Meeting Title: Omni Introduction - Marketing Date: 2026-02-24 Meeting participants: Greg Stoutenburg, iPhone, Mat Schwarz, Ryon, Judd Kuehling
WEBVTT
1 00:02:45.440 ⇒ 00:02:46.440 Greg Stoutenburg: Hey, Matt.
2 00:02:46.900 ⇒ 00:02:47.630 Mat Schwarz: Hey,
3 00:02:51.020 ⇒ 00:02:51.850 Greg Stoutenburg: Basis, huh?
4 00:02:51.850 ⇒ 00:02:54.189 Mat Schwarz: I think they’re joining, no?
5 00:02:54.850 ⇒ 00:02:56.159 Greg Stoutenburg: Yep, they said yes.
6 00:03:00.300 ⇒ 00:03:05.070 Greg Stoutenburg: Yeah, we got… we got green checks from you, Ryan, and Judd.
7 00:03:06.370 ⇒ 00:03:07.990 Greg Stoutenburg: So, we can give them a minute.
8 00:03:08.170 ⇒ 00:03:14.340 Greg Stoutenburg: You should have an invitation in your email from Omni, that if you click that, you’ll get permission to access.
9 00:03:17.020 ⇒ 00:03:17.630 Mat Schwarz: Okay.
10 00:04:13.190 ⇒ 00:04:14.300 Greg Stoutenburg: I’ll ping them real quick.
11 00:04:16.050 ⇒ 00:04:18.140 Mat Schwarz: Oh, you say I have an invite, let me see.
12 00:04:18.950 ⇒ 00:04:23.070 Mat Schwarz: And I… we have another software that we use called Omni3D.
13 00:04:25.510 ⇒ 00:04:27.330 Mat Schwarz: So, there’s people on the team.
14 00:04:27.330 ⇒ 00:04:28.979 Ryon: Hey guys, sorry a little late.
15 00:04:28.980 ⇒ 00:04:35.880 Greg Stoutenburg: Omni. It’s Omni, right? Omni? Yep, this’ll be from… Omniapp.com.
16 00:04:37.450 ⇒ 00:04:40.579 Mat Schwarz: Ryan, you should have an invitation from Omni in your inbox.
17 00:04:40.940 ⇒ 00:04:44.049 Greg Stoutenburg: If you can click into that, we’ll get you into the app.
18 00:04:44.920 ⇒ 00:04:46.680 Greg Stoutenburg: And let’s remind Judd real quick.
19 00:04:50.230 ⇒ 00:04:51.869 Ryon: Login with Google, I assume.
20 00:04:52.930 ⇒ 00:04:54.820 Greg Stoutenburg: Yep, go right ahead, I just sent it to your email.
21 00:04:56.190 ⇒ 00:04:57.779 Mat Schwarz: Nothing to see here.
22 00:04:58.810 ⇒ 00:05:05.059 Greg Stoutenburg: Yep, good, you found the homepage. So it’s gonna be a white space until we customize it, and that’s one of the things that we’ll walk through in a minute here.
23 00:05:12.390 ⇒ 00:05:14.509 Mat Schwarz: Is Zoran out, Ryan, for the day?
24 00:05:14.960 ⇒ 00:05:17.950 Ryon: Yeah, he’s… Europe. He’s gone right now.
25 00:05:17.950 ⇒ 00:05:23.220 Mat Schwarz: Greg’s the lead on this anyway, but do you want to talk to Zaran? Because I’ve got stuff to talk about tomorrow.
26 00:05:24.060 ⇒ 00:05:28.479 Mat Schwarz: No, like, I needed him to respond to me. It’s been a couple of hours, I asked him two, three times.
27 00:05:28.480 ⇒ 00:05:40.089 Ryon: What about… What about the dashboard? I’m sharing it. He’s… he’s stalling on that because Mitesh and I have been talking attribution right now, so he’ll get it to you pretty soon. We’ll get it to you as soon as we can. Probably tomorrow morning. I’ll get up tomorrow morning and talk to him.
28 00:05:40.530 ⇒ 00:05:43.089 Mat Schwarz: Yeah, but I mean, if we told the agencies.
29 00:05:49.010 ⇒ 00:05:50.239 Judd Kuehling: Hey guys, sorry about that.
30 00:05:50.510 ⇒ 00:05:51.500 Greg Stoutenburg: Hey, Jen, no problem.
31 00:05:51.500 ⇒ 00:05:52.150 Mat Schwarz: joke.
32 00:05:53.530 ⇒ 00:05:56.500 Greg Stoutenburg: Judd, you should have an email invitation from Omni.
33 00:05:56.500 ⇒ 00:05:57.660 Judd Kuehling: Yeah, I see that.
34 00:05:57.840 ⇒ 00:06:00.530 Greg Stoutenburg: So, go ahead and click that, let’s just get everybody in.
35 00:06:00.750 ⇒ 00:06:01.240 Judd Kuehling: Okay.
36 00:06:01.240 ⇒ 00:06:06.550 Greg Stoutenburg: And, by chance, did any of you see the video walkthrough that I put on Slack last Friday?
37 00:06:08.230 ⇒ 00:06:09.579 Judd Kuehling: I haven’t gotten a chance to watch it.
38 00:06:09.580 ⇒ 00:06:25.770 Greg Stoutenburg: Yeah, no problem. Yep, we’ll just go over the same stuff. So, the goal of this, basically, is to, give a minute to let you set up your workspaces and make sure that you’re able to see what you want to see, and then I’ll show you how to use the AI tool to.
39 00:06:25.770 ⇒ 00:06:36.939 Greg Stoutenburg: To query a chart that exists, or to make a new one if you want to, and save it to a custom workbook. And then, you know, if there’s any other questions or anything like that, we can talk about that.
40 00:06:37.100 ⇒ 00:06:45.659 Greg Stoutenburg: Or, you know, or just wrap. So, basically, it’s a little bit of dedicated time to make sure that you are able to get up to speed on the new platform.
41 00:06:47.490 ⇒ 00:06:48.400 Judd Kuehling: Sounds good.
42 00:06:51.690 ⇒ 00:07:07.679 Greg Stoutenburg: So, the reason why there was this initiative to move from Tableau onto Omni is because, Tableau requires more work to get questions answered. And so, what we wanted to do is provide a way to more easily self-service
43 00:07:07.690 ⇒ 00:07:23.470 Greg Stoutenburg: questions, you know, instead of submitting a ticket, or sending one of us a Slack message, and then waiting a couple of days or a week, depending on priorities, you know, to get a new chart built. Now, all of the BigQuery data that would be… that we would just, you know, write a SQL query for on our end.
44 00:07:23.470 ⇒ 00:07:35.860 Greg Stoutenburg: is available and accessible within Omni, and you can just use the AI tool to ask any question you want, and it’ll just auto-select which table or tables, you need to get that information from, and then spit something out for you.
45 00:07:36.060 ⇒ 00:07:38.009 Greg Stoutenburg: It’s pretty fast, it’s pretty sweet.
46 00:07:39.010 ⇒ 00:07:45.009 Ryon: I’m gonna try one right now, Greg, because I need this for tomorrow at a meeting anyway. So… Cool. I like it.
47 00:07:45.010 ⇒ 00:07:46.320 Greg Stoutenburg: Let’s get right to it.
48 00:07:46.320 ⇒ 00:07:55.910 Ryon: total… Refunds and cancellations… Or… the…
49 00:07:58.910 ⇒ 00:08:03.590 Ryon: Let’s see… New orders…
50 00:08:06.800 ⇒ 00:08:11.380 Greg Stoutenburg: So, while that’s running, let us know how that goes when that’s running, just for, Matt and Judd.
51 00:08:11.500 ⇒ 00:08:17.319 Greg Stoutenburg: When you log in, you see this screen here. It should just be completely blank. That’s because you can customize this page.
52 00:08:17.360 ⇒ 00:08:24.189 Judd Kuehling: So, to find all of the dashboards that already exist that we’ve built for you, you can go down to Hub.
53 00:08:24.870 ⇒ 00:08:38.490 Greg Stoutenburg: And just see everything here. Now, the way that Tableau was organized, maybe Tableau didn’t show the heading for each of these, but the way that we had categorized internally all of the dashboards that were in Tableau was under these five headings, and as of right now.
54 00:08:38.490 ⇒ 00:08:55.010 Greg Stoutenburg: Everything that was in Tableau that had been published and was being used is available here. Now, there are some things that still… there’s a few where there’s, like, an issue with something that still needs to be resolved, there’s still some QA work going on right now, but as of right now, everything is here, so something that you can do
55 00:08:55.070 ⇒ 00:09:07.610 Greg Stoutenburg: Since you know you’re gonna use, you know, marketing stuff, is if you click into that marketing folder and see those dashboards, you can create a custom favorites area just by hitting a star by it.
56 00:09:09.070 ⇒ 00:09:11.400 Greg Stoutenburg: And then when you come in, if you go to Favorites.
57 00:09:11.650 ⇒ 00:09:24.459 Greg Stoutenburg: this is the dashboard that, you know, that you’re gonna see right away. So, so take a minute, I’d recommend. Take a minute and look at… look around for things that you know that you’re going to be referencing, and just give them a star.
58 00:09:24.790 ⇒ 00:09:28.110 Greg Stoutenburg: And you can, you can put them into your favorites area there.
59 00:09:32.560 ⇒ 00:09:33.719 Greg Stoutenburg: How’d it go, Ryan?
60 00:09:34.510 ⇒ 00:09:36.320 Ryon: came back with zero, which I know was false.
61 00:09:36.700 ⇒ 00:09:37.770 Greg Stoutenburg: But…
62 00:09:37.770 ⇒ 00:09:42.259 Ryon: It’s a complicated question, because this is something we’ve really been challenged by for a while.
63 00:09:43.310 ⇒ 00:09:49.559 Ryon: If we could… Yeah, I’ll figure this out for tomorrow.
64 00:09:49.750 ⇒ 00:09:51.090 Ryon: But,
65 00:09:56.100 ⇒ 00:10:00.700 Ryon: Yeah, it didn’t even get the right date range here. It went back all the way to 2023.
66 00:10:00.980 ⇒ 00:10:02.629 Ryon: And I gave it the dates I wanted.
67 00:10:03.000 ⇒ 00:10:05.579 Greg Stoutenburg: Hmm. Anyways, we’ll figure it out. Yeah.
68 00:10:10.140 ⇒ 00:10:13.810 Greg Stoutenburg: Yeah, cool. So, let’s just, you know… Pick one.
69 00:10:14.160 ⇒ 00:10:15.759 Greg Stoutenburg: You can click into a dash.
70 00:10:16.710 ⇒ 00:10:21.269 Greg Stoutenburg: And you should see, you know, the familiar tables that you would have seen in,
71 00:10:22.580 ⇒ 00:10:26.239 Greg Stoutenburg: In Tableau. And then if you click Explore.
72 00:10:28.270 ⇒ 00:10:32.200 Greg Stoutenburg: It’ll open it up, and then you can use the AI to ask questions.
73 00:10:33.430 ⇒ 00:10:38.399 Greg Stoutenburg: So, this is the way you can ask questions very directly about a particular table or dashboard.
74 00:10:39.440 ⇒ 00:10:44.510 Greg Stoutenburg: It’s gonna have all of the individual charts listed across the bottom here.
75 00:10:45.920 ⇒ 00:10:52.610 Greg Stoutenburg: So, you can ask a question, like, I don’t know, what do we wanna… Just make something up.
76 00:10:56.040 ⇒ 00:11:04.099 Greg Stoutenburg: How many, you know, rows of catalysts as the UTM source.
77 00:11:12.660 ⇒ 00:11:21.840 Greg Stoutenburg: So, cool. Alright, so look back, and just gave you a simple sum. Now, obviously, that’s a pretty simple question, but still, you know, beats downloading it, sorting it, and so on.
78 00:11:22.140 ⇒ 00:11:25.079 Greg Stoutenburg: If you instead are at the homepage.
79 00:11:28.090 ⇒ 00:11:29.220 Greg Stoutenburg: And…
80 00:11:29.380 ⇒ 00:11:37.080 Greg Stoutenburg: want to just skip a step and not go into an individual dashboard and ask questions there, or see the dataset there, you can just go straight to the AI Assistant.
81 00:11:37.690 ⇒ 00:11:40.960 Greg Stoutenburg: Now, what’s cool about this is if you start here.
82 00:11:41.290 ⇒ 00:11:57.390 Greg Stoutenburg: it’ll say, auto-select a topic. What a topic is in Omni is it’s a dataset. It’s some… it’s the BigQuery datasets that are coming in, and joins of those datasets, based on these areas. So, when we looked at those, 5 different categories of dashboard.
83 00:11:57.860 ⇒ 00:12:14.470 Greg Stoutenburg: Every one of those is built on some… some topic structure. So, again, just some particular datasets or some joins of them that were used to create those tables in Tableau. So when you ask a question here, the first thing it’s going to do is figure out which of those datasets is the right one.
84 00:12:14.750 ⇒ 00:12:22.570 Greg Stoutenburg: And if you want, it’ll just auto-select it for you. If you already know that there’s a particular one that you want to be asking questions about, you can select it on your own.
85 00:12:22.680 ⇒ 00:12:28.579 Greg Stoutenburg: Or you can just trust… they call it Blobby… you can just trust Blobby here to find the right one for you.
86 00:12:30.150 ⇒ 00:12:43.060 Greg Stoutenburg: What’s a… what’s a quick question, since it’s already quarter after? What’s a quick question you think we could ask Blobby that would be interesting enough that you might actually have to, you know, mention in a meeting or something like that?
87 00:12:43.590 ⇒ 00:12:52.190 Ryon: How many new or… how many net new… new orders have occurred from… 215 to 221.
88 00:12:56.640 ⇒ 00:12:57.290 Greg Stoutenburg: Alright.
89 00:12:57.650 ⇒ 00:12:59.389 Greg Stoutenburg: We’ll get this chart stood up.
90 00:13:06.160 ⇒ 00:13:18.810 Greg Stoutenburg: And now, say this is something that, once this comes out, you… you know you might need a reference in the future. But it’s not important enough to, like, add to the default set of dashboards like you’d have in Tableau. You want to be able to save it somewhere.
91 00:13:19.700 ⇒ 00:13:25.170 Greg Stoutenburg: You get this number, we can create a chart from that.
92 00:13:25.830 ⇒ 00:13:29.229 Greg Stoutenburg: Well, I don’t know, show some kind of graph.
93 00:13:29.880 ⇒ 00:13:32.060 Greg Stoutenburg: Show this in a graph.
94 00:13:35.820 ⇒ 00:13:42.939 Greg Stoutenburg: Beautiful. Love it. I love it. It’s wonderful. We can go here.
95 00:13:43.360 ⇒ 00:13:47.080 Greg Stoutenburg: And it’ll open up that same view that we saw before for Explore.
96 00:13:47.890 ⇒ 00:13:56.240 Greg Stoutenburg: And then you can, like, make your own private workbook from it. So, I’ll just call it, you know, My Analysis Scratch Pad.
97 00:13:57.270 ⇒ 00:13:58.610 Greg Stoutenburg: And save it there.
98 00:13:59.140 ⇒ 00:14:07.450 Greg Stoutenburg: So now, if there’s some analysis that I’m working on and I want to be able to create these custom reports and put them somewhere that’s easy for me to reference, I can do that anytime I want.
99 00:14:08.950 ⇒ 00:14:18.729 Greg Stoutenburg: And I can leave it in draft state, I can publish it, I can open it in workbook view, where you saw those tabs on the bottom, add some additional charts to it if I want to.
100 00:14:19.140 ⇒ 00:14:22.020 Greg Stoutenburg: We don’t need to do that now, but I just wanted to make sure that you knew that that’s there.
101 00:14:25.720 ⇒ 00:14:28.679 Greg Stoutenburg: Alright, I’m just gonna back away from that one.
102 00:14:29.090 ⇒ 00:14:29.960 Greg Stoutenburg: Okay.
103 00:14:32.130 ⇒ 00:14:34.430 Greg Stoutenburg: Let’s go back to the marketing stuff.
104 00:14:38.550 ⇒ 00:14:48.829 Greg Stoutenburg: Are there any of these that you’d want to try out, or any of these where you think it’d be helpful to have, like, a… your own workbook? You can grab one of these and add it to your own workbook?
105 00:14:50.210 ⇒ 00:14:59.800 Ryon: I’m just gonna get real nerdy real quick, a couple questions here, Greg. Sure. All this data is coming from BigQuery, same with Tableau, right? So, I should just assume this is all BigQuery data?
106 00:14:59.970 ⇒ 00:15:05.629 Greg Stoutenburg: Yep, and I’ll show that to you. Connections, just BigQuery. This is just your BigQuery data.
107 00:15:06.580 ⇒ 00:15:09.999 Ryon: Is mixed panel data in here, or is that just BigQuery only?
108 00:15:10.150 ⇒ 00:15:15.560 Greg Stoutenburg: This is only BigQuery. If it’s… if it’s not coming from BigQuery, then it’s… it’s not here.
109 00:15:15.740 ⇒ 00:15:16.470 Ryon: Fair enough.
110 00:15:17.540 ⇒ 00:15:29.340 Greg Stoutenburg: Now, looking down the line, if there’s some other data source that we’d like to add, we can, you know, investigate that. But this… the starting point of this is just a one-to-one mapping of Tableau.
111 00:15:29.570 ⇒ 00:15:34.029 Greg Stoutenburg: layered in with the AI so that you can ask your own questions and build your own charts.
112 00:15:36.370 ⇒ 00:15:37.000 Ryon: Okay.
113 00:15:38.050 ⇒ 00:15:40.040 Greg Stoutenburg: Now…
114 00:15:40.460 ⇒ 00:15:40.780 Judd Kuehling: True.
115 00:15:40.780 ⇒ 00:15:52.400 Greg Stoutenburg: Of course, you don’t have to just take the AI’s word for it. You can also do things like use the AI to get going on something, and then save it into a workbook, and then manually edit it, just the way you would in any other BI tool.
116 00:15:52.750 ⇒ 00:15:59.769 Greg Stoutenburg: If you open something in Workbook View, that’s when you’re gonna get those charts displayed, and you can make manual edits and write SQL and things like that.
117 00:16:06.140 ⇒ 00:16:06.850 Greg Stoutenburg: Okay.
118 00:16:11.230 ⇒ 00:16:13.449 Ryon: Can I go to the hub real quick for me?
119 00:16:13.450 ⇒ 00:16:13.990 Greg Stoutenburg: Nope.
120 00:16:15.420 ⇒ 00:16:18.340 Ryon: So, the breakdown here, go into marketing real quick.
121 00:16:24.200 ⇒ 00:16:30.889 Ryon: I routinely grab the… Total number of net new orders.
122 00:16:34.990 ⇒ 00:16:39.340 Ryon: on a weekly basis, the dashboard I use is the Product Something dashboard.
123 00:16:39.450 ⇒ 00:16:41.110 Ryon: Where is that in here?
124 00:16:42.520 ⇒ 00:16:43.860 Greg Stoutenburg: Maybe product performance?
125 00:16:44.810 ⇒ 00:16:46.880 Ryon: Try product tag…
126 00:16:46.880 ⇒ 00:16:47.360 Mat Schwarz: product.
127 00:16:47.360 ⇒ 00:16:48.469 Ryon: Why is it not too.
128 00:16:49.530 ⇒ 00:16:52.490 Mat Schwarz: The responder is called Snapshot, is that the one that you mean?
129 00:16:52.630 ⇒ 00:16:54.219 Ryon: No, that’s a different one.
130 00:16:54.330 ⇒ 00:16:57.590 Ryon: The one I’m looking for is called… let’s see…
131 00:16:59.350 ⇒ 00:17:05.049 Mat Schwarz: There’s also one that always used to be, I think, like, Product Rust and LTB Snapshot as well. There was two of those.
132 00:17:05.970 ⇒ 00:17:07.350 Mat Schwarz: Until no, I
133 00:17:09.780 ⇒ 00:17:17.330 Mat Schwarz: And it still populates, like, the offer, which we don’t have that anymore, and Mountain, which, that’s canceled as well.
134 00:17:17.589 ⇒ 00:17:19.540 Mat Schwarz: By the way, I mean tiny detail.
135 00:17:20.569 ⇒ 00:17:23.109 Mat Schwarz: But, like, that last column needs to be removed.
136 00:17:23.700 ⇒ 00:17:24.799 Greg Stoutenburg: This one here.
137 00:17:24.800 ⇒ 00:17:28.820 Mat Schwarz: Mountain… sorry, MNTN, it’s mountain. Oh, you see MNTN?
138 00:17:29.680 ⇒ 00:17:31.540 Greg Stoutenburg: MTN, MTN… oh, yeah, yeah.
139 00:17:31.540 ⇒ 00:17:35.949 Mat Schwarz: Last one. Yeah, so, like, that’s a tool that, you know, we stopped working with them in, like.
140 00:17:36.240 ⇒ 00:17:37.460 Mat Schwarz: July, I think.
141 00:17:37.460 ⇒ 00:17:38.359 Greg Stoutenburg: I don’t need that.
142 00:17:38.400 ⇒ 00:17:39.380 Mat Schwarz: No. Okay.
143 00:17:40.970 ⇒ 00:17:41.510 Greg Stoutenburg: We can get them.
144 00:17:41.510 ⇒ 00:17:44.340 Mat Schwarz: An hourly affiliate’s spend.
145 00:17:45.300 ⇒ 00:17:50.000 Greg Stoutenburg: Well, actually, I’ll just come back to that. Yeah, so remove empty unspend.
146 00:17:51.840 ⇒ 00:17:56.119 Mat Schwarz: like, and it would be affiliate channel, like, instead of Catalyst Offer.
147 00:17:56.360 ⇒ 00:18:01.869 Mat Schwarz: also offer, we don’t work with them anymore, and Catalyst is, for now, like, the platform, so it doesn’t…
148 00:18:02.280 ⇒ 00:18:07.869 Mat Schwarz: like, you know, like, just, like, we have Influencer, I would put affiliates, spent.
149 00:18:08.830 ⇒ 00:18:10.080 Greg Stoutenburg: affiliate here.
150 00:18:10.730 ⇒ 00:18:14.400 Mat Schwarz: No, no, influencers, good. Mountain, delete MNTN.
151 00:18:14.400 ⇒ 00:18:17.230 Greg Stoutenburg: Yeah. And rename Catalyst Offer.
152 00:18:17.430 ⇒ 00:18:19.390 Mat Schwarz: By putting affiliate spend.
153 00:18:19.620 ⇒ 00:18:20.740 Greg Stoutenburg: Oh, I see. Call that a…
154 00:18:20.740 ⇒ 00:18:24.079 Mat Schwarz: It’s like affiliate channel. Like, everything in the affiliate channel is gonna go in there.
155 00:18:24.290 ⇒ 00:18:25.529 Greg Stoutenburg: Got it, yep. Okay.
156 00:18:25.530 ⇒ 00:18:27.760 Mat Schwarz: Because we sort of go through one platform to track it.
157 00:18:28.790 ⇒ 00:18:31.239 Greg Stoutenburg: Yep, got it. Okay. Yeah, I’ll make that edit.
158 00:18:35.150 ⇒ 00:18:37.250 Greg Stoutenburg: Ryan, is this the one that you were looking for?
159 00:18:37.440 ⇒ 00:18:41.349 Ryon: It is. Can you get back to that real quick? Product Relize LTV for me?
160 00:18:43.610 ⇒ 00:18:44.389 Ryon: No, no, no, go ahead.
161 00:18:44.390 ⇒ 00:18:44.950 Greg Stoutenburg: Oh, wait, sorry.
162 00:18:44.950 ⇒ 00:18:47.640 Ryon: Product Rose, LTV. Yeah.
163 00:18:51.340 ⇒ 00:18:52.810 Ryon: Okay, scroll down.
164 00:18:54.410 ⇒ 00:18:57.309 Ryon: Yeah… Okay, go back up.
165 00:19:00.080 ⇒ 00:19:01.249 Ryon: All the way to the top.
166 00:19:02.960 ⇒ 00:19:09.509 Ryon: How do I… yeah, okay, so the date’s right there, and the product group… Okay, I got it. Cool.
167 00:19:09.880 ⇒ 00:19:10.540 Greg Stoutenburg: Yep.
168 00:19:10.810 ⇒ 00:19:26.959 Greg Stoutenburg: Yeah, so if you want it for, you know, easy access, you can build your own view, like I showed by marking it as favorite, you can do that here. You can also tag, charts and dashboards using, you know, if you want to look at different views by creating a bunch of labels and then looking through those labels, from the hub, you can do that.
169 00:19:29.240 ⇒ 00:19:29.770 Ryon: Okay.
170 00:19:30.160 ⇒ 00:19:30.680 Greg Stoutenburg: Yep.
171 00:19:31.080 ⇒ 00:19:42.069 Greg Stoutenburg: So, yeah, like I said, step one was just making sure that we get that one-to-one Tableau copy. So, these are those published dashboards that you had access to in Tableau.
172 00:19:42.300 ⇒ 00:19:48.930 Greg Stoutenburg: Of course, you know, that feedback is really helpful. If you see something that looks like it’s mislabeled, or we need to make improvements to the things that are here.
173 00:19:49.080 ⇒ 00:19:56.129 Greg Stoutenburg: you know, we still want to hear that as well. We know that this is sort of, like, just the start with Omni, but that’s where we are now.
174 00:19:56.560 ⇒ 00:20:00.479 Judd Kuehling: Can you go into the life cycle within the marketing? Lifecycle marketing?
175 00:20:00.950 ⇒ 00:20:01.520 Greg Stoutenburg: Yep.
176 00:20:04.140 ⇒ 00:20:10.970 Judd Kuehling: See, there’s a filter, product at the top. Does that apply to all 3 of these charts?
177 00:20:11.330 ⇒ 00:20:13.360 Greg Stoutenburg: This should apply to all of them, yes.
178 00:20:13.540 ⇒ 00:20:14.699 Greg Stoutenburg: If it has that feature.
179 00:20:14.700 ⇒ 00:20:17.819 Judd Kuehling: Changed it, and nothing changed on the numbers.
180 00:20:18.220 ⇒ 00:20:20.949 Judd Kuehling: I said, is equal to… pick some products.
181 00:20:24.880 ⇒ 00:20:30.940 Judd Kuehling: Pick something small, like… Minoxidil tablets or something like that. It’ll be small.
182 00:20:31.190 ⇒ 00:20:31.930 Greg Stoutenburg: Okay.
183 00:20:33.290 ⇒ 00:20:37.070 Greg Stoutenburg: Daily cohort retention is equal to…
184 00:20:37.460 ⇒ 00:20:40.190 Greg Stoutenburg: We can say match case, because that’s where it’s selected from.
185 00:20:42.170 ⇒ 00:20:43.739 Greg Stoutenburg: Said 1…
186 00:20:44.500 ⇒ 00:20:54.699 Judd Kuehling: So it changed the report that… above, which is great, but the one below it is the one I’m asking about. You want to look at this one. Right. Campaign analysis? Right.
187 00:20:55.760 ⇒ 00:21:04.040 Greg Stoutenburg: So, cohort retention product category… Would we need to change this as well?
188 00:21:04.690 ⇒ 00:21:09.339 Judd Kuehling: I just use this, actually. Yeah, I use that… typically, I just use that GLP or non-GLP.
189 00:21:09.590 ⇒ 00:21:13.460 Judd Kuehling: So if you… Product, and just use this one instead.
190 00:21:14.050 ⇒ 00:21:16.830 Greg Stoutenburg: We’ll do non, so it’s equal to non.
191 00:21:17.010 ⇒ 00:21:19.429 Greg Stoutenburg: And then I’ll clear that.
192 00:21:21.140 ⇒ 00:21:24.189 Judd Kuehling: Okay. So, 3-month retention makes sense.
193 00:21:25.650 ⇒ 00:21:33.230 Judd Kuehling: part that’s… Weird… well, yeah, the 3-month retention seems small, too, but…
194 00:21:33.610 ⇒ 00:21:37.430 Judd Kuehling: Yeah, that’s not right either, but customer size 7, that’s too small.
195 00:21:37.830 ⇒ 00:21:42.609 Greg Stoutenburg: So this seems… this seems wrong down here, because it didn’t update with the filter? Okay.
196 00:21:43.250 ⇒ 00:21:48.329 Judd Kuehling: I have a lot of different numbers than what you’re seeing, so I somehow changed it somehow.
197 00:21:48.330 ⇒ 00:21:49.010 Greg Stoutenburg: Yeah.
198 00:21:50.090 ⇒ 00:21:51.489 Greg Stoutenburg: Yeah, we’ll follow that up.
199 00:21:51.490 ⇒ 00:21:52.070 Judd Kuehling: Oh, God.
200 00:21:53.990 ⇒ 00:21:54.740 Greg Stoutenburg: Cool.
201 00:21:55.230 ⇒ 00:21:57.870 Greg Stoutenburg: Yeah, and feel free to keep going through and, you know.
202 00:21:58.400 ⇒ 00:22:03.419 Greg Stoutenburg: Shaking it and kicking and stuff, and you know, anytime you find something like that, please let us know.
203 00:22:11.870 ⇒ 00:22:31.269 Greg Stoutenburg: And then finally, just like with Tableau, we can set up mobile views and snapshots to… if there’s anything that you want to see on a regular basis and just have it sent to you, we can set up that. When these are all finished with QA, I’m going to be replicating all of the previous workflows that were sending snapshots from Tableau to do the same thing here for Omni.
204 00:22:35.060 ⇒ 00:22:35.730 Mat Schwarz: Okay.
205 00:22:37.030 ⇒ 00:22:37.620 Greg Stoutenburg: Cool.
206 00:22:38.890 ⇒ 00:22:41.220 Greg Stoutenburg: Alright. Anything else, guys?
207 00:22:42.370 ⇒ 00:22:45.079 Mat Schwarz: No, thank you, it’s pretty… straightforward.
208 00:22:45.080 ⇒ 00:22:48.239 Greg Stoutenburg: Good, yep, that’s what we hope. Awesome.
209 00:22:48.330 ⇒ 00:22:50.089 Mat Schwarz: I’ll spend some time on it.
210 00:22:50.360 ⇒ 00:23:03.470 Greg Stoutenburg: Yeah, great. If anything else, you know, comes up, or you can call my attention, anything else that looks like it’s not working the way it should, let me know. The goal is for it to be pretty easy for self-service, and to be just, you know, as reliable and as accurate as you’re used to.
211 00:23:05.130 ⇒ 00:23:07.090 Mat Schwarz: That’s perfect. Awesome. Thank you.
212 00:23:07.090 ⇒ 00:23:08.079 Greg Stoutenburg: Awesome. Thanks, guys.
213 00:23:08.080 ⇒ 00:23:08.889 Mat Schwarz: I got… right.
214 00:23:08.890 ⇒ 00:23:09.540 Greg Stoutenburg: See ya.