Jason & Scot Show

Hosted ByJason Goldberg & Scot Wingo

Join hosts Jason “Retailgeek” Goldberg, Chief Commerce Strategy Officer at Publicis, and Scot Wingo, CEO of GetSpiffy and Founder and Executive Chairman of Channel Advisor, as they discuss the latest news and trends in the world of e-commerce and digital shopper marketing.

The Jason & Scot Show | EP354 – Amazon Q3: Ads Slow, AWS Sells Out, and AFS Takes Over

Jason & Scot Show
Jason & Scot Show
The Jason & Scot Show | EP354 - Amazon Q3: Ads Slow, AWS Sells Out, and AFS Takes Over
Loading
/

Episode 354 of The Jason & Scot Show is all earnings. Jason “Retailgeek” Goldberg and Scot Wingo break down Amazon’s Q3, Google’s Q3, and DoorDash’s acquisition of Instacart, which Jason sees as an infrastructure play to power DashMart.

They cover why Google’s search queries went up while search revenue slowed, the Wall Street “Muse Mania” around Meta’s shopping agent, AWS selling out its capacity while promising 40%+ growth in ’27 and ’28, and how Amazon’s grocery and everyday essentials push is changing its mix. Andy Jassy also takes a not-so-subtle shot at Walmart.

The big one is Amazon Ads. Analysts expected 18% growth and got 12%. Add Q2 and Q3 together to cancel out the Prime Day shift and ads still slowed from 22% to 19%, with 17% guided for Q4. Jason’s theory: the agent hurting Amazon’s ad business isn’t Muse or ChatGPT. It’s Alexa for Shopping, Amazon’s own agent, which carries far fewer ads than traditional search.

Enjoy the show.

http://jasonandscot.com

Join your hosts Jason “Retailgeek” Goldberg, Chief Commerce Strategy Officer at Publicis, and Scot Wingo, CEO of ReFiBuy.AI and Co-Founder of ChannelAdvisor as they discuss the latest news and trends in the world of e-commerce and digital shopper marketing.

WEBVTT

00:00:01.300 –> 00:00:06.920
Welcome to the Jason and Scot Show, your source for the latest news and trends

00:00:06.920 –> 00:00:08.530
in the e-commerce industry.

00:00:08.640 –> 00:00:13.750
Featuring hosts Jason Retail Geek Goldberg, Chief Commerce Strategy Officer

00:00:13.750 –> 00:00:18.960
of Publicis, and Scot Wingo, co-founder and CEO of ReFiBuy.

00:00:19.280 –> 00:00:21.700
Here are Jason and Scot.

00:00:22.700 –> 00:00:31.560
Welcome to the Jason and Scot Show. This is episode 354 being recorded on Friday, October 30th, 2026.

00:00:31.860 –> 00:00:37.690
I’m your host, Jason Retail Geek Goldberg, and as usual, I’m here with your co-host, Scot Wingo.

00:00:38.260 –> 00:00:42.530
Hey, Jason, and welcome back, Jason and Scot Show listeners.

00:00:42.990 –> 00:00:48.880
We have an action-packed episode for you today. We have so much going on in

00:00:48.880 –> 00:00:50.480
the worlds that we follow.

00:00:50.800 –> 00:00:55.860
We’ve got Instacart and DoorDash merging. We have Amazon Q3.

00:00:56.580 –> 00:01:03.040
We’ve got Google Q3. We’ve got, what’s other big news? We’ve got new MacBooks to talk about.

00:01:03.363 –> 00:01:07.350
Rest in peace, Patrick Stewart. I was disappointed. Yeah, that was sad. Yeah.

00:01:08.090 –> 00:01:13.110
Yeah, but we’ll get to see him in Doomsday. So that’ll be our last goodbye. Indeed, indeed.

00:01:13.850 –> 00:01:18.050
But most importantly, Jason, you and I love some gadgets. Did you order a new MacBook?

00:01:18.260 –> 00:01:21.760
No, and I have. You’re going to be able to touch the screen, dude.

00:01:21.760 –> 00:01:26.090
I have some gadget envy because I did not, and I feel like you did,

00:01:26.759 –> 00:01:29.169
and that does make it hard for me.

00:01:29.169 –> 00:01:33.749
But in the highly unlikely event that my wife is listening to this podcast,

00:01:33.749 –> 00:01:37.499
I want her to hear that I was being somewhat fiscally irresponsible.

00:01:37.719 –> 00:01:41.759
And if my laptop just magically looks more shiny, it’s because I recently washed it.

00:01:42.540 –> 00:01:46.050
Yeah, and I don’t think you were pulled into the iPhone Duo either.

00:01:46.050 –> 00:01:47.940
So you’ve been on really good behavior.

00:01:49.640 –> 00:01:52.960
I did not Duo, but I did get a new iPhone. which I feel like you did not.

00:01:52.960 –> 00:01:55.410
So I feel like, yeah. Yeah.

00:01:56.600 –> 00:02:01.900
Yeah, we’re trading. I’ve been patiently waiting on the computer piece for a while.

00:02:01.900 –> 00:02:06.080
I think you and I are a very similar sensibilities. And I think I just have

00:02:06.460 –> 00:02:11.400
a little bit newer laptop than you at the moment. So it would be slightly of

00:02:11.400 –> 00:02:15.330
a more nominal upgrade for me than it is for you. I think that’s the bottom line.

00:02:15.960 –> 00:02:18.230
Yeah, but I can’t wait until we’re together so I can touch my screen.

00:02:18.230 –> 00:02:19.910
Oh, yes, that will sting.

00:02:20.360 –> 00:02:25.490
You’re going to go crazy. You’re going to get tilted. Yeah, we have some similarities

00:02:25.490 –> 00:02:28.330
and some differences. I think the differences might be that it will sting me

00:02:28.330 –> 00:02:29.410
more than it would have stuck.

00:02:32.000 –> 00:02:36.010
Let’s talk about some light reading. Did you pick up the Anthropic S1 and give that a flip?

00:02:36.700 –> 00:02:41.110
Oh, oh, for sure. I actually had Anthropic read the Anthropic S1 for me.

00:02:41.750 –> 00:02:45.379
I think most people did. Yes, the vast majority of people did. Yeah, yeah.

00:02:46.279 –> 00:02:50.609
I feel like the world is so crazy now. Like I’m getting used to some numbers

00:02:50.609 –> 00:02:51.789
I didn’t think I would get used to.

00:02:52.930 –> 00:02:56.309
Yeah. As an entrepreneur, reading that was the most humbling experience of my life.

00:02:57.869 –> 00:03:03.689
It’s like, wow. And then even if I separate my own performance as an entrepreneur,

00:03:03.989 –> 00:03:08.050
and I think about you and I love to study different businesses and business models.

00:03:08.050 –> 00:03:11.550
And we’ve seen in our careers, you know, the rise of you were there in the early

00:03:11.550 –> 00:03:15.310
days of Blockbuster and all that jazz, which was like one era.

00:03:15.310 –> 00:03:19.430
Then we had the Googles and then Amazon and Meta.

00:03:20.059 –> 00:03:24.910
And then now this is It’s just like this whole other, just like the speed,

00:03:24.910 –> 00:03:28.470
the scale, the revenue per employees, like 300 million per employee.

00:03:29.470 –> 00:03:32.420
Everything you look at, it’s just like an incredible business.

00:03:33.129 –> 00:03:37.139
There are, it’s not perfect. There are a lot of things that can go off the rails

00:03:37.139 –> 00:03:40.219
and, you know, we don’t want to have the bubble discussion and all that.

00:03:40.729 –> 00:03:43.829
But if you just like look at it at this moment in time, wow,

00:03:44.509 –> 00:03:45.649
what a business day book.

00:03:46.569 –> 00:03:51.829
Yeah, yeah. I have a feeling we’re going to look back on this era and realize,

00:03:52.679 –> 00:03:58.460
what a special time this is. But even living through it, it kind of feels pretty challenging.

00:03:59.340 –> 00:04:02.780
Yeah, yeah. It’s wild times. Yeah.

00:04:03.580 –> 00:04:08.150
Let’s jump into this. Let’s do a quick travel update. Have you done any international

00:04:08.150 –> 00:04:12.730
travel? We were famously together at Retail Club. We recorded two days straight.

00:04:12.730 –> 00:04:14.520
I think we were both exhausted.

00:04:15.890 –> 00:04:20.819
Yeah yeah that was a long but fun gig yeah listeners and the audience has been

00:04:20.819 –> 00:04:24.739
asking for more content and we have been putting it out i’ve got a lot of favorable

00:04:24.739 –> 00:04:28.369
comments from folks we’re glad you guys are enjoying all the fresh content coming out,

00:04:29.070 –> 00:04:31.130
have you done any interesting gigs since then.

00:04:32.199 –> 00:04:35.979
I have i’ve traveled pretty much every week since then i think i’ve had one

00:04:35.979 –> 00:04:41.679
week at home but no, no, like public events, all, all client stuff.

00:04:42.269 –> 00:04:45.599
But again, pace of change in the world is so fast right now.

00:04:45.599 –> 00:04:49.309
Like, you know, I, I, one of the lucky parts of my job is I work with some pretty

00:04:49.309 –> 00:04:53.049
interesting clients that are all trying to figure out the same stuff you and

00:04:53.049 –> 00:04:56.709
I are trying to figure out. And it’s, you know, they all have different perspectives.

00:04:56.709 –> 00:04:58.529
So it’s, it’s a fun, fun learning.

00:04:59.249 –> 00:05:03.380
Yeah. Same on my side. A lot of really interesting, I feel like the theme for

00:05:03.380 –> 00:05:05.020
me is, and you’ve written about this.

00:05:05.560 –> 00:05:10.329
So for like the last two years, everyone’s been really into the GEO thing,

00:05:10.329 –> 00:05:13.649
AEO, GEO and all that jazz. And there’s a lot of people that say it’s all different

00:05:13.649 –> 00:05:16.039
and some say it’s the same. I’m not even going to get into that.

00:05:16.559 –> 00:05:21.219
And now everyone’s kind of like, okay, that really didn’t do much.

00:05:21.219 –> 00:05:22.889
I have an AI visibility slide now.

00:05:23.209 –> 00:05:26.510
And it moves all around and I feel like I have no control over it.

00:05:26.510 –> 00:05:29.150
And I’m like just putting out press releases as fast as I can.

00:05:29.980 –> 00:05:35.400
And that’s going to like, so that is stabilized. And maybe the bloom has come off that rose a bit.

00:05:35.790 –> 00:05:39.800
And now everyone’s like, but my products are really jacked up when I look at

00:05:39.800 –> 00:05:42.340
them in this surface and this surface. Why is that happening?

00:05:42.340 –> 00:05:45.100
So everyone, a lot of people are kind of coming around to this idea of like,

00:05:45.340 –> 00:05:48.250
you know, what I call a commerce optimization, which is a layer down.

00:05:48.580 –> 00:05:51.540
So I’ve been traveling. I just got back from New York and I was at this thing

00:05:51.540 –> 00:05:54.530
called the Conference Board where they have, this will sound familiar to you.

00:05:54.530 –> 00:05:56.860
It reminded me a lot of NRF. They have these different councils.

00:05:57.256 –> 00:06:01.459
They did a combined council around this topic, and I was one of the speakers

00:06:01.459 –> 00:06:05.069
at that. So that was a lot of fun. It was a very wide range.

00:06:06.249 –> 00:06:11.959
You get to experience a wide range. I’m usually in one kind of the band of mostly

00:06:11.959 –> 00:06:13.559
retailers, some brands.

00:06:13.940 –> 00:06:16.819
But there were kind of like some B2B companies that are feeling it,

00:06:16.819 –> 00:06:18.879
healthcare companies, insurance companies.

00:06:19.249 –> 00:06:22.549
And then there were a lot of CPG companies. So it was really interesting to

00:06:22.549 –> 00:06:26.879
kind of hear that everyone is feeling this. And it was a very interesting week

00:06:26.879 –> 00:06:29.749
for me because we also had all these earnings. The one we’re not going to spend

00:06:29.749 –> 00:06:30.849
a lot of time on is Reddit.

00:06:31.389 –> 00:06:34.609
And they’re just like cratering because they basically said,

00:06:34.609 –> 00:06:38.139
look, as things move from search engine to answer engine, we’re getting no traffic.

00:06:38.239 –> 00:06:42.699
And they basically said, we get nothing. Every time someone goes into AI mode

00:06:42.699 –> 00:06:44.089
on Google, we get nothing.

00:06:44.769 –> 00:06:48.139
That’s like a literal quote from the CEO. So it’s really interesting because

00:06:48.139 –> 00:06:50.899
people are really starting to feel it right now. Some of the things we’ve been

00:06:50.899 –> 00:06:52.419
talking about in theory.

00:06:53.059 –> 00:06:56.369
So, yeah, so it’s a really interesting time. No, no, no, for sure.

00:06:56.369 –> 00:07:00.889
And like on that, like that particular example, there’s kind of two interesting things.

00:07:00.889 –> 00:07:04.339
There’s a bunch of people that have been talking for a long time about this

00:07:04.339 –> 00:07:06.039
migration to zero click.

00:07:06.039 –> 00:07:09.919
And these are all people that tend not zero click from a commerce standpoint,

00:07:09.919 –> 00:07:14.910
but from a search standpoint that, you know, that like increasingly Google is

00:07:14.910 –> 00:07:19.180
stealing all the attention and keeping it all and not sending it out to the open web.

00:07:19.180 –> 00:07:22.180
Most of these people are kind of anti-Google.

00:07:22.959 –> 00:07:27.449
And like this, this Reddit story is red meat for them because it seems like,

00:07:27.669 –> 00:07:32.279
you know, the first like demonstrable sort of victim of this.

00:07:32.769 –> 00:07:37.719
And then the flip side is you, you mentioned all the hype, the annoying hype, I would argue about GEO.

00:07:38.610 –> 00:07:42.790
Side note, read my seminal article. GEO is, is probably bullshit,

00:07:42.790 –> 00:07:46.460
but you should do it anyway, is kind of my, my POV on that.

00:07:46.460 –> 00:07:51.160
But like for a long time, all the answers on GEO were you should lean into Reddit,

00:07:51.820 –> 00:07:55.090
which is apparently not alone going to work for you.

00:07:55.850 –> 00:07:59.160
Yeah. Those days may be over. I think Reddit will be just bot traffic of people

00:07:59.160 –> 00:08:01.047
just trying to slurp off the reviews. Yeah.

00:08:01.880 –> 00:08:06.730
Yeah. So I think they’re trying to pivot. They’re blocking the bots and going

00:08:06.730 –> 00:08:10.760
to log in only. And it’ll all be interesting to see how that all plays out.

00:08:11.460 –> 00:08:14.970
I have great empathy for these businesses that are getting disrupted.

00:08:15.770 –> 00:08:18.950
Yeah. And then I think it sets the table for ads.

00:08:18.950 –> 00:08:25.240
And we just came out with a podcast featuring a friend of yours and mine, Kiri Masters.

00:08:25.240 –> 00:08:30.650
And she is our presenting host of that new channel that we have.

00:08:30.650 –> 00:08:34.380
So it’s called Ad, A-D, Gentic, G-E-N-T-I-C.

00:08:34.670 –> 00:08:38.140
Check that out if you want to. It’s kind of, Kiri loves to do the shorter form

00:08:38.140 –> 00:08:40.580
kind of things. Because she’s smarter than you and I?

00:08:41.260 –> 00:08:45.590
Well, I don’t know what’s going on. I think maybe it’s a generational thing

00:08:45.590 –> 00:08:47.320
or maybe it’s a Jason problem.

00:08:47.970 –> 00:08:53.080
And it’s hard. So these are more snack size. If you like your 15 minute pods, Kiri is your gal.

00:08:53.460 –> 00:08:56.350
Otherwise you get, you’re stuck with, I think we’re going to do four hours on

00:08:56.350 –> 00:08:58.990
this one, Jason. You’re stuck with- I was going to ask you what you think the

00:08:58.990 –> 00:09:01.360
over-under is for this episode. Yeah.

00:09:03.480 –> 00:09:07.999
I’m thrilled that Kiri’s in the network. I feel like you are my agentic maximalist,

00:09:09.039 –> 00:09:12.409
in my network and Kiri is my advertising maximalist.

00:09:12.685 –> 00:09:18.190
So it’s kind of fun because I’m pretty convinced that you’re both a little too extreme. So it’s fun.

00:09:19.420 –> 00:09:25.960
That’s what makes it interesting is extreme, extreme perspectives help you think about it.

00:09:27.069 –> 00:09:31.259
At the risk of making this this episode even longer, I had a fun moment this

00:09:31.259 –> 00:09:36.939
week on LinkedIn because I I successfully I feel like I picked a fight with

00:09:37.249 –> 00:09:39.369
with you and our friend Andrew Lipson.

00:09:39.369 –> 00:09:44.389
And I I successfully painted both of you as loony extremists and me as the pragmatic,

00:09:44.729 –> 00:09:49.199
reasonable person in the middle, which is not anyone else’s perspective, but it’s fun.

00:09:49.519 –> 00:09:52.489
Yeah, you left a total trap for yourself, though, because you were talking about

00:09:52.489 –> 00:09:55.709
your prediction skills. And I was like, oh, boy. I was already ready.

00:09:56.029 –> 00:09:58.519
I was ready. I have data on this one, buddy.

00:09:59.689 –> 00:10:02.559
I have more. And mine agrees with yours. But yeah.

00:10:03.449 –> 00:10:09.880
Yeah. Okay. So one thing I have been dying to hear is your perspective on what

00:10:09.880 –> 00:10:11.520
is going on with DoorDash.

00:10:11.520 –> 00:10:15.240
So we’ve got food delivery and grocery delivery, getting married.

00:10:15.240 –> 00:10:19.290
So DoorDash is acquiring Instacart. What’s the Jason take on this?

00:10:20.170 –> 00:10:27.410
Yeah yeah so this is big news in in my world this week the sadly i i think we

00:10:27.410 –> 00:10:33.570
were so busy we didn’t record a prediction show this january is that your recollection as well.

00:10:34.910 –> 00:10:39.540
I remember we wanted to. Yes, I think we did not. I probably wrote one,

00:10:39.540 –> 00:10:40.670
but we didn’t lay it down.

00:10:41.040 –> 00:10:44.169
Yeah. And so I don’t think either was- You can retcon and say,

00:10:44.169 –> 00:10:45.209
this was your prediction.

00:10:45.579 –> 00:10:49.500
Yes, yes. I don’t think either was predicted it, but I did go back and I feel

00:10:49.500 –> 00:10:52.850
like I predicted Instacart getting acquired about six times on the show.

00:10:53.850 –> 00:10:57.190
You’ve always been of the stance. I can bear about that you’ve been of the stance.

00:10:57.190 –> 00:11:01.490
Yeah, and I’ve talked a lot about like, they’re going to end up being an infrastructure

00:11:01.490 –> 00:11:06.232
company and that they’re kind of the GSI commerce of grocery, right?

00:11:06.866 –> 00:11:11.270
Meaning they helped a bunch of people early on before they brought the capabilities

00:11:11.270 –> 00:11:17.243
in-house and they had to pivot once the biggest players all got good at e-commerce on their own.

00:11:17.590 –> 00:11:20.630
And I feel like that’s what we’re seeing with Instacart.

00:11:20.970 –> 00:11:25.551
There is a narrative that Instacart was shrinking and that the acquisition was

00:11:25.920 –> 00:11:32.440
a shotgun winning. Actually, that’s not true. Like Instacart is actually growing.

00:11:33.819 –> 00:11:35.259
The challenge is…

00:11:37.089 –> 00:11:39.809
Like the business is transforming, right? Like that, you know,

00:11:39.809 –> 00:11:43.419
they started out being able to serve these biggest, biggest retailers in the industry.

00:11:43.419 –> 00:11:48.990
They’ve all brought it in-house and Instacart had already started pivoting largely

00:11:48.990 –> 00:11:52.389
to ads and infrastructure to support them.

00:11:52.629 –> 00:11:57.260
And I think what’s happening now is DoorDash buying them is really,

00:11:58.189 –> 00:12:00.209
to me, it’s an infrastructure play.

00:12:00.499 –> 00:12:06.160
DoorDash is their future, not in helping deliver other people’s stuff.

00:12:06.630 –> 00:12:11.000
They see the future as delivering their stuff out of their fulfillment centers

00:12:11.000 –> 00:12:13.970
right these these dash marks and they’ve been,

00:12:14.460 –> 00:12:17.830
totally clear about that that they think from an efficiency standpoint all these orders

00:12:18.270 –> 00:12:21.739
the the speed of service is going up we have to deliver stuff faster it has

00:12:21.739 –> 00:12:26.089
to be more efficient a store designed for browsing and discovery is not a good

00:12:26.089 –> 00:12:29.949
place to pick a grocery order and so their belief is these are all going to

00:12:29.949 –> 00:12:32.829
get fulfilled out of dart stores this,

00:12:33.349 –> 00:12:37.619
model has kind of proven out at Amazon, you know, that have all those sub same

00:12:37.619 –> 00:12:40.179
day delivery stations that look a lot like Dashmarts.

00:12:40.830 –> 00:12:47.060
And so to me, this is about DoorDash buying the infrastructure to execute their Dashmart vision.

00:12:48.109 –> 00:12:51.159
Is what this comes down to. And it’s probably a smart play.

00:12:51.769 –> 00:12:55.739
Grocery is super bifurcated right now. All the traditional grocers are not doing

00:12:55.739 –> 00:12:57.549
well. They’re all flat or negative.

00:12:57.910 –> 00:13:02.069
And three people are winning grocery, Amazon, Walmart, and Costco.

00:13:02.380 –> 00:13:05.679
And so, and Costco is a little bit of a outlier.

00:13:06.649 –> 00:13:13.929
To me, this is DoorDash trying to become a third alternative to Amazon and Walmart.

00:13:14.629 –> 00:13:19.749
And we’ll see how it all plays out. But why it’s super interesting in my world

00:13:19.749 –> 00:13:23.550
is there are a number of grocers that were dependent, Instacart,

00:13:23.550 –> 00:13:24.610
for their infrastructure.

00:13:24.750 –> 00:13:31.080
They’re not just delivery, but that run their website and manage all of their digital marketing.

00:13:31.379 –> 00:13:36.900
And in essence, your infrastructure just got acquired by a competitor that doesn’t

00:13:36.900 –> 00:13:39.650
want to make you more successful that wants to replace you, right?

00:13:39.650 –> 00:13:46.625
And so that’s a big disruption for a lot of these regional grocers that are that are on it.

00:13:46.629 –> 00:13:51.059
Costco is very dependent on Instacart. Aldi is very dependent on Instacart.

00:13:51.059 –> 00:13:55.799
And so that’s a it’s a big moment when they found out about this this acquisition.

00:13:56.101 –> 00:14:00.229
And then Costco just add DoorDash to like have a little bit of separation.

00:14:00.799 –> 00:14:03.999
So Costco is not exclusively on DoorDash.

00:14:04.779 –> 00:14:06.909
They’ve had DoorDash has been their primary provider. They actually.

00:14:06.909 –> 00:14:08.319
Yes. I’m sorry. I’m saying that backwards.

00:14:08.589 –> 00:14:11.609
Instacart’s their primary provider. They added DoorDash and Uber Eats,

00:14:11.609 –> 00:14:14.629
by the way. So they still are slightly diversified. Yeah.

00:14:14.929 –> 00:14:20.209
All the, it moved like literally a couple of months ago to a hundred percent Instacart.

00:14:20.860 –> 00:14:22.700
And so superficially you go,

00:14:22.700 –> 00:14:28.490
ooh, that’s not a good moment. The one huge caveat in all these cases is.

00:14:29.639 –> 00:14:34.089
Aldi mainly sells stuff that only Aldi makes. And so, like, in a way,

00:14:34.089 –> 00:14:38.239
they’re insulated from this. If you’re mainly selling CPG, national branded

00:14:38.239 –> 00:14:41.747
products, like relying on Instacart

00:14:41.750 –> 00:14:44.460
as your infrastructure is probably not going to be a good place to be.

00:14:45.379 –> 00:14:50.809
Costco and Aldi, while they use a lot of Instacart, they sell a lot of Kirkland

00:14:50.809 –> 00:14:56.119
and Aldi products. So they’re somewhat protected from that.

00:14:56.499 –> 00:14:59.329
So it’s going to be interesting how all that plays out.

00:14:59.729 –> 00:15:04.409
And of course, as an advertising platform, this has even become,

00:15:04.409 –> 00:15:05.509
it was already important.

00:15:05.509 –> 00:15:08.699
It was probably the third most important grocery advertising platform,

00:15:08.699 –> 00:15:10.379
and now it’s going to be even more important.

00:15:10.379 –> 00:15:15.170
So if you’re a CPG trying to get visibility, like there’s a way in which,

00:15:15.840 –> 00:15:19.600
it you instacart used to be double counting right because you were selling to

00:15:19.600 –> 00:15:25.560
hyvee and to instacart and you know one order went to both right but now you know,

00:15:26.379 –> 00:15:30.349
this is potentially a third new customer for the cpgs it potentially,

00:15:31.400 –> 00:15:35.270
is a market expansion and what tends to happen is when this new distribution

00:15:35.270 –> 00:15:38.040
channel emergence that was in no one’s business plan at the beginning of the

00:15:38.040 –> 00:15:42.280
year it’s all incremental right like if they can get a order to fill all those dash marks.

00:15:43.819 –> 00:15:48.499
From this combined entity, that’s incremental sales that they didn’t forecast last year.

00:15:49.299 –> 00:15:53.710
Yeah. How much of this, so you think this was largely a reaction to,

00:15:54.000 –> 00:15:58.060
oh my gosh, we’re kind of out here and we’re small. We need to bulk up to kind of get into the game.

00:15:58.120 –> 00:16:00.980
Yeah, and I think they were dependent on a lot of grocers that weren’t going

00:16:00.980 –> 00:16:07.909
to succeed with or without them that were losing huge share of wallet to Amazon and Walmart.

00:16:08.600 –> 00:16:12.320
And they needed to muscle up to compete.

00:16:12.320 –> 00:16:17.170
And there’s a digital divide opening up in grocery and they desperately want

00:16:17.170 –> 00:16:19.630
to be on the winning side of that divide, not on the losing side.

00:16:19.630 –> 00:16:24.240
And so they are partnering up to give themselves the best chance.

00:16:25.769 –> 00:16:28.990
How much, I think it was interesting because almost at the same time,

00:16:28.990 –> 00:16:32.980
both DoorDash and Instacart came out with agentic commerce offerings.

00:16:33.290 –> 00:16:37.100
Instacart is really good. It’s kind of, it’s called Clementine and I don’t know

00:16:37.100 –> 00:16:39.860
if you’ve played with it or not. It’s A+, it’s a very good little,

00:16:40.210 –> 00:16:42.230
you know, on-site type agent.

00:16:42.880 –> 00:16:48.250
Yeah. It’s a little tricky because I feel like they’re taking a little bit of naming liberties.

00:16:48.610 –> 00:16:52.810
There’s more than one agentic thing in the ecosystem. technically clementine

00:16:52.810 –> 00:16:54.910
is the white labeled agent when you,

00:16:55.530 –> 00:16:59.959
when you use an eight if you’re a third party retailer that have them host their

00:16:59.959 –> 00:17:05.839
site and you want an agent and it it has some nuanced differences between the

00:17:05.839 –> 00:17:08.859
agent that runs on instacart.com for example but,

00:17:09.559 –> 00:17:14.030
but yes they call that that clementine sometimes inconsistently.

00:17:15.639 –> 00:17:20.879
So yeah so it’s all it’s interesting i was assuming you wouldn’t want to talk about these because,

00:17:22.139 –> 00:17:26.539
like one of the, one of the, the big quotable moments was like,

00:17:26.539 –> 00:17:30.999
someone asked them how, you know, if, if the, the third party agents and the,

00:17:31.539 –> 00:17:35.910
you know, potential competitive pressure from, from open AI and Anthropic and,

00:17:35.910 –> 00:17:38.850
and Google was, was one of the impetuses for this merger.

00:17:39.200 –> 00:17:43.800
And, and Tony essentially said like, agentic commonisters immaterial,

00:17:43.800 –> 00:17:46.790
we’ve like in aggregate gotten like 300 orders.

00:17:47.419 –> 00:17:50.339
Yeah, from music and stuff. Yeah. That makes sense.

00:17:50.969 –> 00:17:55.159
Yeah, which not shocking to me, but it’s another data point.

00:17:55.719 –> 00:17:57.829
I have a feeling this narrative will come up in a few hours.

00:17:59.169 –> 00:17:59.629
Yeah.

00:18:01.709 –> 00:18:04.689
A lot of people use that and they’re kind of like, boom, Agenda Commerce is

00:18:04.689 –> 00:18:09.109
nothing. Spike the ball. But again, it comes back to the definitional thing.

00:18:09.649 –> 00:18:13.379
I think if Agenda Commerce erodes Discovery and owns that layer,

00:18:14.089 –> 00:18:16.569
that’s pretty disruptive.

00:18:16.859 –> 00:18:21.179
Yeah. And of course it, it, it spoils the tension, but you and I, I think mostly agree.

00:18:21.609 –> 00:18:25.149
Like most of these arguments are about like how strict your definition is.

00:18:25.149 –> 00:18:29.059
Right. And he was very specifically, I think, responding to a muse question.

00:18:29.059 –> 00:18:34.329
Right. So it was like, is the meta agent coming and, and shopping?

00:18:34.649 –> 00:18:37.949
And, you know, he was like, that, that has not been very big.

00:18:37.949 –> 00:18:43.199
Like, I, and again, I, I think you and I both see the potential in those agents in the long run.

00:18:43.199 –> 00:18:46.099
I would not look at their small size now and conclude that they’re always going

00:18:46.099 –> 00:18:50.162
to be small i think there’s lots of paths for them to be very meaningful but

00:18:50.259 –> 00:18:52.709
like i i’m well aware that they’re,

00:18:53.299 –> 00:18:57.129
they’re minuscule at the moment and i would argue like not even good enough

00:18:57.129 –> 00:18:58.699
to be a minimum viable product yet,

00:18:59.379 –> 00:19:01.279
some yeah the.

00:19:02.929 –> 00:19:06.389
You’re more tolerant than i am i’m not really sure that they’re able to track

00:19:06.389 –> 00:19:11.479
it because frequently like i just ordered yes also as you you you correctly

00:19:11.479 –> 00:19:12.969
like would point out like they they,

00:19:13.999 –> 00:19:17.799
in the in the event that some of this is working well they wouldn’t actually

00:19:17.799 –> 00:19:21.800
know although they’re you know they’re they’re certainly paying traffic monitoring

00:19:21.800 –> 00:19:26.080
services that claim to identify the bot traffic i think you’ve had one on on retail jantic,

00:19:26.699 –> 00:19:30.639
yeah yeah yeah there’s like human instinct like and of course just,

00:19:31.359 –> 00:19:36.580
just human oh human and then like cloud flare certainly cloud flare yeah yeah

00:19:36.580 –> 00:19:39.699
there’s a design of these yeah so they they There’s all kinds of these things.

00:19:39.699 –> 00:19:41.919
I tend to tell you, but there’s, again, there’s so many kind of bots at the

00:19:41.919 –> 00:19:44.159
moment, and they can do some and not do some.

00:19:44.159 –> 00:19:49.019
I can tell you the big retailers have been like black hat teams and white hat

00:19:49.019 –> 00:19:53.069
teams with all these bots scraping each other for a long time before Ageantic

00:19:53.069 –> 00:19:58.159
and with Nick’s success. So it’s like not surprising that the way better bot

00:19:58.159 –> 00:19:59.149
versions are even harder.

00:20:01.329 –> 00:20:04.680
Cool. Well, let’s, anything else on that? Or you want to jump right on into the.

00:20:04.810 –> 00:20:09.510
No, no, no. I think, I think for those listeners that are at the gym,

00:20:09.510 –> 00:20:13.350
I think like to avoid anyone like losing consciousness, we should move on.

00:20:13.990 –> 00:20:18.029
All right. There you go. All right. So we have some exciting.

00:20:22.289 –> 00:20:28.479
Amazon news. Your margin is their opportunity.

00:20:30.029 –> 00:20:34.789
So setting the stage we had it’s interesting i think it was two quarters ago

00:20:34.789 –> 00:20:38.369
they all announced on the same day there was total chaos this time they spread

00:20:38.369 –> 00:20:44.499
out which is kind of nice but in doing so when you’re saying they you mean meta google amazon,

00:20:45.150 –> 00:20:49.059
yeah the big companies we kind of track okay well because i track walmart and

00:20:49.059 –> 00:20:50.199
they’re not till november,

00:20:50.909 –> 00:20:53.739
yeah yeah they’re they’re off cycle being a retailer,

00:20:54.570 –> 00:21:00.810
and so first of all we had meta and there’s lots of disclosures around muse and wall street is like

00:21:01.210 –> 00:21:04.070
i’ve never seen him so excited about things you and i are going to do a wall

00:21:04.070 –> 00:21:09.750
street call and i’m excited uh to hear what ron’s approach is on that because he’s pretty muse pilled

00:21:10.150 –> 00:21:13.729
i call it muse mania they’ve gotten muse mania over on wall street and they

00:21:13.729 –> 00:21:17.319
are you know they’re doing i sent you one of the bigger reports it was like

00:21:17.319 –> 00:21:20.649
56 pages and they did this really complex TAM analysis.

00:21:20.649 –> 00:21:24.549
They’re basically like, this thing could be $4 billion in 27.

00:21:24.869 –> 00:21:29.029
And then in that year, it could be 60 billion years. It’s like, whoa, whoa, whoa.

00:21:29.159 –> 00:21:31.979
I thought I was in a just a Comrades Maxwell. You guys are like,

00:21:32.619 –> 00:21:35.579
you’re past your skis. You’re into those.

00:21:36.309 –> 00:21:39.439
I don’t know where you are past the skis. It’s crazy. But I thought that was

00:21:39.439 –> 00:21:43.619
interesting. So there was like a euphoria from that. And I wouldn’t be surprised.

00:21:44.309 –> 00:21:46.829
Actually, on the meta side, they’re pretty excited about it too,

00:21:47.209 –> 00:21:50.109
and that’s all they talk about now. I wouldn’t be surprised if they rebranded

00:21:50.109 –> 00:21:52.309
the whole company to Muse, so that’ll be interesting to keep an eye on them.

00:21:53.239 –> 00:22:00.110
Then we had, so on Wednesday night, Google came out and they kind of didn’t

00:22:00.110 –> 00:22:02.830
do great. They missed some expectations.

00:22:03.229 –> 00:22:06.069
So they had, a lot of things are going to be mixed at this point.

00:22:07.049 –> 00:22:11.019
Their cloud compute just totally ripped. That’s GCP, Google Cloud Compute.

00:22:11.019 –> 00:22:12.929
Remind me, is 100% growth good?

00:22:13.560 –> 00:22:22.360
That is, yes. Now, they are a smaller base than AWS. You’ve got Azure, GCP, and then also AWS.

00:22:22.490 –> 00:22:27.500
AWS is the biggest one by far, but it’s slowing. And then the other guys are accelerating.

00:22:27.860 –> 00:22:31.660
Now, it’s a little unfair because Google, Amazon would call a little bit of

00:22:31.660 –> 00:22:35.360
foul on this because Google is putting in their, they’re selling hardware now

00:22:35.360 –> 00:22:37.622
called TPs, which is their GPU.

00:22:38.160 –> 00:22:42.520
And, but then Amazon is too. So it’s kind of starting to be more apples and apples.

00:22:43.420 –> 00:22:48.090
Poor old Microsoft doesn’t have their own GPU to sell, but they’re doing just

00:22:48.090 –> 00:22:49.240
fine. Don’t sleep over that.

00:22:49.799 –> 00:22:55.529
So that part of the business was good, but there was one comment on the Google

00:22:55.529 –> 00:22:58.469
call that just totally tilted the whole market.

00:22:58.609 –> 00:23:01.329
And it’s really interesting. It didn’t come until the Q&A, and I want to read

00:23:01.329 –> 00:23:03.059
this very exactly so I don’t mess anything up.

00:23:03.382 –> 00:23:06.390
One of our friends, Doug Anmuth, he is a Wall Street analyst,

00:23:06.390 –> 00:23:10.670
and he said, so when they reported in the prepared remarks, there was this disconnect,

00:23:10.670 –> 00:23:14.820
and no one on Wall Street could understand it. The disconnect is query growth

00:23:14.820 –> 00:23:15.920
was growing very quickly.

00:23:16.070 –> 00:23:20.030
And Sundar is like, we’ve never seen this much growth in the search volume.

00:23:20.440 –> 00:23:23.740
But at the same time, revenue from search started decelerating.

00:23:24.020 –> 00:23:27.960
And so you have one line going up. And normally those lines would be.

00:23:28.870 –> 00:23:32.110
Totally correlated. You know, if not, Google’s always been good about,

00:23:32.110 –> 00:23:35.240
well, search went up, but actually ad revenue went up higher because,

00:23:35.580 –> 00:23:38.240
you know, there’s so many people that want this great quality traffic.

00:23:38.560 –> 00:23:43.989
But then what happened is search volume went up and revenue went down and it slowed.

00:23:44.370 –> 00:23:47.350
And that is a very strange thing in the world of Google.

00:23:47.880 –> 00:23:51.220
So Phil Schindler, who is, you know, one of the business guys there,

00:23:51.690 –> 00:23:56.940
he answered and said the biggest, the biggest part Part of search discoloration

00:23:56.940 –> 00:24:00.780
revenue was some headwinds on financial exchange, some courtesy stuff.

00:24:01.710 –> 00:24:05.980
And then they talked about some things or some puts from a year ago with World

00:24:05.980 –> 00:24:09.590
Cup and then Europe. There’s all this international noise in the number.

00:24:09.920 –> 00:24:12.190
And it kind of felt like a little tap dancing.

00:24:12.769 –> 00:24:18.759
And then he kind of like, he then said, and the strong growth in AI mode queries,

00:24:19.219 –> 00:24:24.729
had an impact because of the lower monetization we were seeing in AI mode.

00:24:25.109 –> 00:24:28.999
So this is the big fear that everyone’s had is like if you have two customer

00:24:28.999 –> 00:24:34.779
experiences and consumers and one of them, traditional Google monetizes at this,

00:24:35.279 –> 00:24:38.539
you know, it’s been tuned for 20, 30 years and it’s just humming.

00:24:38.919 –> 00:24:43.959
And then you offer this other experience that doesn’t have as many ads and many

00:24:43.959 –> 00:24:49.189
people, because it is now an answer engine, would find potentially better and

00:24:49.189 –> 00:24:52.949
more compelling when they see that one, they go over there too fast.

00:24:52.949 –> 00:24:57.819
I think Google’s been good at controlling that. And I think maybe that is flooding over now.

00:24:58.219 –> 00:25:01.919
And Google is doing that because just since we’ve had our last podcast,

00:25:02.349 –> 00:25:06.499
an AI overview, when it says more, it typically now will dump you into AI mode.

00:25:06.649 –> 00:25:11.049
On core Google, frequently, it will put you into AI mode if you enter a longer

00:25:11.269 –> 00:25:16.730
search query string because they realize that old Google doesn’t give you an

00:25:16.730 –> 00:25:18.400
answer, AI mode Google does.

00:25:19.449 –> 00:25:23.970
And then what’s really interesting is the agentic shopping stuff that was kind

00:25:23.970 –> 00:25:29.339
of started in AI mode, it is now over on Core Google as well.

00:25:29.559 –> 00:25:35.319
So they’re merging in a way too, which makes it a little confusing,

00:25:35.319 –> 00:25:37.199
but there’s still kind of two separate interfaces.

00:25:37.202 –> 00:25:41.160
But Core Google, they’re sending a lot of traffic over there and it’s not monetizing

00:25:41.160 –> 00:25:45.060
as well, which has really got people freaked out.

00:25:45.880 –> 00:25:51.339
Yeah. Did you freak out? No, no. You know, I think people in my industry are going to freak out.

00:25:51.339 –> 00:25:55.209
Right. Because that’s already getting wildly misquoted.

00:25:55.209 –> 00:26:01.479
Right. Like so the most common quote now is like, well, why why did you miss your your guidance?

00:26:01.479 –> 00:26:06.240
And oh, exclusively because search volume is going up.

00:26:06.240 –> 00:26:09.620
But monetization is going down because agents are less monetizable.

00:26:09.620 –> 00:26:12.710
Like that’s how it’s getting quoted. And for your point, like he.

00:26:13.620 –> 00:26:18.580
He had, he listed like eight macroeconomic factors as most prevalent and then

00:26:18.580 –> 00:26:20.790
said this, right? So I think it’s on the mix.

00:26:21.160 –> 00:26:23.070
I do think it’s a real thing.

00:26:23.660 –> 00:26:27.480
I don’t personally get very worried about it because in the history of every

00:26:27.480 –> 00:26:31.750
advertising platform, you, you never start with the monetization.

00:26:31.750 –> 00:26:34.610
Like it’s always free and good at first.

00:26:34.910 –> 00:26:38.520
And then you add the monetization after everybody gets addicted to it.

00:26:38.520 –> 00:26:44.620
Right. So Google was 10 blue links and, you know, then ads slowly went on to it.

00:26:44.620 –> 00:26:49.039
Right. And Meta was a free way to, you know, hear from all the friends in your

00:26:49.039 –> 00:26:54.399
social graph. And now it’s it’s all paid. LinkedIn used to be organic content. Now it’s all paid.

00:26:55.110 –> 00:27:00.870
So like AI Overview is still at the, like, let’s get people addicted to this.

00:27:00.870 –> 00:27:03.030
It’s not as heavily monetized.

00:27:03.939 –> 00:27:08.179
I don’t think it’s going to be particularly challenging to monetize it.

00:27:08.529 –> 00:27:10.189
And I actually think in the long run.

00:27:11.179 –> 00:27:17.309
Google has an enormous advantage in, you know, a billion legacy users that they

00:27:17.309 –> 00:27:20.769
get to move over to these new things, whereas, you know, new people that invent

00:27:20.769 –> 00:27:25.109
stuff have to have to go out and recruit all those those users. Right.

00:27:25.709 –> 00:27:32.869
So so I I absolutely think the this shift in attention from search to to answer

00:27:32.869 –> 00:27:37.739
engines is a disruption in the market and it will disrupt advertising along

00:27:37.739 –> 00:27:38.609
with a lot of other things.

00:27:39.009 –> 00:27:43.999
But I don’t endemically look at the new thing and go, oh, it’s way less monetizable

00:27:44.329 –> 00:27:48.209
than the old thing. It’s just they haven’t executed the monetization to the

00:27:48.209 –> 00:27:50.229
same level, which I think is smart.

00:27:50.690 –> 00:27:53.840
Yeah, Wall Street’s kind of on a wall of worry because there’s just a lot of

00:27:53.840 –> 00:27:56.670
concern over this AI buildout. The numbers are getting staggering.

00:27:56.670 –> 00:27:59.390
No, and it’s- They’re looking for any crack in the dam. And this is all like

00:27:59.390 –> 00:28:00.400
a crack in the dam. They’re both ironic.

00:28:00.410 –> 00:28:03.860
Like, they look at, like, these numbers are so eye-watering and scary.

00:28:03.860 –> 00:28:07.020
And like, I mean, I, I, I think what did Google say? They’re,

00:28:07.480 –> 00:28:11.110
they’re forward looking CapEx was going to be like 250 billion.

00:28:11.110 –> 00:28:16.380
And then they’re always like, yeah, Amazon’s at 220. And I think Google’s worth of that. Yeah.

00:28:17.210 –> 00:28:21.260
And way more in subsequent years, the starter year.

00:28:21.470 –> 00:28:24.820
And so I think understandably investors are nervous, but it was kind of funny

00:28:24.820 –> 00:28:28.170
because they’re like, oh, this is the, the crack in Google. And so we’re going

00:28:28.170 –> 00:28:30.540
to, we’re going to panic and short Google.

00:28:31.089 –> 00:28:34.739
But then when we talk about Amazon, we’re going to talk about partly why like

00:28:34.739 –> 00:28:38.069
Amazon stock is getting negatively affected because Google did so well.

00:28:39.469 –> 00:28:43.279
Yeah, it’s very, very counterintuitive. Yeah. So what happened is let’s pivot

00:28:43.279 –> 00:28:45.869
into that. So, oh, one more thing on Google.

00:28:46.129 –> 00:28:48.379
In the, I wonder if you picked up on this.

00:28:48.739 –> 00:28:52.589
So someone asked Sudar if they plan on coming out with basically a Muse-like thing.

00:28:52.969 –> 00:28:55.769
And because if you look at a matrix that who has them, they’re basically kind

00:28:55.769 –> 00:28:58.679
of out alone without one. And yeah.

00:28:59.499 –> 00:29:04.089
Yeah, he said, I mean, they have a nice one, haven’t they? Isn’t that good? Yeah, it’s terrible.

00:29:04.549 –> 00:29:08.919
Yeah, it’s not good. You can’t find it as terrible. Yeah, we’ll agree to disagree.

00:29:08.919 –> 00:29:10.239
They’re all terrible, but okay.

00:29:10.729 –> 00:29:13.859
Okay, that one’s the worst. The most terrible list, okay.

00:29:14.999 –> 00:29:18.239
And it’s like pedantic. You know how on your iPhone, it’ll occasionally ask

00:29:18.239 –> 00:29:20.879
you, do you really want to allow a copy paste? And you’re like,

00:29:21.179 –> 00:29:25.529
geez, take that to like the eighth level. It asks you questions a thousand times.

00:29:26.150 –> 00:29:29.060
Do you really want to period it in that sense? Things like that.

00:29:29.340 –> 00:29:33.739
And so as a friend of Walmart, I also don’t like them naming things spark, but that’s a.

00:29:36.074 –> 00:29:39.489
He said, we’ve, we’ve done these agents and the enterprise, you did this very

00:29:39.489 –> 00:29:42.929
long answer into the tail end. And he kind of tailed off on the call.

00:29:43.369 –> 00:29:47.339
He’s got kind of a low voice anyway, which I understand. And he said,

00:29:47.509 –> 00:29:49.699
and we’re going to have a consumer one out by the end of the year.

00:29:50.179 –> 00:29:52.169
So, so they’re going to have something out by the end of the year.

00:29:52.439 –> 00:29:56.079
And you and I know that you can’t, and he specifically said earlier,

00:29:56.079 –> 00:29:59.229
it will, it will help people. We have, we want to have options.

00:29:59.229 –> 00:30:02.619
We have one that helps people sell and one that helps people shop.

00:30:02.929 –> 00:30:07.379
And so putting those two comments together, which I think is pretty logical,

00:30:07.689 –> 00:30:10.539
they’re going to come out with their own version of a Muse-like thing.

00:30:11.029 –> 00:30:14.779
And I’ve kind of come to the conclusion it needs to be in the next 28 days or

00:30:14.779 –> 00:30:18.719
so, because if you come out with anything after Thanksgiving and you miss the

00:30:18.719 –> 00:30:22.629
core of Cyber 5 or Turkey 5, I forget what you call it.

00:30:24.729 –> 00:30:29.379
Then you’re kind of toast. So I suspect we’ll have something from Google in

00:30:29.379 –> 00:30:31.949
the next 30 days, which will be exciting for me at least.

00:30:32.469 –> 00:30:36.749
Interesting yeah i guess since you hate them all you won’t even fear no i mean i,

00:30:37.409 –> 00:30:41.949
i i see the potential in them i i think like you and some other people are,

00:30:42.529 –> 00:30:47.399
slightly over exuberant about the current experiences right like i i’ve been

00:30:47.399 –> 00:30:50.669
doing this for a long time i i worked from in my first computer store when i

00:30:50.669 –> 00:30:52.959
was 14 years old and i distinctly remember,

00:30:53.619 –> 00:30:56.849
a guy walking in and me teaching him about this him this new thing called the

00:30:56.849 –> 00:31:00.639
computer and how you could store all your files in it and how much better it

00:31:00.639 –> 00:31:02.229
was than a filing cabinet, right?

00:31:02.229 –> 00:31:04.429
Because you could digitally store all your files.

00:31:04.659 –> 00:31:08.670
And he looked at me and he said, Jason, here’s my filing cabinet today.

00:31:08.970 –> 00:31:12.350
Like name a topic and watch how fast I can pull out the file.

00:31:13.049 –> 00:31:17.489
Can you do that faster on your VIC-20 computer? No.

00:31:18.769 –> 00:31:23.039
Right. And his point was like very, very well stated.

00:31:23.039 –> 00:31:27.939
Like it’s cool that you could do these new things, but like until they do them

00:31:27.939 –> 00:31:31.919
better than the old way, they’re not going to get mass adoption, right?

00:31:31.919 –> 00:31:37.309
And there are some things that Muse could probably do better today than the

00:31:37.309 –> 00:31:39.359
old way, but one of them is not shopping.

00:31:40.610 –> 00:31:45.040
Agree to disagree. All right. Yeah. I’m talking about discovery.

00:31:46.290 –> 00:31:51.529
Okay. So then what happened is Wall Street was like, okay, Google missed because

00:31:51.529 –> 00:31:54.679
of some AI mode thing. Amazon doesn’t have AI mode.

00:31:57.599 –> 00:32:01.309
But they really surprised Google. Spoiler alert. I would argue that Amazon does,

00:32:01.309 –> 00:32:02.759
but we’ll get to that. We’ll get to that.

00:32:07.299 –> 00:32:13.689
The but but aw we have aws at 34 i bet they’re going to totally crush it so

00:32:13.689 –> 00:32:17.259
what started to happen is in 24 hours the whisper numbers went from the wall

00:32:17.259 –> 00:32:22.259
street kind of thing since this of 34 36 kind of what amazon guided to

00:32:22.599 –> 00:32:26.079
to 40 everyone’s like oh they’re going to absolutely because both,

00:32:26.539 –> 00:32:32.180
both google and microsoft just blew away their compute number yep and then what

00:32:32.180 –> 00:32:34.059
happened was a couple of things.

00:32:35.020 –> 00:32:39.220
So first of all, it was the way Wall Street thinks about this is kind of like,

00:32:39.220 –> 00:32:43.170
did you meet the current guidance or not that you gave last time from the last

00:32:43.170 –> 00:32:45.660
quarter? So that’s a beat, meet or miss.

00:32:45.980 –> 00:32:49.500
And then what are you doing next month? But this introduces a new third dimension,

00:32:49.500 –> 00:32:52.520
which is, okay, you told us what you were going to do.

00:32:52.860 –> 00:32:56.360
We now have this new idea what you’re going to do, which is our expectation.

00:32:57.580 –> 00:33:01.200
The company’s expectations, Wall Street expectation. and then what’s that even

00:33:01.200 –> 00:33:03.800
like project it’s almost like two more things into the future,

00:33:04.280 –> 00:33:08.420
so this is this quarter is what you had called they met the guidance they give

00:33:08.420 –> 00:33:12.940
so they met amazon met their own expectations but they missed wall speed’s expectations

00:33:12.940 –> 00:33:17.520
because it kind of ran rampant thanks to their friends at google this sounds very similar to the

00:33:17.940 –> 00:33:20.120
budgeting process at publicist by the way but yeah.

00:33:22.190 –> 00:33:25.730
Yep everyone gets like super big and then like it gets cut and then you like

00:33:25.730 –> 00:33:27.750
a little bit more and then you’re somehow landing there

00:33:28.160 –> 00:33:33.060
yeah and by the way one other fun constraining factor of all this like amazon’s like oh and we’re gonna

00:33:33.450 –> 00:33:39.160
spend 220 billion dollars on more capacity and even with that spend we have

00:33:39.160 –> 00:33:43.010
sold 100 of our future capacity and it’s like

00:33:43.350 –> 00:33:49.239
well how how do you miss your forecast when the warehouse is empty right like yeah it was really yeah,

00:33:50.109 –> 00:33:52.499
Yeah. Some of it doesn’t pencil. We’re going to dig into that.

00:33:53.129 –> 00:33:56.329
And my favorite one, we’re going to have a lot of disagreements on this.

00:33:59.240 –> 00:34:03.810
And then you gave two disclosures that we’ll go into that everyone was like, head explode emoji.

00:34:04.170 –> 00:34:07.530
It was like, they already couldn’t process what was going on to your point.

00:34:08.070 –> 00:34:13.020
And then Amazon ads, as they dug into it, this is the real quizzical things. It totally whiffed.

00:34:13.570 –> 00:34:16.970
And no one really asked any questions about it, but we’re going to dig into

00:34:16.970 –> 00:34:19.459
it. So I thought that was really weird of like all the things.

00:34:20.425 –> 00:34:25.589
So, and then they dropped a lot of exciting new details about Alexa for shopping,

00:34:25.589 –> 00:34:27.289
which going forward, we’re going to call AFS.

00:34:27.489 –> 00:34:30.759
Just we say less words and Jason’s device doesn’t trigger on him,

00:34:31.009 –> 00:34:32.969
which is already done in the green room.

00:34:33.459 –> 00:34:36.179
Yeah, we accidentally purchased several products in the green room.

00:34:36.849 –> 00:34:39.979
Yeah, if you’re not aware, a lot of people still don’t realize this.

00:34:39.979 –> 00:34:42.769
Rufus is sadly went to the farm.

00:34:43.329 –> 00:34:46.929
And now we have AFS is what we’re talking about, the on-site agent previously

00:34:46.929 –> 00:34:51.309
known as Rupus. The long form is Alexa for shopping, but internally at Amazon,

00:34:51.309 –> 00:34:52.899
everyone calls it AFS in the industry.

00:34:54.070 –> 00:34:59.197
So before we dig into some of that, do you want to take us through the headline numbers? Yeah.

00:35:01.370 –> 00:35:06.729
So you already covered the financial numbers, right? Or did we want to cover just their…

00:35:07.419 –> 00:35:10.989
I’ll give a headline of them. Yeah. So the business grew 12%.

00:35:10.989 –> 00:35:14.409
Now, another thing to know is, and this is going to come up a lot,

00:35:14.739 –> 00:35:18.749
is they moved Prime Day, which is always a total PETA. Because last year,

00:35:18.749 –> 00:35:22.319
it was in Q3, and they moved it into Q2 this year. So that creates all kinds

00:35:22.319 –> 00:35:24.939
of comp problems. But just remember that it’s moved.

00:35:25.339 –> 00:35:30.649
So basically said, look, if Prime Day had been in Q3, that was 400 bips.

00:35:30.649 –> 00:35:35.119
So we would have, instead of growing at 12%, we would have grown at like 16%, 17%.

00:35:35.469 –> 00:35:37.499
So everything’s hunky-dory on the top one.

00:35:38.369 –> 00:35:43.269
That huge negative cash flow, but that’s just because they’re just buying CapEx as much as possible.

00:35:43.739 –> 00:35:48.439
There’s a lot of noise in the free cash flow numbers and things from that.

00:35:48.849 –> 00:35:52.399
A lot of that, some of us rented. There’s like all kinds of financial accounting

00:35:52.399 –> 00:35:55.669
mechanisms in there. They borrowed more money than they usually do, didn’t they?

00:35:56.849 –> 00:35:59.349
Yeah. A lot of these companies are because they can kind of,

00:35:59.669 –> 00:36:04.519
they’re chewed into free cash flow and they need more money to go buy things.

00:36:05.369 –> 00:36:10.189
There was a podcast sidebar. I don’t know if you saw this. A16Z has a really good podcast.

00:36:10.619 –> 00:36:15.519
And it was like two of my favorite folks, Ben Horowitz, who is the Horowitz

00:36:15.519 –> 00:36:16.599
of Andreessen Horowitz.

00:36:16.908 –> 00:36:20.170
He has a very good book in my world called The Hard Thing About Hard Things.

00:36:20.170 –> 00:36:23.440
And he asked Jassy some really good questions. I’ve never heard anyone ask him.

00:36:23.881 –> 00:36:27.819
They did an hour long, you would like this. It’s a very long format,

00:36:27.819 –> 00:36:30.399
sit down with Jassy that is exceptionally good.

00:36:30.839 –> 00:36:35.009
And his command of these numbers is like nothing I’ve ever seen before. It’s insane.

00:36:35.770 –> 00:36:38.530
Yeah. You should check it out. The guy’s- Oh yeah, I listened to the whole thing.

00:36:38.990 –> 00:36:43.880
He is on this, you know, he is on this tier of executive that is just amazing.

00:36:44.909 –> 00:36:48.419
Yeah, for sure. I would I would argue a lot of the Amazon execs have a great

00:36:48.419 –> 00:36:53.429
grasp of their business. But like if you think about what a big and wide spanning

00:36:53.429 –> 00:36:58.909
enterprise all of Amazon is, it’s it’s all the more impressive at the Andy Jassy level.

00:36:59.580 –> 00:37:03.750
Yeah. And you can say stuff. Yeah. Back when I started AWS at Amazon. Yeah.

00:37:04.710 –> 00:37:09.180
Yeah. That’s always cool. And I I believe fact check me, but I believe that

00:37:09.180 –> 00:37:10.230
business is going pretty well.

00:37:10.960 –> 00:37:13.850
It is. And in fact, this is one of the things that really set people back.

00:37:13.850 –> 00:37:16.900
He was going through the things and he was talking about the business overall.

00:37:16.900 –> 00:37:18.560
And then he kind of like pauses for a second.

00:37:18.820 –> 00:37:22.320
And he said, this is very uncharacteristic in Amazon world. He did this last

00:37:22.320 –> 00:37:24.450
time. I thought it was like a little giddy. He was talking about grocery.

00:37:24.450 –> 00:37:28.040
Remember I’d called that out. Yeah. This time he said, there’s never been a

00:37:28.040 –> 00:37:32.500
business that has one with $1 trillion of annual revenue.

00:37:33.560 –> 00:37:37.159
Amazon is on a path to have two of those. Basically, the stores,

00:37:37.379 –> 00:37:41.799
what they now call, he calls the stores, which is everything but AWS and AWS.

00:37:42.469 –> 00:37:47.610
And then that was pretty crazy. Then he said, speaking of guidance,

00:37:47.810 –> 00:37:54.330
I want you to understand that AWS going forward is going to grow north of 40%.

00:37:54.900 –> 00:37:58.950
And remember, they printed like into the 30s when everyone was kind of whisper of 40.

00:37:59.370 –> 00:38:04.570
So it was kind of like, everyone’s like, oh, that stank, Q3 was not as exciting

00:38:04.570 –> 00:38:07.240
as we thought it was. What’s going on? He said, oh, don’t worry about it.

00:38:07.752 –> 00:38:15.029
Not only am I going to guide you to AWS being north of 40% for 27, but it also will be in 28.

00:38:15.839 –> 00:38:21.619
On the A16Z podcast, he told them, yeah, we’re basically sold out of all of 27 and most of 28.

00:38:21.899 –> 00:38:26.819
We keep a little bit for customers that grow, but we’re basically sold out for the next two years.

00:38:27.199 –> 00:38:30.249
It’s crazy. Yeah. There was actually an interesting conversation on that podcast

00:38:30.249 –> 00:38:34.919
about the strategy of how much of your capacity to sell versus keep for yourself,

00:38:34.919 –> 00:38:39.449
right? Because like a lot of Amazon’s businesses. This is a Google problem, too.

00:38:39.789 –> 00:38:44.299
Google is starving off Gemini to feed other folks, to feed GCP.

00:38:44.319 –> 00:38:46.770
Yeah, this is the new world we live in. Yeah.

00:38:47.610 –> 00:38:51.140
Then he said we’re installing, he calls them AI accelerators,

00:38:51.140 –> 00:38:55.119
basically a GPU of some flavor, be it a, what’s their name called?

00:38:56.039 –> 00:39:02.030
I forget what the name of their one is, an NVIDIA or their own flavor about every 14 seconds.

00:39:02.530 –> 00:39:06.019
And when we install one, customers gobble it up. So pretty crazy.

00:39:06.639 –> 00:39:09.819
Yeah, yeah. And he likes his better than the NVIDIA one because he said the

00:39:09.819 –> 00:39:14.569
price per performance is better, right? Like the NVIDIA is the absolute performance

00:39:14.569 –> 00:39:19.099
king, but the price per performance, he feels like training. Just came to me. Yeah.

00:39:19.749 –> 00:39:23.049
Exactly. Thank you. It has the wrong name. And I always have to think,

00:39:23.049 –> 00:39:25.929
why? It’s got the wrong name. It’s not because it sounds like it should be for

00:39:25.929 –> 00:39:30.390
training inference for training. But yeah, yeah, yeah, that’d be sure we thought that.

00:39:30.670 –> 00:39:33.090
Yeah. Not too late. Maybe they’ll call it Rufus.

00:39:33.950 –> 00:39:38.310
And then you and I were fresh from grocery. Did you get a chance to look at

00:39:38.310 –> 00:39:41.560
some of the grocery numbers? Yeah, yeah, yeah. Both the retail and the grocery numbers.

00:39:41.850 –> 00:39:46.830
And caveat, like what Amazon calls retail is not what you and I might think

00:39:46.830 –> 00:39:48.130
of as the retail business, right?

00:39:48.130 –> 00:39:53.360
Because first of all, the P&L is, you know, it’s 60% marketplace.

00:39:53.360 –> 00:39:57.290
So they’re talking about, you know, all the merchant fees that they get on the marketplace.

00:39:57.695 –> 00:40:02.339
They definitely, you know, include online, offline ads, the ads in there.

00:40:02.639 –> 00:40:04.299
You called it everything but AWS.

00:40:04.679 –> 00:40:09.669
I would actually argue it’s small at the moment, but they hope it’s a big business

00:40:09.669 –> 00:40:14.239
someday. Leo would be the third business, right? Yeah. Like the satellite.

00:40:14.912 –> 00:40:19.409
It’s not in stores. But so stores is this complicated thing.

00:40:19.409 –> 00:40:24.850
And we could talk about the comps on stores, the number of units and all that stuff.

00:40:24.850 –> 00:40:32.360
But what I always try to do is model the gross merchandise value, right?

00:40:32.360 –> 00:40:36.520
Which is getting harder and harder to do, way smarter than people than me,

00:40:37.180 –> 00:40:37.930
you know, like our friends at

00:40:37.930 –> 00:40:42.260
Citibank and Morgan Stanley each have these really sophisticated models.

00:40:42.899 –> 00:40:46.899
And so I look at a range of all their models of GMV, right?

00:40:47.249 –> 00:40:53.089
And basically, depending on how, like what model you want to believe,

00:40:53.619 –> 00:40:59.809
the range of their retail growth was somewhere between 7% at the low end.

00:40:59.809 –> 00:41:01.709
And this is North American retail sales.

00:41:02.180 –> 00:41:04.570
And like 12% at the high end.

00:41:05.449 –> 00:41:12.679
And so that’s a pretty healthy number. All of retail is growing at like 3% or

00:41:12.679 –> 00:41:19.229
4%, but digital is growing at like 7% or 8%, right?

00:41:19.229 –> 00:41:23.639
So depending on where Amazon really falls, obviously the overwhelming majority

00:41:23.639 –> 00:41:27.849
of Amazon sales are digital, so you can kind of compare them against other people’s digital numbers.

00:41:28.653 –> 00:41:30.640
Whole Foods isn’t very significant in the number.

00:41:31.550 –> 00:41:36.540
So so you end up with, you know, Amazon is growing somewhere between like at

00:41:36.540 –> 00:41:42.580
the industry average and well above the industry average in terms of how much stuff they sell.

00:41:42.990 –> 00:41:46.750
But what’s super interesting is the mix is dramatically changing.

00:41:46.750 –> 00:41:51.090
Right. So they are selling many more items than they used to sell.

00:41:51.090 –> 00:41:54.050
And those items are less expensive than they used to be.

00:41:54.390 –> 00:41:59.430
And that is largely because of this huge unlock that we talked about on a previous

00:41:59.430 –> 00:42:03.409
podcast about everyday essentials and grocery, right? And so,

00:42:03.409 –> 00:42:06.079
you know, they’re selling a lot of lower cost items.

00:42:06.359 –> 00:42:10.409
They’re selling a lot of smaller carts because their speed of delivery is so

00:42:10.409 –> 00:42:14.309
fast for all these items that instead of people doing a weekly stock up and

00:42:14.309 –> 00:42:17.759
buying all their groceries together, they just buy everything they need ad hoc

00:42:17.759 –> 00:42:19.849
and it shows up at their house 30 minutes later.

00:42:20.129 –> 00:42:27.149
So the stock up order is like, to some extent, going away in favor of all these ad hoc orders.

00:42:27.149 –> 00:42:32.329
And so they’re like, I think they said that their everyday essentials grew three

00:42:32.329 –> 00:42:36.789
times faster than their traditional stuff. Like, you know, their best customers

00:42:36.789 –> 00:42:38.299
do buy both kinds of stuff.

00:42:39.110 –> 00:42:47.070
But so they’re growing very healthy and they’re primarily winning this grocery

00:42:47.070 –> 00:42:49.940
area, which is a total white space for them.

00:42:50.400 –> 00:42:56.990
And as we talked about earlier, like only really Amazon, Walmart and Costco

00:42:56.990 –> 00:43:00.190
are growing at grocery like at the expense of everyone else.

00:43:00.190 –> 00:43:04.690
Right. So this all this Amazon growth right now is coming right out of the Kroger’s

00:43:04.690 –> 00:43:05.970
and Albertsons of the world.

00:43:07.110 –> 00:43:10.487
And so so that that is pretty interesting.

00:43:10.500 –> 00:43:15.160
And then, you know, he he talked about, you know, and when you factor ads,

00:43:15.160 –> 00:43:19.539
which are an important part of the retail model, you know, that it’s a very,

00:43:20.159 –> 00:43:27.020
favorable unit economics, even with these these smaller order order values. Right.

00:43:27.880 –> 00:43:33.030
So that’s the big takeaway on retail. Now, if you compare them to U.S.

00:43:33.030 –> 00:43:40.010
Census, again, like low end of the GMB, they’re kind of tying the digital portion of U.S. Census data.

00:43:40.350 –> 00:43:43.389
Who they’re getting crushed by is Walmart, right?

00:43:43.389 –> 00:43:47.639
So if even the high end of their GMB growth is like 11 or 12 percent,

00:43:48.360 –> 00:43:52.460
Walmart is like 24 to 26 percent digital growth.

00:43:52.460 –> 00:43:56.900
Now, it’s a much smaller base, right? Like Amazon’s digital business is much

00:43:56.900 –> 00:44:00.750
bigger than Walmart’s, but Walmart’s is the second biggest in the U.S.

00:44:00.750 –> 00:44:02.850
And it’s growing quite a bit faster.

00:44:03.629 –> 00:44:06.949
Amazon, Andy threw some like very intentional shade at Walmart.

00:44:06.949 –> 00:44:08.659
He didn’t name Walmart, but he said.

00:44:09.319 –> 00:44:11.219
I was going to say, he knew you were going to say that, Jason.

00:44:11.439 –> 00:44:16.679
Yeah. He said our grocery business added twice as many incremental dollars as

00:44:16.679 –> 00:44:19.140
our next biggest competitor. Right.

00:44:20.540 –> 00:44:24.220
Yeah, which is him saying, because we sell so much more digitally.

00:44:25.720 –> 00:44:28.400
Our gross dollar volume was twice as big as Walmart’s.

00:44:29.000 –> 00:44:31.200
What’s the new Walmart’s CEO’s name?

00:44:31.799 –> 00:44:38.280
Well, David Gugina is the president of US, and John Furner is the CEO. Yeah, shots fired.

00:44:38.930 –> 00:44:40.800
Yeah. We’ll see if they’re earning. But again, both, I think,

00:44:40.800 –> 00:44:44.730
are true, right? Right. Like I think like it is true. Walmart is absolutely

00:44:44.730 –> 00:44:49.940
growing faster and taking digital share away from Amazon. Amazon is,

00:44:50.310 –> 00:44:53.370
you know, much bigger and is incrementally, you know, growing more dollars.

00:44:53.859 –> 00:44:57.399
And both feature at the same time. Math is crazy. Yes. So, yes,

00:44:57.399 –> 00:44:59.149
that’s what I keep trying to explain to my 11 year old.

00:45:02.499 –> 00:45:06.619
Don’t even get into prime numbers. They’re magical. Yeah. But so we’ve already

00:45:06.619 –> 00:45:10.259
spent way more time on retail than anyone on the earnings call did.

00:45:10.940 –> 00:45:14.190
Because to the extent that there was any interest in retail whatsoever,

00:45:14.190 –> 00:45:21.000
it was the topic of ads, which you already wrote a controversial LinkedIn post about.

00:45:21.760 –> 00:45:27.440
Yeah, I did that before the call and after the earnings. I was kind of like,

00:45:27.920 –> 00:45:30.810
what’s something missing in here? And then I saw the ad number in it.

00:45:31.310 –> 00:45:34.590
You and I talk about it so much that I’ve got this part almost memorized.

00:45:34.820 –> 00:45:39.189
And I was like, wait a minute, ads grew only, it ended up growing.

00:45:42.260 –> 00:45:48.899
It was like 6% below consensus. So everyone thought it was going to grow at 18%. They grew at 12%.

00:45:49.529 –> 00:45:55.539
Amazon ads hasn’t grown sub 22% since your son was in diapers.

00:45:56.129 –> 00:46:00.089
I mean, like it has been like growing like a weed. And I was kind of like,

00:46:00.089 –> 00:46:04.159
what’s going on? And then it ended up, they have answered part of that,

00:46:04.609 –> 00:46:08.419
but it still doesn’t, I need to go do some, there’s some complicated math to be done here.

00:46:08.659 –> 00:46:11.209
So on the call, they said, there’s kind of three things. Number one,

00:46:11.209 –> 00:46:13.939
there’s some NBA thing that I don’t understand 100%.

00:46:14.219 –> 00:46:16.789
And a lot of people tried to analyze this and they’re kind of like,

00:46:16.789 –> 00:46:21.379
we don’t get it because anyway, it’s super complicated.

00:46:22.299 –> 00:46:27.209
And then there was another thing. And then the big one was Prime Day and surely that shifted.

00:46:28.279 –> 00:46:31.289
But even if you, and then they actually qualified it on the call.

00:46:31.289 –> 00:46:34.819
I think he said it was 800 bibs. And if you actually do the math, there’s still a hole.

00:46:35.509 –> 00:46:40.319
And then it actually means last quarter was bad too. It’s just hidden by the movement of Prime.

00:46:40.709 –> 00:46:44.189
Day and then you’re kind of like why did they do that like is that why they

00:46:44.189 –> 00:46:49.439
did this it makes you yeah your conspiracy theory kind of light up a little bit of like something’s,

00:46:50.039 –> 00:46:53.139
i my spidey sense is something’s hiding in here and i think i can figure it

00:46:53.139 –> 00:46:58.429
out my my perspective is and then they also the third thing they said was oh

00:46:58.429 –> 00:47:01.209
and there’s sem changes we decided to you,

00:47:02.340 –> 00:47:07.349
know a year ago or something to really and they used to really word i kind of

00:47:07.349 –> 00:47:09.019
had to unpack this and some of the wall.

00:47:10.639 –> 00:47:13.569
So what happens is you do the call in public and then you have callbacks where

00:47:13.569 –> 00:47:15.139
you can ask some qualifying questions.

00:47:15.139 –> 00:47:19.059
Usually have the CFO and kind of say, what did Jassy mean by this?

00:47:19.059 –> 00:47:22.769
And I suspect they got some clarification on this one because on the call,

00:47:22.769 –> 00:47:24.849
it was super not clear what was going on here.

00:47:26.269 –> 00:47:31.269
And then, so what they said was, let me get this right.

00:47:32.089 –> 00:47:38.580
We decided in Q3 of 25 a year ago, we decided to change our search engine marketing

00:47:38.580 –> 00:47:43.719
program. We decided it’s a better experience for customers to send traffic to

00:47:43.719 –> 00:47:45.249
our search pages on Amazon.

00:47:46.589 –> 00:47:50.339
But he didn’t say like versus whatever. What he was saying was they cut their

00:47:50.339 –> 00:47:52.989
Google shopping bill and they don’t do much on Google.

00:47:53.119 –> 00:47:55.589
I think that’s what clarified down the road.

00:47:56.059 –> 00:47:59.389
They did do an experiment with cutting their Google ad spend,

00:47:59.389 –> 00:48:00.744
and then they turned it back on.

00:48:01.510 –> 00:48:03.600
Here’s what I’m pretty sure he’s talking about.

00:48:04.760 –> 00:48:08.810
They’re the largest Google ad advertiser. And two years ago,

00:48:08.810 –> 00:48:12.480
when they bought ads on Google, those ads went to product detail pages.

00:48:13.919 –> 00:48:17.689
So you did a search on Google. It found a product, and they sent you right to

00:48:17.689 –> 00:48:19.349
a product detail page on Amazon.

00:48:19.663 –> 00:48:22.840
A year ago, they said, oh, we’re not going to send you to product detail pages

00:48:22.840 –> 00:48:25.500
anymore. We’re going to send you to search result pages.

00:48:26.170 –> 00:48:30.820
So instead of going to a PDP that has one SKU on it with a buy box,

00:48:31.690 –> 00:48:37.247
you’re going to a search result page that has eight SKUs on it.

00:48:37.770 –> 00:48:41.610
And then you would click on one of those tiles and that would take you to a product detail page.

00:48:42.089 –> 00:48:44.689
And they’re saying they think that’s a better customer experience.

00:48:45.129 –> 00:48:48.091
We could debate about that. There’s pros and cons to it.

00:48:48.399 –> 00:48:51.979
I think it would depend a lot on what the search query was on Google that led to it.

00:48:53.200 –> 00:48:56.950
It’s more monetizable. You can only, you can’t, like, nobody wants to.

00:48:57.380 –> 00:49:01.970
Yes, you can put more ads on that search results page than you can on the product detail page.

00:49:02.420 –> 00:49:05.270
We’re basically arbitraging Google, which may not work well.

00:49:05.280 –> 00:49:09.410
Because even the Google disclosure, where’s all that going? Yeah,

00:49:09.410 –> 00:49:12.760
yeah. But the cynical portion of me would say, I don’t know if it’s a better

00:49:12.760 –> 00:49:15.840
customer experience or not, but that is absolutely not why you did it.

00:49:16.380 –> 00:49:21.010
Well, maybe this is hidden language for where Google traffic is disappearing on us.

00:49:21.692 –> 00:49:26.029
Well so yeah i don’t i you know i don’t there’s been no discussion of their

00:49:26.029 –> 00:49:29.389
organic traffic from google because it’s happening to reddit if it’s happening

00:49:29.389 –> 00:49:32.519
to everybody everyone i talk to it’s happening to and they’re freaked out it

00:49:32.519 –> 00:49:33.749
has to be happening to amazon,

00:49:34.540 –> 00:49:39.210
on the organic side i just don’t know how meaningful the organic side is right

00:49:39.210 –> 00:49:44.439
like i think again amazon uniquely amazon uniquely is buying 17 billion dollars

00:49:44.439 –> 00:49:47.419
worth of ads from google right so that that,

00:49:48.369 –> 00:49:52.559
those ads are not getting reduced because of AI, right?

00:49:52.559 –> 00:49:57.299
Like the AI, the answer engines and any zero click features on Google,

00:49:58.280 –> 00:50:02.640
you know, universal card, any of those things, those would like be affecting,

00:50:03.260 –> 00:50:09.240
the organic side, which I strongly suspect was already pretty immaterial to Amazon.

00:50:10.819 –> 00:50:15.409
When you’re buying $17 billion worth of ads, the sponsored search result is

00:50:15.409 –> 00:50:17.749
always going to show up above organic,

00:50:17.749 –> 00:50:21.089
and the customer is always going to click on that. So I don’t know.

00:50:21.409 –> 00:50:25.199
I think it’s going to come into play in just a minute, but big picture here,

00:50:25.669 –> 00:50:31.189
Amazon definitely missed their own guidance on ads.

00:50:31.299 –> 00:50:35.609
They missed Wall Street’s guidance on ads. And if you look at it through a certain

00:50:35.609 –> 00:50:38.849
lens, their ad sales slowed way down.

00:50:39.199 –> 00:50:44.710
One thing that I think Andy had used very awkward language on is.

00:50:47.190 –> 00:50:51.940
How Prime Day impacted the change, right? He said like eight and a half basis

00:50:51.940 –> 00:50:54.660
points, but that could mean two different things.

00:50:54.850 –> 00:50:58.560
You took the very simple definition of it and added eight and a half percent.

00:50:59.390 –> 00:51:05.010
Most likely, what most people assume it meant is the gap between Q2 and Q3.

00:51:05.010 –> 00:51:09.570
So while you’d have to add half of it to Q3, you’d have to take half of it out of Q2.

00:51:10.450 –> 00:51:14.260
And so that makes the mis-

00:51:15.220 –> 00:51:20.160
That makes the Amazon Prime Day much more prominent in the miss.

00:51:20.709 –> 00:51:24.039
What’s funny is a bunch of the analysts have came out like, you would think,

00:51:24.939 –> 00:51:28.819
this is simple math to do. Like we know Prime Day was in last year and not this year.

00:51:29.069 –> 00:51:33.129
You’d think all the guidances would have it right. Amazon never gives you enough to figure anything out.

00:51:33.369 –> 00:51:37.429
No, and the analysts all have already come out. A denominator, a numerator, both.

00:51:37.589 –> 00:51:42.759
Our models were wrong, right? Like our models adjusting for the shift in Prime Day were wrong.

00:51:42.759 –> 00:51:47.739
So they knew when they moved Prime Day that this was going to be a big quagmire,

00:51:47.739 –> 00:51:52.989
and it’s ended up being a bigger quagmire, I think, than anyone expected it to be.

00:51:53.329 –> 00:51:55.979
But so three reasons the ad number is lower.

00:51:56.709 –> 00:52:03.849
Constant currency is unfavorable. Prime Day got moved, and it made it easy to

00:52:03.849 –> 00:52:07.469
even misunderstand how to adjust that, and a bunch of people got it wrong.

00:52:08.329 –> 00:52:16.670
And I do think that they’re having more trouble monetizing their ads than they

00:52:16.670 –> 00:52:20.250
used to have, right? And I think this is the exact same problem as Google.

00:52:21.450 –> 00:52:27.969
They said it would be natural to ask if this is an impact from the outside agent traffic.

00:52:28.799 –> 00:52:33.750
And Andy, very similar to Tony, who said the outside agents are totally immaterial.

00:52:34.120 –> 00:52:37.260
Andy also said, no, it’s totally immaterial. And in his case,

00:52:37.260 –> 00:52:40.500
I have to believe him because he blocks all those agents.

00:52:41.200 –> 00:52:45.030
So, of course, they’re not. Yeah, well, then he says, and they all suck.

00:52:45.400 –> 00:52:48.430
Yeah. And it’s like, all right. So, of course, they’re not material.

00:52:48.570 –> 00:52:53.336
But there’s one agent they don’t block, which is Alexa for shopping, AFS, right?

00:52:53.559 –> 00:52:58.949
And in the same way that when you have AI mode in Google has way less ads in

00:52:58.949 –> 00:53:05.399
it than traditional Google search, AFS has way less ads in it than traditional

00:53:05.399 –> 00:53:08.319
A9 search, right? And so if-

00:53:09.130 –> 00:53:12.330
A bunch of the stats on their earnings call were about how many more people

00:53:12.330 –> 00:53:15.480
are using AFS and how popular AFS is becoming.

00:53:15.750 –> 00:53:21.180
And by the way, it’s not totally spoken, but Amazon does exactly the same thing as Google.

00:53:21.400 –> 00:53:26.590
When you type a search query into the search box, Amazon decides that query

00:53:26.590 –> 00:53:29.810
would have been better off as an AFS prompt and it automatically makes it one.

00:53:30.380 –> 00:53:34.140
And so some of the time you just get an AFS answer, even if you didn’t think

00:53:34.140 –> 00:53:38.650
you were using AFS, but for sure, people are using AFS on purpose more.

00:53:38.650 –> 00:53:42.539
And Andy would quickly point out they love it, right? And there’s a bunch of

00:53:42.539 –> 00:53:47.870
benefits to it. And it’s, you know, again, a huge growth on a small denominator,

00:53:47.870 –> 00:53:51.870
like, you know, they’re quoting, you know, huge percentage growth and how many people use it.

00:53:52.260 –> 00:53:54.980
Their bar is kind of low because they’re not saying they use it for every query

00:53:54.980 –> 00:53:56.660
they’re saying ever used it usually.

00:53:57.230 –> 00:54:00.830
So they use a bunch of this, you know, kind of loosey-goosey Amazon language,

00:54:01.110 –> 00:54:05.230
But no matter how you slice it, more people are using AFS, and Amazon has less

00:54:05.230 –> 00:54:10.540
ads in AFS by a large margin. They are getting eaten by Edge of Commerce.

00:54:10.850 –> 00:54:13.910
Yeah, so they are. It’s just their own. It’s the call.

00:54:14.530 –> 00:54:17.830
Yes, the call is coming from inside your house. And it’s outside the house.

00:54:18.450 –> 00:54:22.560
Yeah, I think it’s both. So I don’t think the outside has hurt Google or Amazon

00:54:22.560 –> 00:54:27.050
much yet. I’m not saying it won’t in the long run, but I don’t think we’ve seen that material impact.

00:54:27.400 –> 00:54:32.290
But I think they’re inside the house. things moving to AI mode is like, yes, a hundred percent.

00:54:32.290 –> 00:54:36.570
I think that’s, that is the, the big takeaway from this quarter for me

00:54:36.910 –> 00:54:41.870
is as these, these huge juggernauts move from their old experience to their

00:54:41.870 –> 00:54:46.550
new experience, either because it’s harder to monetize or more likely because

00:54:46.550 –> 00:54:50.790
they’re choosing not to monetize it this early in the adoption cycle.

00:54:51.520 –> 00:54:57.409
Their, their monetization is, is taking a haircut for now, right? Like,

00:54:58.210 –> 00:55:04.170
Why would they do that if they didn’t feel there was, it’s an illogical economic decision to make.

00:55:04.560 –> 00:55:12.110
Why are they doing it? No, why didn’t Facebook have ads like in the first year of existence?

00:55:12.110 –> 00:55:15.350
Or why didn’t Google have it? Like you need to get customers addicted to the

00:55:15.350 –> 00:55:21.910
experience and feeling the value. And then you slowly like slap in the ads.

00:55:23.310 –> 00:55:28.170
I would argue if Google was born with all the monetized pixels that it has today,

00:55:28.170 –> 00:55:29.480
no one would have ever used Google.

00:55:31.119 –> 00:55:36.359
They got everyone addicted to it, and then they slowly pivoted from 100% of

00:55:36.359 –> 00:55:39.089
the pixels being free to 100% of the pixels being monetized.

00:55:39.089 –> 00:55:42.639
And so did Amazon, right? Like product detail pages and search result pages.

00:55:43.439 –> 00:55:48.119
They used to be 100% organic, and they’re 100% paid pixels now.

00:55:48.399 –> 00:55:52.509
And so this is another new thing. Like, and, you know, I feel like the drug

00:55:52.509 –> 00:55:55.349
dealers figured it out. Like the first sample is free, right?

00:55:55.349 –> 00:55:57.909
So, so AFS is free right now.

00:55:58.309 –> 00:56:01.739
Once you get addicted to it, it’s highly unlikely to be free.

00:56:01.739 –> 00:56:06.009
Now people could argue is the only reason it’s not free because they’re trying

00:56:06.009 –> 00:56:09.469
to get you addicted and they’re going to put the exact same ads and the same

00:56:09.469 –> 00:56:12.869
quantity of ads they always did. And we’ll get back to the same equilibrium.

00:56:13.179 –> 00:56:19.129
Or is there an argument that it will, it’s somehow intrinsically harder to monetize

00:56:19.129 –> 00:56:23.119
the, the AFS answers than it is the A9 answers.

00:56:23.409 –> 00:56:29.069
And so, you know, are there some, some user experience challenges that Google

00:56:29.069 –> 00:56:31.589
and Amazon have to figure out? Right. And I think smart people could,

00:56:31.729 –> 00:56:36.319
could quibble about which one of those two scenarios is playing out.

00:56:36.940 –> 00:56:40.590
Yeah. Here’s kind of the hypocrisy that, that people talk to me about and it’s

00:56:40.590 –> 00:56:44.600
kind of two layers. And so take ads out of the equation. Yeah. The hypocrisy is.

00:56:45.269 –> 00:56:48.959
These agentic commerce things stink and you shouldn’t use them.

00:56:49.109 –> 00:56:50.719
But we’ve got one in it. It’s amazing.

00:56:51.009 –> 00:56:55.049
And yeah, it has less inventory than it went out. But it’s our inventory.

00:56:55.049 –> 00:56:57.109
And it’s amazing. Des mentioned that.

00:56:57.389 –> 00:57:00.409
And you can change your subscribe and save settings. Amazing.

00:57:00.759 –> 00:57:04.089
You can do all this other stuff. I do agree it’s very good.

00:57:04.519 –> 00:57:09.339
But I don’t think it’s as far off parity with the other ones as Amazon thinks

00:57:09.339 –> 00:57:12.889
it is. They think there’s like this gulf and they’re actually closer.

00:57:13.499 –> 00:57:18.859
And at the same time they’re like okay that’s one one thing that doesn’t totally

00:57:18.859 –> 00:57:21.579
jive for me and the other one is they’re like we’re gonna

00:57:21.989 –> 00:57:26.059
you know we’re gonna block all incoming bots but please open up for ours because

00:57:26.059 –> 00:57:28.839
we have this sell direct program and we’re just going to scrape the crap out

00:57:28.839 –> 00:57:32.589
of your site and pull your inventory on amazon and there’s this form you can

00:57:32.589 –> 00:57:35.989
kind of find to get out of it we hope you can find it but good luck.

00:57:36.970 –> 00:57:40.050
Yeah we really like your inventory and we’re going to send you free traffic.

00:57:40.660 –> 00:57:44.920
Yeah, I do. I do think that, I mean, there’s, there’s a lot to unpack there,

00:57:44.920 –> 00:57:48.690
but for sure they, they all want to win agents.

00:57:48.690 –> 00:57:52.100
They all want you to use their agent. Right. So Andy, like whether he believes

00:57:52.100 –> 00:57:55.320
it or not, he’s got a very vested interest in saying AFS is awesome.

00:57:55.320 –> 00:57:59.330
People love it. And they’re using it in huge quantities and no one ever wants to use Muse.

00:57:59.330 –> 00:58:04.070
Right. And, and, you know, not only is he, does he have a, a paid financial,

00:58:04.430 –> 00:58:08.520
you know, vested interest in saying that, like, I’m sure he hopes that’s true

00:58:08.520 –> 00:58:10.390
in his heart of hearts. Of course he does. Right.

00:58:11.310 –> 00:58:16.410
And there are things that are better about it. I don’t actually even care if

00:58:16.410 –> 00:58:20.600
it’s better or worse today. What I’m more interested in is like,

00:58:20.600 –> 00:58:22.270
what is the potential for it?

00:58:22.710 –> 00:58:27.920
Like in the future when it’s at scale. Right. And there are things that the

00:58:27.920 –> 00:58:31.210
Amazon provided agent is likely always going to be better at.

00:58:31.990 –> 00:58:35.380
But there are things it intrinsically has a huge disadvantage.

00:58:35.380 –> 00:58:38.280
The biggest disadvantage is that

00:58:38.280 –> 00:58:42.000
the Amazon agent doesn’t work for Scot Wingo. It works for Andy Jassy.

00:58:43.189 –> 00:58:48.870
Yeah. And so it’s always going to be optimized for favorable outcomes for Andy

00:58:48.870 –> 00:58:50.410
Jassy, not for Scot Wingo.

00:58:50.720 –> 00:58:55.490
And there’s a potential that Muse will work for Scot Wingo.

00:58:55.490 –> 00:58:59.130
It certainly wants Scot Wingo to win more than it wants Amazon to win, right?

00:59:00.030 –> 00:59:05.670
Yeah. And so we’ll see if in the long run, if Muse gets equally crapified because

00:59:05.670 –> 00:59:07.710
it wants Mark Zuckerberg to win, right?

00:59:07.710 –> 00:59:15.000
But there’s a chance for these third-party agents to have a way higher trust

00:59:15.000 –> 00:59:20.580
factor because they’re optimized for favorable consumer outputs.

00:59:20.580 –> 00:59:25.390
And no one believes that the retailer agents are optimized for the consumer’s

00:59:25.390 –> 00:59:28.600
benefit, right? Like they’re optimized for the retailer’s benefit. Of course they are.

00:59:29.040 –> 00:59:37.749
And so that’s a big potential advantage. It hasn’t all played out because these are all dubious MVPs.

00:59:37.909 –> 00:59:40.869
None of them could scale even if they wanted. Even if you’re right and I’m wrong

00:59:40.869 –> 00:59:44.770
and Muse is the greatest shopping experience of all times, Meta still doesn’t

00:59:44.770 –> 00:59:48.410
want a bunch of people using it because it’s so expensive to use right now that.

00:59:51.269 –> 00:59:54.499
If it really scaled, they would have to come up with a different financial model

00:59:54.499 –> 01:00:00.299
because there is no way to pay for it as a take rate, which is what they’re

01:00:00.539 –> 01:00:02.469
saying their economic model is now, right?

01:00:03.019 –> 01:00:08.819
There isn’t enough margin in the whole system to pay the inference cost on all of this stuff.

01:00:10.180 –> 01:00:16.970
So we are still… Amazon does it at 15%. Amazon’s take rates like 15%. People pay it every day?

01:00:18.319 –> 01:00:24.820
Yeah, yeah. But so can 15% go to 19% so that Muse can have 4% more? Yeah.

01:00:26.029 –> 01:00:29.439
Uh, well, I think Muse would be happy with five to 10.

01:00:30.490 –> 01:00:34.959
But, but yeah, so if they get five to 10, but that’s still, that’s five to 10

01:00:34.959 –> 01:00:39.229
plus Amazon, right? Because spoiler alert, Muse can’t deliver anything.

01:00:40.119 –> 01:00:44.439
You’re still, you still need someone that has physical goods in that delivery

01:00:44.439 –> 01:00:48.139
network. And for the vast majority of goods, like in our market,

01:00:48.139 –> 01:00:49.812
that’s going to be Amazon.

01:00:50.239 –> 01:00:52.809
Like you take all these data centers they’re building and you just attach a

01:00:52.809 –> 01:00:57.889
small fulfillment center. Boom. Yeah. GPUs and CPG, right? One facility.

01:00:58.289 –> 01:01:01.949
Yeah. Same cooling system. It’s gonna be amazing. Yeah. Yeah.

01:01:02.919 –> 01:01:08.000
The, so this is all early days. It all is going to have to flush out.

01:01:08.000 –> 01:01:11.010
Like it’s a huge mistake to look at any of it right now and say,

01:01:11.380 –> 01:01:14.090
this is as good as it’s going to be. And we should all judge the winners and

01:01:14.090 –> 01:01:16.100
losers based on what it looks like right now.

01:01:16.450 –> 01:01:21.170
Like, as I keep saying, we, the first, this baseball game has not even started.

01:01:21.170 –> 01:01:24.789
We are still in batting practice and it’s super interesting.

01:01:24.789 –> 01:01:31.660
It’s going to be a really exciting game. I’m grateful that we’re all here for it, but it is early days.

01:01:31.660 –> 01:01:36.780
And so I would be super careful about like drawing any long-term conclusions

01:01:36.780 –> 01:01:39.640
from who the winners and losers are, right? If you want to look at the market

01:01:39.640 –> 01:01:42.510
today, vertical agents are the winners.

01:01:42.910 –> 01:01:46.080
The retail agents are getting more adoption and they’re solving more real world

01:01:46.080 –> 01:01:50.290
problems and they’re more viable and more practical to say that that’s what

01:01:50.290 –> 01:01:54.790
the future is going to be, I think would be a huge, huge.

01:01:55.240 –> 01:01:59.880
What I’m saying is a year ago, I started thinking, how would we know if this

01:01:59.880 –> 01:02:01.140
was starting to tip over?

01:02:01.280 –> 01:02:04.040
And I thought, all right, it’s going to happen in discovery first.

01:02:04.040 –> 01:02:06.800
And it was going to start at the research phase and then it’ll get into finding

01:02:06.800 –> 01:02:08.770
it by. It’s going to be this natural progression.

01:02:09.330 –> 01:02:13.050
And just kind of like mobile did and all these things is kind of how it started.

01:02:13.050 –> 01:02:17.860
And then I thought, well, you’ll start to fill it in the ads because if views

01:02:17.860 –> 01:02:19.860
go down, then you’re going to start to feel it.

01:02:20.140 –> 01:02:23.250
And I feel like that’s happening in Google. It’s happening in Reddit.

01:02:24.379 –> 01:02:28.419
I think we have to see some more quarters. We didn’t finish this part.

01:02:29.049 –> 01:02:33.269
The Amazon ad business has been growing at 22. It did have a spike up in Q2

01:02:33.269 –> 01:02:35.109
because of the prime day comp.

01:02:35.219 –> 01:02:39.049
But if you take that out, going forward, everyone’s cut their growth,

01:02:39.049 –> 01:02:44.109
including Amazon, to like 17%. So it’s basically come down. Here’s the math I would think of.

01:02:44.789 –> 01:02:48.429
All this prime day stuff is super confusing. So here’s how to make it all go away.

01:02:48.739 –> 01:02:52.059
Add Q2 and Q3 together and compare Q2. Yeah, absolutely.

01:02:52.169 –> 01:02:57.839
Let’s compare Q3 last year to this year. And the answer is ads are slowing down.

01:02:57.839 –> 01:03:03.059
They were 22, Q2 and Q3 of last year grew 22% from the year before.

01:03:03.359 –> 01:03:06.240
And they grew 19% this year.

01:03:06.480 –> 01:03:09.970
And the guidance for Q4, which didn’t have frown day in either,

01:03:09.970 –> 01:03:14.370
is 17%, right? So no matter how you slice it, ads are slowing down.

01:03:14.770 –> 01:03:19.660
I strongly suspect, that’s still, by the way, a robust growing business.

01:03:19.660 –> 01:03:22.130
And it’s growing on a big number now. It’s shattering.

01:03:22.450 –> 01:03:26.040
I’m just saying like, yeah, but it, but I think it’s intrinsically slowing down.

01:03:26.040 –> 01:03:30.070
And I think the re I personally think the reason it’s slowing down at both Amazon

01:03:30.070 –> 01:03:36.980
and Google is because these new surfaces are starting to win consumer adoption and

01:03:37.350 –> 01:03:42.330
either on purpose or on accident, those new surfaces are not yet monetized to the same degree.

01:03:44.249 –> 01:03:47.929
What if it keeps ticking down? I guess you can just keep saying the same thing. Yeah.

01:03:48.679 –> 01:03:53.819
What would you say? In the long run, by the way, I think this has to advertising

01:03:53.819 –> 01:03:57.199
has to be an important component. And I hate that this is true. I wish it weren’t.

01:03:57.549 –> 01:04:02.880
But when I look at the monetization models and how all this gets paid for,

01:04:04.340 –> 01:04:09.379
I don’t think that billions of consumers are going to pay a big monthly subscription

01:04:09.379 –> 01:04:13.149
to have access to an agent working on their behalf. Rich people will.

01:04:13.719 –> 01:04:18.930
You and i will but like the vast majority of consumers won’t i would like it to have a

01:04:19.220 –> 01:04:23.440
subscribe to get out like a youtube pro kind of a thing i would like i wish

01:04:23.440 –> 01:04:27.050
amazon had that today i would love to pay amazon a higher prime feed not to

01:04:27.050 –> 01:04:30.420
see that the ads 100 and we may we may get that

01:04:30.780 –> 01:04:33.520
some version of that option at some point yeah but.

01:04:35.230 –> 01:04:40.940
Like it’s it’s like pay for use is not for almost nothing. Right.

01:04:41.750 –> 01:04:45.409
The, and then I don’t think it’s going to be take rate. Like,

01:04:45.409 –> 01:04:50.449
I think that could be part of the solution, but like, uh, people care too much

01:04:50.449 –> 01:04:54.759
about the cost of goods. Like, like there’s not just free, like there is a take writer.

01:04:55.119 –> 01:05:00.429
Amazon already has a 15%. Yeah. But again, so that’s fine. Like keep your FBA.

01:05:01.200 –> 01:05:05.520
If you take, no, well, so yes. So if someone puts Amazon out of business,

01:05:05.520 –> 01:05:08.830
but if you’re going to put Amazon out of business, you better have an alternative

01:05:08.830 –> 01:05:13.830
distribution strategy that you think a hundred billions of dollars sound eye-watering.

01:05:13.830 –> 01:05:18.500
Try catching up to Amazon’s distribution network is going to be an even more

01:05:18.500 –> 01:05:23.010
eye-watering number, right? So I just don’t, I think Amazon is going to keep

01:05:23.010 –> 01:05:25.790
getting their take rate or, you know, one way or the other.

01:05:26.519 –> 01:05:30.429
And so I don’t think there’s incremental take rate to just add on the top of

01:05:30.429 –> 01:05:35.959
all this. Like, yes, could someone add more value and take a piece of take rate out of someone else?

01:05:36.139 –> 01:05:37.409
So you’re saying they’ll take

01:05:37.409 –> 01:05:41.049
it out of Amazon, that it’s just as likely they’ll take it out of Visa.

01:05:41.269 –> 01:05:44.129
It’s just as likely they’ll obsolete the old payment methods and say,

01:05:44.129 –> 01:05:46.819
hey, the 3% that cut the cards are good.

01:05:47.659 –> 01:05:52.339
All those will play out. And I’m not saying that take rate won’t be part of the math.

01:05:53.019 –> 01:06:00.719
I suspect it will, but I don’t think that usage fees alone, subscriptions alone,

01:06:00.719 –> 01:06:03.179
or take rate alone are going to pay for this.

01:06:03.179 –> 01:06:08.529
And so I do think ads are inevitably going to be part of the business model

01:06:08.529 –> 01:06:13.849
going forward, as they have in almost every other broadly adopted consumer technology.

01:06:14.579 –> 01:06:18.589
Yeah, if you, unfortunately, we’re out of time. Well, if this is interesting

01:06:18.589 –> 01:06:22.859
to you and you want to see some of the math on this, we’re happy to share the analysis we’ve done.

01:06:23.159 –> 01:06:28.049
And then, you know, I think both Jason and I’ll be posting about this and there’ll

01:06:28.049 –> 01:06:30.609
be a Wall Street call. Sometimes they’ll let us invite folks to that.

01:06:30.609 –> 01:06:33.949
So let us know if you’re interested in this topic and we can go even deeper

01:06:33.949 –> 01:06:36.269
on it. If you can imagine such a thing.

01:06:37.079 –> 01:06:40.759
I, you know, I’m remit, like I feel like we wrote notes for like a four hour

01:06:40.759 –> 01:06:41.959
show that thank God we’re not going to do.

01:06:41.959 –> 01:06:46.120
But one thing I did mean to mention is since our last episode,

01:06:46.540 –> 01:06:50.020
I’ve taken a bunch of this data that we keep talking about on the show and I’ve

01:06:50.360 –> 01:06:53.530
made it all available in real time on my website.

01:06:53.530 –> 01:06:59.319
So at retailgeek.com, there’s now retail, there’s a data tab and you can go to that data tab.

01:06:59.659 –> 01:07:02.829
All the real-time retailer comps are on there. So right now you can see how

01:07:02.829 –> 01:07:07.909
Amazon performed against every other retailer on their, their North American comps.

01:07:08.160 –> 01:07:11.959
You can, many of them, it’s not a gap number, but many of them disclose their

01:07:11.959 –> 01:07:16.479
digital growth. So you can compare Amazon and Walmart’s digital growth in real

01:07:16.479 –> 01:07:17.809
retail time on the website.

01:07:18.499 –> 01:07:21.999
I did a lot of gaming geeks freak out on LinkedIn over when they find that they’re

01:07:21.999 –> 01:07:24.459
like, Oh my God, this is life changing. Yeah. Yeah.

01:07:25.539 –> 01:07:30.589
I have one for all the U S department of commerce data. And I have one for,

01:07:30.589 –> 01:07:34.789
so I have the comps, the U S department of commerce data, and I have the size

01:07:34.789 –> 01:07:37.959
of the U S all the big U S retailers on an annual basis.

01:07:37.959 –> 01:07:43.429
So plenty of data for anyone that wants to put their own hypothesis together on any of this.

01:07:44.480 –> 01:07:48.400
Awesome. You want to take us home? I will. Hopefully this has been interesting.

01:07:48.400 –> 01:07:52.568
Lots more to talk about on this one. So I’m sure you haven’t heard the last of us on it.

01:07:52.999 –> 01:07:56.039
But until next time, happy e-commercing.

01:07:57.659 –> 01:08:02.019
You’ve been listening to The Jason and Scot Show. For all the latest news and

01:08:02.019 –> 01:08:07.249
trends on e-commerce and shopper marketing, subscribe to us on iTunes or visit

01:08:07.249 –> 01:08:09.069
jasonandscot.com. out.