Meeting Title: ABC Analytics Slides Review Date: 2026-01-13 Meeting participants: Zoran Selinger, Amber Lin


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1 00:02:59.850 00:03:01.160 Amber Lin: Hello!

2 00:03:10.340 00:03:11.200 Amber Lin: Alright.

3 00:03:11.990 00:03:16.249 Amber Lin: Have you had a chance to look at the slides yet?

4 00:03:33.230 00:03:34.690 Zoran Selinger: Amber, are you here?

5 00:03:37.130 00:03:37.790 Amber Lin: Yeah.

6 00:03:37.790 00:03:41.579 Zoran Selinger: Oh, sorry, sorry, I did not notice you. You came in and.

7 00:03:41.580 00:03:43.159 Amber Lin: No, all good, all good, I just.

8 00:03:43.160 00:03:47.280 Zoran Selinger: was too low for, I don’t know.

9 00:03:47.560 00:03:48.100 Amber Lin: Okay.

10 00:03:48.100 00:03:53.399 Zoran Selinger: The difference between the calls and all the other sounds on my computer are huge.

11 00:03:53.400 00:03:53.770 Amber Lin: Hmm.

12 00:03:53.770 00:03:58.010 Zoran Selinger: I’m literally keeping everything else at, like, 8.

13 00:03:58.290 00:03:58.950 Zoran Selinger: And…

14 00:03:58.950 00:03:59.599 Amber Lin: before cool.

15 00:03:59.600 00:04:02.010 Zoran Selinger: I have to get to 80s.

16 00:04:02.010 00:04:02.970 Amber Lin: Wow.

17 00:04:02.970 00:04:09.929 Zoran Selinger: Yeah, so… yeah, I just then did not hear you, because I had mine sounded. All good, all good.

18 00:04:10.110 00:04:13.629 Zoran Selinger: Let’s go into the slides.

19 00:04:13.930 00:04:14.540 Amber Lin: Yeah, let’s…

20 00:04:14.540 00:04:21.760 Zoran Selinger: I thought about what we definitely need to mention. We need to mention lack of e-commerce tracking.

21 00:04:25.000 00:04:27.479 Zoran Selinger: They have purchases as events.

22 00:04:27.900 00:04:28.540 Amber Lin: Yeah?

23 00:04:28.540 00:04:33.069 Zoran Selinger: And do not have it as properly… proper e-commerce transactions.

24 00:04:33.070 00:04:34.680 Amber Lin: To Google Analytics.

25 00:04:35.070 00:04:35.859 Zoran Selinger: So this is…

26 00:04:35.860 00:04:40.500 Amber Lin: Yeah, I put it… I made a, side 11.

27 00:04:40.730 00:04:41.230 Zoran Selinger: Do you think…

28 00:04:41.230 00:04:42.680 Amber Lin: That’s good, because.

29 00:04:42.680 00:04:46.330 Zoran Selinger: Sorry, sorry, let me, let me go Ian.

30 00:04:46.560 00:04:47.150 Amber Lin: Yeah.

31 00:04:48.020 00:04:50.750 Zoran Selinger: Do you want to share a screen as we talk about it?

32 00:04:51.410 00:04:52.180 Zoran Selinger: Sure.

33 00:05:05.410 00:05:06.070 Zoran Selinger: Yeah.

34 00:05:07.590 00:05:08.610 Zoran Selinger: Mmm…

35 00:05:10.520 00:05:17.259 Amber Lin: Slide 11, I put… I put, the limitations you talked about in the meeting there.

36 00:05:17.700 00:05:27.220 Amber Lin: Do you think that covers all of it? Because I don’t know if we should put one slide per limitation. It might be better to put them in one slide.

37 00:05:27.220 00:05:31.030 Zoran Selinger: This is definitely, yeah, so this is absolutely true.

38 00:05:34.570 00:05:43.189 Zoran Selinger: Yeah, so this… I think they might… might have different, systems to manage those, and that’s been mentioned in the.

39 00:05:43.190 00:05:50.199 Amber Lin: Oh, yeah, I think Dallas is for another branch, but Corpus Christi is…

40 00:05:50.540 00:05:59.019 Zoran Selinger: One of their branches. Yeah, okay, cool. Oh yeah, you mentioned missing e-commerce tracking, that’s an important… okay, there’s no…

41 00:06:02.610 00:06:04.600 Zoran Selinger: Yeah, yeah.

42 00:06:07.290 00:06:14.899 Amber Lin: And I think we can either, in the third column, put in impact or next steps. What do you think is better?

43 00:06:18.940 00:06:21.710 Zoran Selinger: Next steps is good, yeah, next steps is good.

44 00:06:25.410 00:06:27.969 Zoran Selinger: Yeah, yeah, I think I like next steps.

45 00:06:28.300 00:06:29.380 Amber Lin: Hmm. Yeah.

46 00:06:29.860 00:06:32.860 Amber Lin: So, what do they, what would.

47 00:06:32.860 00:06:39.870 Zoran Selinger: I mean… Possible bot traffic, confirmed.

48 00:06:41.690 00:06:42.560 Zoran Selinger: Wow.

49 00:06:42.780 00:06:46.569 Zoran Selinger: Maybe we can specifically, show them cities.

50 00:06:49.540 00:06:50.480 Zoran Selinger: Yeah.

51 00:06:50.480 00:06:52.610 Amber Lin: I can put it in the appendix, too.

52 00:06:54.140 00:06:57.910 Zoran Selinger: Confirm cities… outside…

53 00:07:01.850 00:07:04.929 Zoran Selinger: observe this area.

54 00:07:18.080 00:07:25.130 Zoran Selinger: Confirm traffic outside of service areas, looks like…

55 00:07:25.380 00:07:29.809 Zoran Selinger: bot traffic. I’m gonna say.

56 00:07:32.250 00:07:36.010 Zoran Selinger: I’m gonna say… Things like low engagement.

57 00:07:36.280 00:07:54.889 Zoran Selinger: A low engagement, a low, session duration, low number… Number… Of pages per session.

58 00:07:55.020 00:08:02.110 Zoran Selinger: And filter them out.

59 00:08:03.160 00:08:07.470 Zoran Selinger: So we can do… we can do this with Google Analytics filters.

60 00:08:07.590 00:08:15.720 Zoran Selinger: So that would be the next, bro. Can I complete the DAG, in the… in the SDK.

61 00:08:19.920 00:08:20.960 Zoran Selinger: Delete.

62 00:08:23.760 00:08:31.989 Zoran Selinger: Dubai… Funnels… are working correctly.

63 00:08:32.419 00:08:33.440 Zoran Selinger: delete that.

64 00:08:34.390 00:08:40.330 Zoran Selinger: And… And tracking.

65 00:08:41.460 00:08:43.849 Zoran Selinger: Where it’s missing.

66 00:08:44.280 00:08:47.120 Zoran Selinger: Okay, e-commerce,

67 00:08:50.580 00:08:57.180 Zoran Selinger: Hmm… Next step is to… yeah, so this is, like, we need to do a proper

68 00:08:57.660 00:09:03.499 Zoran Selinger: Implementation of e-commerce tracking, which will… yeah, so we need to get,

69 00:09:04.920 00:09:08.199 Zoran Selinger: Product data into the data layer.

70 00:09:09.010 00:09:16.489 Zoran Selinger: And also add… item… Item data into a data layer.

71 00:09:17.060 00:09:23.090 Zoran Selinger: Employment, e-commerce… Tracking.

72 00:09:23.250 00:09:24.250 Zoran Selinger: Thanks.

73 00:09:27.610 00:09:30.700 Zoran Selinger: And demographic insights.

74 00:09:30.880 00:09:37.219 Zoran Selinger: Let me just confirm if they… they… if they use Facebook.

75 00:09:37.530 00:09:39.810 Zoran Selinger: They probably do.

76 00:09:40.090 00:09:43.160 Zoran Selinger: So I’m just on another screen, I’m just looking at…

77 00:09:43.260 00:09:50.709 Zoran Selinger: traffic acquisition, under sessions, and I’m gonna click into a channel called Paid Search.

78 00:09:51.690 00:09:52.349 Amber Lin: I only…

79 00:09:52.350 00:09:54.370 Zoran Selinger: Sorry, not paid search, sorry, paid social.

80 00:09:54.370 00:09:56.849 Amber Lin: I only see the slide deck.

81 00:09:56.850 00:09:59.179 Zoran Selinger: Yeah, yeah, but I’m not gonna share that, I’m just.

82 00:09:59.180 00:10:00.090 Amber Lin: Oh, okay.

83 00:10:00.370 00:10:08.350 Zoran Selinger: Quickly, just confirm that they, one of the… that they use Facebook, that’s… that’s all I’m going.

84 00:10:09.330 00:10:18.630 Zoran Selinger: Yeah, so they have FB Paid as the tracking, as the UTM, source and medium, so they have,

85 00:10:20.030 00:10:25.629 Zoran Selinger: Yeah, so… I mean, there’s no next steps here, really.

86 00:10:26.810 00:10:28.549 Amber Lin: Yeah, it just.

87 00:10:30.210 00:10:32.780 Zoran Selinger: Just rely on…

88 00:10:36.630 00:10:50.849 Amber Lin: I checked their, the conversion funnels. It seems like it’s working for Corpus Christi. I checked your… your doc. The other areas, I don’t… I think it’s from another branch, so…

89 00:10:50.990 00:10:59.329 Amber Lin: It might… they might not just cover… they don’t cover that at all, so that’s probably why.

90 00:10:59.530 00:11:04.730 Amber Lin: But we can… we can show them for Fort Worth, because I think they cover,

91 00:11:05.120 00:11:07.609 Amber Lin: Oh, they do cover Dallas, and… okay.

92 00:11:07.760 00:11:08.510 Amber Lin: Okay, then I’ll…

93 00:11:08.510 00:11:10.290 Zoran Selinger: We do have that, yeah, they have.

94 00:11:10.290 00:11:11.629 Amber Lin: Yeah, they do have Dallas, you’re right.

95 00:11:11.630 00:11:17.930 Zoran Selinger: I just, there might be a different, a different…

96 00:11:17.930 00:11:19.310 Amber Lin: Yeah, it’s.

97 00:11:19.310 00:11:22.400 Zoran Selinger: Click, let’s say, a different click to buy.

98 00:11:22.400 00:11:38.839 Amber Lin: Yeah, you’re right. It’s a different owner of the branches, because they’re owned by brothers, so it might be on the same ABC, but, like, this brother only owns these branches, so, like, we can put it in, and then they can say, like, oh, this is what’s happening, and maybe we can…

99 00:11:39.160 00:11:43.980 Amber Lin: help, get some business from their other branches.

100 00:11:43.980 00:11:44.720 Zoran Selinger: Right, right.

101 00:11:44.720 00:11:45.949 Amber Lin: I’ll put it down there.

102 00:12:18.100 00:12:21.379 Zoran Selinger: Okay, what else do we need to address?

103 00:12:22.070 00:12:22.960 Amber Lin: Mmm…

104 00:12:27.150 00:12:34.300 Amber Lin: from slide… let’s look at the beginning slides. Anything there? Like, anything else you want to talk about?

105 00:12:35.800 00:12:38.080 Amber Lin: Because I’m thinking for the first one.

106 00:12:38.450 00:12:52.180 Amber Lin: We just talk about all the channels available, and then in the next few, we can probably dive deeper into the different channels, but if you were to present to them, like, how… what else would you talk about?

107 00:12:52.710 00:12:57.210 Zoran Selinger: Oh yeah, so here. Listen, I would rather,

108 00:12:58.070 00:13:02.059 Zoran Selinger: use the conversion slides here. Cool, yeah.

109 00:13:02.060 00:13:04.020 Amber Lin: Yeah, I can go find that for you.

110 00:13:04.020 00:13:06.250 Zoran Selinger: Yeah, conversion slides are better.

111 00:13:06.480 00:13:19.549 Zoran Selinger: I think realistically, engagement is nice, it’s a good indication of… of, let’s say, active traffic, but it’s not the ultimate,

112 00:13:20.640 00:13:25.850 Zoran Selinger: It’s not the ultimate measure. The conversion rates are the ultimate measure.

113 00:13:26.200 00:13:37.290 Zoran Selinger: Here. Cool. Yeah, so… It’s maybe it… maybe… sorry, maybe it is important to show the,

114 00:13:39.000 00:13:45.899 Zoran Selinger: the graphic that you had, just so they understand the… the proportions of volume. So when we.

115 00:13:46.220 00:13:52.309 Zoran Selinger: But organic, this is… this is our leader in… in the volume, right?

116 00:13:53.680 00:14:01.969 Zoran Selinger: But here, then we talk about, okay, this is how this particular traffic converts for each particular action.

117 00:14:03.800 00:14:04.659 Zoran Selinger: So that’s cool.

118 00:14:04.660 00:14:08.970 Amber Lin: So, we don’t do… Two slides, and…

119 00:14:10.170 00:14:14.740 Zoran Selinger: Yeah, we can do two slides. First, it’s important to understand,

120 00:14:14.850 00:14:26.379 Zoran Selinger: the volumes, it’s important to, yeah, lower engagement. Direct traffic shows lower engagement, possibly, and this is,

121 00:14:26.690 00:14:39.499 Zoran Selinger: Possibly due to… higher… bot traffic. So this is normal for bots to have low engagement rates.

122 00:14:40.530 00:14:41.250 Amber Lin: Hmm.

123 00:14:41.590 00:14:45.169 Zoran Selinger: Yeah, this is a good indication that there’s probably

124 00:14:45.350 00:14:47.729 Zoran Selinger: some boat traffic in there. Oh!

125 00:14:50.750 00:14:53.159 Zoran Selinger: You wanna, have it there?

126 00:14:53.160 00:15:03.960 Amber Lin: But feel free, go ahead to edit them. I, like, we need to edit the headers so that it’s, like, a standalone sentence, so I think it’s best if it comes from you.

127 00:15:06.850 00:15:13.969 Zoran Selinger: Yeah, paid social is problematic to me. You see the engagement rate… rates.

128 00:15:13.970 00:15:14.620 Amber Lin: Hmm.

129 00:15:14.620 00:15:18.800 Zoran Selinger: From paid social and organic video, are pretty bad.

130 00:15:18.910 00:15:23.650 Zoran Selinger: But specifically paid social, we should emphasize, because,

131 00:15:23.870 00:15:26.979 Zoran Selinger: Because it’s, you know, a paid source.

132 00:15:28.730 00:15:29.660 Amber Lin: Gotcha.

133 00:15:37.230 00:15:38.710 Amber Lin: And does it have higher.

134 00:15:38.710 00:15:41.330 Zoran Selinger: Not organic social, but organic video.

135 00:15:41.680 00:15:42.150 Zoran Selinger: Hmm.

136 00:15:42.150 00:15:48.170 Amber Lin: Oh… I mean… and paid video, you mean?

137 00:15:48.720 00:15:55.949 Zoran Selinger: No, organic video and paid social. You see the ones that are very low engagement rates?

138 00:15:55.950 00:15:57.280 Amber Lin: Oh!

139 00:15:57.280 00:15:59.089 Zoran Selinger: really low, so that’s…

140 00:15:59.090 00:16:00.110 Amber Lin: I see.

141 00:16:00.110 00:16:00.650 Zoran Selinger: Yeah.

142 00:16:01.180 00:16:04.379 Amber Lin: Okay, let me put this pointer in there.

143 00:16:05.560 00:16:07.139 Amber Lin: That’s better. Okay.

144 00:16:07.710 00:16:10.670 Amber Lin: And then… what else?

145 00:16:11.180 00:16:17.429 Amber Lin: How would you write the header? Like, what would you edit that to be?

146 00:16:18.290 00:16:24.859 Zoran Selinger: I would, yeah, I would pro- no, so I would just say,

147 00:16:25.010 00:16:28.130 Zoran Selinger: Organic, is winning.

148 00:16:30.280 00:16:34.319 Zoran Selinger: I’ll be probably very, very short there,

149 00:16:36.440 00:16:41.850 Zoran Selinger: Organic is winning, and I would just emphasize direct.

150 00:16:42.700 00:16:49.340 Zoran Selinger: Is… Any indication of… bot traffic.

151 00:16:52.000 00:16:52.450 Amber Lin: Mmm.

152 00:16:52.450 00:16:57.220 Zoran Selinger: Yeah, so direct traffic, if it’s the… if it’s real direct traffic.

153 00:16:57.420 00:17:09.380 Zoran Selinger: That’s the one that should perform… perform really well. There is no reason for direct traffic, if it’s a legitimate direct traffic, to perform badly.

154 00:17:10.390 00:17:13.490 Amber Lin: Badly in terms of, engagement.

155 00:17:13.490 00:17:17.240 Zoran Selinger: Because of basically anything, engagement rates or conversion rates.

156 00:17:17.410 00:17:19.810 Zoran Selinger: There is no reason for it.

157 00:17:23.609 00:17:37.179 Zoran Selinger: Because, referral traffic is… sorry, direct traffic is basically when you have the website bookmarked, or when you type it directly into the address bar.

158 00:17:39.150 00:17:44.239 Zoran Selinger: So, essentially, those are people that already know you, and they want to come back to your website.

159 00:17:45.700 00:17:48.739 Zoran Selinger: So, performance should be fine.

160 00:17:49.420 00:17:50.260 Zoran Selinger: Okay.

161 00:17:50.750 00:17:55.800 Zoran Selinger: So, if it’s low, that means it’s not necessarily real.

162 00:17:55.930 00:17:57.250 Zoran Selinger: direct traffic.

163 00:17:58.630 00:18:00.280 Amber Lin: I see.

164 00:18:00.510 00:18:01.050 Zoran Selinger: Yeah.

165 00:18:08.860 00:18:15.880 Amber Lin: Should we mention anything about the paid social in this header, or should we leave it for the next.

166 00:18:15.880 00:18:23.270 Zoran Selinger: I wouldn’t… I wouldn’t hinder, simply because, it’s… it’s not a huge volume driver.

167 00:18:24.950 00:18:28.840 Zoran Selinger: Similarly because of the volume. But it is something to note.

168 00:18:30.340 00:18:30.890 Zoran Selinger: Yeah.

169 00:18:31.760 00:18:37.849 Zoran Selinger: It is something to note. If they’re spending a lot there, it’s not…

170 00:18:39.320 00:18:47.590 Zoran Selinger: It’s not resulting in a lot of traffic volume, Or engagement volume, right?

171 00:18:50.820 00:18:57.250 Zoran Selinger: Yeah, so that’s fine, yeah, that title is fine, and a few things to note there.

172 00:18:58.860 00:19:05.630 Amber Lin: Cool. Is there any recommendations you would make at this stage, or you just say, like, next steps here is what you need to do?

173 00:19:05.630 00:19:09.930 Zoran Selinger: So under recommendation, definitely.

174 00:19:10.210 00:19:15.590 Zoran Selinger: is that we should continue to focus on organic. So.

175 00:19:17.060 00:19:23.169 Zoran Selinger: Continue investing in organic, And we do have opportunities there.

176 00:19:27.240 00:19:29.920 Zoran Selinger: Continuing in organic traffic.

177 00:19:32.700 00:19:43.149 Zoran Selinger: And how do… how do we say that? We are going to talk about specific opportunities to increase click-through rates and average positions.

178 00:19:48.480 00:19:49.560 Zoran Selinger: Yeah, okay.

179 00:19:49.840 00:19:50.630 Zoran Selinger: Cool.

180 00:19:51.690 00:19:53.409 Amber Lin: Because you’re talking about it here, right?

181 00:19:55.170 00:19:56.010 Zoran Selinger: I’m sorry?

182 00:19:57.870 00:20:00.719 Amber Lin: Because you’re gonna talk about it in, slide 5, right?

183 00:20:00.720 00:20:06.300 Zoran Selinger: Yes, exactly. Slide 5 is the best there. So, let’s go to the actual, like.

184 00:20:06.430 00:20:08.020 Zoran Selinger: So the next slide.

185 00:20:12.190 00:20:16.970 Zoran Selinger: Slide 4 is… That’s where we actually have

186 00:20:20.300 00:20:21.620 Zoran Selinger: conversion rates.

187 00:20:24.380 00:20:26.989 Zoran Selinger: And you see also that direct.

188 00:20:26.990 00:20:28.730 Amber Lin: is lower.

189 00:20:28.730 00:20:36.750 Zoran Selinger: then… Two high-volume channels, like, Also, that also in confirming.

190 00:20:38.050 00:20:38.580 Amber Lin: Hmm.

191 00:20:38.580 00:20:43.270 Zoran Selinger: confirming, Some proportion of bot traffic.

192 00:20:44.870 00:20:47.890 Zoran Selinger: So that would also be the confirmation.

193 00:20:51.950 00:20:56.940 Zoran Selinger: I want to emphasize here that the unassigned is actually

194 00:20:59.060 00:21:02.789 Zoran Selinger: I made a note there, what’s the name of…

195 00:21:02.960 00:21:08.390 Zoran Selinger: Cauldron, Calzone, what’s the… how did I say it? What’s the platform?

196 00:21:11.900 00:21:30.380 Zoran Selinger: Carlson display retargeting. So, it’s display retar… it’s a retargeting campaign. So, you see this green one, yeah? Anasai is display retargeting. You can just leave it as display retargeting. So, it performs exceptionally well

197 00:21:30.380 00:21:33.160 Zoran Selinger: are getting phone calls, and that’s a really interesting.

198 00:21:33.160 00:21:33.890 Amber Lin: Hmm.

199 00:21:34.060 00:21:41.919 Zoran Selinger: You see, that is really, really interesting, because you see those, those blue ones? Those blue ones are…

200 00:21:43.450 00:21:45.129 Zoran Selinger: what, leads?

201 00:21:45.130 00:21:47.430 Amber Lin: Generate lead, how do they define that?

202 00:21:47.430 00:21:51.370 Zoran Selinger: I do not know, but that’s how the event is called, basically.

203 00:21:51.370 00:21:52.180 Amber Lin: I see.

204 00:21:52.180 00:21:58.010 Zoran Selinger: Yeah, so I’m not 100% sure. I need to look into their GTM to know that, and we don’t have access.

205 00:22:04.000 00:22:07.959 Zoran Selinger: But for phone calls, this is exceptional.

206 00:22:09.400 00:22:14.530 Zoran Selinger: So, whatever they’re doing on the remarketing side, they’re doing it well.

207 00:22:20.690 00:22:24.500 Zoran Selinger: That’s… that’s a thing, definitely a thing to note.

208 00:22:25.400 00:22:26.060 Amber Lin: Boom.

209 00:22:31.730 00:22:36.250 Amber Lin: Their paid other has very low volume, but also has pretty good phone calls.

210 00:22:37.580 00:22:38.319 Amber Lin: I just don’t know.

211 00:22:38.320 00:22:39.399 Zoran Selinger: Yeah, yeah, I mean…

212 00:22:39.400 00:22:40.410 Amber Lin: booted there.

213 00:22:40.640 00:22:48.739 Zoran Selinger: Yeah, it’s interesting to see that I… also, we should… emphasize this as well.

214 00:22:48.960 00:22:51.450 Zoran Selinger: The second one is paid search, right?

215 00:22:52.530 00:22:58.050 Zoran Selinger: Yeah, so let’s emphasize that this is actually performing better than organic.

216 00:22:58.420 00:22:58.900 Amber Lin: Boom.

217 00:22:58.900 00:23:00.170 Zoran Selinger: or conversions.

218 00:23:03.950 00:23:13.640 Zoran Selinger: So there, there is no reason for them to, to kind of stop or decrease investing in paid search. It’s a good, it’s a good avenue for them.

219 00:23:14.620 00:23:15.290 Amber Lin: Cool.

220 00:23:16.580 00:23:17.190 Zoran Selinger: Yeah.

221 00:23:17.590 00:23:20.789 Amber Lin: Okay, anything else on the graph you want to point out?

222 00:23:21.150 00:23:26.119 Zoran Selinger: No, no, I, I, nothing’s… nothing’s really that interesting.

223 00:23:30.320 00:23:36.220 Zoran Selinger: So, recommendation for this one would be to also keep investing in paid search.

224 00:23:37.290 00:23:37.870 Zoran Selinger: Yeah.

225 00:23:38.240 00:23:40.150 Zoran Selinger: I think that’s very clear.

226 00:23:42.600 00:23:45.790 Amber Lin: And paste, search, and…

227 00:23:45.790 00:23:49.959 Zoran Selinger: Let me just confirm that we know what that is. Yeah, it’s Google CP.

228 00:23:49.960 00:23:52.760 Amber Lin: Play retargeting…

229 00:23:52.760 00:23:53.380 Zoran Selinger: Yeah.

230 00:23:54.000 00:24:05.690 Amber Lin: And for people… Whatever, I’ll edit this later. So we’ll say… Paid search outperforms organic.

231 00:24:06.420 00:24:13.020 Amber Lin: And we say, display retargeting?

232 00:24:14.980 00:24:16.780 Amber Lin: You’re targeting…

233 00:24:24.140 00:24:27.170 Amber Lin: Phone car generation.

234 00:24:27.370 00:24:30.140 Zoran Selinger: Yeah. Something like that, I think. Yeah, yeah.

235 00:24:30.140 00:24:33.529 Amber Lin: Cool. Okay, we can… we can do slides.

236 00:24:33.530 00:24:37.069 Zoran Selinger: Yeah, next one. So here,

237 00:24:39.700 00:24:45.259 Zoran Selinger: We have opportunities across the board here, because.

238 00:24:45.680 00:24:50.750 Zoran Selinger: No categories perform Amazingly, okay?

239 00:24:50.870 00:24:59.900 Zoran Selinger: In terms of click-through rates and, and positions. So, there’s literally every category can…

240 00:25:00.280 00:25:01.559 Zoran Selinger: We can do better.

241 00:25:04.800 00:25:05.370 Zoran Selinger: Yeah.

242 00:25:07.540 00:25:13.090 Zoran Selinger: So, there’s opportunity in all of them, and obviously, by the size.

243 00:25:13.280 00:25:16.500 Zoran Selinger: Of the opportunity. This is,

244 00:25:17.060 00:25:22.790 Zoran Selinger: We are getting… we are looking at, you know, plumbing and pest control as…

245 00:25:22.790 00:25:27.019 Amber Lin: Yeah. Biggest opportunities. How is plumbing so big?

246 00:25:27.300 00:25:27.940 Zoran Selinger: Sorry?

247 00:25:28.190 00:25:35.850 Amber Lin: How is plumbing so big? They’re… I thought they were known for pest control. Like, is the size the impressions?

248 00:25:36.440 00:25:39.169 Zoran Selinger: This is the organic impression sizes.

249 00:25:39.170 00:25:40.909 Amber Lin: Wow, okay.

250 00:25:42.190 00:25:45.690 Zoran Selinger: I mean, that doesn’t really surprise me.

251 00:25:48.220 00:25:50.969 Amber Lin: Bopping is always big, and…

252 00:25:51.070 00:25:59.330 Zoran Selinger: Especially, I think it’s probably a good revenue generator. It could be, because…

253 00:25:59.540 00:26:06.500 Zoran Selinger: You can charge a lot for that, because it’s always urgent, and… So…

254 00:26:08.310 00:26:09.770 Amber Lin: I see her, okay.

255 00:26:10.330 00:26:16.419 Zoran Selinger: Yeah, I guess that… I’m guessing that is probably a good money driver as well.

256 00:26:22.830 00:26:32.770 Zoran Selinger: Let me confirm… I’ll just confirm that this is… And not… a… An issue with the label?

257 00:26:33.100 00:26:34.840 Amber Lin: Yeah, I wanna make sure it’s not.

258 00:26:34.840 00:26:40.829 Zoran Selinger: Yeah, I’m actually gonna look at the data, not at the… And the visualization.

259 00:26:45.890 00:26:46.710 Zoran Selinger: What?

260 00:26:48.270 00:26:51.960 Zoran Selinger: Oh, damn, it is a…

261 00:26:59.060 00:27:03.019 Zoran Selinger: No, that’s the… that’s the labels being wrong. You are.

262 00:27:03.020 00:27:03.490 Amber Lin: I see.

263 00:27:04.430 00:27:05.160 Zoran Selinger: You are right.

264 00:27:05.160 00:27:05.820 Amber Lin: control?

265 00:27:05.820 00:27:07.330 Zoran Selinger: It’s pest control.

266 00:27:07.620 00:27:08.609 Amber Lin: I see.

267 00:27:19.520 00:27:27.020 Zoran Selinger: Let me… Should I try to fix…

268 00:27:27.020 00:27:29.660 Amber Lin: Is there a way to fix that?

269 00:27:30.940 00:27:35.529 Zoran Selinger: I mean, I, it’s… it’s possible. Let me, let me try.

270 00:27:37.580 00:27:40.090 Zoran Selinger: Let me just… Fide where I am.

271 00:28:39.830 00:28:44.870 Zoran Selinger: I’m gonna let the opus do the… do… It’s magic.

272 00:28:56.120 00:28:57.870 Zoran Selinger: Oh, good.

273 00:28:58.960 00:29:02.029 Zoran Selinger: Says it’s going to add connector lines.

274 00:29:02.520 00:29:04.120 Amber Lin: Awesome.

275 00:29:04.920 00:29:08.270 Zoran Selinger: Let’s see… That’s going to look good.

276 00:29:10.970 00:29:15.370 Zoran Selinger: I took your advice, and I start… I started using Seabourn.

277 00:29:16.250 00:29:25.649 Amber Lin: I mean, I took… I took, cursor’s advice. I use whatever it gives me, but you can tell it… I think C1 just looks better.

278 00:29:25.960 00:29:29.730 Zoran Selinger: It’s… yeah, they’re good. I’ll like them.

279 00:29:32.910 00:29:34.859 Zoran Selinger: We’re done? Yeah, let me…

280 00:29:38.190 00:29:40.020 Zoran Selinger: Does it have the data?

281 00:29:42.640 00:29:43.750 Zoran Selinger: It doesn’t.

282 00:29:44.660 00:29:47.020 Zoran Selinger: Need to rerun a few cells.

283 00:29:48.770 00:29:50.360 Zoran Selinger: Let’s see here…

284 00:29:54.470 00:29:58.190 Zoran Selinger: The client is not… yeah, I have to auth again.

285 00:29:59.400 00:30:00.759 Zoran Selinger: Give me a second…

286 00:30:11.150 00:30:18.870 Amber Lin: When we say good, high click-through rate and good position, position is just when… where it shows up on the search, right?

287 00:30:18.870 00:30:19.770 Zoran Selinger: Yes.

288 00:30:22.040 00:30:22.720 Amber Lin: Oh, sweet.

289 00:31:30.130 00:31:34.569 Zoran Selinger: Sorry, let me just… almost done here.

290 00:31:40.320 00:31:41.840 Zoran Selinger: I had to reauth.

291 00:31:42.490 00:31:42.990 Amber Lin: Hmm.

292 00:31:43.240 00:31:45.739 Zoran Selinger: refetch the data.

293 00:31:48.590 00:31:53.010 Zoran Selinger: And now… Visualize…

294 00:31:57.690 00:32:01.600 Zoran Selinger: No, no.

295 00:32:01.700 00:32:02.700 Zoran Selinger: Not good.

296 00:32:03.120 00:32:03.820 Zoran Selinger: Hmm.

297 00:32:09.780 00:32:20.680 Amber Lin: I can try to do, like, copy and paste. I’ll replace the text, it’s okay. Let’s, let’s go on to the next one. I’ll make,

298 00:32:22.560 00:32:24.770 Amber Lin: A little image and replace it.

299 00:32:36.880 00:32:40.129 Amber Lin: I’ll just replace the text box. It’s all good.

300 00:32:40.740 00:32:41.930 Amber Lin: I figured.

301 00:32:42.060 00:32:47.010 Amber Lin: That’s the last… Last choice we can do.

302 00:32:48.090 00:32:53.749 Zoran Selinger: I mean, I’ll get this done, don’t worry about it. I’ll for sure get it done.

303 00:32:54.610 00:33:00.920 Zoran Selinger: But yeah, we can, we can move on, just so I… I can send you, a fixed chart.

304 00:33:01.270 00:33:02.190 Amber Lin: Sounds good.

305 00:33:02.810 00:33:03.720 Amber Lin: Cool.

306 00:33:03.840 00:33:13.749 Amber Lin: I just… I just did a little, copy and paste, and it’s really ugly, but it’s… it’s whatever. Okay, slide, slide 6.

307 00:33:15.660 00:33:24.249 Amber Lin: do we want to talk about their location of tragedy? Like, what… what do the execs get out of it? Like, what… why would they…

308 00:33:24.710 00:33:28.720 Amber Lin: Like, they will ask, so what? So what will… how will we answer that?

309 00:33:29.830 00:33:39.630 Zoran Selinger: So this is, okay, so let’s… so location. Okay, so… having…

310 00:33:40.550 00:33:46.200 Zoran Selinger: Yeah, we don’t need all those bubbles. We can just add a recommendation.

311 00:33:46.200 00:33:46.790 Amber Lin: Nope.

312 00:33:46.790 00:34:01.040 Zoran Selinger: That is… basically, location-specific landing pages are good… are good places to focus with SEO and paid.

313 00:34:01.190 00:34:02.829 Zoran Selinger: To drive traffic to.

314 00:34:05.240 00:34:05.790 Zoran Selinger: Yeah.

315 00:34:05.900 00:34:11.560 Zoran Selinger: So just whatever optimization that is happening on the SEO and paid.

316 00:34:12.110 00:34:15.670 Zoran Selinger: They sh… that should be geared towards…

317 00:34:15.679 00:34:16.799 Amber Lin: I see.

318 00:34:16.800 00:34:19.190 Zoran Selinger: the specific location pages, they’re just…

319 00:34:19.199 00:34:23.859 Amber Lin: Should we use the conversion page, conversion chart instead?

320 00:34:31.600 00:34:33.230 Amber Lin: Or do you think the…

321 00:34:34.880 00:34:44.680 Zoran Selinger: Yeah, yeah, we can use the conversion chart. It’s definitely answering the so what question better than the engagement rate.

322 00:34:47.960 00:34:51.009 Amber Lin: Do you think so? The engagement rate has the.

323 00:34:52.770 00:34:54.939 Zoran Selinger: Yeah, but the engagement rate is not, sorry.

324 00:34:55.429 00:34:58.570 Zoran Selinger: Engagement rate is not really.

325 00:34:59.980 00:35:01.539 Amber Lin: It’s not money for them.

326 00:35:01.540 00:35:04.570 Zoran Selinger: Yeah, it’s not money. It’s simply money.

327 00:35:04.570 00:35:05.730 Amber Lin: See? Cool.

328 00:35:08.430 00:35:09.730 Amber Lin: Bye!

329 00:35:20.440 00:35:27.750 Amber Lin: Austin… And… Send…

330 00:35:36.860 00:35:45.880 Zoran Selinger: Okay, what you did artificially, just, put a box over… over the link? Yes. I think that’s…

331 00:35:46.120 00:35:47.730 Zoran Selinger: Gonna do it.

332 00:35:47.730 00:35:51.219 Amber Lin: Yeah, it’s okay, we’ll just… It’s leaving, it’s not…

333 00:35:51.220 00:35:53.769 Zoran Selinger: It’s not doing what I’m asking it to do.

334 00:35:53.930 00:36:01.460 Amber Lin: Cool. What would the header be?

335 00:36:12.600 00:36:15.139 Amber Lin: Like, engagement and conversion rate.

336 00:36:15.140 00:36:25.600 Zoran Selinger: So these are landing pages, right? This is… these are, landing pages. So, location landing pages,

337 00:36:26.100 00:36:29.259 Zoran Selinger: convert… Traffic very well.

338 00:36:30.200 00:36:30.679 Amber Lin: I see.

339 00:36:30.680 00:36:32.070 Zoran Selinger: I think it’s as simple as that.

340 00:36:32.070 00:36:37.410 Amber Lin: Engagement, and preferred… Great.

341 00:36:39.930 00:36:41.679 Zoran Selinger: It’s as simple as that.

342 00:36:42.550 00:36:43.929 Amber Lin: Cool. Okay.

343 00:36:44.330 00:36:53.700 Amber Lin: The number 7 I’ll leave to Ryan to do his, like, generative… Engine optimization.

344 00:36:53.900 00:36:58.029 Amber Lin: Anything you want to add on slide 9?

345 00:36:59.980 00:37:05.110 Zoran Selinger: Well, let me check… Yeah.

346 00:37:19.380 00:37:29.160 Zoran Selinger: So I don’t know, yeah, I mean, we should immediately start, start, drafting hypotheses for A-B tests.

347 00:37:30.150 00:37:34.400 Zoran Selinger: Particularly for the order review step.

348 00:37:35.820 00:37:39.780 Amber Lin: Don’t they have also a lot of drop-off at service selection?

349 00:37:43.480 00:37:44.860 Amber Lin: That’s… that’s also.

350 00:37:44.860 00:37:45.470 Zoran Selinger: duel.

351 00:37:45.470 00:37:46.000 Amber Lin: 85.

352 00:37:46.000 00:37:56.720 Zoran Selinger: 100%. They do, but, I mean, the service selection, is… that should be a problem of…

353 00:37:59.390 00:38:01.149 Zoran Selinger: Of the traffic.

354 00:38:02.530 00:38:03.290 Amber Lin: Oh!

355 00:38:03.700 00:38:13.029 Zoran Selinger: So that sounds to me like it’s more a traffic problem. Why are people landing on a service selection if

356 00:38:13.210 00:38:19.650 Zoran Selinger: what they are requesting is not there. Now, the question is, if it’s not there.

357 00:38:20.430 00:38:24.080 Zoran Selinger: Is it the wrong traffic? Or…

358 00:38:25.160 00:38:37.719 Zoran Selinger: Is our… are our selections… is our selection not complete, or maybe they don’t understand it well, the category that they would

359 00:38:37.830 00:38:41.450 Zoran Selinger: Put their request, into…

360 00:38:41.630 00:38:45.380 Zoran Selinger: To me, it seems like they have a lot of options.

361 00:38:45.590 00:38:54.369 Zoran Selinger: when selecting a service, and I was watching the video for… for UTAM, that, where Utang,

362 00:38:54.720 00:39:02.520 Zoran Selinger: Went through the process, and he wasn’t sure where to put, what to select when…

363 00:39:02.740 00:39:07.900 Zoran Selinger: He wanted to do some electrical work, or HVAC work.

364 00:39:07.900 00:39:08.426 Amber Lin: Huh.

365 00:39:10.390 00:39:16.490 Zoran Selinger: So those two things might not be clear, but that’s… those two areas are the clear focus.

366 00:39:21.370 00:39:23.670 Amber Lin: Cool. Okay. So we can…

367 00:39:23.900 00:39:32.220 Amber Lin: Is clicked by their only conversion funnel, or is there other ones, but we just can’t track them?

368 00:39:32.220 00:39:44.220 Zoran Selinger: I mean, this is the only clear one. Everything else is phone calls, form submissions, and all that, right? I see. Those are tracked by the conversion rates that you see there.

369 00:39:45.640 00:39:48.179 Zoran Selinger: But there’s no funnel, per se.

370 00:39:48.380 00:39:50.280 Amber Lin: on, on them. This is…

371 00:39:50.280 00:39:54.519 Zoran Selinger: A clearly defined funnel, where we have the steps that we need to go through.

372 00:39:54.520 00:39:55.360 Amber Lin: I see.

373 00:39:55.360 00:39:57.860 Zoran Selinger: Yeah, yeah. It’s not escalator for everything else.

374 00:39:57.860 00:39:59.259 Amber Lin: Is that in the…

375 00:39:59.260 00:40:00.420 Zoran Selinger: income.

376 00:40:01.670 00:40:08.140 Zoran Selinger: become a lead, or make a phone call from any page, really. So there’s no funnel.

377 00:40:09.560 00:40:10.140 Zoran Selinger: No.

378 00:40:11.340 00:40:19.550 Amber Lin: Yeah. What would be the last… next steps here? So, I know there’s… on the conversion side, we would want to look at

379 00:40:19.670 00:40:25.950 Amber Lin: other funnels, and we want to start, like, click-to-buy A-B tests, What?

380 00:40:28.610 00:40:29.440 Amber Lin: Else.

381 00:40:29.720 00:40:31.720 Zoran Selinger: We need e-commerce tracking?

382 00:40:32.370 00:40:32.900 Zoran Selinger: Because…

383 00:40:33.390 00:40:39.439 Zoran Selinger: There’s no visibility on Click to Buy in there at all. We have no visibility.

384 00:40:40.190 00:40:40.760 Amber Lin: Nope.

385 00:40:43.450 00:40:45.550 Zoran Selinger: We need, we need to…

386 00:40:46.040 00:40:51.039 Zoran Selinger: I mean, there’s technical stuff, like filtering out bot traffic from Google Analytics.

387 00:40:51.200 00:40:57.049 Amber Lin: Yeah, I think more so, like, what analytics would be the next step?

388 00:40:57.400 00:41:09.080 Amber Lin: Like, do you want to look at more years of data? Do you want to sync with any market data? Or, like, what analysis would you do after this?

389 00:41:13.190 00:41:14.869 Zoran Selinger: So I don’t know if we…

390 00:41:15.360 00:41:21.130 Zoran Selinger: If we need to go into… into that, we have plenty.

391 00:41:22.220 00:41:25.100 Zoran Selinger: to do before.

392 00:41:26.550 00:41:35.439 Zoran Selinger: I feel like we do have incomplete data, right? At least in Google Analytics, so it’s hard to rely on it.

393 00:41:36.790 00:41:38.310 Zoran Selinger: very much.

394 00:41:40.410 00:41:45.739 Zoran Selinger: What’s really clear here are, you know, those few channels.

395 00:41:48.480 00:41:53.040 Zoran Selinger: And, these funnels are really clear. This data is correct.

396 00:41:53.290 00:42:03.610 Zoran Selinger: Right? But for, like, e-commerce, we are missing things. Cool. We have bought… bought traffic in there, so it’s… I don’t know…

397 00:42:04.010 00:42:07.540 Zoran Selinger: What we would get from me, like, let’s say going…

398 00:42:08.100 00:42:15.870 Zoran Selinger: going back more. I could… let me just see… when… when do we present this?

399 00:42:16.260 00:42:23.960 Amber Lin: Probably Thursday or later, like, a quick run-through on Thursday, maybe they’ll want another deeper session.

400 00:42:28.780 00:42:31.890 Zoran Selinger: I’ll… I’m going to pull channel comparisons.

401 00:42:32.050 00:42:34.620 Zoran Selinger: Over a longer period of time.

402 00:42:39.160 00:42:44.070 Zoran Selinger: Just to see how they, how they… How they…

403 00:42:46.180 00:42:49.439 Zoran Selinger: trended, over the last, let’s say, 3 years.

404 00:42:50.470 00:42:54.240 Amber Lin: Okay, I’m on slide 11, by the way.

405 00:42:56.350 00:43:01.360 Amber Lin: This is more of to let them know that we have a plan after this, so…

406 00:43:01.610 00:43:08.619 Amber Lin: We might not do the exact things we say, but just to let them know, like, this is what we want to do.

407 00:43:18.610 00:43:22.299 Zoran Selinger: Yeah, that’s good. I think that’s plenty to start.

408 00:43:22.570 00:43:29.949 Amber Lin: Cool, okay. I think that’s all we need. You do want access to the…

409 00:43:30.080 00:43:32.260 Amber Lin: Like, the other accounts, right?

410 00:43:32.260 00:43:34.039 Zoran Selinger: Google Tag Manager, yes, yes.

411 00:43:34.040 00:43:35.320 Amber Lin: slide 12. Yeah.

412 00:43:35.320 00:43:39.340 Zoran Selinger: Yeah, so I would also, yeah, review Google Tag Manager implementation.

413 00:43:40.010 00:43:41.319 Amber Lin: Cool. Okay.

414 00:43:42.290 00:43:43.630 Amber Lin: That would be good.

415 00:43:47.010 00:43:48.180 Zoran Selinger: Okay, cool.

416 00:43:49.510 00:43:57.719 Amber Lin: Awesome, yeah, thank you. I will let Utam know that we made good progress here, and then I’ll edit the slides probably tomorrow when I have time.

417 00:43:58.100 00:43:58.980 Zoran Selinger: Sure, thanks.

418 00:43:59.300 00:44:00.470 Amber Lin: Oh, thank you so much!

419 00:44:00.470 00:44:01.429 Zoran Selinger: Have a good night.