WEBVTT 1 00:00:00.000 --> 00:00:03.750 Buyers are deeply frustrated with the lack 2 00:00:03.750 --> 00:00:07.200 of preparation from their vendor partners in meetings. 3 00:00:07.200 --> 00:00:09.210 And they, they, they expect more 4 00:00:09.210 --> 00:00:11.190 because they're more knowledgeable and sophisticated. 5 00:00:11.190 --> 00:00:13.170 So we have to meet the customer where they are. 6 00:00:13.170 --> 00:00:16.290 Technology can be an accelerant to this. 7 00:00:16.290 --> 00:00:18.000 Like if you understand how to use it 8 00:00:18.000 --> 00:00:21.870 and leverage it, I mean, I would never get on a sales call 9 00:00:21.870 --> 00:00:25.410 with a customer without using AI as a thought partner 10 00:00:25.410 --> 00:00:27.840 to understand their world, their landscape, 11 00:00:27.840 --> 00:00:29.370 their competitive situation, 12 00:00:29.370 --> 00:00:31.175 what challenges they're likely facing. 13 00:00:31.175 --> 00:00:32.640 You know, you have to do your homework today. 14 00:00:36.240 --> 00:00:41.040 I would say first is a baseline, a good ratio on a, 15 00:00:41.040 --> 00:00:45.810 on a sales meeting is 60% listening, 40% talking. 16 00:00:45.810 --> 00:00:49.530 But so much of selling today is done virtually. 17 00:00:49.530 --> 00:00:51.300 We're all on teams, we're all on Zoom. 18 00:00:51.300 --> 00:00:53.040 So here we are doing this. 19 00:00:53.040 --> 00:00:55.110 AI is a phenomenal sales coach 20 00:00:55.110 --> 00:00:58.320 'cause it will break down a sales conversation 21 00:00:58.320 --> 00:01:00.840 and provide data and insights into 22 00:01:00.840 --> 00:01:02.400 who spent the most time listening, 23 00:01:02.400 --> 00:01:04.050 who spent the most time talking, 24 00:01:04.050 --> 00:01:06.300 what were the quality of questions. 25 00:01:06.300 --> 00:01:08.970 It did, the follow up question, follow up questions, elicit, 26 00:01:08.970 --> 00:01:11.490 probing and looping to understand. 27 00:01:11.490 --> 00:01:14.790 And so like, so you can start to map the quality 28 00:01:14.790 --> 00:01:16.260 of a sales conversation 29 00:01:16.260 --> 00:01:19.770 through technology in a very precise and efficient way. 30 00:01:19.770 --> 00:01:21.630 And I think it's, it's, I, it's one 31 00:01:21.630 --> 00:01:22.890 of my favorite ways to use it. 32 00:01:22.890 --> 00:01:24.570 I think it makes me a better sales person, 33 00:01:24.570 --> 00:01:26.730 a better sales leader and a better sales coach. 34 00:01:26.730 --> 00:01:28.410 And it's black and white. 35 00:01:28.410 --> 00:01:31.110 I mean, you can see the direction of the call, 36 00:01:31.110 --> 00:01:34.200 how engaged the customer was, what kinds 37 00:01:34.200 --> 00:01:35.790 of questions a seller asked. 38 00:01:35.790 --> 00:01:38.520 And then what you can extract from that is knowledge stands 39 00:01:38.520 --> 00:01:42.750 for best practices, domain expertise that you can use 40 00:01:42.750 --> 00:01:44.340 as a coaching and development tool. 41 00:01:44.340 --> 00:01:47.460 Not only with that one rep, but across a commercial team. 42 00:01:51.030 --> 00:01:55.500 AI should fund mentally alter 43 00:01:55.500 --> 00:01:59.280 sales preparation and sales development. 44 00:01:59.280 --> 00:02:02.040 It should be an accelerant to how we learn 45 00:02:02.040 --> 00:02:04.410 because what it's giving you is on the job, 46 00:02:04.410 --> 00:02:05.700 real time feedback 47 00:02:05.700 --> 00:02:09.930 and an ability to precisely audit every single touch point 48 00:02:09.930 --> 00:02:11.220 you have with a customer. 49 00:02:11.220 --> 00:02:14.730 And you take all of that knowledge and data and instill it. 50 00:02:14.730 --> 00:02:17.970 And then what it provides you is pretty efficient 51 00:02:17.970 --> 00:02:21.000 and effective prompting for one, how to prepare, 52 00:02:21.000 --> 00:02:22.830 and two, how to be more effective when you're 53 00:02:22.830 --> 00:02:23.910 in front of the customer. 54 00:02:23.910 --> 00:02:27.540 AI is changing the sales preparation landscape 55 00:02:27.540 --> 00:02:28.800 and there's research on this. 56 00:02:28.800 --> 00:02:30.960 Commercial teams that leverage data 57 00:02:30.960 --> 00:02:33.060 and insights out 58 00:02:33.060 --> 00:02:36.630 of artificial intelligence actually perform 20% 59 00:02:36.630 --> 00:02:38.280 better than those that don't. 60 00:02:38.280 --> 00:02:41.700 And so we, we've, we've think of AI as sort 61 00:02:41.700 --> 00:02:44.610 of this customer facing tool or engine, 62 00:02:44.610 --> 00:02:46.860 but there's so much internal development 63 00:02:46.860 --> 00:02:49.980 that you can extract from those conversations. 64 00:02:49.980 --> 00:02:51.990 And we're having those con, I call 'em moments of truth, 65 00:02:51.990 --> 00:02:53.730 but we're having those conversations every day.