00:01:56.880><c> Peril</c><00:01:57.439><c> and</c><00:01:57.640><c> a</c><00:01:58.119><c> and</c><00:01:58.280><c> some</c>

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now they have a Peril and a and some
 

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now they have a Peril and a and some
other<00:01:58.640><c> things</c><00:01:58.799><c> in</c><00:01:58.920><c> a</c><00:01:59.159><c> very</c><00:01:59.399><c> nich</c>

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other things in a very nich
 

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other things in a very nich
audience<00:02:01.360><c> but</c><00:02:02.240><c> like</c><00:02:02.399><c> a</c><00:02:02.520><c> lot</c><00:02:02.640><c> of</c><00:02:02.759><c> e-commerce</c>

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audience but like a lot of e-commerce
 

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audience but like a lot of e-commerce
businesses<00:02:03.960><c> Q4</c><00:02:04.759><c> is</c><00:02:05.159><c> pretty</c><00:02:05.479><c> important</c><00:02:05.840><c> to</c>

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businesses Q4 is pretty important to
 

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businesses Q4 is pretty important to
them<00:02:07.320><c> but</c><00:02:07.960><c> what</c><00:02:08.119><c> you'll</c><00:02:08.599><c> notice</c><00:02:09.679><c> is</c><00:02:10.679><c> those</c>

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them but what you'll notice is those
 

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them but what you'll notice is those
aren't<00:02:11.440><c> the</c><00:02:11.640><c> highest</c><00:02:12.480><c> amount</c><00:02:12.959><c> of</c><00:02:14.200><c> ltvs</c><00:02:15.200><c> or</c>

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aren't the highest amount of ltvs or
 

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aren't the highest amount of ltvs or
average<00:02:15.879><c> amount</c><00:02:16.200><c> spent</c><00:02:16.560><c> per</c><00:02:16.800><c> customer</c><00:02:17.480><c> in</c>

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average amount spent per customer in
 

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average amount spent per customer in
those<00:02:17.840><c> cohorts</c><00:02:18.480><c> so</c><00:02:18.680><c> these</c><00:02:18.800><c> are</c><00:02:18.920><c> new</c><00:02:19.120><c> customers</c>

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those cohorts so these are new customers
 

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those cohorts so these are new customers
acquired<00:02:19.879><c> each</c><00:02:20.160><c> of</c><00:02:20.319><c> these</c><00:02:20.519><c> months</c>

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acquired each of these months
 

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acquired each of these months
essentially<00:02:22.200><c> um</c><00:02:22.560><c> and</c><00:02:22.720><c> I've</c><00:02:23.040><c> removed</c><00:02:23.599><c> their</c><00:02:24.080><c> so</c>

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essentially um and I've removed their so
 

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essentially um and I've removed their so
they<00:02:24.280><c> have</c><00:02:24.560><c> a</c><00:02:24.680><c> physical</c><00:02:24.959><c> store</c><00:02:25.200><c> as</c><00:02:25.319><c> well</c><00:02:25.440><c> I've</c>

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they have a physical store as well I've
 

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they have a physical store as well I've
removed<00:02:25.959><c> their</c><00:02:26.160><c> physical</c><00:02:26.440><c> store</c><00:02:26.680><c> sales</c><00:02:27.000><c> from</c>

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removed their physical store sales from
 

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removed their physical store sales from
this<00:02:27.319><c> this</c><00:02:27.440><c> is</c><00:02:27.640><c> online</c><00:02:28.000><c> sales</c><00:02:28.319><c> only</c>

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this this is online sales only
 

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this this is online sales only
and<00:02:30.440><c> you'll</c><00:02:30.680><c> notice</c><00:02:30.959><c> that</c><00:02:31.480><c> these</c><00:02:31.640><c> months</c><00:02:31.879><c> are</c>

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and you'll notice that these months are
 

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and you'll notice that these months are
the<00:02:32.280><c> highest</c><00:02:33.280><c> why</c><00:02:33.560><c> well</c><00:02:33.760><c> okay</c><00:02:33.920><c> they're</c><00:02:34.280><c> right</c>

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the highest why well okay they're right
 

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the highest why well okay they're right
before<00:02:34.959><c> Q4</c><00:02:35.959><c> that</c><00:02:36.080><c> is</c><00:02:36.280><c> how</c><00:02:36.480><c> they're</c><00:02:37.080><c> monetizing</c>

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before Q4 that is how they're monetizing
 

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before Q4 that is how they're monetizing
their<00:02:38.080><c> their</c><00:02:38.280><c> list</c><00:02:38.519><c> they're</c><00:02:38.640><c> hitting</c><00:02:38.840><c> their</c>

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their their list they're hitting their
 

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their their list they're hitting their
list<00:02:39.360><c> hard</c><00:02:39.840><c> in</c><00:02:40.360><c> Q4</c><00:02:41.280><c> of</c><00:02:41.440><c> course</c><00:02:41.879><c> like</c><00:02:42.040><c> everyone</c>

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list hard in Q4 of course like everyone
 

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list hard in Q4 of course like everyone
does<00:02:42.720><c> emails</c><00:02:43.319><c> SMS</c><00:02:44.319><c> and</c><00:02:45.239><c> the</c><00:02:45.400><c> people</c><00:02:45.640><c> who</c><00:02:46.000><c> end</c>

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does emails SMS and the people who end
 

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does emails SMS and the people who end
up<00:02:46.319><c> being</c><00:02:46.480><c> worth</c><00:02:46.760><c> the</c><00:02:46.879><c> most</c><00:02:47.080><c> are</c><00:02:47.280><c> not</c><00:02:47.480><c> the</c>

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up being worth the most are not the
 

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up being worth the most are not the
people<00:02:47.920><c> you</c><00:02:48.159><c> acquire</c><00:02:49.080><c> in</c><00:02:49.440><c> Q4</c><00:02:50.280><c> I</c><00:02:50.360><c> should</c><00:02:50.519><c> say</c>

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people you acquire in Q4 I should say
 

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people you acquire in Q4 I should say
November<00:02:51.159><c> December</c><00:02:52.120><c> um</c><00:02:53.000><c> Black</c><00:02:53.239><c> Friday</c><00:02:53.480><c> some</c>

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November December um Black Friday some
 

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November December um Black Friday some
Monday<00:02:54.599><c> holiday</c><00:02:55.599><c> it's</c><00:02:55.920><c> the</c><00:02:56.080><c> people</c><00:02:56.800><c> right</c>

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Monday holiday it's the people right
 

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Monday holiday it's the people right
before<00:02:57.879><c> so</c><00:02:58.319><c> their</c><00:02:58.640><c> Q4</c><00:02:59.440><c> really</c><00:02:59.879><c> starts</c><00:03:00.120><c> in</c>

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before so their Q4 really starts in
 

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before so their Q4 really starts in
August<00:03:01.560><c> and</c><00:03:02.239><c> going</c><00:03:02.480><c> forward</c><00:03:02.879><c> they</c><00:03:03.000><c> can</c>

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August and going forward they can
 

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August and going forward they can
leverage<00:03:03.799><c> this</c><00:03:04.000><c> data</c><00:03:04.840><c> like</c><00:03:05.200><c> okay</c><00:03:05.799><c> I</c><00:03:06.000><c> know</c><00:03:06.480><c> that</c>

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leverage this data like okay I know that
 

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leverage this data like okay I know that
these<00:03:06.879><c> people</c><00:03:07.040><c> are</c><00:03:07.159><c> going</c><00:03:07.239><c> to</c><00:03:07.319><c> be</c><00:03:07.480><c> worth</c><00:03:07.840><c> a</c><00:03:08.040><c> lot</c>

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these people are going to be worth a lot
 

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these people are going to be worth a lot
more<00:03:08.400><c> to</c><00:03:08.599><c> me</c><00:03:09.440><c> especially</c><00:03:10.040><c> September</c><00:03:10.959><c> and</c><00:03:11.280><c> more</c>

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more to me especially September and more
 

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more to me especially September and more
so<00:03:11.840><c> October</c><00:03:12.760><c> so</c><00:03:13.519><c> I</c><00:03:13.640><c> am</c><00:03:13.799><c> willing</c><00:03:14.280><c> you</c><00:03:14.360><c> know</c><00:03:14.560><c> we</c>

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so October so I am willing you know we
 

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so October so I am willing you know we
can<00:03:14.799><c> leverage</c><00:03:15.159><c> that</c><00:03:15.280><c> 90-day</c><00:03:15.920><c> lifetime</c><00:03:16.360><c> value</c>

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can leverage that 90-day lifetime value
 

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can leverage that 90-day lifetime value
or<00:03:16.840><c> 60-day</c><00:03:17.319><c> depending</c><00:03:17.560><c> on</c><00:03:17.640><c> which</c><00:03:17.760><c> month</c><00:03:17.920><c> we're</c>

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or 60-day depending on which month we're
 

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or 60-day depending on which month we're
in<00:03:18.640><c> like</c><00:03:19.280><c> and</c><00:03:19.440><c> to</c><00:03:19.560><c> make</c><00:03:19.680><c> sure</c><00:03:19.840><c> we're</c><00:03:20.000><c> keeping</c>

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in like and to make sure we're keeping
 

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in like and to make sure we're keeping
cash<00:03:20.480><c> flow</c><00:03:21.360><c> and</c><00:03:21.480><c> I'm</c><00:03:21.599><c> going</c><00:03:21.720><c> to</c><00:03:21.840><c> spend</c><00:03:22.080><c> more</c><00:03:22.319><c> to</c>

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cash flow and I'm going to spend more to
 

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cash flow and I'm going to spend more to
acquire<00:03:22.840><c> them</c><00:03:23.239><c> because</c><00:03:23.400><c> I</c><00:03:23.519><c> know</c><00:03:24.159><c> fire</c><00:03:24.720><c> you</c>

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acquire them because I know fire you
 

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acquire them because I know fire you
know<00:03:25.000><c> I</c><00:03:25.080><c> want</c><00:03:25.159><c> to</c><00:03:25.280><c> acquire</c><00:03:25.640><c> as</c><00:03:25.760><c> many</c><00:03:25.920><c> people</c><00:03:26.120><c> in</c>

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know I want to acquire as many people in
 

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know I want to acquire as many people in
these<00:03:26.360><c> months</c><00:03:26.599><c> as</c><00:03:26.720><c> possible</c><00:03:27.000><c> because</c><00:03:27.120><c> I</c><00:03:27.200><c> know</c>

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these months as possible because I know
 

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these months as possible because I know
they're<00:03:27.440><c> going</c><00:03:27.519><c> to</c><00:03:27.560><c> be</c><00:03:27.720><c> worth</c><00:03:27.959><c> more</c><00:03:28.920><c> from</c><00:03:29.239><c> when</c>

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they're going to be worth more from when
 

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they're going to be worth more from when
they<00:03:29.519><c> buy</c><00:03:29.879><c> again</c><00:03:30.200><c> in</c><00:03:30.640><c> November</c><00:03:31.040><c> and</c><00:03:31.159><c> December</c>

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they buy again in November and December
 

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they buy again in November and December
and<00:03:31.840><c> we</c><00:03:31.959><c> could</c><00:03:32.080><c> see</c><00:03:32.319><c> that</c><00:03:33.000><c> so</c><00:03:33.599><c> this</c><00:03:33.760><c> is</c>

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and we could see that so this is
 

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and we could see that so this is
November<00:03:34.959><c> December</c><00:03:35.319><c> for</c><00:03:35.720><c> August</c><00:03:36.120><c> cohort</c><00:03:36.760><c> this</c>

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November December for August cohort this
 

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November December for August cohort this
is<00:03:37.000><c> November</c><00:03:37.360><c> December</c><00:03:37.680><c> for</c><00:03:37.920><c> the</c><00:03:38.080><c> September</c>

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is November December for the September
 

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is November December for the September
and<00:03:39.000><c> then</c><00:03:39.280><c> for</c><00:03:39.400><c> the</c><00:03:39.560><c> October</c><00:03:39.920><c> cohort</c><00:03:40.680><c> you</c><00:03:40.840><c> see</c>

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and then for the October cohort you see
 

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and then for the October cohort you see
they<00:03:41.159><c> each</c><00:03:41.360><c> go</c><00:03:41.560><c> up</c><00:03:42.080><c> pretty</c><00:03:42.480><c> nicely</c><00:03:43.480><c> now</c><00:03:43.640><c> you</c>

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they each go up pretty nicely now you
 

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they each go up pretty nicely now you
think<00:03:43.920><c> it's</c><00:03:44.120><c> just</c><00:03:44.280><c> only</c><00:03:44.519><c> a</c><00:03:44.680><c> few</c><00:03:45.400><c> few</c><00:03:45.760><c> dollars</c>

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think it's just only a few few dollars
 

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think it's just only a few few dollars
you<00:03:46.200><c> take</c><00:03:46.400><c> that</c><00:03:46.599><c> times</c><00:03:46.799><c> the</c><00:03:46.959><c> number</c><00:03:47.200><c> of</c><00:03:47.360><c> people</c>

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you take that times the number of people
 

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you take that times the number of people
they<00:03:47.799><c> acquired</c><00:03:48.200><c> that</c><00:03:48.360><c> month</c><00:03:49.319><c> uh</c><00:03:49.519><c> and</c><00:03:49.680><c> then</c><00:03:49.840><c> all</c>

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they acquired that month uh and then all
 

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they acquired that month uh and then all
of<00:03:50.040><c> a</c><00:03:50.159><c> sudden</c><00:03:50.920><c> you</c><00:03:51.080><c> know</c><00:03:51.519><c> $3</c><00:03:52.319><c> difference</c><00:03:53.040><c> per</c>

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of a sudden you know $3 difference per
 

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of a sudden you know $3 difference per
you<00:03:54.079><c> know</c><00:03:54.280><c> put</c><00:03:54.439><c> in</c><00:03:54.560><c> a</c><00:03:54.680><c> th000</c><00:03:54.959><c> customers</c><00:03:55.400><c> you</c>

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you know put in a th000 customers you
 

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you know put in a th000 customers you
know

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know
 

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know
$3,000<00:03:57.120><c> um</c><00:03:57.519><c> that's</c><00:03:57.680><c> a</c><00:03:57.920><c> made</c><00:03:58.120><c> of</c><00:03:58.280><c> number</c>

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$3,000 um that's a made of number
 

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$3,000 um that's a made of number
obviously<00:03:59.040><c> but</c><00:03:59.360><c> you</c><00:03:59.480><c> get</c><00:03:59.879><c> the</c><00:04:00.040><c> idea</c><00:04:00.640><c> and</c><00:04:00.720><c> it's</c>

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obviously but you get the idea and it's
 

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obviously but you get the idea and it's
like<00:04:01.319><c> those</c><00:04:01.560><c> can</c><00:04:01.720><c> end</c><00:04:01.840><c> up</c><00:04:02.000><c> being</c><00:04:02.239><c> a</c><00:04:02.319><c> lot</c><00:04:02.439><c> bigger</c>

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like those can end up being a lot bigger
 

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like those can end up being a lot bigger
numbers<00:04:02.959><c> or</c><00:04:03.120><c> if</c><00:04:03.200><c> you</c><00:04:03.439><c> required</c><00:04:04.439><c> 10,000</c><00:04:05.040><c> people</c>

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numbers or if you required 10,000 people
 

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numbers or if you required 10,000 people
that<00:04:05.480><c> month</c><00:04:05.959><c> then</c><00:04:06.159><c> that's</c><00:04:06.760><c> a</c><00:04:06.840><c> lot</c><00:04:07.000><c> more</c><00:04:07.200><c> 30,000</c>

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that month then that's a lot more 30,000
 

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that month then that's a lot more 30,000
so<00:04:09.439><c> that's</c><00:04:09.680><c> the</c><00:04:09.920><c> kind</c><00:04:10.040><c> of</c><00:04:10.239><c> thing</c><00:04:10.640><c> where</c><00:04:11.159><c> even</c>

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so that's the kind of thing where even
 

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so that's the kind of thing where even
just<00:04:11.680><c> a</c><00:04:11.920><c> snapshot</c><00:04:12.519><c> like</c><00:04:12.720><c> this</c><00:04:13.040><c> we</c><00:04:13.280><c> we</c><00:04:13.400><c> looked</c>

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just a snapshot like this we we looked
 

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just a snapshot like this we we looked
at<00:04:13.760><c> this</c><00:04:13.879><c> in</c><00:04:14.319><c> 15</c><00:04:14.720><c> minutes</c><00:04:15.120><c> 1015</c><00:04:15.680><c> minutes</c><00:04:15.959><c> we're</c>

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at this in 15 minutes 1015 minutes we're
 

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at this in 15 minutes 1015 minutes we're
like<00:04:17.160><c> we</c><00:04:17.280><c> should</c><00:04:17.440><c> be</c><00:04:17.519><c> spending</c><00:04:17.840><c> a</c><00:04:18.000><c> lot</c><00:04:18.160><c> more</c>

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like we should be spending a lot more
 

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like we should be spending a lot more
money<00:04:18.560><c> in</c><00:04:18.759><c> these</c><00:04:19.040><c> months</c><00:04:20.040><c> and</c><00:04:20.680><c> what</c><00:04:20.799><c> we</c><00:04:20.959><c> did</c><00:04:21.519><c> we</c>

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money in these months and what we did we
 

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money in these months and what we did we
even<00:04:21.840><c> broke</c><00:04:22.040><c> it</c><00:04:22.160><c> down</c><00:04:22.360><c> further</c><00:04:23.120><c> and</c><00:04:23.280><c> we</c><00:04:23.400><c> did</c><00:04:23.520><c> it</c>

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even broke it down further and we did it
 

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even broke it down further and we did it
for<00:04:23.840><c> their</c><00:04:24.280><c> shirts</c><00:04:25.280><c> all</c><00:04:25.479><c> these</c><00:04:25.639><c> numbers</c><00:04:26.400><c> went</c>

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for their shirts all these numbers went
 

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for their shirts all these numbers went
up<00:04:26.880><c> when</c><00:04:27.000><c> we</c><00:04:27.160><c> did</c><00:04:27.400><c> their</c><00:04:27.680><c> shirts</c><00:04:28.680><c> um</c><00:04:28.800><c> because</c>

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up when we did their shirts um because
 

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up when we did their shirts um because
they<00:04:29.039><c> have</c><00:04:29.199><c> shirts</c><00:04:29.520><c> and</c><00:04:29.800><c> they</c><00:04:29.960><c> have</c><00:04:30.240><c> hats</c><00:04:30.520><c> and</c>

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they have shirts and they have hats and
 

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they have shirts and they have hats and
some<00:04:30.960><c> other</c><00:04:31.199><c> stuff</c><00:04:31.520><c> and</c><00:04:32.320><c> uh</c><00:04:32.680><c> I</c><00:04:32.759><c> won't</c><00:04:32.960><c> go</c><00:04:33.039><c> into</c>

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some other stuff and uh I won't go into
 

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some other stuff and uh I won't go into
the<00:04:33.320><c> details</c><00:04:33.720><c> but</c><00:04:34.520><c> the</c><00:04:34.639><c> shirts</c><00:04:34.960><c> were</c><00:04:35.160><c> the</c><00:04:35.320><c> ones</c>

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the details but the shirts were the ones
 

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the details but the shirts were the ones
that<00:04:35.840><c> had</c><00:04:36.240><c> the</c><00:04:36.400><c> best</c><00:04:36.880><c> ltvs</c><00:04:37.880><c> and</c><00:04:38.080><c> follow</c><00:04:38.400><c> the</c>

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that had the best ltvs and follow the
 

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that had the best ltvs and follow the
same<00:04:38.759><c> Trend</c><00:04:39.360><c> like</c><00:04:39.639><c> okay</c><00:04:40.039><c> well</c><00:04:40.320><c> not</c><00:04:40.479><c> only</c><00:04:40.759><c> do</c><00:04:40.960><c> we</c>

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same Trend like okay well not only do we
 

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same Trend like okay well not only do we
want<00:04:41.360><c> to</c><00:04:42.360><c> pump</c><00:04:42.600><c> a</c><00:04:42.680><c> bunch</c><00:04:42.840><c> of</c><00:04:42.960><c> money</c><00:04:43.240><c> and</c><00:04:43.400><c> try</c><00:04:43.560><c> to</c>

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want to pump a bunch of money and try to
 

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want to pump a bunch of money and try to
even<00:04:44.160><c> take</c><00:04:44.400><c> maybe</c><00:04:44.639><c> a</c><00:04:44.800><c> loss</c><00:04:45.039><c> or</c><00:04:45.199><c> a</c><00:04:45.320><c> lower</c><00:04:46.280><c> uh</c>

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even take maybe a loss or a lower uh
 

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even take maybe a loss or a lower uh
Blended<00:04:46.880><c> Rass</c><00:04:47.360><c> these</c><00:04:47.720><c> months</c><00:04:48.720><c> uh</c><00:04:48.840><c> to</c><00:04:49.000><c> acquire</c>

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Blended Rass these months uh to acquire
 

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Blended Rass these months uh to acquire
more<00:04:49.759><c> customers</c><00:04:50.759><c> but</c><00:04:51.400><c> we</c><00:04:51.600><c> also</c><00:04:51.800><c> want</c><00:04:51.919><c> to</c><00:04:52.039><c> make</c>

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more customers but we also want to make
 

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more customers but we also want to make
sure<00:04:52.360><c> it's</c><00:04:52.479><c> more</c><00:04:52.680><c> focused</c><00:04:53.039><c> on</c><00:04:53.160><c> the</c><00:04:53.240><c> shirts</c>

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sure it's more focused on the shirts
 

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sure it's more focused on the shirts
because<00:04:54.280><c> those</c><00:04:54.479><c> people</c><00:04:54.720><c> come</c><00:04:54.919><c> back</c><00:04:55.120><c> have</c><00:04:55.199><c> a</c>

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because those people come back have a
 

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because those people come back have a
better<00:04:55.560><c> experience</c><00:04:56.120><c> buy</c><00:04:56.639><c> more</c><00:04:57.639><c> so</c><00:04:58.240><c> that's</c>

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better experience buy more so that's
 

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better experience buy more so that's
something<00:05:00.039><c> in</c><00:05:00.960><c> 15</c><00:05:01.360><c> minutes</c><00:05:01.919><c> you</c><00:05:02.039><c> go</c><00:05:02.240><c> look</c><00:05:02.360><c> at</c>

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something in 15 minutes you go look at
 

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something in 15 minutes you go look at
this<00:05:02.600><c> coh</c><00:05:02.800><c> holder</c><00:05:03.000><c> analysis</c><00:05:03.759><c> you</c><00:05:03.880><c> can</c><00:05:04.000><c> kind</c><00:05:04.120><c> of</c>

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this coh holder analysis you can kind of
 

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this coh holder analysis you can kind of
see<00:05:04.360><c> what</c><00:05:04.440><c> does</c><00:05:04.560><c> that</c><00:05:04.720><c> look</c><00:05:04.880><c> like</c><00:05:05.000><c> for</c><00:05:05.400><c> you</c><00:05:06.400><c> are</c>

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see what does that look like for you are
 

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see what does that look like for you are
there<00:05:06.800><c> certain</c><00:05:07.080><c> months</c><00:05:07.479><c> where</c><00:05:08.039><c> you</c><00:05:08.199><c> know</c><00:05:08.720><c> your</c>

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there certain months where you know your
 

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there certain months where you know your
ltvs<00:05:10.240><c> are</c><00:05:10.960><c> better</c><00:05:11.960><c> and</c><00:05:12.080><c> then</c><00:05:12.280><c> we</c><00:05:12.560><c> proved</c><00:05:12.880><c> this</c>

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ltvs are better and then we proved this
 

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ltvs are better and then we proved this
but<00:05:13.160><c> went</c><00:05:13.400><c> look</c><00:05:13.759><c> in</c><00:05:14.160><c> 2020</c><00:05:14.680><c> so</c><00:05:14.800><c> we</c><00:05:14.880><c> were</c><00:05:15.000><c> looking</c>

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but went look in 2020 so we were looking
 

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but went look in 2020 so we were looking
in<00:05:15.280><c> 2024</c><00:05:16.120><c> look</c><00:05:16.240><c> at</c><00:05:16.479><c> 2023</c><00:05:17.479><c> the</c><00:05:17.639><c> trend</c><00:05:17.919><c> was</c>

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in 2024 look at 2023 the trend was
 

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in 2024 look at 2023 the trend was
consistent<00:05:19.400><c> um</c><00:05:19.759><c> so</c><00:05:20.160><c> that's</c><00:05:20.319><c> just</c><00:05:20.479><c> something</c>

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consistent um so that's just something
 

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consistent um so that's just something
you<00:05:21.160><c> can</c><00:05:21.360><c> use</c><00:05:21.960><c> look</c><00:05:22.160><c> at</c><00:05:22.280><c> this</c><00:05:22.440><c> cohort</c><00:05:22.880><c> analysis</c>

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you can use look at this cohort analysis
 

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you can use look at this cohort analysis
and<00:05:23.479><c> kind</c><00:05:23.600><c> of</c><00:05:23.720><c> see</c><00:05:23.880><c> how</c><00:05:24.000><c> you</c><00:05:24.120><c> can</c><00:05:24.360><c> leverage</c><00:05:24.759><c> it</c>

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and kind of see how you can leverage it
 

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and kind of see how you can leverage it
now<00:05:25.360><c> there's</c><00:05:25.560><c> other</c><00:05:25.759><c> ways</c><00:05:25.919><c> you</c><00:05:26.000><c> can</c><00:05:26.160><c> do</c><00:05:26.280><c> it</c><00:05:26.720><c> buy</c>

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now there's other ways you can do it buy
 

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now there's other ways you can do it buy
product<00:05:27.479><c> is</c><00:05:27.600><c> a</c><00:05:27.840><c> great</c><00:05:28.160><c> way</c><00:05:28.800><c> um</c><00:05:29.000><c> and</c><00:05:29.120><c> you</c><00:05:29.199><c> know</c>

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product is a great way um and you know
 

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product is a great way um and you know
you<00:05:29.759><c> in</c><00:05:29.880><c> the</c><00:05:29.960><c> filters</c><00:05:30.720><c> uh</c><00:05:30.800><c> first</c><00:05:31.080><c> sale</c><00:05:31.360><c> is</c><00:05:31.560><c> by</c><00:05:31.840><c> X</c>

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you in the filters uh first sale is by X
 

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you in the filters uh first sale is by X
product<00:05:32.800><c> or</c><00:05:33.039><c> has</c><00:05:33.199><c> the</c><00:05:33.440><c> title</c><00:05:33.800><c> it</c><00:05:33.960><c> contains</c><00:05:34.960><c> XYZ</c>

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product or has the title it contains XYZ
 

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product or has the title it contains XYZ
so<00:05:36.520><c> those</c><00:05:36.680><c> are</c><00:05:36.840><c> some</c><00:05:37.080><c> great</c><00:05:37.319><c> ways</c><00:05:37.840><c> to</c><00:05:38.560><c> use</c><00:05:38.800><c> this</c>

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so those are some great ways to use this
 

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so those are some great ways to use this
cohort<00:05:39.440><c> analysis</c><00:05:40.199><c> to</c><00:05:40.759><c> leverage</c><00:05:41.759><c> times</c><00:05:42.039><c> of</c><00:05:42.199><c> the</c>

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cohort analysis to leverage times of the
 

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cohort analysis to leverage times of the
year<00:05:43.240><c> to</c><00:05:43.520><c> in</c><00:05:43.639><c> your</c><00:05:43.759><c> favor</c><00:05:44.120><c> to</c><00:05:44.240><c> help</c><00:05:44.639><c> grow</c><00:05:44.960><c> and</c>

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year to in your favor to help grow and
 

00:05:45.120 --> 00:05:47.710 align:start position:0%
year to in your favor to help grow and
scale<00:05:45.440><c> the</c><00:05:45.560><c> business</c><00:05:46.319><c> and</c><00:05:46.680><c> still</c><00:05:47.400><c> be</c>

00:05:47.710 --> 00:05:47.720 align:start position:0%
scale the business and still be
 

00:05:47.720 --> 00:05:50.720 align:start position:0%
scale the business and still be
profitable

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