WEBVTT NOTE This file was generated by Descript 00:00:01.290 --> 00:00:04.859 Speaker: We've got Orange Credo, the Casa-Cast, our company's neato, 00:00:04.859 --> 00:00:11.340 the Casa-Cast, created by CosaGo, it's time for the show, let's go! 00:00:14.420 --> 00:00:16.229 Steve V2: Hey, welcome to Casa-Cast, I'm your host Steve Schwab, today 00:00:16.229 --> 00:00:17.869 I'm here with Ash from Adaptive. 00:00:18.099 --> 00:00:19.050 Ash, welcome to the show. 00:00:19.060 --> 00:00:20.489 Thanks for having me, excited to be here. 00:00:20.680 --> 00:00:23.640 Ash, recently we put Adaptive onto CosaGo. 00:00:23.680 --> 00:00:27.509 com, and we're super excited about that, but before we get into that, I 00:00:27.509 --> 00:00:30.879 want to ask you a little bit about your background, you started off at Google. 00:00:31.625 --> 00:00:32.415 Speaker: I did. 00:00:32.494 --> 00:00:37.185 I joined in 2005 as one of the founding core team members of a 00:00:37.185 --> 00:00:38.845 platform called Google analytics. 00:00:38.845 --> 00:00:42.115 I actually have my own little company in school where I built and sold 00:00:42.124 --> 00:00:44.735 gaming computers and use the company called urchin, which got bought 00:00:44.735 --> 00:00:47.515 by Google, became Google analytics and the rest is kind of history. 00:00:47.515 --> 00:00:50.435 So as you know, I can't really shut up about data and insight. 00:00:50.635 --> 00:00:50.845 Yeah. 00:00:50.875 --> 00:00:53.235 And that's how I got here to adaptive after a long 00:00:53.245 --> 00:00:54.004 Steve V2: stint at Google. 00:00:54.285 --> 00:00:55.295 That's really cool. 00:00:55.644 --> 00:01:00.644 So Ash, Explain to everybody listening exactly what Adaptive does. 00:01:00.695 --> 00:01:01.474 Speaker: Yeah, absolutely. 00:01:01.474 --> 00:01:05.825 Adaptive is a purpose built AI platform for the vacation rental industry. 00:01:06.225 --> 00:01:09.035 Our whole goal is, is why should hospitality and guest 00:01:09.035 --> 00:01:11.115 experience start after they book? 00:01:11.414 --> 00:01:14.729 We use our AI platform to learn and understand what's going on. 00:01:14.880 --> 00:01:19.900 What people like a Sago or, or, or users at Casago prefer to look at, 00:01:19.910 --> 00:01:23.690 see and interact with to ensure that the entire experience from start 00:01:23.690 --> 00:01:28.400 to finish is hyper tailored, hyper personalized to each and every Casago 00:01:28.430 --> 00:01:30.380 guests at each and every touch point. 00:01:30.970 --> 00:01:31.949 Steve V2: And so how does it do that? 00:01:31.960 --> 00:01:35.970 What is going to be the journey that the guest has because 00:01:35.970 --> 00:01:37.530 of the adaptive on casago. 00:01:37.530 --> 00:01:39.569 com different than without it? 00:01:39.950 --> 00:01:40.290 Speaker: Yeah. 00:01:40.290 --> 00:01:42.770 So, so the first thing is we strongly believe that for any good 00:01:42.790 --> 00:01:46.270 AI strategy, you need a good data strategy and for that we need to learn. 00:01:46.620 --> 00:01:51.090 So what Adaptive is doing right now is learning about what people have done 00:01:51.090 --> 00:01:54.740 when they've interacted with Casago from the start of the full data set. 00:01:55.100 --> 00:01:58.289 Once we learn what that looks like, we're able to kind of find the 00:01:58.290 --> 00:02:01.910 patterns that it would take humans a very long time to actually find out. 00:02:02.250 --> 00:02:05.120 And we start putting together these cohorts of, you know, Who people 00:02:05.120 --> 00:02:07.800 are, what they like to look at, why they're booking, understand kind 00:02:07.800 --> 00:02:09.259 of that why around a lot of it. 00:02:09.690 --> 00:02:14.180 Once we understand that we're able to start tailoring a brand new 00:02:14.190 --> 00:02:16.140 user's experience with Casago. 00:02:16.700 --> 00:02:19.109 It's super personalized, hyper tailored to exactly what we think 00:02:19.109 --> 00:02:20.249 they want to look at and see first. 00:02:20.249 --> 00:02:24.049 So it's heavily rooted in learning and finding patterns around human behavior 00:02:24.340 --> 00:02:27.390 that allows us to give people just the best experience across all of Casago. 00:02:28.394 --> 00:02:31.754 Steve V2: Will they see specific homes or will they have specific messaging? 00:02:31.765 --> 00:02:34.084 Like what will that guests get to see any and all 00:02:34.084 --> 00:02:34.394 Speaker: of that? 00:02:34.404 --> 00:02:37.244 So without them even realizing it, they're going to see homes that are. 00:02:37.680 --> 00:02:41.410 The best suited for them and that vacation at that touch point, they're 00:02:41.410 --> 00:02:44.510 going to see search results that are hyper tailored towards them as well. 00:02:44.730 --> 00:02:48.130 Even down to the way email marketing and messaging is structured will 00:02:48.130 --> 00:02:49.810 be tailored directly to them. 00:02:50.079 --> 00:02:52.850 The goal being giving them better guest experience and for Sago, 00:02:53.070 --> 00:02:55.709 having more people come back and book with you and stay with you as well. 00:02:55.739 --> 00:02:56.069 Yeah. 00:02:56.450 --> 00:03:00.410 Steve V2: And you've seen some lift in conversion rates from lookers who've 00:03:00.410 --> 00:03:04.769 come to a website to becoming bookers who are actually coming and staying. 00:03:04.769 --> 00:03:04.819 Um, 00:03:06.809 --> 00:03:10.379 Speaker: We've seen some significant lift, so definitely double digits on average 00:03:10.379 --> 00:03:16.069 20 to 30 percent in revenue increases for people that are happily willing to spend 00:03:16.069 --> 00:03:20.879 more for a better guest experience just by having a personalized and hyper tailored 00:03:21.209 --> 00:03:21.989 Steve V2: booking process. 00:03:22.319 --> 00:03:28.859 So this isn't just the website interacting in a unique way to that guest. 00:03:29.540 --> 00:03:34.429 It's also interacting with emails and messaging afterwards, or 00:03:34.429 --> 00:03:35.679 is there messaging in between? 00:03:36.265 --> 00:03:36.614 Speaker: It is. 00:03:36.614 --> 00:03:36.774 So 00:03:36.784 --> 00:03:37.054 Steve V2: it's actually 00:03:37.054 --> 00:03:38.724 Speaker: interacting across all touch points. 00:03:38.734 --> 00:03:40.954 So naturally, people usually start with the website to 00:03:40.954 --> 00:03:42.174 kind of start browsing around. 00:03:42.504 --> 00:03:46.054 But once we figure out that they're actually looking at a vacation or a 00:03:46.054 --> 00:03:49.484 potential stay, we're able to kind of tailor that across all touch points. 00:03:49.484 --> 00:03:50.784 So email is a strong part of it. 00:03:51.184 --> 00:03:54.104 The email campaigns they get, either before they book or after they book, 00:03:54.114 --> 00:03:57.825 are going to have that same level of intelligence and all powered by the same 00:03:57.854 --> 00:04:01.379 underlying platform across any which way they interact with the website. 00:04:02.329 --> 00:04:05.720 The cool thing is the level of insight we're able to give Casago 00:04:05.720 --> 00:04:09.990 and the franchisees is super detailed as to what kinds of people 00:04:10.189 --> 00:04:11.559 are most likely to book for them. 00:04:11.559 --> 00:04:14.769 And essentially you can take that info and use it any which way you want, but it 00:04:14.939 --> 00:04:16.749 expands beyond just the website for sure. 00:04:16.939 --> 00:04:19.839 Steve V2: And how often do we get those reports or dashboards? 00:04:19.839 --> 00:04:21.839 How, like, how does, how do we get that data? 00:04:21.920 --> 00:04:23.900 And then how often is it updated? 00:04:24.000 --> 00:04:26.510 Speaker: Yeah, so it is updated daily at the, at the moment. 00:04:26.520 --> 00:04:27.040 We can certainly. 00:04:27.320 --> 00:04:30.000 Throw all that up and get more closer to real time. 00:04:30.000 --> 00:04:33.520 I think I'm not going to quote real time until I talked to my CEO, but 00:04:33.820 --> 00:04:36.479 certainly daily at the moment here was a full reporting interface for 00:04:36.480 --> 00:04:39.839 you to go in and really check, uh, and see what performance looks like. 00:04:39.859 --> 00:04:41.770 And that's the one thing I love about the company. 00:04:42.109 --> 00:04:43.669 Is that the data speaks for us? 00:04:43.669 --> 00:04:47.189 We don't have to sell you on necessarily the data will say if we're performing 00:04:47.189 --> 00:04:50.710 well or not, but we do get the reporting frequently, at least once a day. 00:04:51.010 --> 00:04:53.859 Other than that, we're actually able to tailor anything directly to your needs. 00:04:53.859 --> 00:04:56.679 If we need reporting in your own platform, we can build that out for you as well. 00:04:56.719 --> 00:04:57.080 It's really 00:04:57.080 --> 00:04:57.549 Steve V2: cool. 00:04:57.899 --> 00:05:02.280 And what kind of KPIs should we be looking at as we go forward with adaptive 00:05:02.280 --> 00:05:05.969 and say, you know, one of the teammates or one of the franchise partners 00:05:05.969 --> 00:05:08.109 is looking at, you know, the data. 00:05:08.729 --> 00:05:10.570 What are some of the more important. 00:05:11.045 --> 00:05:13.935 Data sets that they can interpolate into. 00:05:14.755 --> 00:05:15.645 Real action for them. 00:05:15.825 --> 00:05:18.205 Speaker: Yeah, so so the first thing I'm going to say is revenue always 00:05:18.205 --> 00:05:20.724 solves all right So understanding them, you know apples apples are 00:05:20.724 --> 00:05:24.664 we driving you more of a lift in bookings and associated revenue or not? 00:05:25.094 --> 00:05:28.885 That's always kind of the fun one a and b which one has more money But 00:05:28.895 --> 00:05:32.234 more than that revenue per visitor as well as overall lifetime value 00:05:32.264 --> 00:05:34.939 people coming back Because if they had a good experience or really good 00:05:35.350 --> 00:05:37.840 You know, key ones to keep track of. 00:05:38.200 --> 00:05:40.380 During a proof of concept, we, we test everything. 00:05:40.380 --> 00:05:43.459 We want to make sure that we're aligning to every possible KPI that 00:05:43.460 --> 00:05:47.169 matters to each franchisee, but we usually start with baseline revenue 00:05:47.170 --> 00:05:49.159 lift and revenue per visitor to kind of 00:05:49.159 --> 00:05:50.020 Steve V2: prove out the concept. 00:05:50.159 --> 00:05:50.780 Those are good ones. 00:05:51.200 --> 00:05:53.490 And so now we've already got you on casago. 00:05:53.520 --> 00:05:56.470 com, but you know, we also have a lot of partner websites. 00:05:56.480 --> 00:06:01.030 If one of the partners want to go ahead and put adaptive on their 00:06:01.070 --> 00:06:03.340 own area specific Costco website. 00:06:04.030 --> 00:06:04.919 How would they go about doing that? 00:06:05.650 --> 00:06:05.919 So 00:06:05.919 --> 00:06:06.739 Speaker: definitely talk to us. 00:06:06.979 --> 00:06:10.189 We can figure out, first of all, what data is available for us to train on 00:06:10.419 --> 00:06:11.950 and how to make that data meaningful. 00:06:12.219 --> 00:06:15.309 Most of my life at Google was spent around talking about how to 00:06:15.309 --> 00:06:18.549 destructure data silos and start making that information useful for you. 00:06:18.919 --> 00:06:21.629 Once we get an idea of what we're working with, we can then start 00:06:21.629 --> 00:06:25.450 putting the pieces together for you to understand In a meaningful way, 00:06:25.690 --> 00:06:28.140 how do we leverage this information to give the guest a better experience? 00:06:28.150 --> 00:06:30.900 So, very long way of saying, let's talk. 00:06:31.270 --> 00:06:33.539 Part of our process is a no cost data assessment. 00:06:33.549 --> 00:06:35.570 We look at, what do we have in store? 00:06:35.820 --> 00:06:37.969 And then we tell you, here's exactly what we can do for 00:06:37.969 --> 00:06:39.099 Steve V2: you, before we even get started. 00:06:39.440 --> 00:06:40.010 That's really cool. 00:06:40.310 --> 00:06:44.009 And so, is it just code placed into the website itself? 00:06:44.009 --> 00:06:45.429 Does it slow the website down? 00:06:45.439 --> 00:06:48.704 Is there any interactive things that they would have to do that would help? 00:06:49.155 --> 00:06:51.284 Harm the guest process as they go through that. 00:06:51.305 --> 00:06:53.034 Is there anything like that they need to be thinking about? 00:06:53.435 --> 00:06:56.065 Speaker: So, no, we want to make this as, as low lift as possible. 00:06:56.075 --> 00:06:58.604 It is a line of code placed in the actual website template. 00:06:58.914 --> 00:07:00.784 There should be no latency issues whatsoever. 00:07:00.784 --> 00:07:03.075 And I always say should, because never say never, you never know. 00:07:03.405 --> 00:07:04.815 with any piece of technology. 00:07:05.135 --> 00:07:08.205 That being said though, we do load asynchronously where if for some 00:07:08.205 --> 00:07:12.105 reason Adaptive does not load, you'll default back to what you already have. 00:07:12.105 --> 00:07:14.034 So there's no impact to guest experience. 00:07:14.104 --> 00:07:14.354 Right. 00:07:14.405 --> 00:07:16.644 Hasn't happened before, don't think it'll ever happen, but 00:07:16.644 --> 00:07:17.644 there's always a backup plan. 00:07:17.644 --> 00:07:17.934 Sure. 00:07:18.104 --> 00:07:21.764 Aside from that low level lift, once that code's on, the onus is on Adaptive to 00:07:21.764 --> 00:07:25.675 design, deliver, and continuously improve and learn off the data that we have. 00:07:25.724 --> 00:07:26.034 Yeah. 00:07:26.765 --> 00:07:27.435 Steve V2: That's fantastic. 00:07:27.505 --> 00:07:28.825 Ash, I really appreciate you coming on. 00:07:28.835 --> 00:07:30.034 You're here at Cost of the Con. 00:07:30.034 --> 00:07:30.085 Yeah. 00:07:30.554 --> 00:07:31.585 This is your first Casacan, right? 00:07:31.624 --> 00:07:32.765 It is, and I'm having a blast. 00:07:32.775 --> 00:07:33.054 Yeah? 00:07:33.145 --> 00:07:33.874 Love it so far? 00:07:34.044 --> 00:07:34.884 Love it so far. 00:07:35.224 --> 00:07:38.275 So I'll ask this to everybody who comes on, uh, Casacast. 00:07:38.314 --> 00:07:40.015 What's your favorite thing about Casago? 00:07:41.659 --> 00:07:44.400 Speaker: Biggest thing is a forward thinking mentality. 00:07:44.469 --> 00:07:48.419 I know it sounds facetious here, but having worked in tech for so long, I kind 00:07:48.419 --> 00:07:53.010 of take it for granted that not everyone may be willing or open to looking at brand 00:07:53.010 --> 00:07:54.810 new technology with a legacy industry. 00:07:55.229 --> 00:07:57.839 With Kasago though, working with obviously folks like you and your 00:07:57.839 --> 00:08:02.530 entire team, the idea of how do we push the boundary and hold our partners 00:08:02.530 --> 00:08:04.730 accountable is exactly what I loved. 00:08:05.105 --> 00:08:08.205 And from our first conversation until now, it's a true partnership. 00:08:08.205 --> 00:08:12.185 It feels like, how do we get better and do right by you by using our technology 00:08:12.185 --> 00:08:13.835 to also improve on our end too. 00:08:13.835 --> 00:08:16.895 So I just love the fact that you're willing to embrace new tech and hold us 00:08:16.895 --> 00:08:17.365 Steve V2: accountable. 00:08:17.655 --> 00:08:20.834 Well, we're really excited about the partnership and the tech 00:08:20.844 --> 00:08:22.584 and the potential of the lift. 00:08:22.584 --> 00:08:24.345 And you know, you've been wonderful to work with. 00:08:24.360 --> 00:08:27.930 I'm really excited to have you back on as results start coming in and 00:08:27.930 --> 00:08:29.520 telling the the partners about it. 00:08:29.610 --> 00:08:31.950 Getting in more bookings and driving revenue for the 00:08:31.950 --> 00:08:33.659 homeowners and for our partners. 00:08:34.289 --> 00:08:35.250 Big old rocket ship, Steve. 00:08:35.250 --> 00:08:35.640 Let's do it. 00:08:35.700 --> 00:08:35.850 Yeah. 00:08:35.880 --> 00:08:36.810 So thanks for coming on Nash. 00:08:36.870 --> 00:08:37.380 Thanks for having me. 00:08:37.380 --> 00:08:37.710 Appreciate you 00:08:42.960 --> 00:08:46.050 to be, just don't call in in there. 00:08:51.150 --> 00:08:52.365 We got orange credo.