WEBVTT 00:00:00.083 --> 00:00:02.043 - Being able to collaborate 00:00:02.043 --> 00:00:06.673 and bring together a whole new picture of the consumer 00:00:06.673 --> 00:00:09.509 and use that to power campaigns 00:00:09.509 --> 00:00:11.720 is a really exciting opportunity. 00:00:12.012 --> 00:00:14.389 - Alex, Ryan, welcome. 00:00:14.389 --> 00:00:16.558 Alex, I wanted to start by asking you, 00:00:16.558 --> 00:00:19.602 how do brands make the most of first-party data 00:00:19.602 --> 00:00:21.104 and using it at scale? 00:00:21.104 --> 00:00:22.564 - You know, our clients are thinking 00:00:22.564 --> 00:00:25.108 of first-party data more than they ever have, 00:00:25.108 --> 00:00:26.901 specifically because a lot of the channels 00:00:26.901 --> 00:00:29.237 that they're advertising on today 00:00:29.237 --> 00:00:31.698 are sharing fewer and fewer signals of them. 00:00:31.698 --> 00:00:33.033 We certainly see this 00:00:33.033 --> 00:00:34.993 with some of our more regulated industries 00:00:34.993 --> 00:00:36.786 like health care and financial services, 00:00:36.786 --> 00:00:39.622 where they aren't able to use the same social signals 00:00:39.622 --> 00:00:41.082 that they could in the past. 00:00:41.082 --> 00:00:42.500 So first-party data is becoming 00:00:42.500 --> 00:00:44.252 increasingly important for them 00:00:44.252 --> 00:00:47.964 to really not only understand who their customers are, 00:00:47.964 --> 00:00:49.674 but to better message to them, 00:00:49.674 --> 00:00:51.301 to better speak to them 00:00:51.301 --> 00:00:53.845 on the right channel at the right time. 00:00:53.845 --> 00:00:56.723 - Ryan, given the importance of first-party data 00:00:56.723 --> 00:00:59.851 for marketers, there's a great opportunity 00:00:59.851 --> 00:01:01.644 to collaborate with partners using it, 00:01:01.644 --> 00:01:03.855 but there's also a fear about privacy. 00:01:03.855 --> 00:01:07.275 How do clean rooms combat that problem? 00:01:07.275 --> 00:01:10.528 - Yeah, yeah, so clean rooms, at their heart, 00:01:10.528 --> 00:01:14.157 are aiming to give dataset owners control 00:01:14.157 --> 00:01:16.159 over how their data is used. 00:01:16.159 --> 00:01:19.204 So with a clean room, you pick the partners 00:01:19.204 --> 00:01:22.082 you're going to work with, you set the rules 00:01:22.082 --> 00:01:25.376 for how that engagement is going to function, 00:01:25.376 --> 00:01:27.087 and then you set the specific rules 00:01:27.087 --> 00:01:29.589 on how your data can be used. 00:01:29.589 --> 00:01:31.257 With AWS Clean Rooms, 00:01:31.257 --> 00:01:33.760 your data is never leaving your control. 00:01:33.760 --> 00:01:36.805 It stays in your environment, under your control, 00:01:36.805 --> 00:01:39.474 and it allows aggregate insights 00:01:39.474 --> 00:01:41.559 to be generated from that data. 00:01:41.559 --> 00:01:45.396 The real key here is that the results of an analysis 00:01:45.396 --> 00:01:46.940 on first-party data 00:01:46.940 --> 00:01:49.943 can be less sensitive than the raw data. 00:01:49.943 --> 00:01:52.904 So clean rooms lets you collaborate 00:01:52.904 --> 00:01:55.615 without having to share that raw data. 00:01:55.615 --> 00:01:58.785 - There are obvious key concerns about privacy, 00:01:58.785 --> 00:02:00.870 and this is now a new solution towards it. 00:02:00.870 --> 00:02:03.540 For you, what are you hearing the most from brands? 00:02:03.540 --> 00:02:04.791 What is their big fear 00:02:04.791 --> 00:02:09.170 about how much they're able to channel first-party data? 00:02:09.170 --> 00:02:10.421 - I'd say our brands, 00:02:10.421 --> 00:02:12.590 they certainly want to know more about their customers, 00:02:12.590 --> 00:02:14.717 but they also don't want to 00:02:14.717 --> 00:02:17.804 trip any red flags where they're going to be, 00:02:17.804 --> 00:02:20.974 especially on channels, I'd say in social, 00:02:20.974 --> 00:02:23.685 where they don't want to make a mistake 00:02:23.685 --> 00:02:27.105 and then be, not banned from advertising, 00:02:27.105 --> 00:02:29.315 but be blocked from reaching certain customers 00:02:29.315 --> 00:02:31.484 through certain channels. 00:02:31.484 --> 00:02:33.027 So, you know, there's this heightened sensitivity, 00:02:33.027 --> 00:02:36.072 I would say, to being overly conservative 00:02:36.072 --> 00:02:40.577 in terms of how they can connect with their customers. 00:02:40.577 --> 00:02:41.744 We see a lot of this, 00:02:41.744 --> 00:02:44.330 I've seen clients specifically around 00:02:44.330 --> 00:02:47.667 new cookie rules and cookie consent. 00:02:47.667 --> 00:02:50.962 Many of our clients, a huge decrease in the actual number 00:02:50.962 --> 00:02:54.507 of prospective customers who are actually coming to a site, 00:02:54.507 --> 00:02:57.302 staying on a site, because of the cookie consent barrier 00:02:57.302 --> 00:02:58.595 that's been put up now. 00:02:58.595 --> 00:03:00.722 So privacy for them, incredibly important, 00:03:00.722 --> 00:03:02.515 but I think many clients have been overly conservative, 00:03:02.515 --> 00:03:06.060 not understanding the lengths to which they should be, 00:03:06.060 --> 00:03:09.772 I would think, asking for that privacy request. 00:03:09.772 --> 00:03:11.774 - Ryan, looking ahead, 00:03:11.774 --> 00:03:14.110 what will differentiate the companies 00:03:14.110 --> 00:03:16.613 that are able to make the most of first-party data 00:03:16.613 --> 00:03:18.281 and security systems like clean rooms 00:03:18.281 --> 00:03:19.991 that can enable them? 00:03:19.991 --> 00:03:21.784 What's the future? 00:03:21.784 --> 00:03:23.286 What would you be advising people? 00:03:23.286 --> 00:03:27.790 - Sure, one of the big things is partnerships. 00:03:27.790 --> 00:03:31.961 So clean rooms solve a security and a privacy problem, 00:03:31.961 --> 00:03:34.505 but they also open up new opportunities 00:03:34.505 --> 00:03:36.257 to be able to bring signals 00:03:36.257 --> 00:03:39.302 from the brand's first-party data, 00:03:39.302 --> 00:03:41.012 signals from the publisher, 00:03:41.012 --> 00:03:42.430 signals from partners. 00:03:42.430 --> 00:03:44.474 So being able to collaborate 00:03:44.474 --> 00:03:49.062 and bring together a whole new picture of the consumer 00:03:49.062 --> 00:03:51.981 and use that to power campaigns 00:03:51.981 --> 00:03:55.777 is a really exciting opportunity that clean rooms open up. 00:03:55.777 --> 00:03:58.154 The other big thing I'd highlight 00:03:58.154 --> 00:04:02.158 is being open to not reinventing the wheel. 00:04:02.158 --> 00:04:04.953 So clean rooms open up new signals, 00:04:04.953 --> 00:04:07.622 they give you new access to data, 00:04:07.622 --> 00:04:10.208 but they don't change the fundamentals. 00:04:10.208 --> 00:04:13.169 So where we see customers really succeeding 00:04:13.169 --> 00:04:16.714 is where they're able to bring the expertise, 00:04:16.714 --> 00:04:20.635 the methodologies that they've honed over years, 00:04:20.635 --> 00:04:24.305 even decades, into a clean room environment. 00:04:24.305 --> 00:04:26.307 - Thank you both for joining us here 00:04:26.307 --> 00:04:29.102 to talk about the future of first-party data. 00:04:29.102 --> 00:04:30.395 - Thank you. - Thanks for having us.