Meeting Title: Eden Daily Standup Date: 2026-01-15 Meeting participants: Zoran Selinger, Casie Aviles, Amber Lin, Henry Zhao, Robert Tseng, Ashwini Sharma
WEBVTT
1 00:00:14.150 ⇒ 00:00:15.330 Zoran Selinger: Okay, see?
2 00:00:17.590 ⇒ 00:00:18.630 Casie Aviles: Hey, Sharon.
3 00:00:26.110 ⇒ 00:00:26.920 Zoran Selinger: Cool.
4 00:00:27.170 ⇒ 00:00:32.140 Zoran Selinger: In… Forgot to increase the volume.
5 00:01:33.140 ⇒ 00:01:35.060 Robert Tseng: Hey. Hey, guys.
6 00:01:36.050 ⇒ 00:01:36.870 Zoran Selinger: I hope.
7 00:01:46.700 ⇒ 00:01:52.779 Robert Tseng: Sorry, I got, like, Greg was sending me something he wanted to review, so that kind of distracted me.
8 00:01:53.040 ⇒ 00:01:59.530 Robert Tseng: Okay, so,
9 00:02:02.110 ⇒ 00:02:12.860 Robert Tseng: let’s… yeah, Lauren, I’ll let you kind of go through your piece first, and then I will kind of share about how the ELT call went yesterday.
10 00:02:13.070 ⇒ 00:02:27.090 Robert Tseng: And, I already briefed Greg on some things that he’s kind of taking over, and Amber is back on these calls because I’m trying to, move some analysis to her as well. So,
11 00:02:27.880 ⇒ 00:02:28.620 Robert Tseng: Yeah.
12 00:02:29.110 ⇒ 00:02:30.110 Zoran Selinger: Oh.
13 00:02:30.520 ⇒ 00:02:37.040 Zoran Selinger: Alright, so, I was, so I started, the KPI dash.
14 00:02:37.530 ⇒ 00:02:48.259 Zoran Selinger: Today, I sent kind of initial idea to, to, to Ryan, because I’m going to work with him on it. They already have a really, really elaborate,
15 00:02:49.060 ⇒ 00:02:58.550 Zoran Selinger: estimates and dashes in Gsheets already, so I want to give a kind of simpler version, more visual version.
16 00:02:58.780 ⇒ 00:03:08.219 Zoran Selinger: Here, so I’m just gonna have small charts that will show KPIs, and especially pacing, what’s important.
17 00:03:08.340 ⇒ 00:03:18.420 Zoran Selinger: So, just basically, yeah, started those conversations. Tomorrow, we’re gonna… I’m gonna kind of finish the preliminary, version, and then…
18 00:03:18.420 ⇒ 00:03:34.380 Zoran Selinger: after that, so next week and the following week, it’s just gonna be, automated pulling of the actuals, right? So, projections are still gonna have to be put in manually, but they’re weekly only, so that’s not a problem.
19 00:03:34.610 ⇒ 00:03:39.719 Zoran Selinger: So just… following week is just, the ETL portion.
20 00:03:39.960 ⇒ 00:03:42.469 Zoran Selinger: At least that’s the goal.
21 00:03:43.240 ⇒ 00:03:49.479 Zoran Selinger: So I finally figured out what the churn… what churn customers are.
22 00:03:49.830 ⇒ 00:03:52.649 Zoran Selinger: And how we’re gonna look at reactivations.
23 00:03:53.150 ⇒ 00:04:00.069 Zoran Selinger: So you were… Robert, you were right. Transactions are obviously not the right way to look at it, it’s treatments.
24 00:04:00.420 ⇒ 00:04:03.120 Zoran Selinger: So I need to look okay by treatments.
25 00:04:03.240 ⇒ 00:04:10.240 Zoran Selinger: So basically, yeah, Demilade confirmed the logic, so I’m going off of that.
26 00:04:10.350 ⇒ 00:04:14.110 Zoran Selinger: So I’m gonna have the… the actual churn, and…
27 00:04:14.460 ⇒ 00:04:23.239 Zoran Selinger: and the activation numbers, tomorrow. So that’s… that’s going well. We figured, out that the…
28 00:04:24.450 ⇒ 00:04:29.430 Zoran Selinger: Normim is the only one that’s affected by the
29 00:04:29.670 ⇒ 00:04:39.609 Zoran Selinger: cookie consent. It’s not really cookie consent, it’s something on Norbim’s side, it seems, because we have, we have no impact on Google Analytics at all.
30 00:04:40.200 ⇒ 00:04:41.450 Zoran Selinger: And the only…
31 00:04:41.450 ⇒ 00:04:42.120 Robert Tseng: Okay.
32 00:04:42.120 ⇒ 00:04:42.700 Zoran Selinger: Yeah.
33 00:04:43.350 ⇒ 00:04:56.449 Zoran Selinger: So, it sounds like NordBeam. We initially… yesterday, Stuart, in an email, told them to not look into it, like, we found an issue. I confirmed today that’s not…
34 00:04:56.670 ⇒ 00:05:02.079 Zoran Selinger: we haven’t actually found the issue, and Norim is the only affected
35 00:05:02.250 ⇒ 00:05:11.749 Zoran Selinger: system here. I confirmed, their cookie consent is granted by default, apart from a few
36 00:05:12.240 ⇒ 00:05:16.010 Zoran Selinger: country, states that are…
37 00:05:16.460 ⇒ 00:05:21.390 Zoran Selinger: that need to be, declined by default, like California, like Utah.
38 00:05:21.640 ⇒ 00:05:31.330 Zoran Selinger: So, I also… I jumped on the VPN and confirmed that in those states, we actually do have consent declined.
39 00:05:31.490 ⇒ 00:05:46.799 Zoran Selinger: By default. But everywhere else, it’s granted by default, so… and that’s permissible, that is okay. So it is… sounds like Norbeam, I’m… we’re waiting for… for answers, at the moment there.
40 00:05:47.390 ⇒ 00:05:53.169 Robert Tseng: Okay, got it. Yeah, any… anything else on your side?
41 00:05:53.770 ⇒ 00:05:57.019 Zoran Selinger: Oh, yeah, so tomorrow I’m also gonna,
42 00:05:57.800 ⇒ 00:06:04.900 Zoran Selinger: kind of digest all the element, email, SMS stuff that you showed me earlier, and I’m gonna…
43 00:06:05.410 ⇒ 00:06:09.700 Zoran Selinger: try to recreate as much as possible for Eden.
44 00:06:10.250 ⇒ 00:06:12.679 Zoran Selinger: Great. Pose that stuff to Judd.
45 00:06:13.610 ⇒ 00:06:14.780 Robert Tseng: Okay. No.
46 00:06:15.870 ⇒ 00:06:21.650 Robert Tseng: I’m trying to bring up the deck I showed, but the tab’s not opening.
47 00:06:23.150 ⇒ 00:06:24.080 Robert Tseng: Stay.
48 00:06:24.240 ⇒ 00:06:24.930 Robert Tseng: Okay.
49 00:06:25.070 ⇒ 00:06:26.149 Robert Tseng: I have a glitch.
50 00:06:26.400 ⇒ 00:06:31.070 Robert Tseng: Yeah, so I’ll kind of take… over here…
51 00:06:31.930 ⇒ 00:06:48.230 Robert Tseng: Oops. Yeah, so as far as, like, kind of the deck that I walked through… so actually this slide, I mean, I know you only put, like, one slide, but this is… this was actually more helpful than… and I think we need a little more. So I just created a ticket for you, Zora, I don’t know if you could put it together, but basically,
52 00:06:48.720 ⇒ 00:06:52.080 Robert Tseng: Josh is at an affiliate conference right now.
53 00:06:52.080 ⇒ 00:06:53.330 Zoran Selinger: Okay.
54 00:06:53.570 ⇒ 00:06:59.540 Robert Tseng: And there are, like, 5 or 6 more publishers that want to work with Eden.
55 00:07:00.260 ⇒ 00:07:14.609 Robert Tseng: unfortunately, because of what happened with Eden last year, Eden actually has a bad reputation in the affiliate, kind of world now. So, everyone kind of talks to each other. They’re not on a blacklist officially, but, you know, just the fact that, like.
56 00:07:14.710 ⇒ 00:07:26.300 Robert Tseng: oh, it’s, like, difficult to work with Eden, they don’t have their data in place. These are all, like, kind of, like, accusations from earlier in the year. Obviously, the situation is much better now, and being able to demonstrate that, like, look.
57 00:07:26.300 ⇒ 00:07:46.290 Robert Tseng: we’re in a better place, because, you know, in the past two weeks, our entrepreneurship affiliates is improving, like, you know, our relationship with Catalyst is turning around as well. Like, I want to give him, like, 3 slides to basically tell… help… go back to publishers, and… and tell them, like, whatever you think about Eden is, like.
58 00:07:46.330 ⇒ 00:07:59.000 Robert Tseng: Not true. Like, we are in a much better place now to work with you. You can trust the data that we pass you, and look at this improvement that we’ve done for, like, for a publisher. We don’t have to name Catalyst specifically. Does that make sense?
59 00:07:59.830 ⇒ 00:08:07.610 Zoran Selinger: Yes, yes, so… So I’ve already tried to make a better, better chart than this, okay?
60 00:08:08.000 ⇒ 00:08:08.560 Robert Tseng: Yeah.
61 00:08:08.900 ⇒ 00:08:19.960 Zoran Selinger: The problem is, it was hard to confirm exactly. You see that I have the projected for the previous, because I couldn’t get the real numbers, because we didn’t just…
62 00:08:20.110 ⇒ 00:08:29.879 Zoran Selinger: change, the logic of crediting and included Edge, but we made changes to the, to the tags, which means
63 00:08:30.120 ⇒ 00:08:39.550 Zoran Selinger: what’s in the interface also changed, so it’s hard to compare interface to edge before, because
64 00:08:40.070 ⇒ 00:08:55.239 Zoran Selinger: the GTM was also not the same. We made changes there. This is why it’s difficult to get a… otherwise, I wouldn’t be able to get the exact number. It wouldn’t be, kind of, projected, a number.
65 00:08:55.380 ⇒ 00:09:03.800 Zoran Selinger: So I’m gonna try to look into it more and see if I can… if I can… GIP.
66 00:09:04.220 ⇒ 00:09:06.280 Zoran Selinger: A little bit more there.
67 00:09:06.570 ⇒ 00:09:07.400 Zoran Selinger: But…
68 00:09:07.970 ⇒ 00:09:21.079 Zoran Selinger: I don’t know, I couldn’t… for this particular slide, I couldn’t get anything better than this, because we don’t… we can’t compare to what was before. Basically, the data is lost.
69 00:09:21.450 ⇒ 00:09:32.890 Zoran Selinger: Because at some point in time, before ours, we started blocking, you know, we had that period when we were blocking tags for
70 00:09:33.090 ⇒ 00:09:43.880 Zoran Selinger: For transactions for customers that we thought were… were, were… only catalyst orders.
71 00:09:44.160 ⇒ 00:09:45.110 Robert Tseng: Yeah, yeah, yeah.
72 00:09:45.110 ⇒ 00:09:48.610 Zoran Selinger: Yeah, so we were heavily filtering
73 00:09:50.970 ⇒ 00:09:59.950 Zoran Selinger: kind of tag firing at some stage, and that’s what’s making this difficult. This is why I had to make the projected numbers there.
74 00:10:01.510 ⇒ 00:10:03.089 Zoran Selinger: So I’m gonna try.
75 00:10:04.010 ⇒ 00:10:08.090 Zoran Selinger: But I’m… I’m not sure if I’m gonna be able to do better than that.
76 00:10:10.090 ⇒ 00:10:23.480 Robert Tseng: Okay, I’ll… I’m gonna go back to your other deck. I’m gonna… I’m gonna draft out the three slides, and I can help you with the storytelling there. Okay. And then you can try to plug in the data. I think we can talk offline about, like, how you can do it.
77 00:10:23.480 ⇒ 00:10:28.580 Robert Tseng: I understand that you want to be, like, really, like, precise about it. I don’t think it has to be that precise.
78 00:10:28.580 ⇒ 00:10:44.140 Robert Tseng: I think we just compare, like, you know, we have the two-week period of, like, when it’s, you know, fully, like, up and running, kind of like the way that you want it to. We just compare it to, like, a two-week slice from, like, last… from last year, whatever we can get. I mean, ideally, like, where I would go to.
79 00:10:44.140 ⇒ 00:11:02.409 Robert Tseng: is, I would compare the same time period to the same time period last year. If we aren’t able to do that, that’s fine. We can then do… we can do, like, a 6-month rolling average. Or, like, we try to, like, you know, use, like, the time period to our advantage so that we can just at least get, like.
80 00:11:02.530 ⇒ 00:11:06.489 Robert Tseng: you know, we’re just trying to draw a comparison, right? It’s not gonna be…
81 00:11:06.500 ⇒ 00:11:21.500 Robert Tseng: like, obviously, there’s all these exclusions that you have to do. We can remove certain weeks that we’re like, yeah, for this 3 months, the data wasn’t even right, let’s just take it out. And those are all things that you can call out. It’s okay. Like, we… this happens all the time when you’re doing, like, messy data analysis, where
82 00:11:21.500 ⇒ 00:11:33.499 Robert Tseng: Yeah, things may be set up better now, and we are… we’re able to trust reporting, but when we’re trying to do, like, a before and after, for the before, we have to… we have to put in all of these exclusions, because, like.
83 00:11:33.670 ⇒ 00:11:39.280 Robert Tseng: you have to normalize it somehow. So, I think that’s a perfectly normal exercise to do.
84 00:11:39.500 ⇒ 00:11:48.220 Robert Tseng: Yeah, but I did kind of put it as high prio, hopefully by the end of the week, because Josh is still at that conference now. I think it would just be helpful to give it to him.
85 00:11:48.230 ⇒ 00:11:56.639 Robert Tseng: while he’s in person to, you know, if… if by, you know, we give… if we give him these 3 slides, and he can convince 5 more publishers to work… work with him.
86 00:11:56.640 ⇒ 00:12:12.250 Robert Tseng: that’s huge for Eden. You know, that’s, like, they’re able to go and double down to this channel more. So this is, like, a clear… this is a clear, analysis that would, directly impact, like, a decision that, you know, that he’s making right now. So that’s why I wanted to kind of call this out specifically.
87 00:12:12.250 ⇒ 00:12:12.960 Zoran Selinger: Okay.
88 00:12:13.390 ⇒ 00:12:21.659 Robert Tseng: Yeah. I think with this one, their feedback was like, okay, so… I mean, other than, like, mixed panel cost management, okay, they understand.
89 00:12:21.660 ⇒ 00:12:37.549 Robert Tseng: Mitesh wants to hold off for another 3 months because they feel like they’re throttling the spend, right? Or they’re throttling, like, the traffic right now, but they’ll probably take it back, so, it should be a more stable quarterly kind of, like, average that they… that they decide on whether or not they want to upgrade.
90 00:12:37.550 ⇒ 00:12:44.920 Robert Tseng: I think Greg will probably kind of take this over and go a little bit deeper, but I guess my question here is, like.
91 00:12:44.920 ⇒ 00:12:57.130 Robert Tseng: okay, is this spike completely from the traffic that they drove, or like, you know, if we’re gonna be in parallel running more experimentation in Mixpanel, how do we differentiate between, like, oh, the…
92 00:12:57.720 ⇒ 00:13:03.760 Robert Tseng: The, like, the increase in volume, in… in event volume is…
93 00:13:04.030 ⇒ 00:13:23.600 Robert Tseng: because of just marketing efforts, or is it, like, users are actually engaging with it more? Like, I think, obviously, there’s more… there’s subsequent analysis to feel like… to filter through, like, what’s actually driving this traffic increase. Right now, you’re saying it’s purely because we… we are sending edge layer data into MixedPanel. Maybe that is the story for now.
94 00:13:23.600 ⇒ 00:13:26.030 Robert Tseng: But I’m just, like, kind of anticipating
95 00:13:26.400 ⇒ 00:13:45.380 Robert Tseng: You know, as… as this number… as this trend continues to go up, we don’t… like, we want to be able to point to certain actions that we’re… that the marketing team has taken, or, like, you know, or, on… from an experimentation perspective, like, whatever we… how are we influencing, like.
96 00:13:45.480 ⇒ 00:13:58.530 Robert Tseng: the… not just event traffic, like… like the volume of traffic, but also, are we directing people to the right actions, right? That’s where this analysis needs to end up going. Like, this is really just step one of, like, this is where every…
97 00:13:58.530 ⇒ 00:14:09.380 Zoran Selinger: Yeah, this is… I mean, that was the goal, that was the ticket for that week, is to just import the data, but it’s still a big so what, right? I understand that. Yeah.
98 00:14:09.380 ⇒ 00:14:16.299 Robert Tseng: Okay, cool. Just wanted to be clear on that. So, alright, I think that’s that… yeah.
99 00:14:16.610 ⇒ 00:14:25.079 Robert Tseng: It’s freaking… I’m, like, poking around in Mixpanel and seeing that somebody, Adam, created a dashboard called
100 00:14:25.430 ⇒ 00:14:32.099 Robert Tseng: Suck at Robert, which is great. Love to see… That we have.
101 00:14:32.580 ⇒ 00:14:39.030 Robert Tseng: that the CEO is a college student, has college student humor.
102 00:14:39.450 ⇒ 00:14:50.449 Robert Tseng: Yeah. Anyway, okay, so that was that. The rest of the presentation went okay. I mean, for, like, the fact that we didn’t really share that much more.
103 00:14:50.450 ⇒ 00:15:01.659 Robert Tseng: I think it went as good as it could have gone. I was able to just kind of keep the conversation more focused on, like, where we were headed in… for the quarter, and so this is kind of where, Amber, I’m kind of bringing you back in.
104 00:15:01.720 ⇒ 00:15:04.299 Robert Tseng: Yeah, I think,
105 00:15:05.720 ⇒ 00:15:21.619 Robert Tseng: I added some things that are… I put tickets on Greg’s plate. For Amber, I haven’t done that with you yet, so I think… I think it’d be easier if I just… because I have, like, a similar outline to, like, the experimentation side. If we just.
106 00:15:21.620 ⇒ 00:15:21.990 Amber Lin: Just do it.
107 00:15:21.990 ⇒ 00:15:30.330 Robert Tseng: another 30 minutes to just, like, walk through it, and we can break out the tickets, like, over a call, because I want to kind of catch you up. Yeah.
108 00:15:30.330 ⇒ 00:15:32.829 Amber Lin: Yeah, when you did that. So.
109 00:15:32.830 ⇒ 00:15:49.699 Robert Tseng: I think that would be helpful, and then, you know, I think the difference is this time you’re not PM, like, I’m basically CSO here, so I’ll help coordinate the meetings for you, so hopefully people are not, like, directly pinging you or whatever. Like, I think that’s maybe a big difference between when you were last on this client to now, so… I see.
110 00:15:49.970 ⇒ 00:16:02.799 Robert Tseng: before you were fielding everybody’s messages, which I do not want you spending your time doing that. So I’ll, like, if we need to… if you need to get information for anyone, like, I’ll… I’ll help, middleman that.
111 00:16:02.800 ⇒ 00:16:03.420 Amber Lin: Okay.
112 00:16:03.630 ⇒ 00:16:09.390 Amber Lin: Okay. I’ll check your calendar to grab time, or you can also just check my calendar.
113 00:16:09.730 ⇒ 00:16:17.640 Robert Tseng: Yeah, I’ll probably do yours this time, because there’s a couple meetings in the afternoon that may get rescheduled, so I’m not entirely sure. Sounds good.
114 00:16:17.640 ⇒ 00:16:18.380 Amber Lin: Sounds good.
115 00:16:18.960 ⇒ 00:16:20.770 Robert Tseng: Okay.
116 00:16:20.930 ⇒ 00:16:21.710 Robert Tseng: Cool.
117 00:16:21.870 ⇒ 00:16:27.640 Robert Tseng: Yeah, I think those are the main things for the week.
118 00:16:28.270 ⇒ 00:16:32.339 Robert Tseng: Yeah, I think, Casey, I did assign you,
119 00:16:33.140 ⇒ 00:16:42.039 Robert Tseng: this one specifically, so I also kind of tagged in Slack if you can… I think you’ll need a handoff from Henry in order to do this.
120 00:16:42.450 ⇒ 00:16:45.740 Robert Tseng: Yeah, I just… I just want to see, like.
121 00:16:47.120 ⇒ 00:16:54.429 Robert Tseng: Yeah, you and Amber would possibly work on other things. I just want to see how this ticket goes, and
122 00:16:54.600 ⇒ 00:17:04.120 Robert Tseng: Yeah, I… I’m, like, unsure if I want to push you in the finance direction for now, but,
123 00:17:04.480 ⇒ 00:17:14.539 Robert Tseng: I, you know, we’ll just try this analysis, and just… we’ll see, we’ll see what we can do with that. And then, obviously, just making sure that this is in a good place is important.
124 00:17:15.040 ⇒ 00:17:18.869 Casie Aviles: Yeah, will that ticket be for this cycle, or…
125 00:17:20.909 ⇒ 00:17:34.309 Robert Tseng: I mean, I did a… yeah, the investigation should be done this cycle. Like, yeah, you should have an analysis outlined, you should have everything that you need. Like, I want to be able to review something by tomorrow. You don’t actually have to do it until next week, yeah.
126 00:17:35.140 ⇒ 00:17:35.650 Casie Aviles: Okay.
127 00:17:35.860 ⇒ 00:17:36.380 Robert Tseng: Yeah.
128 00:17:37.750 ⇒ 00:17:44.070 Robert Tseng: Let’s create the outline, don’t need to do… The analysis this cycle.
129 00:17:44.650 ⇒ 00:17:48.070 Robert Tseng: But, like, you know, this is really, like, in my opinion, like.
130 00:17:49.410 ⇒ 00:18:04.679 Robert Tseng: 30% of the work, like, you kind of get everything… you kind of figure out where you think you’re going to get everything, then half the work is really just actually executing the ticket, and then, like, the la- the back half is really just doing… doing reviews, like, the last third. So, that’s typically how I…
131 00:18:04.680 ⇒ 00:18:05.050 Casie Aviles: Okay.
132 00:18:05.050 ⇒ 00:18:09.340 Robert Tseng: these, things going, like, yeah.
133 00:18:09.680 ⇒ 00:18:16.290 Robert Tseng: Okay, anything else that I missed? Otherwise, I think… That’s…
134 00:18:16.290 ⇒ 00:18:23.399 Amber Lin: I don’t think I’m in the internal Eden channel anymore, I only have the Eden marketing app.
135 00:18:23.400 ⇒ 00:18:24.110 Robert Tseng: Great.
136 00:18:24.110 ⇒ 00:18:28.300 Amber Lin: channel, so… Let me back in.
137 00:18:28.830 ⇒ 00:18:31.339 Robert Tseng: Yes, I will add you back in right now.
138 00:18:31.840 ⇒ 00:18:33.200 Amber Lin: Okay, sounds good.
139 00:18:33.580 ⇒ 00:18:34.220 Robert Tseng: Yeah.
140 00:18:34.220 ⇒ 00:18:38.120 Henry Zhao: And then my question is, who should I move the Monday.com reports to Tableau?
141 00:18:38.220 ⇒ 00:18:38.960 Henry Zhao: 2.
142 00:18:40.050 ⇒ 00:18:43.219 Henry Zhao: It’s just… we’re just missing some Basque data to get that done.
143 00:18:47.580 ⇒ 00:18:50.089 Henry Zhao: Probably Casey, right? Because Casey and I have a call with Brad today.
144 00:18:50.560 ⇒ 00:18:51.370 Henry Zhao: So…
145 00:18:51.370 ⇒ 00:18:54.140 Robert Tseng: Okay, yeah, I mean, you can bring it up, yeah.
146 00:19:04.480 ⇒ 00:19:06.000 Robert Tseng: Okay, anything else?
147 00:19:11.150 ⇒ 00:19:22.850 Robert Tseng: Cool. Alright, well then, that’s that. I think, LaRon, if you… if you got the chance… if you need me to reschedule the call, I don’t know if Patricia ever got back to you for the Wednesday thing, just… just let me know, and I can… I can move it. Otherwise.
148 00:19:22.850 ⇒ 00:19:26.140 Zoran Selinger: Oh, we did move it to Thursdays, now.
149 00:19:26.140 ⇒ 00:19:27.150 Robert Tseng: Oh, you already moved it.
150 00:19:27.150 ⇒ 00:19:27.690 Zoran Selinger: Yep.
151 00:19:28.380 ⇒ 00:19:31.959 Robert Tseng: Oh, you did? Okay, great. Alright, never mind then.
152 00:19:32.540 ⇒ 00:19:33.550 Zoran Selinger: Okay, cool.
153 00:19:33.550 ⇒ 00:19:35.289 Robert Tseng: Cool. Alright, thanks everyone.
154 00:19:35.320 ⇒ 00:19:36.370 Zoran Selinger: Right. Bye.