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By Nathan LatkaProductivity & Collaboration5 min read

The Bot Platform Charges for Setup on Purpose. Here's the $2M Case for It

Latka told Tom Gibby that services revenue hits your valuation and VCs hate it. Gibby's answer explains how a company with £300,000 of outside money sells to the enterprise.

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On this page
  1. What it sells and who buys it
  2. How a chatbot company became an employee experience company
  3. The services revenue argument, in full
  4. The cap table nobody diluted
  5. Retention on a small base
  6. Sixteen people

The Bot Platform has 35 customers and does just under $2 million a year. About $800,000 of that is services revenue, which Nathan Latka tells Tom Gibby to stop doing roughly four minutes into the conversation.

I don’t like charging service revenue, it hits their valuation, VCs hate it. Why do you guys do the services revenue?

Gibby’s answer is the most interesting thing on the tape, and it explains how a company with £300,000 of outside money built an enterprise business at all.

The thesis. The Bot Platform charges for setup work on purpose. For an enterprise buyer with an urgent use case, a paid build produces a success story in weeks instead of months — and the customer learns the tool in parallel. The services line is not a margin problem, it is the onboarding mechanism that makes a 2.9% monthly churn rate survivable.

What it sells and who buys it

The product is no-code enterprise software for building work tools — bots, bespoke applications, digital assistants, automated workflows — connected to the internal communication channels staff already live in. Microsoft Teams, Workplace from Facebook, and via API endpoints, other web interfaces.

The buyer is not IT. Gibby names them precisely: employee experience professionals, HR, internal comms.

~$2Mannual revenue at the recording
$110Kmonthly recurring SaaS revenue
35customers

Pricing is a twelve-month licence scaled to company size, from $1,400 a month at the low end to a largest customer at $240,000 a year. Latka does the multiplication out loud — 35 customers times the $1,400 floor — and lands nowhere near the real number, which is the point: the base is enterprise, not long tail.

How a chatbot company became an employee experience company

The Bot Platform launched in 2016 as an original Facebook Messenger launch partner. Its first bot was for one of the biggest DJs in the world — the first bot for the music industry, and a great deal of buzz.

Then two concerns arrived at once: the consumer bot market was getting crowded, and the customers building external bots seemed like they would get more out of internal ones.

We actually thought that the benefits of automation for our clients, even though they were getting huge benefits from the tools they were building, we actually thought that the benefits would be far better to be used internally rather than externally.

Because they were already a Messenger partner, plugging the software into Workplace from Facebook did not require rebuilding much of it. Workplace was the first channel partner and sent the early customers; Microsoft Teams came later, six to nine months before the recording.

The services revenue argument, in full

Gibby does not defend services revenue as a necessary evil. He defends it as a lever.

In the instances where some customers pay us a bit of money to build a couple of bots for them at the beginning, they get some really good success stories really quickly. That also then gives them a bit of time if they have some urgent use cases — they don’t need to worry about learning how to use a new platform, a new tool, they can let us do that for them while simultaneously training their team.

Within a few weeks, he says, the customer is comfortable enough to build whatever they want themselves. It is the same trick the company ran on itself in 2016: custom bot work for brands and ad agencies funded the internal enterprise product before it could pay for itself.

2016

Short campaign work for brands and agencies — three- and six-month digital activations, heavily skewed to services. Roughly $100,000 of it.

Today

“Once we’re a part of their tech stack, they don’t leave.” A $1.2M SaaS run rate with about $800,000 of services alongside it.

The cap table nobody diluted

Latka asks if they are bootstrapped. Gibby says yes, then corrects himself under questioning: about £300,000 raised three and a half to four years earlier at a £4 million valuation, from friends, family and small local investment companies.

It depends how you want to define bootstrapped. You always read about these people bringing in millions and millions of investment. It was kind of like friends and family and maybe some small local investment companies that were involved.

Four co-founders hold roughly 75%. Employees have around 10%, part of it still unallocated for future hires. The outside investors are around 10%. Latka offers $6,000,000 all cash for the business and gets the shortest answer in the interview.

Absolutely not.

Retention on a small base

Monthly churn is 2.9%, which Gibby benchmarks as good against a 3–5% range. Net dollar retention is 118%, so expansion is running well above the loss. What is being expanded is usage rather than seats or features.

A company might get in touch with say maybe 50,000 employees and we might go in at the beginning with a certain pricing model. They then use the platform more and more and then we’re able to upsell them over time based on effectively value-based pricing.

Pressed for the utility metric, he settles on a mixture of how many bots a customer has and how many people use them regularly. He also mentions the number a customer put on it themselves: at the end of year one, one client calculated a 15.6x return on what they were paying.

Sixteen people

Five engineers, three quota-carrying sales reps, sixteen in total. Growth stats Gibby volunteers rather than being asked for: cash and receivables up 81% year on year, and the previous month’s invoicing up 130% against the same month a year earlier. SaaS MRR a year earlier was around $70,000, against $110,000 now. The GetLatka profile records both the $300,000 raise and the run rate for this period.

On raising more, he describes a decision made about two and a half years earlier not to.

We actually decided that it might be much more valuable for us to spend that time that we would invest into raising to just invest into growing the business and trying to generate sales. And that’s what we did and it worked out.

Asked what he wishes he had known at twenty, Gibby gives the only answer in this batch that is purely about money.

Buy Bitcoin, Apple and Tesla stock and never sell.

Sources Tom Gibby’s interview with Nathan Latka, recorded 16 September 2021; revenue, headcount and funding rows from the GetLatka Bot Platform profile.

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