WEBVTT 00:00:00.166 --> 00:00:02.002 Kimberly, thank you so much for joining us. 00:00:02.210 --> 00:00:05.255 How has AI changed the way you look at customer engagement? 00:00:05.630 --> 00:00:08.216 AI has really kind of expanded the art of the possible 00:00:08.216 --> 00:00:10.468 when it comes to customer engagement. 00:00:10.760 --> 00:00:15.432 The Holy Grail in customer engagement is really all about personalization, 00:00:15.432 --> 00:00:17.851 and the advent of AI has exploded that. 00:00:18.268 --> 00:00:22.147 So it's not only made personalization possible for the customer more so than it 00:00:22.147 --> 00:00:26.026 ever was before, but it's also enabled it at scale. 00:00:26.026 --> 00:00:30.113 So it's really having a significant impact when it comes to customer engagement. 00:00:30.405 --> 00:00:36.202 And then I think the other piece is it's really allowed for a more robust and real 00:00:36.202 --> 00:00:37.912 360 view of the customer. 00:00:38.705 --> 00:00:42.125 With AI, agents are able to pull together a lot of 00:00:42.125 --> 00:00:46.588 disparate AI sources and really, truly give you a richer, robust, 00:00:46.588 --> 00:00:48.965 holistic view of customer insights. 00:00:49.966 --> 00:00:53.970 What does marketing agility mean to you and how do you build it into your teams? 00:00:54.262 --> 00:00:54.971 Great question. 00:00:54.971 --> 00:00:59.976 So marketing agility to me means the ability to respond, test, 00:00:59.976 --> 00:01:01.394 and learn quickly. 00:01:01.728 --> 00:01:06.649 I know it's probably an overused phrase right now, but the change, 00:01:06.649 --> 00:01:08.777 the pace of change is insane. 00:01:08.777 --> 00:01:10.862 The explosion of AI tools is insane. 00:01:11.821 --> 00:01:15.492 Markets are evolving hourly, daily. 00:01:15.825 --> 00:01:19.037 So marketing agility becomes the ability to respond to that. 00:01:19.662 --> 00:01:24.876 Take that into your adapted go to market approach and see how customers react to 00:01:24.876 --> 00:01:29.506 that in real time and building that marketing agility with your teams. 00:01:29.714 --> 00:01:31.883 It really comes down to just a handful of things. 00:01:31.883 --> 00:01:37.263 It's starting with a shared sense of your common goals and what your desired 00:01:37.263 --> 00:01:38.181 outcomes are. 00:01:38.640 --> 00:01:42.227 So when folks have that, it really gives them the freedom and the 00:01:42.227 --> 00:01:46.272 flexibility to work towards those in the most efficient and effective way. 00:01:47.273 --> 00:01:50.860 It's making sure your teams feel comfortable and supported and 00:01:50.860 --> 00:01:53.947 experimenting, And then it's really about giving them 00:01:53.947 --> 00:01:57.408 the tools they need to be able to do their job successfully. 00:01:57.951 --> 00:02:01.579 How can marketing leaders really keep up with this pace of innovation? 00:02:01.579 --> 00:02:03.540 In order to keep up with the pace of innovation, 00:02:03.540 --> 00:02:05.250 and it's challenging, but it's exciting. 00:02:05.250 --> 00:02:07.585 It's, it really all comes down to experimentation. 00:02:07.585 --> 00:02:10.547 It's experimenting yourself as a marketing leader and also encouraging 00:02:10.547 --> 00:02:12.841 your teams to experiment. 00:02:13.091 --> 00:02:17.971 And that experimentation doesn't need to be really formal and heavy-handed. 00:02:17.971 --> 00:02:21.182 In fact, it's, it's better if it kind of happens more organically. 00:02:21.850 --> 00:02:25.353 For example, we have our marketing and insights team 00:02:25.353 --> 00:02:29.983 and they were aware of a challenge that our go to market team was tackling over 00:02:29.983 --> 00:02:35.155 the past few weeks of how they could scale and build bespoke client 00:02:35.155 --> 00:02:38.616 intelligence and they just took it upon themselves. 00:02:38.616 --> 00:02:41.327 It was really kind of a hands on grassroots approach. 00:02:41.661 --> 00:02:45.582 It took them a day or two and they had a really workable solution in place. 00:02:45.582 --> 00:02:47.041 So that was fantastic. 00:02:47.041 --> 00:02:51.421 They were able to pull together hundreds of client insights in a matter of days 00:02:51.421 --> 00:02:52.130 versus weeks. 00:02:52.130 --> 00:02:56.718 But the really exciting part for me was that the infrastructure of the solution 00:02:56.718 --> 00:03:01.264 they created was going to be repurposed for a number of other AI use cases that 00:03:01.264 --> 00:03:03.057 we kind of have in the backlog. 00:03:03.057 --> 00:03:06.519 So it was twofold and it really came about in a matter of a day or two. 00:03:07.061 --> 00:03:08.396 Thank you so much for joining us. 00:03:08.771 --> 00:03:09.147 Thank you.