moment constructed around that I would that I would contend is the sort of the the table stakes sort of based on. So starting in sequence from that you have early November that's going to be you know the start of the month maybe end of October the first week or two in November.
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e-commerce playbook podcast I'm your host Richard Gaff and director of digital product strategy here at Common Threat Collective and I mean that literally this time because I am here in the studio with our president Mr. Luke Austin sitting right across for me and obviously this is exciting
“for me because it's the first time I think I've done it I think I did one with Tony maybe a little while ago”
but just being a person it's a good vibe and we're ready to talk about Q4 here with y'all but Luke how you doing man? How do I do it? I'm doing great. Yeah, we're fresh off a little midday hyerox work out where nine weeks, nine weeks out from hyerox and I'm so the group of us participating in that that the stakes the stakes are high got my pro pro mix protein shake here as a after work out recovery course thinking about black Friday, cyber Monday can't for I mean it's all kind of
you're talking about it's all kind of working it's all kind of working right now and I do want to clarify for the audience that I'm not one of the people trading for hyerox coming up in nine weeks or whatever so I'm not going to sort of steal that thunder there but yeah let's go ahead and roll into it so what we're talking about today is what we call the power 30 and the power 30 are the
30 most important days of the calendar for every brand so here's the key stat kind of for this which
is that 55% of Q4 website revenue comes in the power 30 which for this year will be November the 17th through December the 16th so I guess we can characterize that as like a couple weeks before and a couple weeks after black Friday so that represents 32.6% of the Q4 calendar but of course
“recounts accounts for 55% of that revenue so what we want to talk about today I think is obviously”
the why of it but maybe more specifically what the brands that really won this power 30 span did that other brands didn't do and looks going to break that down for us but let's yeah I'll further review look like what talk me a little bit more about this 30 day period and how the best brands take advantage yeah so I think there's two I think there's sort of two ways to think about the this conversation and they sort of sequence and one is like what is the what is the basic
shape of the next two months really that we're headed into November and December what are the core moments that are like the table stakes right like the like scaffolding that branch it built
around and then from there this the second sequence is okay what is within that sort of scaffolding
general structure what are all the ways that brands are taking that to the next level right adding it making making the making the home really their own and improving on it so and it's and it's interesting the the interesting thing about the the seat that we sit in at CTC and our data set of hundreds of brands and billions of dollars in GMV is naturally larger data sets tend to when you look at the averages across larger data sets it tends to sort of like smooth out the anomalies right and you sort
of like get this like cluster and the 80% out in the middle that's like oh like generally brands do these things right but it but that does two things which is like the the 10% outlier on sort of either side are the really interesting cases that you can sort of pull into pull into the middle and and what it also does for us is it highlights just how wide when you when you step back and don't look at the the data set from like an aggregate average standpoint and really at an individual brand basis
what highlights is how wide that has between what how how people are approaching queue for generally off for strategy create a strategy email sequencing like all of the components that there's people doing really really interesting things that we all don't know about and we're doing it sort of the way that we've done it and maybe iterating on past years etc so it's a it's a it's a fascinating place to sit in I think one that we want to continue to think about okay we have this
aggregate data set that's sort of a baseline that's the scaffolding step one but then how do we