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Interview

How Radius Built a 100-Customer B2B Enterprise CDP with North of 100% Net Revenue Retention (Interview with CEO Joel Carusone)

Interviewee
Joel CarusoneCEO
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Watch the full interview

Company Metrics at Interview Time

Customers

100

Total Funding Raised

$100M

Annual Net Revenue Retention

North of 100%

Team Size

75

Historical Snapshot

These numbers were reported by Joel Carusone during the interview and are a historical snapshot, not current figures. See Radius’s current numbers.

Key Takeaways

  • 01Radius had 100 customers at the time of the interview, and 80% of its revenue came from the top 20.
  • 02Net revenue retention was north of 100%; asked whether it sat between 100% and 150%, Joel said, "That would be close."
  • 03The company had raised approximately $100M in total capital, the majority of which was equity.
  • 04Most large strategic deals were multi-year contracts.
  • 05The team totaled about 75 employees, including about 20 in sales and 23 in engineering; engineering and product were in San Francisco, and salespeople were based in the regions they covered.
  • 06Radius's primary growth tactic was field events, executive dinners, and referrals from former customer employees.
  • 07Joel joined Radius about three years before the interview on the product side, serving as VP of Platform and then CTO before becoming CEO.
  • 08The company targeted 50 to 90% year-over-year growth going forward.
  • 09Radius expected to be cash flow positive by the end of the following year.

Company Metrics at Time of Interview

MetricValueSource
Customers100Interview
Total Funding Raised$100MInterview
Annual Net Revenue RetentionNorth of 100%Interview
Team Size75Interview
Sales Team20Interview
Engineers23Interview
Avg Contract Value (Mid-Market Tier)$50K to $60K per yearInterview
Revenue Concentration80% from top 20 customersInterview
Proprietary B2B Dataset (US Businesses)About 18M businessesInterview
Proprietary B2B Dataset (US Contacts)25M to 30M contactsInterview
Standard Platform Throughput15 to 20 requests per secondInterview

Growth Breakdown

Customers and Revenue Concentration

Radius had 100 customers at the time of the interview. About 80% of revenue came from the top 20 logos, reflecting a high-ACV, high-touch model built on large strategic deals that were multi-year in most cases.

Pricing Tiers

Radius sold three tiers, with data bundled into the platform at no extra charge. The mid-market tier was typically $50K to $60K a year, the enterprise tier ran $100K to $200K, and some accounts exceeded $2M in annual contract value.

Team and Engineering

The company employed 75 people in total, with 20 in sales covering multiple regional territories and 23 engineers split across data engineering, data science, and platform development. The engineering and product teams were based in San Francisco.

Funding and Path to Profitability

Radius had raised about $100M in total, the vast majority as equity and some as debt. Joel said that if the company could avoid raising again, it expected to be cash flow positive at the end of the following year.

Growth Strategy

Field Events and Executive Dinners

Joel credited field events and executive dinners as the primary driver of new customer acquisition. These high-touch channels suited a business whose revenue was concentrated in large strategic accounts.

Referrals from Former Customer Employees

A meaningful portion of new business came from individuals who had used Radius at a previous employer and brought the platform to their new organization. This referral loop reinforced the value of strong customer relationships.

Consortium Data Model as a Competitive Moat

Radius built a crowdsourced data validation and suppression layer by leveraging exhaust data generated by its enterprise customers, such as Comcast, Sam's Club and First Data. This network contribution model created a data asset that grew more valuable as the customer base expanded.

Multi-Year Contracts and Expansion Revenue

Large strategic deals were multi-year in most cases, and pricing axes based on records under management, number of data sources, and API request volume gave the sales team clear levers for expansion. Net revenue retention north of 100% reflected consistent upsell within the existing base.

Disciplined Cost Management Over Aggressive Fundraising

Joel was running a top-to-bottom review of costs after a stretch of fast hiring to push out new product. He wanted Radius to grow at a fast but smart rate, without growing the company to 150 people to reach $100M in revenue, and said that if it raised again to accelerate growth, it would not be a huge amount.

Best Quotes

“For sure. Yeah. I mean, I think CDP has been around for quite a while now. It's more synonymous with the the business consumer side. About a year or so ago, I mean, Radius has been in the, I would say the B2B customer data space for a number of years before CDP has kind of got hot on the B2B side.”
“So we do sell into three different tiers. So we've got a mid market offering. It's typically in the, you know, the 50 to 60,000 range.”
“Yeah. I would say the bulk... I think 80% of our revenue comes from our top 20 customers. So it's fairly well concentrated. They're large strategic deals, multiyear in most cases.”
“The team, the company is around 75 employees right now. Sales is around 20. ... And that's broken down. We've got a sales leader. There's three RVPs that cover different territories.”
“So bulk of our business is coming from field events today. So we spend... We do a decent amount on the marketing side. It's not huge, but field events, exec dinners, we get a lot of referrals, relationships from folks that have worked for one of our customers, and then they change into a new role at some another business, and then they come back to us to try to sign up.”
“We are expected to be cash flow positive at the end of next year.”
“Somewhere between, I would say fifty and ninety at this point.”
“Take more chances. I think I followed the more conservative path throughout my career. I think over the last couple of years, I've been more aggressive in terms of some of the opportunities that have presented themselves. I wish I had done that ten, you know, ten years ago.”

What Happened Next

At the time of this interview, Radius was a 75-person B2B enterprise customer data platform with 100 customers and approximately $100M in total funding raised. Joel Carusone had recently transitioned into the CEO role and was focused on reaching cash flow positive without additional capital. This page is a point-in-time snapshot of the company as described during the recording. Visit the Radius company profile for current information.

View Radius’s current profile and metrics

Full Transcript

Introduction and What Is a B2B Enterprise CDP

Nathan Latka

00:01Hello everyone. My guest today is Joel Carusone. He's the CEO of a company called Radius, the first B2B enterprise customer data platform. Joel holds a wealth of knowledge on and a passion for the CDP space and was one of the original architects of Radius Unify, the first ever fully flexible B2B CDP bringing the new solution to market. Joel, are you ready to take us to the top?

Joel Carusone

00:20I'm ready.

Nathan Latka

00:21All right. So first off, help us be really prescriptive here and kind of the definition of how you define B2B enterprise customer data platform. What's that mean?

How Radius Defines Its CDP Offering

Joel Carusone

00:30For sure. Yeah. I mean, I think CDP has been around for quite a while now. It's more synonymous with the the business consumer side. About a year or so ago, I mean, Radius has been in the, I would say the B2B customer data space for a number of years before CDP has kind of got hot on the B2B side. At the end of the day, what we're doing is we're taking through either native integrations or through

00:52an open API that we have available, ingesting, merging, matching, normalizing customer data, whether it's from first party systems like CRM or marketing automation, or third party systems that they're buying data from, say, Dun & Bradstreet or Infogroup or some the other major players, and basically leveraging our infrastructure to create that single source of truth or that single customer view with the idea that you can then pump that that that kind of single source of truth

01:20out across the organization. So it's not just for marketing, but it'd be for marketing and sales and ops and even in IT for data, you know, analysis or or data science.

Nathan Latka

01:31So help me understand. Single source of truth is an interesting concept in the data space. And the reason I say that is because when I talk to so many these providers ranging from small sub 10,000,000 ARR players all the way up to $100,000,000 to $200,000,000 range. It's very incestual, of everyone buys everybody else's data. And it's hard to understand who truly has a moat around the data set. So so when you're capturing this data, is it unique

01:53data that nobody else can get ahold of?

Data Moat: Proprietary Dataset and Consortium Model

Joel Carusone

01:56Yes. Our model is... It's based on two different kind of... Two different approaches. So one is we do have our own core data assets. So Radius has its own proprietary b to b dataset. Domestic only today, we cover approximately 18,000,000 business in The US and somewhere in the neighborhood of 25 to 30,000,000 contacts. We've got partnerships. We just announced a big partnership. We're doing some co selling with the folks over at Dun & Bradstreet, so the

02:21D&B global file is part of our ecosystem as well. But the nice thing about our model is that it is somewhat of a consortium. So clients that are working with us, the, you know, enterprise clients, we do have some ability to leverage the data that their sales and marketing teams are generating as part of their to do data validation, standardization, even in even in some cases suppression. So it is a crowdsourced type model. We're

02:49not doing enrichment on it, but it's more from validation and norm... And suppression. But it's leveraging, you know, our customer base, Comcast, Sam's Club, First Data, you know, large large enterprise clients with large sales teams and large marketing teams. So they're generating a lot of exhaust data as part of just normal business processes. So that's our moat, at least the way that we've defined it today is that that network contribution side of the business.

Nathan Latka

03:13So Joel, how might how might exhaust data or we'll call it sawdust at the sawmill from First Data influence the value that customers like Infusionsoft get from Radius?

How Exhaust Data Creates Value for Customers

Joel Carusone

03:24Yeah. For sure. So I think the the... Usually the use case that I go to pretty quickly is, let's assume that you've got, you know, an Eloqua or a Marketo instance that's got 10,000,000 contact records in it. Now you can leverage... You know, there's a lot of email validation providers, but there's a subset of emails that are just not verifiable. Right? The the email admins go out of their way to make it very difficult to to

03:44be able to test those. But you can imagine when you have a large number of customers that are all marketing to, you know, different populations, you're going to get some overlap. So what we're seeing is, you know, an email campaign that may go out by Comcast. There's gonna be a population of those that are open. There's gonna be a population that bounce. Within thirty minutes of that bounce happening, it's available, yeah, for our purview, and then

04:06we can go look across the customer base and say, who else has this email address? It's bounced. Let's go and actually scrub it.

Nathan Latka

04:12Interesting. So

Joel Carusone

04:12you can leverage that type of exhaust. And it works not just for emails, but for phones. We help on the ranking logic because you've got, you know, n number of sources that are available within our ecosystem, as well as what the client's bringing on board, you know, being able to choose the right revenue, choose the right head count for that client, that exhaust data becomes extremely valuable. If their salesperson is putting in the head count of

04:35the revenue, you know, that you have potentially can make some more assumptions on the machine learning side that that number may be better accuracy than something that you got from six months ago.

Nathan Latka

04:44It looks like you guys are serving a pretty wide cohort of customers, Joel. But if I forced you kind of into an average just so we can focus the discussion, what would you say the average company would pay per year for this kind of dataset?

Pricing Tiers and Average Contract Values

Joel Carusone

04:55So we do sell into three different tiers. So we've got a mid market offering. It's typically in the, you know, the 50 to 60,000 range.

Nathan Latka

05:03Annually?

Joel Carusone

05:04Annually. That's correct. Yeah. So SaaS products, we don't charge for data. So when you purchase our platform as part of that, get unlimited access to our standard data offering. So that 17,000,000 business dataset is just... It's kind of a free a freebie that we give away as part of the relationship. The second group are gonna be the the enterprise clients, some... Somebody within say 750 employees or less. That one, you know, get into the, you know,

05:30the 100 to 200,000 range. And then we have some that are, you know, that exceed the $2,000,000 ACV.

Nathan Latka

05:36Yep. That's great. And is there any cohort that you have concentrations in or it's really fairly equal?

Revenue Concentration and Contract Structure

Joel Carusone

05:42Yeah. I would say the bulk... I think 80% of our revenue comes from our top 20 customers. So it's fairly well concentrated. They're large strategic deals, multiyear in most cases. And then we have a, you know, a decent volume in that mid market mid market 500 to seven fifty range.

Nathan Latka

05:59Yep. Fair enough. Put this all on a timeline for us. When did you guys launch the company and help me understand your involvement? Were you one of the early founders or you were kind of leading product at the beginning and now you're CEO? How's that all work?

Joel's Background and Path to CEO

Joel Carusone

06:09Yeah. It's it's been an interesting journey. I joined the company about three years ago on the product side. My background was in more on the on the data space. So I came out of healthcare data, enterprise data management for one of the Boston hospitals. So I was actually more interested in some of the data challenges as opposed to just like the marketing and sales aspect of what we do at Radius. So I joined the company three

06:30years ago on the product side, was VP of platform for a number of years, and then moved into a CTO role almost a year ago now. And then over the last year or so, Darien and I, who founded the company, have been talking about, you know, what it would potentially look like for his transition. He was looking to move more out of the operational side of the business. He's now moved into chairman of the board as

06:54of the last couple of weeks when I transitioned into the CEO role.

Nathan Latka

06:57Mhmm. Okay. And company was founded in 2012?

Joel Carusone

07:00Company was founded in 2012. Yeah. The company was... There's two. There was an initial company that was more of a data provider called Fwix, and then that was... That... After one of the, I think, the series a, they they rebranded as Radius, and that's kind of the path that would be nonsense.

Total Funding and Capital Structure

Nathan Latka

07:14And total capital into the company today, how much have you guys raised?

Joel Carusone

07:16About a 100,000,000.

Nathan Latka

07:17K. A 100,000,000. All equity or is that some of that debt?

Joel Carusone

07:21So some of it was debt, but vast majority of it was equity.

Nathan Latka

07:24Okay. Were you there when the decision was made to use some debt?

Joel Carusone

07:28I was not actually. So that happened

07:32trying to think. I was at the company, but at that point, wasn't involved with any of the fundraising.

Nathan Latka

07:36Got it. And I was gonna ask strategically why that didn't or didn't make sense, but we'll skip that for now and focus on things that you might be closer to. So, okay, good. So you joined about, call it, three years ago. And what have you guys scaled to today in terms of total customers using the platform?

Joel Carusone

07:50So we're on a 100 customers today. As I said, the bulk of the revenue comes from the top 20 logos.

Nathan Latka

07:56Yep. Yeah. So a 100 customers. Yes. So this is very much kind of, obviously, you know, high touch, high ARPU kind of accounts. What's your team breakdown today? And what does the sales organization look like?

Team Size, Sales Org, and Engineering

Joel Carusone

08:06Yeah. The team, the company is around 75 employees right now. Sales is around 20.

Nathan Latka

08:06Yep.

Joel Carusone

08:06And that's broken down. We've got a sales leader. There's three RVPs that cover different territories. They've each got, you know, a handful of people. That's just a total sword size around 20. Engineering is 23 today, combination of folks that work on either data engineering, data science. And then we have our platform team that are writing the APIs and some of the

08:31the micro services as part of that.

Nathan Latka

08:33And where's everyone based? El San Fran?

Joel Carusone

08:36Yeah. As all of engineering product is based out of San Francisco. Sales is... We've got some folks in the West Coast, but majority of them are just based on where they're... What the regions that they're covering.

Nathan Latka

08:36Okay.

Joel Carusone

08:36So some in the East Coast, New York, New Jersey, and some in the Midwest as well.

Nathan Latka

08:49Yeah. That's great. Help me understand. And again, I'm sure this is different across each of your cohorts. But if we just look at a macro level net revenue retention each year, when you factor in that gross revenue churn plus add back expansion, I assume these are probably north of a 100%. How far north of a 100?

Net Revenue Retention and Pricing Axes

Joel Carusone

09:08So in term... Without getting into specifics, north of 100.

Nathan Latka

09:13Okay. Yeah. Can we put a can we put a cap on and say between a hundred and one fifty? Is that fair?

Joel Carusone

09:19That would be close.

Nathan Latka

09:21Okay. Got it.

Joel Carusone

09:21Fair enough.

Nathan Latka

09:21Got

09:23it. Okay, good. Well, we'll say north of 150. And I won't push you any. I won't push you any harder there. Sorry. Sorry about that. Where their valuable lesson here though is how you think about driving expansion revenue. Typically, there's very well defined pricing axes and that gives your sales team a lot of leverage. What are those axes for you?

Joel Carusone

09:41So I think there's a few things that come into play on our side. So one is obviously the the size of the brand. Large logos, we typically... There is a value based pricing as part of it.

Nathan Latka

09:50Also Size by what though? Team team size?

Joel Carusone

09:53So both on the total headcount size, but more more typically is based on the number of records that we're gonna be... Records under management. How many sources is it? Are they large sources, small sources? We look in aggregate based on the type of source. A, it influences what our infrastructure costs are to just provide the CDP offering. And at the same time, also... There's the validation components and things that have... You know, there's there's cost on

10:21our sides, cost of sales that get incorporated. So we look at total number of records under management, number of discrete sources just holistically, is it Salesforce plus marketing automation plus ten third party or what. Then the other piece is going to be how much of it is going to be professional services. So we've got some API offerings where we're helping the clients do some onboarding. Comcast is a great example. Where we're running some of the stuff

10:48on their behalf, the large datasets that they may be getting from third party providers, just faster for us to do it internally. And then how much of it are they gonna be doing themselves. So there's an API volume based metric that goes in as well.

Nathan Latka

11:00Interesting. Did you... Were those always really clear? Or how did how did you kind of evolve your pricing to get to those?

Joel Carusone

11:08So the Unify offering is fairly new.

Nathan Latka

11:11The what offering?

Joel Carusone

11:12The Unify offering, the CDP offering from a platform perspective. We we released it. The first client got on about a year ago. We were in limited release for six to nine months and we actually GA'd it right around Dreamforce this year. So it's only been fully GA'd for a few months now. In terms of the banding, we experimented. Obviously, we initially started with how many sources are you going to onboard to the platform that

11:39works okay if the sources are all around the same size, but we'd had somewhere maybe 20,000,000 records in CRM and 5,000 records in a third party. So we started to move away from having just the sheer number of sources have as much influence on the pricing and more towards how large and what are the total number of records in aggregate. The velocity is another big one. So the enterprise part of the enterprise B2B CDP is really

12:04important here. The scale and the volume of records that were

Nathan Latka

12:04What do you mean?

12:08Sorry. What do mean velocity?

12:09That's number of number of records processed per day?

Joel Carusone

12:11Per second is where

Nathan Latka

12:11Per second. Okay.

Joel Carusone

12:11Yeah. So we've got some customers that are doing, you know, upwards of 200,000,000 records over the course of say four or five days. So we're dealing with large large volumes of transactions infrastructure wise. And again, we look at what the cost to serve is. That is the single most expensive thing for us to be able to scale, is how many requests per second do we need to be able to

12:35index into our platform. So we have a standard offering which includes somewhere around 15 to 20 requests per second, And then it obviously scales up based on, you know, the size of the client and what the velocity that they wanna send those records out.

Nathan Latka

12:48Last few questions here just because we're out of time. How aggressive are you being in CAC? And maybe you said specifically, how many dollars are you spending to get a new dollar of ARR today?

Customer Acquisition: CAC and Growth Tactics

Joel Carusone

12:58So similar thing without getting into too many specifics. So bulk of our business is coming from field events today. So we spend... We do a decent amount on the marketing side. It's not huge, but field events, exec dinners, we get a lot of referrals, relationships from folks that have worked for one of our customers, and then they change into a new role at some another business, and then they come back to us to try to sign up.

13:23So it's been manageable right now.

Payback Period and Margin Profile

Nathan Latka

13:26To just avoid the CAC number since you don't go into that, can you... I just wanna get a sense of again, how aggressive you're being? Can you talk to me maybe in terms of payback period? I mean, you happy with the twelve month? Are you being more aggressive at eighteen or twenty?

Joel Carusone

13:36Yeah. So we definitely discount more heavily on the multi year, both from a

13:44implementation. It takes, you know, somewhere around thirty days for most clients to be able to, you know, get full... Start seeing full ROI from the system. Just... It's just how long it takes for clients to a lot of times get their sources together and ready to go.

Nathan Latka

13:56But we're Sorry, Joel, your payback period. Sorry, on your CAC.

Joel Carusone

14:00Oh, got it. I'm sorry. We make money after the first few months.

Nathan Latka

14:00Okay.

Joel Carusone

14:00Yeah, it's not too bad.

Nathan Latka

14:06I mean, that's I mean, that's actually that's a very surprise. That's very surprising to me. Most companies that have raised your level, they're pushing twelve sixteen twenty four month payback periods because they have to.

Joel Carusone

14:16Yeah, no, our margins are actually pretty decent.

Nathan Latka

14:18Okay, so you're caught maybe some six months payback, that's obviously healthy. And one of reasons I was looking forward to this interview is because it's actually rare that I see someone with a capital makeup of Radius, especially in this space. And what I mean by that specifically is you guys, you know, the founders got on the kind of the funding road early on, right, in o seven, and they did a damn good job at it and

14:35growth looks like it was there considering what you raised. But the last round, I think, was 2015 or 2016. And so you've come in and you've had to make some obviously serious changes to continue driving growth without additional capital. And so you know, thanks for being transparent there.

Path to Cash Flow Positive and Capital Discipline

Joel Carusone

14:51Yeah, for sure. I mean, I think we... It's not to say that we're not opposed to raising additional money if we need to. I think one of the things that I'm looking at here as we... As, you know, transitioning into this new role is, know, where are some optimizations that we make in terms of just straight up cost for us? We did raise a sizable amount of capital. We grew the team, you know, fairly quickly in

15:13order to be able to to push out a lot of new product. When you're going fast, you know, sometimes you may not necessarily make decisions that are quite as economically friendly. So we're we're doing a full kind of top to bottom review, making sure that we're spending our money wisely. Obviously, VC money is really nice, but it comes at a, you know, in a lot of cases, a fairly significant cost. So if we can get away

15:35with not having to fundraise again, we are expected to be cash flow positive at the end of next year.

Nathan Latka

15:35That's a great way.

Joel Carusone

15:35That point, you know, obviously fundraising would be more if we wanted to accelerate growth. But at the clip that we're on right now, I think the business feels pretty comfortable with, you know, if we raise again, it wouldn't be a huge amount.

Nathan Latka

15:54That's great. And then look, one of the big metrics in terms of like super healthy companies that have raised at your scale is when they start to really approach a one to one ratio in terms of funding raised relative to ARR. Do you have that big beautiful $100,000,000 run rate kind of in your sights you feel like, or it still feels like a stretch goal two to three years out?

Joel Carusone

16:14So two to three years is probably about right.

Nathan Latka

16:17I mean,

Joel Carusone

16:17I think we're... Yeah. That's that's probably a good estimate. We...

16:24I guess I'll answer that by saying there's decisions that we can make as a business to get there faster, and we're weighing right now whether it makes sense for us to do that. You know, we we could go down market a bit more and just push more sales volume to grow top line. The downside of that is you then have some significant costs associated with customer success, you know, in the support side of the business. So

16:48we're we're trying to grow it at a at a clip where we don't need to grow the company to a 150 people in order to get a $100,000,000. I think we can do a $100,000,000 in revenue with potentially 15, you know, plus 15 of where we are today.

Nathan Latka

17:00Yeah. That's great. You could do a 100,000,000 on a 100 employees, that's pretty good revenue per employee where an industry average is call it 187 in ARR.

Joel Carusone

17:07Exactly.

Nathan Latka

17:08Yeah, that's great. And then look, I mean, you gave us some numbers earlier in terms of scale today, 100 customers, you kind of said middle price point was, call it, $400,000 to $500,000 ACVs. I think that puts you at like 40,000,000 ish run rate today. Is that generally correct?

Joel Carusone

17:21Sure. I'm not... As I said, it's it's... We've got some large clients that pay us a lot of money, and we have a fair number of smaller clients as well. So it did... There's a a pretty wide band in terms of what the, you know, what the customer base looks like.

Growth Rate Targets Going Forward

Nathan Latka

17:36And what do you hope to grow in terms of growing year over year at slow growth, healthy growth, not crazy cash burn growth?

Joel Carusone

17:43Yeah, I think the the not crazy cash burn growth is certainly, you know, something that we're looking at. We fortunately, as a business, we've just never had trouble raising money. Darren has done an amazing job of fundraising. We've got a really strong board. We've got a really strong investor base. So it's not that they're... We... If we don't... If we wanted to go out and raise some additional capital, we we certainly could. We're trying to grow

18:04at a at a fast rate, but at a smart rate.

Nathan Latka

18:07What is that, Joel? I mean, are you talking 30% year over year, your scale or 90%?

Joel Carusone

18:12Somewhere between, I would say fifty and ninety at this point.

Famous Five Rapid-Fire Questions

Nathan Latka

18:15Yeah. So I'd say still pretty healthy growth. I mean, considering you haven't raised in a couple of years. So good stuff. Alright, let's wrap up with the famous five number one. What's your favorite business book?

Joel Carusone

18:24Oh, man.

Nathan Latka

18:31Or last one you read?

Joel Carusone

18:34Yeah. I'm trying to think of a good one.

18:38So the Jack Welch book, I think, was probably my favorite book.

Nathan Latka

18:41High Alpha Management?

Joel Carusone

18:43Yeah. So I read that, and it's been probably six, nine months since I read that one. But that was, I think, last one that was... At the end of it, I felt that I may want to read it a second time.

Nathan Latka

18:53That's that's rare and a good sign.

18:55Number two, give me an under the radar CEO, Joel, that you that you're learning from right now.

Joel Carusone

19:02Oh, interesting.

19:04So on the CEO side, actually, not a ton right now. I think I've been more working with the COOs because that's an area of the business where I needed some additional capacity. I think the... Some of the financial side of things is where I had a little bit of a gap. Our old COO actually at Radius. So David O'Brand, one of our board advisors has been extremely helpful through this whole transition process. So

Nathan Latka

19:04Great.

Joel Carusone

19:04He and

19:29I talk, you know, fairly regularly.

Nathan Latka

19:30And number three, besides your own, what's your favorite online tool for building the company?

Joel Carusone

19:34So I think if it wasn't for Slack, I don't know I could... If I would be able to survive. I think if you look at the slack statistics for Radius, I am number one by a fair margin.

Nathan Latka

19:46Number four, how many hours of sleep do get every night?

Joel Carusone

19:51As of late, it's been a lot fewer than it used to be. My wife tries to get me to make sure I go to bed by like 01:00.

Nathan Latka

19:58Okay. So what does that give you? Like six, seven hours a night?

Joel Carusone

20:01Probably around five.

Nathan Latka

20:02Five. Okay. So... And then what's your situation? Obviously, you're married. Any kiddos?

Joel Carusone

20:06Yep. Yeah. I've got a son who's just about two, actually turns two in a couple of weeks.

Nathan Latka

20:11Oh, wow. Okay. So one kiddo. And Joel, how old are you?

Joel Carusone

20:14I am 36.

Nathan Latka

20:1536.

20:16Last question. What do wish your 20 year old self knew?

Joel Carusone

20:19Oh, interesting.

20:23Take more chances. I think I followed the more conservative path throughout my career. I think over the last couple of years, I've been more aggressive in terms of some of the opportunities that have presented themselves. I wish I had done that ten, you know, ten years ago.

Nathan Latka

20:37Guys, take more chances from the current CEO of Radius. Joel, again, launched in 2012. He got really active, call it a year, year and a half ago in terms of being in on the executive team. They raised about a $100,000,000 again, helping with data management, customer being a customer data platform in the B2B space. They really focus on a tight number of customers, call it a 100 customers, high ACVs targeting 50 to 90% year over year growth

21:02moving forward, 150 net revenue retention annually, because they have very clearly defined pricing axes. And again, less than a six month payback on most of their acquisition strategies right now. Of 75 based mostly in San Francisco. Joel, thanks for taking us to the top.

Joel Carusone

21:15Yeah, thank you for having me.