You've only got Connor Rollin and I today, Cody, had to bail on us for the brand new,
very exciting recording of operators build in the launch of Wynx. I was teasing him this morning that he's found a younger, hotter podcast to hang out with and we're feeling a little on the outs. We're excited to see the episode, but we're going to miss him today a little bit. We were all in person this week for the post-script summit, where they sort of debrief us on
“the current state of the business. We talk about the future. I think it's a great jumping off point”
to discuss maybe some of the things that we learned this week as well as how that might affect each of our retention strategies moving forward. It all starts with profile enrichment is kind of what I took away as the foundation of what they're building. I think they're building a very robust, it's more or less a CDP, where they're pulling in all of these data points from post-purchase surveys and two-way conversations with
customers and a bunch of other data sources to basically pull all this into their profile.
So you can understand as many, I don't want to say features, but as many like characteristics or preferences or life events, et cetera, for all of your customers, and then they're basically funneling that into their AI messaging, which is what they're calling shopper, which I think is largely replacing like SMS sales, which we've used a lot in the past and now we're migrating into shopper, and then shopper is basically using all these data points to just create hyper-personalized
messages. So if I'm buying from rich because I just got married and someone else is buying a ring from rich because they just want to have a wedding band to wear when they exercise, post-cribes
“taking all that information, it's creating what I think they're calling memories internally,”
and then they're just their whole future, super hyper-personalized messaging based on all these memories coming into all these different data sources from a variety of places. So I think that's very cool. I think like for us at Hacks Cloud, as we've expanded categories, we're trying to think through how do we segment and push people into the right products and the right messages at the right time, and to me this seems like a really awesome step in that direction compared to what we're
currently doing, which is just like a lot of a water falling of messages, and it's working like we're growing these categories, and we get really good engagement on these lifecycle marketing flows, which to me tells me we are showing relevant messages to relevant audiences, but like could it be even more relevant, if instead of waterfall in these messages, we were utilizing the memories and the data segmentation that post-cribes building out to say, hey, we just had 100,000
people buy in the last 60 days, now instead of waterfalling those people through our lifecycle marketing, we can actually build more intelligent segmentation and say, hey, we're going to put this 3,000 into a nice flow, we're going to put this 1,000 to do an aprons flow at the same time instead of waterfalling people across. So that's that's like one of the use cases I'm the most excited about, but yeah, I mean, really cool stuff from post-cribes, I'm just amazed at how they're building
“and how they run that company. My biggest takeaway, and what I think is like going to be”
undersold a little bit, the AI messaging, the personalization, super, super exciting. This shift to post-cribes 2.0 and like the profile piece of it, you said at CDP light or CDP like those hex code uses CDP currently? Yeah, we use a CDP, we've had one for, I mean, we've been using
the same one for like four years, I think ultimately the goal is to like have a robust enough data
warehouse and ability to query that data warehouse that you no longer needed, but we do still use a CDP because our data warehouse isn't quite there to the point that we've been able to sunset it. So we're really using our CDP for, well, one indexing across like large data sets of consumers and our CDP partners with like, I forget, you know, like Nielsen and there's a handful of other that have massive consumer data sets so you can kind of take your Shopify list and say,
hey, where does our list over under index for certain interest and stuff like that? And then we're using, we're still using our CDP for a lot of our like cohort based analytic segmentation, market basket analysis, stuff like that. So we still do use our CDP quite a bit, I'm in there every week, they were really nice LOM over late on top of it that makes clearing it really easy. So yes, we are, we are still using one. My understanding of CDP is that they really
unify, they make a profile independent of a given channel and that's like, you guys can integrate Clevio and you can integrate Shopify and you can integrate, you know, wherever else you might be collecting any sort of consumer profile and then appending that with additional data so that when you say you can enrich it with Nielsen data and get better insights into those customers, it's happening because it's independent of any given channel. The flip side of this is Clevio,
you cannot have a Clevio profile, I mean, I'm being a little bit simplistic here, but it was this