1 00:00:02,280 --> 00:00:02,800 Hi guys. 2 00:00:02,800 --> 00:00:04,000 Welcome to this session. 3 00:00:04,000 --> 00:00:09,240 So in this session we want to talk about the first tool which is going to be email delivery optimization 4 00:00:09,280 --> 00:00:09,680 tool. 5 00:00:09,840 --> 00:00:14,280 So this tool is basically used for optimizing your delivery of emails. 6 00:00:14,480 --> 00:00:21,480 So ideally what we are looking at here is that this tool is going to help you to optimize when to send 7 00:00:21,480 --> 00:00:22,480 out the emails. 8 00:00:22,520 --> 00:00:26,920 The best time to send out emails to your contact people. 9 00:00:27,160 --> 00:00:30,360 So for that we are going to use the tool which is $0.07. 10 00:00:30,360 --> 00:00:32,320 So these are the benefits of this tool guys. 11 00:00:32,320 --> 00:00:36,520 The first thing which it does is it's going to optimize your email delivery okay. 12 00:00:36,520 --> 00:00:41,040 It's going to look at the user's behavioral profiling to win the attention. 13 00:00:41,040 --> 00:00:45,720 So it will look at there can be different ways people check out emails during different time of the 14 00:00:45,760 --> 00:00:46,200 day. 15 00:00:46,560 --> 00:00:46,880 Right. 16 00:00:46,880 --> 00:00:49,960 So it's going to look at that particular pattern of it. 17 00:00:49,960 --> 00:00:55,640 And based on which the AI tool will try to send out the email during the best send time. 18 00:00:55,640 --> 00:01:00,880 And also it will look at the email frequency, there can be possibility that there are people who only 19 00:01:00,880 --> 00:01:07,640 prefer seeing one marketing email to send to them, or there can be people who require multiple reminders 20 00:01:07,640 --> 00:01:10,320 being sent and then they take an action on it. 21 00:01:10,320 --> 00:01:17,640 So based on looking at each contact's past pattern behavioral pattern, the AI tool will optimize the 22 00:01:17,640 --> 00:01:18,520 email delivery. 23 00:01:18,880 --> 00:01:22,440 So it will also optimize all your email marketing campaigns. 24 00:01:22,440 --> 00:01:25,980 And it can be integrated with HubSpot and Marketo. 25 00:01:26,340 --> 00:01:28,980 Okay, so these are all the features of this tool. 26 00:01:29,140 --> 00:01:32,900 Let me show you how the you can access this from the sheet as well. 27 00:01:33,340 --> 00:01:39,100 So once you come to the sheet this is where you can come and you can go to their website which is $0.07. 28 00:01:39,860 --> 00:01:42,180 So this is the website guys where we can come. 29 00:01:42,340 --> 00:01:45,140 Let's have a look at an intro video of the tool. 30 00:01:45,180 --> 00:01:46,460 What it actually does. 31 00:01:48,860 --> 00:01:51,820 This is a very important email carrying your newsletter. 32 00:01:52,260 --> 00:01:53,340 And this is Sandra. 33 00:01:53,820 --> 00:01:56,620 Sandra blew right past your newsletter on Wednesday morning. 34 00:01:56,900 --> 00:02:01,100 She only had time to check for last minute updates before her weekly webinar recording. 35 00:02:01,860 --> 00:02:03,980 She'll be doing her research on Sunday evening. 36 00:02:04,540 --> 00:02:07,860 Unfortunately, your newsletter will be buried by then. 37 00:02:08,540 --> 00:02:13,940 $0.07 analyzes the historic engagement patterns for each person in your marketing automation platform, 38 00:02:14,220 --> 00:02:19,700 then builds an ever improving model to predict when each subscriber on your list is most likely to engage. 39 00:02:20,140 --> 00:02:23,460 Personalized 1 to 1 and available at scale. 40 00:02:23,980 --> 00:02:28,500 That means customers like Sandra get your email exactly when they're most likely to engage with it. 41 00:02:29,060 --> 00:02:32,180 $0.07 email delivery optimization. 42 00:02:35,020 --> 00:02:37,820 So this is the use case of this tool is AI. 43 00:02:37,980 --> 00:02:41,660 And you can use this for optimizing your email campaigns going forward. 44 00:02:41,820 --> 00:02:42,980 I hope this makes sense. 45 00:02:43,140 --> 00:02:47,700 Thank you so much guys for listening in to this session, and I will see you in the next video.