2024 Revenue
$1.4M
Customers · 2023
50
Funding
$0
Team
10
Founded
2019
Trust Keith Revenue (2024)
Trust Keith is a bootstrapped data-compliance firm founded in 2020 that gives startup and scale-up businesses access to a dedicated privacy expert supported by proprietary software. As of the first quarter of 2023, the company had crossed $1 million in annual recurring revenue, serving more than 50 customers at an average contract value of roughly $23,000 per year.
The London-based firm operates with a team of 12, a mix of full-time staff and freelancers, and is structured around three core functions: operations and people, customer experience, and sales and marketing. The business has been built without outside capital, following the operational framework laid out in Gino Wickman's book Traction.
Gross margin is a central strategic priority for Trust Keith. The company tracks the metric twice a month and is working toward the 80 percent threshold it views as the benchmark for efficient SaaS and services businesses, drawing on the Bessemer Ventures NASDAQ Emerging Cloud Index, which shows a median gross margin of 85.8 percent among its top 15 companies.
Last updated
Trust Keith Revenue
Trust Keith crossed $1 million in annual recurring revenue as of the first quarter of 2023, a milestone Rory Codrington described as "a real slog to get there." The company was founded in 2020, making the three-year path to seven-figure ARR the full revenue history available from the interview.
With 50 customers and an average contract value of approximately $23,000 per year, the revenue base is concentrated in a relatively small number of mid-market accounts. Codrington did not disclose prior-year revenue figures, so a year-over-year growth rate cannot be calculated from the transcript. Profitability was not discussed in the interview.
GetLatka estimate: applying a conservative growth assumption given the bootstrapped, services-heavy model, Trust Keith could reach $1.2 million to $1.5 million in ARR by the end of 2023. This range uses a deceleration-adjusted rate rather than any early-stage hyper-growth multiple, and should be treated as a rough floor-to-ceiling estimate, not a company-confirmed figure.
Trust Keith Valuation, Funding Rounds
Trust Keith is a bootstrapped Security Compliance Software startup. Founded in 2019, Trust Keith has grown to $1.4M in revenue without raising any venture capital or outside funding.
As a self-funded Security Compliance Software SaaS company, Trust Keith has built its business with no outside investment.
| Year | Round | Amount | Valuation | % Sold | Source |
|---|
Founder / CEO
Rory Codrington
CEO
Rory Codrington is the Founder and CEO of Trust Keith. He presented the company's gross-margin strategy at a founder event in March 2023, walking through the operational playbook the business uses to track and improve delivery efficiency.
Codrington did not discuss prior companies or earlier career history during the interview. His net worth was not discussed, and no ownership percentage or valuation basis exists in the transcript from which an estimate could be derived.
Q&A
| Question | Answer |
|---|---|
| What's your age? | - |
| Favorite online tool? | - |
| Favorite book? | - |
| Favorite CEO? | - |
| Advice for 20 year old self | - |
Customers
Trust Keith supported more than 50 scale-up customers as of March 2023. The average contract value was approximately $23,000 per year, which Codrington described as representative of the company's typical engagement.
The company does not appear to offer a free tier based on the interview. Pricing structure beyond the average annual contract value was not discussed. Customer count by segment, churn rate, and net revenue retention were referenced as important metrics the company tracks internally, but specific figures were not disclosed.
Trust Keith serves 50 customers.
Trust Keith Business Model
Trust Keith sells annual compliance-as-a-service contracts to startups and scale-ups, bundling access to a named privacy expert with supporting software. Each customer is assigned a dedicated data protection officer or privacy manager, supported by privacy associates, creating a pod-based delivery model.
Gross margin is the company's primary efficiency metric and is reviewed twice a month by the Director of Customer Experience and the finance manager. Codrington said the company is tracking toward the 80 percent gross margin threshold it considers the benchmark for efficient SaaS and services businesses. The Bessemer Ventures NASDAQ Emerging Cloud Index, which Codrington cited, shows a median gross margin of 85.8 percent among its top 15 companies, with Asana at approximately 89 percent at the top of that list.
The company calculates gross margin both top-down from its profit and loss statement and bottom-up by attributing time and cost to each stage of the customer experience map. Codrington noted that roughly 75 percent of delivery team time is customer-facing and billable, with approximately 15 percent allocated to internal work. Specific gross margin figures for Trust Keith were shown as live tracking data during the presentation but were not stated as discrete percentages in the transcript. Codrington said actuals were above internal targets and the company was on track toward 80 percent. Burn rate, runway, CAC, LTV, and free-to-paid conversion were not disclosed. Customer acquisition cost payback period was raised by an audience member; Codrington indicated the company had not yet calculated it formally.
Point-in-time figures shared on the GetLatka podcast, each linked to the exact moment it was said on camera.
Trust Keith Employees & Team Size
Trust Keith had a team of 12 as of March 2023, comprising a mix of full-time employees and freelancers. Codrington described the lighter-shaded roles in the company's org chart as freelancers and consultants the firm leans on alongside its core staff.
The team is organized into three functions: operations and people, customer experience, and sales and marketing. The customer-facing delivery pod as of March 2023 consisted of a senior privacy manager, two data protection officers, and two privacy associates, after the company eliminated a standalone customer success manager role in a restructuring completed in the prior quarter.
Trust Keith employs approximately 10 people as of 2026, down from 12 in 2023. It serves 50 customers that rely on its solutions.
| Year | Milestone | Source |
|---|---|---|
| 2024 | Reached 10 employees (October 2024) | |
| 2023 | Reached 12 employees (January 2023) | |
| 2022 | Reached 11 employees (December 2022) | |
| 2021 | Reached 8 employees (December 2021) |
Frequently Asked Questions about Trust Keith
What is Trust Keith's revenue?
Trust Keith generates $1.4M in revenue.
Who founded Trust Keith?
Trust Keith was founded by Rory Codrington.
Who is the CEO of Trust Keith?
The CEO of Trust Keith is Rory Codrington.
How much funding does Trust Keith have?
Trust Keith is bootstrapped and has not raised outside funding.
How many employees does Trust Keith have?
Trust Keith has 10 employees.
Where is Trust Keith headquarters?
Trust Keith is headquartered in London, England, United Kingdom.
Compare Trust Keith to the industry
Trust Keith operates across multiple industries. Browse revenue, funding, and growth data for Trust Keith in each sector below.
Full Interview Transcripts
How we pivoted our customer experience map to hit 80% Gross MarginMar 17, 2023
[00:00] Morning. I'm Rory. I'm the Founder and CEO of trustkeith. We help start up and scale up businesses become and stay compliant with data regulation. We do that by combining by giving them access to a dedicated expert backed up by software. We now support over 50 scale ups. We're bootstrapped. And today I'm to talk you through how we're solving for gross margin. We often hear about this 80% number. Here's how we're thinking about it. Here's how we're [00:30] working towards that and hopefully give you a bit of a semblance of how you can go and achieve something similar in your businesses. [00:37] So there's three parts I'm going talk through. One, the actual mapping process that we go through and some tips on some mirror tips on that. Two, how we're solving for gross margin, but also just putting some context about why 80%, how we're thinking about that and what the market looks like for that. And then finally, how we're thinking about it in the future, so as we're scaling to this next revenue milestone from our perspective. So to [01:03] give you a bit of context where we're at, we're just over three years old. We are as of this quarter, we're north of $1,000,000 of annual recurring revenue. It's been a real slog to get there, as you can kind of see here. To give you context, our average customer value is around sort of $23,000 per year, and that's a bit of a flavor. Next, just to kind of put some more context behind that is what our [01:29] team looks like. This is the structure we have really effectively as of March. We're a team of 12. It's all bootstrapped. It's been very leanly done. The lighter color here is lighter color ones are freelancers and consultants that we kind of lean on as well. We've very intentionally built the business around a book called Traction, which is a book by Geno Wickman. It's really like an operational playbook that you can run -in terms of customer values, [01:54] accountability framework, the metrics and the scorecard and really the rhythm of the business. And one core element of that approach is the functional approach. So we have three core functions, which you can see here: Ops, which is people ops and finance customer experience, which is basically everything that we do with our customers and then finally, sales and marketing. So that's really just a semblance of how we're thinking about the business. [02:19] So when it comes to mapping out the customer experience, one of the first things to do is actually just mapping out who's involved, who's actually touching the customer during the experience. So these are live examples for ourselves. That's the account exec on the sales side, the privacy associate, the dedication officer, customer success manager and the head of service delivery. If you were taking this to the next level, you might include finance or any other role in [02:42] the business that is touching the customer once you start talking with them. [02:51] Once we've got those roles, we'll start mapping out all the minute, miniature sort of detail. [02:59] >> So this is really [03:00] looking at what every output you're getting them, what are the inputs for it? So the output might be, right, a customer kickoff meeting, that's the moment of value in this example. What are all the steps that are going into it? And ultimately, more detailed you are, the better visibility you're going to get around where you can find efficiencies, but also it's a real good stepping stone for building out your standard operating procedures and that kind of [03:23] operating bible that you're going need as you scale. [03:28] So ultimately, you're to do that against every different stage of the customer lifecycle from sales to the kind of handover, the onboarding on the adoption, and you're ultimately then going to build out what I'm about to show you here. And this is just an illustrative example. By building out these swim lanes, and again, a tool like Mirror is perfect for this because it's very interactive and you can just keep scrolling and scrolling, you then pull in [03:58] a live example. And we can what the benefits of doing this is we can now really be seeing where's time being spent, who's doing the heavy lifting, where are people doubling up, and essentially, it's an opportunity to really work out where the bottlenecks are. But it's also a really good means to, I guess, review your accountability structure in terms of these roles, who's accountable, responsible, consultant informed for each of these different kind of customer milestones. [04:32] So the next part, which is really part of that, kind of teased already, is just mapping out the customer value moments because these are really where it's from a customer perspective is what it's all for. So it's trying to make these value moments, at least from a customer perspective, as smooth and as quick as possible. Some other examples for the customer value moments might be, if you look at your product adoption metrics, you're going to understand, [04:56] well, a successful customer has done this by X date, let's really solve the ins and outs beneath that to ensure that we're getting that efficiently and quickly as well. [05:08] So that's a quick look at the mapping out process, identifying the stakeholders, mapping out the inputs and outputs and potentially then putting that together in that one visual. There's an artifact that goes with this presentation, which is basically the whole workshop here, so if want to go and run this with your own teams, particularly, think that the big moment is that kind of handover from sales to customer success. That's where we found a lot of bottlenecks [05:34] that we've been solving that has made an impact on our gross margin as well. [05:42] So next up, why 80%? Why that number? [05:48] There's ultimately I mean, gross margin is ultimately a quantifiable metric of efficiency. And in something like SaaS software, it's all about efficiency and like scalability. Other metrics that I would put in the same basket, this would be net revenue retention, your efficiency of holding on and retaining and growing that revenue as well as on the sales and marketing side of things when it comes to your customer acquisition cost to lifetime value, that efficiency as well. And [06:15] I often think with the business we're building, in the scheme of things, I'm not expecting us to have some like unicorn growth and that to be the exciting metric of the business. I see something like the efficiencies, which we have so much more control over as ultimately a really good piece of value that we can build in the business by just building a really good efficient machine. [06:35] So this is a list. This is Bessemer Ventures, the NASDAQ Emerging Cloud Index. It's the top 15 companies in April recognize all of these logos. But the commonality we're seeing here is the gross margin. So that it only actually goes up to 90%, but in any case, the median of 85.8% is pretty cool. And then you've Asana at the top at around 89%. But I'd be interested looking in here if anyone's got anything north of 80%. [07:07] What have you got? [07:09] >> You didn't track it. [07:11] Yeah. [07:12] We know what good looks like. [07:14] >> Can you just clarify what you mean by gross margin? So [07:21] I define gross margin as cost of goods sold. And I'll give you an example just after this about how we kind of [07:27] >> tally it up. [07:31] And then additionally here on this next graph from the same index, we're seeing ARR multiples versus gross margin, and all those blue dots are the top percentile ones and some classic brands in that space as well. In any case, ultimately, gross margin is just one of the basket of metrics that is going to get you to the high multiple, but it's definitely a core part. [08:32] I think you're right. In the gross margin one, even if you're massively burning cash, you can probably still have quite a good gross margin because you're really only attributing the cost of goods sold or from a product perspective, even just at the maintenance cost of doing that, which is typically quite marginal. I think where most companies are then overspending is on the customer acquisition side of things. Until they can get that, anything about the customer acquisition [08:52] >> payback period, think for a lot of companies, it's sort of north of twelve months. [09:03] No. [09:04] >> Not yet. [09:05] But that would be useful. [09:08] >> Yeah. [09:09] Agreed. But a quick snapshot of those players there. [09:16] Next is then looking at [09:20] determining deal gross margins. There's kind of two different ways that we look about doing it. There's obviously the classic way, which is top down, starting with your P and L, pulling out cost of goods sold. And then we think the way I think of the team cost for us with our data collection officers, we might say, well, 75% of their time is billable, is customer facing, 15% is just kind of internal stuff. But useful from this [09:42] perspective, the more investigative way that we've done as well is going bottom up. So when we come back to those swim lane sort of experience map that we've got already, we can actually go in there and start attributing cost to each stage of these as well so we can get real granular around what are the expensive parts to it. Particularly, again, some of those customer value moments, what's the cost of delivering that kickoff meeting or whatever [10:08] it might be along the adoption curve as well? So that's been really useful for us. And it's also a really good sort of collaborative team exercise, get people bought into finding that 1% sort of incremental improvements as well. And it's something that we try and do once a quarter, if only for one segment of the customer experience map. [10:33] So once we've identified the bottlenecks, and I'm going to talk through a couple of examples, we can then set about solving for them. So the first example comes to mind is [10:46] inefficient resource management. So in Q4 last year, this is what our delivery team looked like, and there's three different roles here. And some of the constraints of this was there's too many contacts talking with the customer, and that was confusing. We did a time spent analysis using Clockify, which is a free tool that was quite useful. And we could see that the our customer success manager role was just heavily underutilized. We weren't really going to get [11:12] true capacity in that role for a while. So we could start exploring could some of that role be done by other people in the team and how would that look as we scaled. [11:22] And there was no alignment within these different roles of who actually owned upsell and, to some extent, was attributable for net revenue retention. So that was kind of our starting point that we knew wasn't working for us. So we did a team restructure, and we've now got this kind of pod format here with the senior privacy manager, two DPOs and two privacy associates. And by streamlining that, we've got rid of the customer success manager role. The [11:46] DPO is now playing a little bit more of an account manager role, which actually doubles up better because each DPO is looking after less customers than once customer success manager looking after all the customers. So it meant we started getting a bit more ownership of upsell within that as well, as well as just better customer knowledge within the team. So it streamlined the delivery of things. There's less roles for customers to interact with and ultimately And [12:10] >> the privacy manager for you, is that like a customer service person? What is that? [12:15] No. So this is more because we're we give customers access to an expert backed up by software. They'll have a named person who's there like expert, and then we have supporting roles at the privacy associate who's [12:24] >> had Like account manager? [12:26] Yeah, exactly, yeah. [12:29] So that's that example. The other example was solving for some of our customer adoption challenges. So [12:50] We had an adoption challenge where [12:54] quite a lot of the adoption of the onboarding steps was put on the customer to do, and there was like a long kind of to do list that we leave them with. And we found that because they weren't ring fencing the time to do it, we were spending a lot of time chasing them to try and move them to the next step. So one of the things we did was actually start booking in a monthly kind [13:09] of check-in call with the customer, which is a combination of running through any legacy onboarding actions as well as any other ongoing activities. By having that protected time, the customer did their stuff. We always had that check-in point. And really as a result of that, they were making better progress. It was a more efficient use of our team's time because we weren't having to chase. It was just a block time that we knew was coming. And [13:31] as a result, it not only improved our NPS, which is a big jump in March this year, but also the gross margin gain and just efficiency of like, right, that's now how we run that process, make it nice and well oiled and off we go. So that was really helpful. [13:49] Some other examples we did that were kind of bottlenecks for us were one was our kind of customer health reporting. So we run like a red, amber, green sort of weekly report. And until recently, it was a spreadsheet. It was a multiple number a couple of different levers that were just quite manual to oversee and time consuming. And we've now automated that in HubSpot, and that has sped up that process as well as keeping us more [14:12] accountable with truer numbers. Another example of a bottleneck for us was the customer onboarding side of things. We used to give them a legacy kind of knowledge base where they can go and find all the steps themselves, and we found that it was just a bit confusing, quite overwhelming for them. So we actually migrated and put it in a shared Asana project that we'd give them access to so they could put in their own time lines. [14:36] It was probably a tool they're using already internally as well, and that just enabled us to delegate a lot more of the overhead of managing that, which had an impact on our onboarding efficiency. Another example would be the sales to customer handover. Our account execs used to go and sit down with that debt reduction officer, talk them through the deal and then hand them over. Then we evolved that. We've actually restructured our HubSpot and the way [15:02] we make notes so that actually they get access to the deal on the handover and it's all structured in a way that's super straightforward to understand. We don't need to have that meeting. So that's been another efficiency gain. And what you'll see with all these examples is just they're just iterative things that's like, okay, found a half an hour improvement there or that's a thing we now don't need to do at all. And these things start [15:20] adding up quite quickly. And I think a big part for us has just been that culture internally of finding the 1% that's worked well for us. [15:33] So the next thing is looking at well, that was how we looked at gross margin. Next, how we're thinking about it as we scale going forward from our kind of mill of ARR onwards to five and ten down the line. This is how we track gross margin. Know these are live numbers. So we're [15:54] putting goals on an annual basis, and we're tracking on a monthly. So you can see our actuals were above where we wanted to be, and we're on track to that golden 80%. [16:07] And this metric is owned by our Director of Customer Experience. He sits down with our finance manager twice a month. We're just keeping a real pulse on that metric. For us, it's a real north star for us, and that's what we've been solving for. [16:23] The next thing that we've been thinking about as well is understanding what our levers are for increasing gross margin. There's ultimately kind of two things to that. One is bringing the cost of goods sold down and the second is increasing revenue. Ultimately, the cost of goods is a lot more controllable than the revenue, particularly in the short term. So some examples for us on customer cost of goods sold would be the frequency with which we're reviewing [16:50] our customer experience map to find those one percents. It's that internal culture of always trying to get the team to find that 1%, but as well how we're solving for this next evolution of kind of product development because there's a lot of things we're doing internally that we know at some point we can automate or productize. So for us, we're always keeping that back of mind of what would need to be true for us to achieve [17:11] that. [17:13] Next up is just increasing revenue. I think there's a more controllable element of this in the first case, which is improving average customer value, particularly if think about your existing cohort of customers, the efficiency of upsell and expansion. I talk to a lot of founders and I often find that they're more interested or more focused on new revenue as opposed to growing existing revenue. And I think we all know the power of good net revenue retention [17:37] that compounded over time is something that we've been solving for probably as a mutual priority just because we've already got access to those customers and that opportunity. [17:49] So the final thing then is how we align the team with our gross margin. We keep this as an annual goal. It's something that's shared frequently in the business, and it's something that we report on a leadership on a weekly level, monthly at our all hands. It's always present in our objectives and key results and as part of our annual game planning process as well. So that is a quick recap of how we're scaling our gross [18:19] margin. And ultimately, this is what I walked through over the last twenty minutes or so in terms of the mapping process, and you've got the artifact if you want to do that workshop yourself, how we've solved for it in a couple of examples and how we're prioritizing it going forward. But if you've got any questions, just let me know. [18:45] >> You had your CX workshop screen up there for like ten seconds. [18:49] Should be Nathan will probably distribute it. It'll be like one of the Perfect. [18:53] >> I'll get it out of there. Thanks. Yeah. No worries.
Data and Sources
All figures on this page are taken directly from interviews or are estimates from public sources and proprietary models. Not financial advice. Read full disclaimer.
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