WEBVTT 00:00:00.000 --> 00:00:01.070 align:middle line:90% 00:00:01.070 --> 00:00:04.370 align:middle line:84% Two years ago, we realized that we'd already 00:00:04.370 --> 00:00:08.240 align:middle line:84% set up push notifications easily but there was still 00:00:08.240 --> 00:00:10.190 align:middle line:84% one channel that wasn't available yet, 00:00:10.190 --> 00:00:11.990 align:middle line:90% and that was emails. 00:00:11.990 --> 00:00:14.660 align:middle line:84% And by that time we had accumulated 00:00:14.660 --> 00:00:17.840 align:middle line:84% such a big database of emails that were not actually being 00:00:17.840 --> 00:00:19.220 align:middle line:90% engaged at all. 00:00:19.220 --> 00:00:22.850 align:middle line:84% So we are basically not using that avenue. 00:00:22.850 --> 00:00:26.600 align:middle line:84% As a company we've been working on a lot of machine learning 00:00:26.600 --> 00:00:29.960 align:middle line:84% and AI capabilities within the product, 00:00:29.960 --> 00:00:32.130 align:middle line:84% and when it comes to data as well. 00:00:32.130 --> 00:00:34.100 align:middle line:84% So definitely the CRM team is going 00:00:34.100 --> 00:00:37.430 align:middle line:84% to be focusing on using machine learning and data 00:00:37.430 --> 00:00:42.000 align:middle line:84% science to build more models and understand our users better. 00:00:42.000 --> 00:00:44.210 align:middle line:84% We're just a team of two and within one year 00:00:44.210 --> 00:00:45.920 align:middle line:84% we managed to roll from nine campaigns 00:00:45.920 --> 00:00:48.440 align:middle line:90% to about 129 campaigns. 00:00:48.440 --> 00:00:51.980 align:middle line:84% Number of emails now that we can send out every week 00:00:51.980 --> 00:00:55.520 align:middle line:84% has gone anywhere between 10 to 13 times what 00:00:55.520 --> 00:00:56.862 align:middle line:90% we were able to do way before. 00:00:56.862 --> 00:00:58.820 align:middle line:84% And especially now, we also have the capability 00:00:58.820 --> 00:01:01.430 align:middle line:84% to also run tighter customer journeys, 00:01:01.430 --> 00:01:03.920 align:middle line:84% to increase our conversions by anywhere between two times, 00:01:03.920 --> 00:01:05.540 align:middle line:84% as we're able to speak on a much more 00:01:05.540 --> 00:01:11.590 align:middle line:84% intimate level with the users across multiple touch points. 00:01:11.590 --> 00:01:13.220 align:middle line:84% We are leveraging machine learning 00:01:13.220 --> 00:01:17.420 align:middle line:84% to try and understand those key junctures of customer delight. 00:01:17.420 --> 00:01:19.880 align:middle line:84% We try to use Responsys to help us 00:01:19.880 --> 00:01:23.270 align:middle line:84% to serve those messages to inspire 00:01:23.270 --> 00:01:26.720 align:middle line:84% those key behaviors that inspire you to buy the items you always 00:01:26.720 --> 00:01:30.590 align:middle line:84% been looking for, at those perfect moments that will allow 00:01:30.590 --> 00:01:32.760 align:middle line:90% you to convert the most. 00:01:32.760 --> 00:01:34.320 align:middle line:84% Yeah, one of the interesting features 00:01:34.320 --> 00:01:38.170 align:middle line:84% that Oracle Responsys provides is link tables. 00:01:38.170 --> 00:01:40.880 align:middle line:84% We're able to track the performance of the links 00:01:40.880 --> 00:01:43.029 align:middle line:84% with each of the email campaigns that we send. 00:01:43.029 --> 00:01:44.570 align:middle line:84% There are actually a segment of users 00:01:44.570 --> 00:01:46.970 align:middle line:84% who are very interested in old cars, 00:01:46.970 --> 00:01:50.180 align:middle line:84% and this leads us to a different strategy and approach 00:01:50.180 --> 00:01:52.640 align:middle line:84% in crafting the next few campaigns, which leads to two 00:01:52.640 --> 00:01:54.420 align:middle line:90% times in clickthrough rates. 00:01:54.420 --> 00:01:56.510 align:middle line:84% Another feature of Responsys is allowing 00:01:56.510 --> 00:01:59.810 align:middle line:84% you to view different dynamic content within the same email 00:01:59.810 --> 00:02:00.470 align:middle line:90% campaign. 00:02:00.470 --> 00:02:03.650 align:middle line:84% So for instance, if a user is publicly interested in cars 00:02:03.650 --> 00:02:05.450 align:middle line:84% we're able to insert a few more car 00:02:05.450 --> 00:02:08.509 align:middle line:84% listings within the email campaign with dynamic content. 00:02:08.509 --> 00:02:11.270 align:middle line:84% And this is what enables us to increase our clickthrough 00:02:11.270 --> 00:02:13.750 align:middle line:90% rates by a lot. 00:02:13.750 --> 00:02:15.040 align:middle line:90%