Every Friday we share one non-obvious insight from your favorite creators in our newsletter.
Feb. 8, 2022

The Dashboard of Truth with Monica Sullivan

The player is loading ...
B2B Growth

In this episode Benji talks to Monica Sullivan CMO at Demand Science.

As B2B leaders we know data is important, but aligning sales and marketing with one common scorecard can be tough. Monica dispels the needed metrics to push your revenue teams forward, providing practical insights to help you create one dashboard to rule them all.

Transcript
WEBVTT 1 00:00:05.240 --> 00:00:10.589 Welcome in to be toob growth. Excited for today's episode. We have Monica 2 00:00:10.669 --> 00:00:15.310 Sullivan here. She's the chief marketing officer at demand science. Monica, welcome 3 00:00:15.429 --> 00:00:18.190 to be to be growth. There'll to be here, Venie, absolutely so. 4 00:00:18.469 --> 00:00:24.300 You have extensive experience building, leading teams driving business success. You've worked 5 00:00:24.339 --> 00:00:29.579 at companies like constant contact GNET. So I think this conversation is really going 6 00:00:29.620 --> 00:00:34.899 to be insightful. Monica, let's start here thinking of your kind of current 7 00:00:35.060 --> 00:00:40.009 just daytoday, work at demand science as chief marketing officer. What excites you 8 00:00:40.130 --> 00:00:45.210 right now in your current role? Well, the most exciting thing that we're 9 00:00:45.289 --> 00:00:49.490 tackling that, and it really is still a big pain point, is solving 10 00:00:49.810 --> 00:00:54.039 the chasm between sales and marketing and really, you know, it's steeped in 11 00:00:54.079 --> 00:00:56.799 data challenges, but there's a whole lot more baggage in there, and I 12 00:00:56.880 --> 00:01:00.679 have some stats from research we've done to share with you as well. So 13 00:01:00.359 --> 00:01:03.310 it's kind of an age old thing, but I think it's just interesting to 14 00:01:03.349 --> 00:01:07.349 see where we're still miles apart and where we're actually getting closer and realizing, 15 00:01:08.189 --> 00:01:11.629 you know, that there's opportunity to fix this and we want to. Yeah, 16 00:01:12.269 --> 00:01:18.230 the topic that will kind of drill on today does touch right there, 17 00:01:18.230 --> 00:01:21.939 right where. It's like marketing and sales. It's this constant sort of friction. 18 00:01:22.140 --> 00:01:26.700 You hear a lot of talk on Linkedin or in the Bob space around 19 00:01:26.780 --> 00:01:30.939 that. How do we allow line and so excited to get your insights from 20 00:01:30.939 --> 00:01:36.810 a marketing perspective, as you are a leader. What have you experienced in 21 00:01:37.010 --> 00:01:42.049 your marketing history where you see that friction kind of firsthand? Yeah, I 22 00:01:42.209 --> 00:01:46.890 mean it is everywhere. So it's not something that's people should feel personally badly 23 00:01:46.930 --> 00:01:49.560 about. It's really and he like I said, the age old thing where 24 00:01:49.959 --> 00:01:56.040 marketing continues to feel as though sales is just not picking up on the great 25 00:01:56.040 --> 00:01:59.480 leads that are being sent over. They're not closing them fast enough or even 26 00:01:59.519 --> 00:02:04.989 following up. There's just a misunderstanding about why these great leads don't seem to 27 00:02:05.069 --> 00:02:09.349 be great from a sales perspective. whose responsibility is or who creates the better 28 00:02:09.430 --> 00:02:15.629 leads, whether it's sales or marketing? You know, marketings perspective. Maybe 29 00:02:15.500 --> 00:02:20.379 you know someone picks up the phone because we've created the air cover of awareness 30 00:02:20.539 --> 00:02:23.539 for you so that they're ready for you and marketing will say I'm calling them 31 00:02:23.699 --> 00:02:28.620 and that's why they're coming back to the website. So there's just this really 32 00:02:28.740 --> 00:02:34.210 interesting dynamic that's always happening and I don't think it's about who gets credit because 33 00:02:34.210 --> 00:02:37.810 at the end of the day we are one general, you know, revenue 34 00:02:37.810 --> 00:02:43.210 jetterating team. We're supposed to be aligned on that front and that's where teams 35 00:02:43.250 --> 00:02:49.520 can be the most successful is when everyone is working toward one revenue target, 36 00:02:49.560 --> 00:02:53.840 where the KPIS are aligned, where sales and marketing both feel responsibility and are 37 00:02:54.560 --> 00:03:00.669 even bonused on revenue. So it's really everybody's responsibility. So that's definitely a 38 00:03:00.789 --> 00:03:02.909 first step, but it's just, you know, it has we have data 39 00:03:02.990 --> 00:03:07.990 that supports what we are already know that a fifty eight percent of marketers will 40 00:03:07.990 --> 00:03:13.099 say the leads I delivered a sales are better, and fourteen percent of the 41 00:03:13.139 --> 00:03:16.740 salespeople agree, you know. So it's just a big gap. Oh okay, 42 00:03:16.900 --> 00:03:21.699 so I feel like there is some movement overall in the B tob space 43 00:03:21.740 --> 00:03:25.060 where we're seeing revenue teams, where we're seeing that conversation. We're going to 44 00:03:25.139 --> 00:03:29.689 have sales and marketing in the same on the same calls in the same beatings 45 00:03:29.969 --> 00:03:36.770 we but what if sales and marketing are still viewed in organizations listening to this 46 00:03:36.810 --> 00:03:39.210 as two completely different departments? What are you telling them? We need to 47 00:03:39.370 --> 00:03:44.759 stop doing this and maybe we need to start trying this. What would you 48 00:03:44.759 --> 00:03:49.639 say, Monica? You know a lot of it is stop just the personal 49 00:03:49.680 --> 00:03:53.639 opinions and start getting together with meetings and what we've developed on our team. 50 00:03:53.680 --> 00:03:58.629 And what I recommend for everyone is a dashboard of truth. You know, 51 00:03:58.710 --> 00:04:00.389 at the end of the day, if you have a data source of truth 52 00:04:00.629 --> 00:04:05.550 of what's happening in the pipeline, that you're using the common version of your 53 00:04:05.629 --> 00:04:12.419 ideal customer profile, that you agree on what the lead scoring metrics are and 54 00:04:12.500 --> 00:04:15.339 what constitutes a lead score of one versus five, you know, at the 55 00:04:15.379 --> 00:04:19.379 end of the day, the data tells the story and and while this opportunity 56 00:04:19.420 --> 00:04:23.220 to keep refining it, while you need to keep refining it, that that's 57 00:04:23.500 --> 00:04:27.449 the communication and process. So you need the data, you need to be 58 00:04:27.569 --> 00:04:31.209 talking all the time about what's happening and aligning on why certain leads don't seem 59 00:04:31.209 --> 00:04:35.370 to be scoring out the way they showed or why sales isn't following up the 60 00:04:35.449 --> 00:04:41.240 certain leads that score higher and then the process around how do you use the 61 00:04:41.279 --> 00:04:45.680 data, particularly from a marketing perspective, inbound leads that are permission based, 62 00:04:46.519 --> 00:04:50.920 penning that data with information that says that helps the salesperson prioritize and getting better 63 00:04:50.959 --> 00:04:56.069 and better at using data and insights to get conversion to, you know, 64 00:04:56.189 --> 00:05:00.509 happen more quickly and when everyone is aligned on that and feel like one team 65 00:05:00.550 --> 00:05:05.149 together, that's where the magic is. Yeah, so you said the Dashboard 66 00:05:05.189 --> 00:05:09.980 of truth. That's where I want to start to ask you some follow up 67 00:05:09.980 --> 00:05:14.579 questions because I think it's so important that you have something common that you're looking 68 00:05:14.579 --> 00:05:18.300 at that assesses what's working and then maybe what's not right now. So talk 69 00:05:18.420 --> 00:05:23.970 me through what brought you to this idea of we need a dashboard of truth 70 00:05:24.170 --> 00:05:29.089 and what is what's on there? Yeah, great question. So for a 71 00:05:29.209 --> 00:05:32.689 while, even within sales force, the marketing team had their own dashboard and 72 00:05:32.730 --> 00:05:38.600 the sales team had a different board and the sales dashboard showed a much different 73 00:05:38.600 --> 00:05:44.759 attribution, much lower attribution of marketing griven sales into outcomes and the marketing dashboard 74 00:05:45.160 --> 00:05:50.029 unsurprisingly, had a higher attribution marketing. Would look at potentially an attribution win. 75 00:05:50.230 --> 00:05:54.029 Know of you know, something was a lead that came in and it 76 00:05:54.149 --> 00:05:59.750 closed within certain you know, let's say ninety days, that would count sales 77 00:05:59.949 --> 00:06:03.069 only one to account the the first deal that came in the door and if 78 00:06:03.189 --> 00:06:06.300 that didn't close, that was the end of the funnel. And so, 79 00:06:08.180 --> 00:06:11.180 you know, that was one sort of a ha moment for us and for 80 00:06:11.379 --> 00:06:15.500 many teams, you know, understanding kind of how we think about what counts 81 00:06:15.540 --> 00:06:18.370 as a marketing qualified lead and the attribution. The other piece of it is 82 00:06:18.529 --> 00:06:25.410 that, you know, we didn't have an automated scoring system. So the 83 00:06:25.529 --> 00:06:30.329 sales team would score leads and they would manually, you know, put the 84 00:06:30.449 --> 00:06:35.800 scoring into their dashboard and and determine whether or not something was a low score 85 00:06:35.800 --> 00:06:43.560 or high score. And we weren't using data necessarily to help improve that quality 86 00:06:43.639 --> 00:06:47.829 metric help them prioritize the leads that showed more promise based on either, you 87 00:06:47.949 --> 00:06:53.670 know, either technographic information, so installs that tells the salesperson, Hey, 88 00:06:53.750 --> 00:06:59.189 this person has other competitors, you know, in their on their site, 89 00:06:59.389 --> 00:07:03.420 so you can tell that embedded text act that they could be a good prospect 90 00:07:03.459 --> 00:07:08.139 for us, or, in some cases you know our clients are using other 91 00:07:08.220 --> 00:07:12.420 metrics and ways to qualify, like revenue. If it's not a certain size 92 00:07:12.540 --> 00:07:15.379 company, maybe they're not going to be able to pay for, you know, 93 00:07:15.459 --> 00:07:17.769 the services based on our size average deal. So there's a lot of 94 00:07:18.129 --> 00:07:20.930 ways you can use data to help qualify and not just have it all the 95 00:07:21.009 --> 00:07:27.410 manual. The other challenge we had was that there wasn't a quick enough response 96 00:07:27.850 --> 00:07:31.040 to leads. So back in two thousand and eleven, you may remember this, 97 00:07:31.279 --> 00:07:35.000 but Howard Business Review came out with a study that said you've got to 98 00:07:35.079 --> 00:07:39.439 get to, you know, two leads quickly in the B tob space was 99 00:07:39.560 --> 00:07:43.920 like back in the day was twenty four hours. Well, today it's within 100 00:07:44.040 --> 00:07:47.550 minutes, and we did some research that I had mentioned earlier. It said 101 00:07:48.110 --> 00:07:53.189 eighty percent of stills and marketing teams say that they don't get back to people 102 00:07:53.189 --> 00:07:58.740 within twenty five minutes, and so there's still a big opportunity for getting to 103 00:07:58.860 --> 00:08:03.100 people faster, and one of the reasons why that doesn't happen is often because 104 00:08:03.819 --> 00:08:07.500 there's this question of how qualified the lead is and concern that they may not 105 00:08:07.579 --> 00:08:11.379 be a fit. So the more you can use data to drive the right 106 00:08:11.540 --> 00:08:16.089 hot leads to sales more quickly and then spend time with either a lead development 107 00:08:16.129 --> 00:08:20.449 rapper or a sales development wrap to qualify further if that's needed. You can 108 00:08:20.490 --> 00:08:24.769 at least get to the hot deals more quickly and you know, make sure 109 00:08:24.850 --> 00:08:30.439 when someone is in front of their computer searching, looking for solutions, you're 110 00:08:30.560 --> 00:08:33.600 there and and you've probably seen it yourself. You know the best customer, 111 00:08:33.759 --> 00:08:39.600 that's sorry, the best sales organizations are coming back to you within moments with 112 00:08:39.799 --> 00:08:41.750 either an email or call or both. Once you fill in a form, 113 00:08:43.509 --> 00:08:46.470 you know they're right there to have a conversation. Yeah, and you got 114 00:08:46.590 --> 00:08:50.029 to walk that fine line right, because you might get it. You might 115 00:08:50.070 --> 00:08:52.870 get it right, you might reach out in the first twenty five minutes, 116 00:08:52.909 --> 00:08:56.299 but that person better know their stuff, they better be personable. There's like 117 00:08:56.500 --> 00:08:58.220 so many things that then you have to be good at as a salesperson. 118 00:08:58.259 --> 00:09:01.779 So there's so many things we could dive into even on that part of the 119 00:09:01.899 --> 00:09:05.419 process. But you said eighty percent don't get back in twenty five minutes and 120 00:09:05.620 --> 00:09:09.370 I want to I want to talk about that for a second. What does 121 00:09:09.490 --> 00:09:13.450 that first touch in your mind need to kind of like look like? Is 122 00:09:13.490 --> 00:09:18.409 there anything there that you would give as like an insight? Because we all 123 00:09:18.529 --> 00:09:22.049 want better quality leads, right, we all want more quality leads, but 124 00:09:22.129 --> 00:09:24.360 then also that first touches is important. So I thought maybe we just talked 125 00:09:24.360 --> 00:09:28.039 about that for a second. Yeah, and I will say I'm you know, 126 00:09:28.159 --> 00:09:31.240 have to give creds to our sales organization. Not only do we have 127 00:09:31.279 --> 00:09:35.200 a great sales development team and they do all the right training and we've got 128 00:09:35.320 --> 00:09:39.149 truly a great sales team, and that's a lot of process and work, 129 00:09:39.509 --> 00:09:43.590 you know, by the salesops group, by the sales support teams. It's 130 00:09:43.629 --> 00:09:48.470 not just sales, but it is about understanding the person's need. So they 131 00:09:48.710 --> 00:09:52.419 fill out the form for a reason and our team focuses on what on the 132 00:09:52.500 --> 00:09:58.620 why? Not necessarily the idea that they need us for their data, for 133 00:09:58.700 --> 00:10:03.059 their pipeline support. You know, we obviously deliver be to be data and 134 00:10:03.139 --> 00:10:09.129 help them with with permission based leads, but there's a why specifically they're looking 135 00:10:09.129 --> 00:10:13.250 for help from us that we try to get under and it's not so it's 136 00:10:13.570 --> 00:10:18.169 it's sets up that more consultative engagement. It's not just hey, you were 137 00:10:18.210 --> 00:10:20.919 looking for data, I have it. You know. So it's much more 138 00:10:22.000 --> 00:10:26.240 of a conversation and obviously there's a lot of training behind that. But you 139 00:10:26.360 --> 00:10:30.879 mentioned personal. Like it is personal. These people are trying to solve a 140 00:10:31.080 --> 00:10:35.629 business knee. They're trying to grow. There's still a lot of opportunity to 141 00:10:35.710 --> 00:10:41.870 improve the data that's out there provide more accurate data. It can be expensive, 142 00:10:41.110 --> 00:10:45.230 you know, so they're trying to make sure that they make a great 143 00:10:45.269 --> 00:10:48.950 choice about the data that they use in the partner that they pick to help 144 00:10:48.149 --> 00:10:52.740 feed the top of their funnel to help improve, you know, how the 145 00:10:52.820 --> 00:10:56.059 quality leads. They can get in and obviously convert faster. So they're trying 146 00:10:56.100 --> 00:11:01.179 to make sure that they can succeed in their own role and pick a great 147 00:11:01.179 --> 00:11:05.049 vendor that is, you know, the right price as well. Right. 148 00:11:05.409 --> 00:11:09.529 Taking us back to the dashboard, I'm thinking through some of those issues that 149 00:11:09.649 --> 00:11:13.529 you guys were having. When it's separated out, and you mentioned mqls. 150 00:11:15.570 --> 00:11:20.120 Talk me through once you're more data driven, once you're actually looking at some 151 00:11:20.200 --> 00:11:24.279 of that, how did you work to go from this is a problem on 152 00:11:24.399 --> 00:11:28.519 to dashboards to now this is actually what an mql is, and define that 153 00:11:28.639 --> 00:11:35.269 better. Yeah, so we started with a couple of different personas ICPs, 154 00:11:35.509 --> 00:11:39.509 you know, ideal customer profiles and that's something that we really talk about as 155 00:11:39.549 --> 00:11:43.789 a team a lot, making sure that we're pushing on that. You know, 156 00:11:43.909 --> 00:11:46.870 do we really feel like this is the right person and we're finding them 157 00:11:46.909 --> 00:11:50.700 in the right places? As we do targeted marketing, as we, you 158 00:11:50.779 --> 00:11:54.299 know, obviously retarget and make sure that they're the messages make sense based on 159 00:11:54.419 --> 00:11:58.700 where they've been searching. Like I said, we look to see there's any 160 00:11:58.740 --> 00:12:03.649 other signals that they're providing that show that they're really in market for the product, 161 00:12:03.809 --> 00:12:07.850 that they're at least consuming content, that there's potentially even something that we 162 00:12:09.129 --> 00:12:13.330 have is called confirmed connect where, you know, did they pick up a 163 00:12:13.409 --> 00:12:16.360 cold call in the neck in the last three thousand six ninety days? Did 164 00:12:16.360 --> 00:12:20.799 they respond to an email? So they're truly more engaged and potentially a better, 165 00:12:20.879 --> 00:12:24.480 higher priority for sales because they're engaging and they're going to pick up the 166 00:12:24.519 --> 00:12:28.399 phone. You know, sales people want efficiency and they're going to prioritize somebody 167 00:12:28.440 --> 00:12:31.350 who will pick up the phone faster. So we look at all of those 168 00:12:31.350 --> 00:12:35.549 things when we're looking at the dashboard of you know, how quickly we getting 169 00:12:35.549 --> 00:12:39.549 back to people? Are we are we within kind of our sales process and 170 00:12:39.629 --> 00:12:43.940 getting getting that connect with the sale with a customer faster? You know, 171 00:12:45.019 --> 00:12:50.419 are we able to move people through the pipeline and get more qualified leads? 172 00:12:50.500 --> 00:12:52.379 So in our case it's a kind of a simple score card of, you 173 00:12:52.419 --> 00:12:56.220 know, one hundred and twenty five. So fours and fives are the most 174 00:12:56.220 --> 00:13:01.129 highly qualified and ones and two there are not. But we keep the scoring 175 00:13:01.529 --> 00:13:09.289 and the dashboard to the sales ops people and our team. But we don't 176 00:13:09.289 --> 00:13:13.440 want the sales people to know whether something was scored two, three or four 177 00:13:13.480 --> 00:13:16.720 or two. We want them to if they get the lead. We want 178 00:13:16.759 --> 00:13:20.559 them to follow up every time they get the lead because systematically and process wise, 179 00:13:20.320 --> 00:13:24.600 their hand a lead, it should be qualified by a timid gets to 180 00:13:24.679 --> 00:13:28.909 them, because earlier on we were realizing that when they could see what the 181 00:13:28.990 --> 00:13:33.309 score was in sales force, if it was a lower score, they were 182 00:13:33.389 --> 00:13:37.789 deprioritizing and they were not they were not falling up as quickly. So there's 183 00:13:37.789 --> 00:13:43.139 a whole method to the madness around what people see and what we've determined as 184 00:13:43.179 --> 00:13:46.019 a team. If it's if it's qualified, you should follow up. So 185 00:13:46.419 --> 00:13:50.220 there's some of those things that happen that you work on as a team over 186 00:13:50.379 --> 00:13:56.450 time and improve them. So it's data. It's obviously the process that decides 187 00:13:56.169 --> 00:14:01.210 which which salesperson. You know, we route the different leads to. So 188 00:14:01.370 --> 00:14:05.690 we have a strategic team that takes on, you know, those larger accounts 189 00:14:05.809 --> 00:14:09.960 we have on our radar and commercial team that will take on all the others. 190 00:14:11.480 --> 00:14:15.799 You know, we really focus on software technology and BE TO BE SERVICES 191 00:14:15.879 --> 00:14:18.879 COMPANIES. So, you know, we're very clear on who our customer is. 192 00:14:20.080 --> 00:14:24.159 That is a fit that typically has the budget for the things that we're 193 00:14:24.509 --> 00:14:28.309 that you know that we provide because they have a need and they you know 194 00:14:28.470 --> 00:14:33.470 that you know their business is really looking for kind of that high quality lead 195 00:14:33.509 --> 00:14:37.309 at the top of the funnel, as well as some additional data for sales. 196 00:14:37.429 --> 00:14:43.100 So but we do look constantly at we improving. Are Qualified leads? 197 00:14:43.779 --> 00:14:46.740 Is there a gap? And we do look at the things that don't make 198 00:14:46.779 --> 00:14:50.259 sense, and so we meet, you know, as a team regularly to 199 00:14:50.340 --> 00:14:54.370 say, you know, here the leads that should have been more qualified. 200 00:14:56.129 --> 00:14:58.409 Let's look at why they weren't. Let's improve our process, let's improve our 201 00:14:58.450 --> 00:15:05.169 targeting from a marketing standpoint. Let's change our messaging so and really challenge each 202 00:15:05.169 --> 00:15:09.440 other. You know, if we think that hypothesis is that certain leads, 203 00:15:09.600 --> 00:15:13.639 you know, should be qualified based on where we find them and what kind 204 00:15:13.679 --> 00:15:18.759 of what keywords are coming in on and what businesses and if they're not closing, 205 00:15:18.440 --> 00:15:22.909 we have that hard conversation about you know, is it you know there's 206 00:15:22.909 --> 00:15:26.830 something that is different with the Reps. you know, is it training needed 207 00:15:28.029 --> 00:15:31.110 or is it really yeah, you know what we're doing in marketing and how 208 00:15:31.149 --> 00:15:35.779 we're how we're delivering the leads, but it's that conversation that helps us improve 209 00:15:35.860 --> 00:15:39.740 and then always challenging. Maybe, you know the funnel is expanding, maybe 210 00:15:39.779 --> 00:15:41.980 there are more people interested in your solution. So you don't want to just 211 00:15:43.940 --> 00:15:48.580 focus on the ideal customer profile that you've always had. You know, as 212 00:15:48.620 --> 00:15:50.570 a team at working together and you realize that there are some outliers. You 213 00:15:50.649 --> 00:15:56.210 can have an opportunity to identify a bigger total, a rest of a market, 214 00:15:56.210 --> 00:16:00.929 because you're looking at the data together and you're talking versus just looking at 215 00:16:00.970 --> 00:16:07.679 the old definition of your f your personas. Hey, everyone, if you've 216 00:16:07.720 --> 00:16:11.360 been listening, to be to be growth for a while. You know that 217 00:16:11.480 --> 00:16:15.759 we are big proponents of putting out original, organic content on Linkedin, but 218 00:16:15.919 --> 00:16:21.110 one thing that's always been a struggle for a team like ours is easily tracking 219 00:16:21.230 --> 00:16:26.710 the reach of that linkedin content. That's why we're really excited about shield analytics. 220 00:16:26.990 --> 00:16:30.470 Since our team started using shield, we've been able to easily track the 221 00:16:30.549 --> 00:16:34.299 reach and performance of our linkedin content without having to manually log it ourselves. 222 00:16:34.340 --> 00:16:41.059 It automatically creates reports and it generates dashboards that are incredibly useful to determining things 223 00:16:41.460 --> 00:16:45.700 like what content has been performing the best, what days of the week are 224 00:16:45.740 --> 00:16:51.490 we getting the most engagement and our average views her post. Shield has been 225 00:16:51.529 --> 00:16:56.330 a game changer for our entire team's productivity and performance on Linkedin. I highly 226 00:16:56.409 --> 00:17:02.440 suggest checking out this tool if you're publishing content on Linkedin for yourselves or for 227 00:17:02.679 --> 00:17:07.880 your company. You can get a ten day free trial at shield APP DOT 228 00:17:07.960 --> 00:17:11.480 AI, or you can get a twenty five percent discount with our Promo Code, 229 00:17:11.839 --> 00:17:17.069 be tob growth. Again, that's shield APP DOT AI, and the 230 00:17:17.150 --> 00:17:22.950 Promo Code is be the number two, be growth. All One word for 231 00:17:22.150 --> 00:17:26.990 a twenty five percent discount. All right, let's get back into the show. 232 00:17:26.269 --> 00:17:30.339 I want to go back to the pain point, that is the separate 233 00:17:30.420 --> 00:17:36.420 dashboards between marketing and then this the separate sales dashboard, and I'd love for 234 00:17:36.539 --> 00:17:38.539 you to just say, what are those the key elm elements? If someone 235 00:17:38.619 --> 00:17:41.539 was to walk away from our conversation go I need to start a dashboard that 236 00:17:41.660 --> 00:17:45.049 has it all together, like this is going to be something we're going to 237 00:17:45.089 --> 00:17:48.009 walk away with. It's going to build it out that we can reference, 238 00:17:48.130 --> 00:17:52.329 sales can reference and marketing can reference. What are some of those key elements 239 00:17:52.329 --> 00:17:56.289 we need to be aware of? Yes, so agreeing first and foremost on 240 00:17:56.849 --> 00:18:00.960 kind of lead scoring, right, so what constitutes a qualified lead and what 241 00:18:02.079 --> 00:18:07.359 doesn't, and being willing to revisit that model on a regular basis as you 242 00:18:07.480 --> 00:18:11.519 refine it together, because it does change based on, you know, your 243 00:18:11.559 --> 00:18:15.150 marketing tactics, based on where we are in the world, you know, 244 00:18:15.269 --> 00:18:18.349 based on you know, your opportunity to sort of find new business over time, 245 00:18:18.430 --> 00:18:23.309 depending on the size and, I guess, sophistication of Your Business. 246 00:18:23.589 --> 00:18:26.940 You know, learning your market, you know. So making sure you're open 247 00:18:26.980 --> 00:18:32.619 to adjusting that lead scoring model. The second is attribution, right. I 248 00:18:32.819 --> 00:18:37.380 talked a little bit about that to say, where do you attribute a marketing 249 00:18:37.500 --> 00:18:41.569 touch in the process? Forster put out some interesting stats, but you know 250 00:18:41.730 --> 00:18:45.769 it's there's there's certainly a lot out there that says that there's more touch points 251 00:18:45.809 --> 00:18:52.529 now than ever before in the customer journey. Right. So when you think 252 00:18:52.529 --> 00:18:56.480 about how many touches, you know it could be up to twenty touches or 253 00:18:56.640 --> 00:19:03.039 more. Marketing touches them in, you know, an email or display ad. 254 00:19:03.440 --> 00:19:06.759 You know, there's there's those kind of daytoday people are going to google. 255 00:19:06.839 --> 00:19:10.789 They're coming back, you know, maybe to a paid google search. 256 00:19:10.869 --> 00:19:12.150 You know, they might have found you on organic and they're coming back and 257 00:19:12.190 --> 00:19:15.549 paid because they remember your name. There's the sales touches, you know, 258 00:19:15.630 --> 00:19:19.869 there's the sales email, not in addition to the marketing email. So there's 259 00:19:19.869 --> 00:19:23.740 all of these conversations that are happening that are part of the journey and so 260 00:19:25.420 --> 00:19:30.059 aligning together. On the attribution, it could be a percentage at first, 261 00:19:30.059 --> 00:19:33.420 it could be, you know, different ways of looking at the attribution models, 262 00:19:33.460 --> 00:19:37.569 but saying, how much credit does a form fiel get based on the 263 00:19:37.690 --> 00:19:42.769 source, but also the overall touches that you can measure and there's ways you 264 00:19:42.849 --> 00:19:48.970 can measure that you know today better than ever before to understand what makes sense 265 00:19:48.049 --> 00:19:51.930 and and maybe how much weight you want to put toward it, as well 266 00:19:51.970 --> 00:19:56.319 as you know, agree if there's any credit given to repeat business. Like 267 00:19:56.400 --> 00:20:00.640 a marker would say, if you never would have had that customer in the 268 00:20:00.720 --> 00:20:03.279 first place, how can we only get credit for the first deal? And 269 00:20:03.359 --> 00:20:08.109 sales would say I sold them every other deal and they we built a relationship 270 00:20:08.750 --> 00:20:12.390 and the customer experience. People might say they never would have had that second 271 00:20:12.430 --> 00:20:15.950 deal if I had up, hadn't had done a good job of executing on 272 00:20:17.069 --> 00:20:22.779 the campaign and being there. They wrap, you know. So really aligning 273 00:20:22.859 --> 00:20:26.740 on attribution is important. Obviously getting the best cleanest data that you can. 274 00:20:27.420 --> 00:20:32.940 You know, into how you might a pen and a rich your your opt 275 00:20:33.059 --> 00:20:36.650 in forms and how what you might know about somebody based on being able to 276 00:20:36.730 --> 00:20:41.049 add better industry information, better title information, you know, understanding your buyer 277 00:20:41.130 --> 00:20:45.210 group, because there's more than one person buying, so they're making the decision. 278 00:20:45.250 --> 00:20:48.089 I would say. So you might have one person who the decision maker, 279 00:20:48.529 --> 00:20:52.279 but there are multiple people in the buyer group. So marketing has to 280 00:20:52.359 --> 00:20:56.200 get in front of all of them and sales might need to have conversations with 281 00:20:56.279 --> 00:21:00.319 the influencers as well as the ultimate buyer and so agreeing together on you know 282 00:21:00.680 --> 00:21:04.829 what that means in terms of the influencer buyer group? Do you have that 283 00:21:06.509 --> 00:21:10.789 somehow on the dashboard when you're saying you're understanding the buying group? How does 284 00:21:10.869 --> 00:21:14.509 that sort of filter into when you're thinking of that dashboard? Yeah, it's 285 00:21:14.509 --> 00:21:19.019 a great question. So we know the conversations that are happening with influencers versus 286 00:21:19.059 --> 00:21:26.180 the ultimate decision maker and most people have in their crm will have information like 287 00:21:26.259 --> 00:21:29.900 that that they can tag and set up. So you know that it's a 288 00:21:30.019 --> 00:21:34.289 bigger buyer group and and you know small companies might have this even and larger 289 00:21:34.410 --> 00:21:37.849 companies are just maybe different sizes, are different types of titles involved in the 290 00:21:37.890 --> 00:21:44.609 buyer decision, as well as obviously the budget size. But knowing whether it's 291 00:21:44.609 --> 00:21:48.079 an influencer meeting, our dashboards will say, you know, influence our meeting. 292 00:21:48.680 --> 00:21:53.640 It'll kind of qualify in the sales dashboard around the funnel and the the 293 00:21:53.759 --> 00:22:00.599 sales process will kind kind of a conversation was whether it was a slam dunk 294 00:22:00.920 --> 00:22:06.509 type of conversation, whether it was Luke Rom kind of medium conversation in terms 295 00:22:06.509 --> 00:22:10.390 of how likely it would is to close. You know. So there's different 296 00:22:10.390 --> 00:22:14.269 ways that bill. You know, the dashboard will kind of say like how 297 00:22:14.390 --> 00:22:17.859 likely is this to turn into revenue and x amount of days? You also 298 00:22:17.940 --> 00:22:22.099 learn your sale cycle, so you would know, you know, our average 299 00:22:22.180 --> 00:22:26.619 deal closes in x amount of days or months. The average deal size. 300 00:22:26.740 --> 00:22:32.089 You want you look at all those things together because it's also important and you 301 00:22:32.130 --> 00:22:37.609 also want to know is there a difference? Are This sales generated leads higher 302 00:22:37.690 --> 00:22:41.930 value than the marketing generated leads? Why is that? You know, if 303 00:22:41.970 --> 00:22:45.039 you're if someone's coming in through an organic lead, as it is a different 304 00:22:45.160 --> 00:22:49.279 than a lead that sales has spent months trying to real you know, get 305 00:22:49.359 --> 00:22:53.759 into this one one business. So that's one other metric that you also have 306 00:22:53.839 --> 00:22:57.119 to look at as a team to say why is that? Because in some 307 00:22:57.279 --> 00:23:03.029 cases it's a little skewed based on the types of clients that maybe your strategic 308 00:23:03.630 --> 00:23:07.869 sales teams are going after, you know, larger technology companies, you know. 309 00:23:07.990 --> 00:23:11.069 So you have to break that into you know, maybe traunch has to 310 00:23:11.150 --> 00:23:15.339 say, is it the same view of the average deal size that you're looking 311 00:23:15.339 --> 00:23:17.940 at? You know, do you need to break out kind of your top 312 00:23:18.140 --> 00:23:22.980 tier targets versus kind of your core commercial businesses or even by industry? So 313 00:23:23.059 --> 00:23:26.410 there's a lot of ways to look at the data and then a lot of 314 00:23:26.490 --> 00:23:30.529 businesses, and we certainly did this a constant contact. You also want to 315 00:23:30.529 --> 00:23:33.730 be looking at your attrition rates, you know, like what's happening with churn, 316 00:23:34.450 --> 00:23:37.329 you know, and also for, you know, different cohorts. So 317 00:23:37.650 --> 00:23:42.920 over time companies can get better at understanding you know, is there a difference 318 00:23:44.119 --> 00:23:48.319 in leads that came on board with, you know, a messaging and a 319 00:23:48.319 --> 00:23:52.279 value proposition, of brand position six months ago versus now? Is there a 320 00:23:52.359 --> 00:23:57.029 difference in their churn rates? Is there a difference in their average deal size 321 00:23:57.029 --> 00:24:00.349 and lifetime value? So there's depending on the type of business you are, 322 00:24:00.349 --> 00:24:04.910 there's a lot of metrics that can help you understand how you're messaging, how 323 00:24:06.029 --> 00:24:11.380 your overall go to market strategies impacting your brain you know, impacting your outcomes, 324 00:24:11.420 --> 00:24:15.779 and make changes based on that going forward to make sure that you're obviously 325 00:24:17.140 --> 00:24:19.660 improving your churn rates. Let me ask you a follow up question on that. 326 00:24:21.140 --> 00:24:26.490 How often do you go over attribution rates and churn with your your team 327 00:24:26.089 --> 00:24:30.609 as a whole. Well, the sales and marketing team meets on a regular 328 00:24:30.609 --> 00:24:33.170 basis every other week. We're looking at all of the data. Yeah, 329 00:24:33.289 --> 00:24:37.720 so that's a number you would go out over that often not the churn rates 330 00:24:37.759 --> 00:24:41.680 as much with for our business, but we differ. We definitely talk about 331 00:24:41.680 --> 00:24:47.359 overall health and KPI is on a on a monthly basis, but a Sass 332 00:24:47.480 --> 00:24:51.720 business would look at them weekly, if not daily, depending on what's happening 333 00:24:51.720 --> 00:24:56.190 in the business. And you have, you know, when you're assass business 334 00:24:56.509 --> 00:25:00.509 like a constant contact where everything is kind of an online sign up and there's 335 00:25:00.509 --> 00:25:06.990 less of an outbound sales model, you're definitely much more aware of exactly how 336 00:25:06.990 --> 00:25:10.259 many leads are coming in and how many need to convert on a daily basis. 337 00:25:11.140 --> 00:25:14.539 As you look at a be tob business like ours that has both a 338 00:25:14.900 --> 00:25:19.380 subscription and, you know it, ongoing services business model, kind of higher 339 00:25:19.380 --> 00:25:25.970 value be tob it's, you know, really about kind of aligning on those 340 00:25:26.089 --> 00:25:32.369 turn metrics as well as what's creating that ongoing over and over again, retention 341 00:25:32.490 --> 00:25:36.039 and why people are staying with us are as just you know, as important, 342 00:25:36.039 --> 00:25:38.640 as you know why some of the ones might be leaving, but it 343 00:25:38.799 --> 00:25:42.559 helps you change your ICP. That's the reason why sales and marketing are going 344 00:25:42.640 --> 00:25:48.640 through that conversation. Is If there is some churn happening that you didn't expect, 345 00:25:48.480 --> 00:25:52.309 you know, maybe the ideal customer profile isn't what we thought, maybe 346 00:25:52.349 --> 00:25:59.349 there's a persauna that, and I'm somewhat talking illustrative here, but if it's 347 00:25:59.390 --> 00:26:03.710 somebody who's a lower deal size, they might be have a greater propensity to 348 00:26:03.789 --> 00:26:06.220 churn. That doesn't mean it's bad as part of your business, but you 349 00:26:06.339 --> 00:26:08.940 just need to know that because it will help you, yeah, in terms 350 00:26:08.980 --> 00:26:15.420 of how you might be targeting and how you might kind of prioritize those deals 351 00:26:15.539 --> 00:26:18.130 versus some that are larger, as well as just understanding your overall scale of 352 00:26:18.329 --> 00:26:22.690 what how you need to fill the funnel at every level, because it does 353 00:26:22.769 --> 00:26:27.970 help. HMM. So there's some really great key elements here that you've outlined. 354 00:26:29.130 --> 00:26:33.680 So lead scoring, attribution, clean data collection, understanding the buying group 355 00:26:33.720 --> 00:26:37.160 right, that the dynamics their deal scoring, and then we want to be 356 00:26:37.200 --> 00:26:44.880 aware of churn. I wonder more of a question from like what kind of 357 00:26:44.920 --> 00:26:48.509 pushback do you get when you move to this sort of dashboard of truth, 358 00:26:48.390 --> 00:26:52.150 like for your marketing team or your sales team, because I would assume this 359 00:26:52.309 --> 00:26:56.630 is a little bit of movement for both right, because you're meeting in the 360 00:26:56.670 --> 00:27:00.190 middle. But what do you experience when you implement something like this? Yeah, 361 00:27:00.190 --> 00:27:03.539 you know what I mean. On the one hand, the numbers don't 362 00:27:03.579 --> 00:27:08.579 lie. On the one hand the numbers are aligned with what you set up 363 00:27:08.619 --> 00:27:12.299 as the rules. So you do have to keep looking at the numbers and 364 00:27:12.380 --> 00:27:18.130 challenging that exactly what they're telling you and and make sure that you're not just 365 00:27:18.369 --> 00:27:22.490 looking backwards at how you set up the ideal customer profile and how you set 366 00:27:22.529 --> 00:27:26.450 up your scoring models. But continue to refine them. You know, as 367 00:27:26.490 --> 00:27:30.200 data gets better around, you know what we're learning about customers and they're in 368 00:27:30.319 --> 00:27:33.920 market behavior, what we know about them in terms of their you know, 369 00:27:34.000 --> 00:27:38.880 parmographics, demographics of the customer and the contact data gets better. As we, 370 00:27:40.319 --> 00:27:42.319 you know, keep improving that information, we should be able to get 371 00:27:42.400 --> 00:27:48.750 better and better at aligning whether someone should score a higher score versus a lower 372 00:27:48.789 --> 00:27:52.910 score in the spectrum. But, as I said, unless you're having that 373 00:27:52.069 --> 00:27:56.789 next conversation. In our model with sales, you know, you don't know 374 00:27:56.950 --> 00:28:02.980 that they're necessarily not able to be an even more important customer in terms of 375 00:28:03.019 --> 00:28:07.539 revenue spend. You know, then then somebody who scored a five. You 376 00:28:07.619 --> 00:28:10.779 know, it's really you have to have yourself to have the love of conversation 377 00:28:11.500 --> 00:28:15.130 and our model, if you're in kind of an SMB SASS model, you 378 00:28:15.250 --> 00:28:19.410 may not have that conversation. So you better have the data because someone might 379 00:28:19.450 --> 00:28:25.490 be just choosing to be a you know, an immediate trial and by the 380 00:28:25.569 --> 00:28:29.839 product, and that's where your turn data comes in to play a lot more, 381 00:28:29.960 --> 00:28:33.079 because if they're not going to start, if you're not engaging them through 382 00:28:33.680 --> 00:28:37.640 email in an in product and you don't make sure that they take those important 383 00:28:37.640 --> 00:28:42.150 steps to become an avid user of the product, they could churn because you're 384 00:28:42.150 --> 00:28:45.150 not taking all those right steps or you're maybe not getting the right person in 385 00:28:45.230 --> 00:28:48.630 the funnel. So it really depends on the type of B Tob business that 386 00:28:48.710 --> 00:28:52.109 you're in, for sure, but the data can help. But at the 387 00:28:52.150 --> 00:28:56.779 end of the day it can't only be about the data. Yep, yeah, 388 00:28:56.819 --> 00:29:00.180 it's got to be good mix. I really appreciate your insights. This 389 00:29:00.259 --> 00:29:06.819 is a really insightful conversation with Monica Sullivan. Give us a just a quick 390 00:29:07.140 --> 00:29:10.089 summary here as we start to close, of what you guys do at demand 391 00:29:10.130 --> 00:29:11.529 science. Would love to hear a little bit about Your Business and what you 392 00:29:11.569 --> 00:29:15.730 guys are up to. Yeah, now it's it's an exciting ride so far 393 00:29:17.009 --> 00:29:19.769 and a journey ahead. You know, we've been growing like crazy. We 394 00:29:21.130 --> 00:29:25.559 have over one two hundred customers and we at our core, or are be 395 00:29:25.680 --> 00:29:30.759 to be data company. But ultimately we help our customers identify their best audience, 396 00:29:30.279 --> 00:29:36.359 we help them activate, primarily opt in permission leads and get them in 397 00:29:36.440 --> 00:29:40.230 their funnel and we help them convert, you know, certainly with accurate data 398 00:29:40.230 --> 00:29:45.029 that helps them understand how likely they are to convert. Things like I've mentioned 399 00:29:45.230 --> 00:29:49.309 confirmed connect and understanding where they've engaged with phone calls and emails can help, 400 00:29:49.349 --> 00:29:53.460 as well as other buyer signals, you know, and ultimately help them grow. 401 00:29:53.579 --> 00:29:57.700 You know, we're an advocate to the marketer and the salesperson. There's 402 00:29:57.740 --> 00:30:02.579 a lot there are a lot of players in the space that aren't delivering necessarily 403 00:30:02.619 --> 00:30:07.250 the same qualified lead that we are. Just given that we work harder to 404 00:30:07.329 --> 00:30:11.769 help filter out and make sure that the right title, the right ideal customer 405 00:30:11.769 --> 00:30:15.529 profiles being met and what we delivered to them, and it's a fun time. 406 00:30:15.809 --> 00:30:18.809 You know, you've probably seen a lot about the category of B to 407 00:30:18.849 --> 00:30:22.559 be data, and there's certainly a still a lot of room to do a 408 00:30:22.720 --> 00:30:26.720 better job, for the sales and marketing teams to come together with great data 409 00:30:26.759 --> 00:30:30.079 to really get aligned. You know, I'm excited about being able to deliver 410 00:30:30.200 --> 00:30:33.480 that, as we all are. Yeah, I'm excited for the future. 411 00:30:33.599 --> 00:30:37.990 I think dad is in an interesting place. Marketing and sales alignment is an 412 00:30:37.029 --> 00:30:41.509 interesting place and I'm glad there are more and more conversations like this happening because 413 00:30:41.549 --> 00:30:45.430 hopefully it will just spur so much more growth for the companies that are listening 414 00:30:45.470 --> 00:30:48.950 to this and for our organizations. Right, ultimately, that's the goal, 415 00:30:49.019 --> 00:30:53.059 is growth. So, Monica, thank you for joining us on this episode. 416 00:30:53.099 --> 00:30:56.420 For those that want to stay connected with you, how can they do 417 00:30:56.660 --> 00:31:00.539 that? Yeah, so for sure, Monica. Doubt Sullivan, a demand 418 00:31:00.579 --> 00:31:06.369 sidencecom and my linkedin always there, so happy to help engage in network. 419 00:31:06.690 --> 00:31:10.210 It's been a great experience. I'd loved being here with you, BEN J 420 00:31:10.450 --> 00:31:15.410 so looking forward to coming back to talk about BEB growth topics. That's right. 421 00:31:15.930 --> 00:31:18.519 Thank you so much for joining us and yeah, you can connect with 422 00:31:18.599 --> 00:31:22.720 me as well on Linkedin. Just Search Benjie Block. We're always having these 423 00:31:22.759 --> 00:31:26.160 types of conversations here on B tob growth, so if you haven't subscribed to 424 00:31:26.240 --> 00:31:29.559 the show, be sure to do that and I will be back very soon 425 00:31:29.799 --> 00:31:36.829 with another episode. Keep doing work that matters. Is the decisionmaker for your 426 00:31:36.869 --> 00:31:40.950 product or service a BEDB MARKETER? Are you looking to reach those buyers through 427 00:31:40.990 --> 00:31:45.750 the medium of podcasting? Consider becoming a cohost of BB growth. This show 428 00:31:45.910 --> 00:31:51.140 is consistently ranked as a top one hundred podcast in the marketing category of Apple 429 00:31:51.259 --> 00:31:56.099 Podcasts, and the show gets more than a hundred and thirtyzero downloads each month. 430 00:31:56.619 --> 00:32:00.059 We've already done the work of building the audience, so you can focus 431 00:32:00.140 --> 00:32:05.450 on delivering incredible content to our listeners. If you're interested, email logan at 432 00:32:05.490 --> 00:32:06.730 sweetfish Mediacom.