WEBVTT 1 00:00:00.159 --> 00:00:04.119 So path to conversion fits into the omnichannel mix because it allows 2 00:00:04.159 --> 00:00:08.139 you to actually take a look at every single channel touch point before a user 3 00:00:08.199 --> 00:00:09.340 makes a conversion. 4 00:00:13.799 --> 00:00:17.579 Path to conversion, it is very granular, where it breaks into all those 5 00:00:17.659 --> 00:00:21.520 different channels. However, sometimes manually optimizing based on these 6 00:00:21.619 --> 00:00:25.379 insights is quite difficult. So what omnichannel optimizations 7 00:00:25.439 --> 00:00:29.079 does is that it's taken the learnings from those path to conversion reports. 8 00:00:29.139 --> 00:00:32.959 It automatically allows me to optimize my channel paths to have 9 00:00:33.040 --> 00:00:36.939 higher channel overlap, which then is seeing lower CPAs and higher 10 00:00:37.000 --> 00:00:40.899 conversion rates. This is very different to traditional last 11 00:00:40.979 --> 00:00:44.539 touch CPA type reporting, where you only see 12 00:00:44.639 --> 00:00:48.259 correlation in the sense that you only see the last channel that 13 00:00:48.360 --> 00:00:51.879 caused that particular user to convert, whereas path to 14 00:00:51.919 --> 00:00:55.759 conversion, as like the name suggests, you actually see every single channel 15 00:00:55.819 --> 00:00:58.819 touch point before that user makes that conversion.