Category Archives: SaaS

Slides from SaaS Metrics Palooza 2024: The Impact of AI on SaaS Metrics

Just a quick post to share my slides from today’s presentation at SaaS Metrics Palooza 2024, entitled The Impact of AI on SaaS Metrics.

The short summary is:

  • The concept of ARR is already challenged by monthly-varying pricing, e.g., usage-based pricing.
  • AI will exacerbate that problem, bringing new forms of value-based pricing, e.g, unit-of-work or outcome-based pricing.
  • There are two schools of thought on dealing with this: (1) split the ARR baby into baseline and variable, then analyze the baseline as if nothing has changed, and (2) spend is truth, where we substitute trailing spend for ARR. I’m in the second camp.
  • AI will, gasp, require us to think about cost, something we don’t really like to do in the software business and something we’ve historically been able to kind of ignore.
  • All the heavy lifting is going to move to the pricing model.

In short, to know ARR we used to read contracts. In the future, we’re going to read invoices, instead.

Yes, for internal reporting we will do a lot of pricing model analysis and examination of the base/variable split. But for external reporting, the big six SaaS metrics all depend on ARR and going forward that won’t change. We’ll just use some proxy for ARR, as many quietly do already today.

Like a duck, nothing will change much on the surface, but they’ll be a lot of activity underneath. And the metrics won’t mean quite the same thing as they once did. For example, ARR and NRR will become less forward looking and work less well as leading indicators.

I’ve embedded the slides below.


You can download a PDF of the slides here.

Thanks for coming!

Come to My Session at SaaS Metrics Palooza: The Impact of AI on SaaS Metrics

While I was unable to make SaaStr Annual this year, I am pleased to announce that I will back at SaaS Metrics Palooza, an entirely virtual conference (where I don’t need to walk on my recovering knee) focused entirely on SaaS metrics, and hosted by my SaaS Talk co-host Ray Rike.

I’m speaking this year on The Impact of AI on SaaS Metrics at 9:00 AM Pacific on 10/8/24.

I picked this topic because I wanted to force myself to learn more about it (the reason I write many Kellblog posts) and that process seems to have worked. I started out asking how will SaaS metrics change because of AI? That led me quickly to pricing models. And that led me all the way back to the existing weaknesses in SaaS metrics created by violations of the simple SaaS model (e.g., usage-based pricing, or anything else that drives variation in monthly spend).

Here’s what we’ll cover:

  • How we got here: a brief, salient history of SaaS metrics
  • When SaaS metrics break — e.g., when monthly spend varies or contracts are prepaid
  • How ARR has become the Achilles’ Heel of SaaS metrics, a big problem given that virtually all top SaaS metrics depend on ARR
  • How proxies for ARR have emerged as a result
  • How and why public companies don’t generally report ARR, and how analysts use Implied ARR instead
  • The four impacts of AI on SaaS metrics, specifically (1) rethinking ARR, (2) the need to consider cost (he says, gasping), (3) rethinking pricing model drivers, and (4) how the heavy lifting will move to the pricing model
  • A quick case study on Piper, the impressive AI SDR from Qualified, how she is priced, and some nuances in estimating the value she delivers when you “hire” her.

The presentation will feature a brief moment of melancholy, a reflection back on the history of software gross margins.


The best aside will be when I present my three rules of pricing.


You can register to attend SaaS Metrics Palooza here. My session is at 9:00 AM Pacific time on Tuesday, October 8th. I will do a separate post after the presentation with a link to the video and a link to the slides.

I hope to see you there and thanks for attending!

The Four Key Questions About Every Angel Investment Opportunity

Excluding VC funds, I’ve directly invested in a few dozen startups. While the jury’s still out on my performance, I can share a few things that I’ve learned along the way:

  • This isn’t easy. Though I’d never thought I’d say this: it’s given me some empathy for early-stage venture capitalists. Be prepared for ten-year-plus exit horizons and to lose every penny you put in.
  • I mock VCs (a little) less. It’s easy to mock VCs for being too fashion-driven, too pedigree-oriented, and too herd-like in their behavior. But when I’m actually in their shoes evaluating seed-stage opportunities, I see myself adopting some of these very same behaviors. (Think: “it’s an AI data play, the founders dropped out of Stanford PhDs, and DCVC is leading the round? I’m in!!”)
  • Access is everything. You can’t invest in a deal that you never see. This leads me to believe that you should only consider angel investing if you have access to amazing group of people who you think will do great things in the future (e.g., by having worked together at a startup seemingly destined to spawn many more).
  • I can see the power law at work. While I have confidence that my returns will be quite good in the end (and marking them to market today is largely meaningless), I can already see that they will be concentrated in a few superstar investments.

I learned one of my more impactful lessons at an A16Z event a few years back. After the presentation, I went up to one of the partners and we spoke:

DK: Hey, I was looking at XYZ Co the other day thought you might be interested in taking a look at them.

A16Z partner: Yes, we know them. I recently had a few team members do a full run-down on that space — there are about a dozen companies in it — and we decided that while we like the space, they weren’t the team we wanted to bet on.

And a light bulb went off. When I find an seed-stage deal, I evaluate the founder, the story, the product, and then make a decision. When professionals find a seed-stage deal, they put a team of three MBAs on finding and evaluating every startup in the emerging space.

That’s a big difference. I never know if they’re the best team in the space. I can only know if I think they’re impressive.

This observation backed me into what I now use as my four-question framework for evaluating angel opportunities:

  • Why this idea? Do people need this? Will they pay for it? How big can it be? Is this really a company or just a feature?
  • Why now? Is this idea too far ahead of its time? Or, is this company too late?
  • Why this company? Do they have a technological head start? Do they have uncommon expertise that is difficult or impossible to replicate?
  • Why this leadership team? Why is this particular group of smart people (hint: they’re all smart) going to win? What is special about the founders that makes me believe they will beat everyone else and/or change the race as need be?

I know many such frameworks exist. I’m not making any uniqueness claim on this approach. I am saying, however, that this is my current framework when wearing my angel investor hat. And I think it’s really useful for founders to switch perspectives from time to time, so they can get a better sense for what the people on the other side of the table are thinking.

And, in the end, they’re thinking like investors. The more you can too, the better you’ll do when fundraising.

Does Your Startup Need a Patent Strategy?

Yes.

And, by the way, I’m not joking with that answer. I’m not saying you need 17 patents. I’m not saying you need any patents at all — but you probably do. I am saying that despite the frenetic life of running a startup, you need to step back from time to time — maybe once a year or maybe on a cycle before your product releases — take a minute to learn (or remind yourself of) the basics of patents, and then sit down with your technical leaders and your intellectual property (IP) counsel to have a chat.

That is, you may not need to file any patents right now, but you do need to understand patents and devise your company’s strategy for them.


Waiting is not a great option for two reasons:

  • If you don’t have patents when you need them, it will be too late
  • You can lose important rights to your inventions if you fail to patent them before certain milestones

To help you with this process, my Balderton colleagues Dan Teodosiu, Andrew Wigfall, and I recently published a Balderton Perspective entitled: Why Your Startup Needs a Patent Strategy.

The three of us work as EIRs at Balderton, where our role is to advise portfolio companies on operational matters. Dan’s a product/technology guy, Andrew’s a lawyer, and I’m a marketer and former CEO. So we’re kind of the perfect trio to write such an article and provide a holistic view of the subject.

The piece discusses the following topics:

  • Why to file patents
  • A quick introduction to patents
  • What a patent strategy is and why you need one
  • How to define your patent strategy

I encourage all founders and technology or product leaders to read it and then get cracking on your company’s patent strategy.

The SaaS Talk 50th Episode Credits

As readers will hopefully know, I’ve been running a podcast with Ray Rike for about the past year called SaaS Talk with the Metrics Brothers, Growth and CAC. (Ray’s growth and I’m CAC.) If that name rings familiar, it’s because our naming inspiration was Car Talk with the Tappet Brothers, Click and Clack.

We ended up not duplicating Car Talk’s radio call-in format, and unlike many podcasts, we’ve also chosen not to center the podcast around guest interviews. Instead, we talk — some might say bicker — for about 20 minutes roughly every week about SaaS metrics, benchmarks, and reports. We are the perfect treadmill companions.

For example, some of our recent episodes were focused on SaaS metrics like the Burn Multiple, the Rule of X, and the LTV/CAC ratio. We’ve also recently covered the Rubrik S-1 and the 2024 Bessemer State of the Cloud Report. This week we published our 50th episode, which was on the OneStream S-1 and subsequent IPO.

Because these topics can be, well — kind of dry — we try to have some fun with the podcast, squeezing in the odd bad (and some would say, “dad”) joke and generally trying to seize any opportunity to lighten up the content. One example is our legal trailer which not only covers important legal terms, but does so in a light-hearted way. (Then again, we rarely get feedback on the jokes, so I wonder if people aren’t listening to the trailer. It couldn’t possibly be that the jokes don’t land.)

So in the spirit of fun, we decided to do some Car Talk-style credits to celebrate our 50th episode. Here they are. While the first three rows are real, the rest are Car Talk-style. You can listen to the credits at the end of the episode.

The SaaS Talk Official Credits

Early presenting sponsorsMaxio and Gainsight
Podcast agencyBen Shapiro, I Hear Everything
Production teamTagg Hurtubise and Vivien Nelsen
Customer success analystIvana Renoulle
Startup liquidation expertRenata Cash
Italian growth marketing specialistAnita Mopipe
Demandgen consultantSeymour Leeds
Sales productivity expertCarrie Akwota
Federal sales advisorMajor Kommit
PE roll-up strategistTucker Inn
Growth-profitability consultantDarule Offerty
CFOCasius King
Equity advisorLeigh Ninn
Sales ROI specialistCP Pelong
Budgeting consultantOtto Plan
Classification analystKay Nearest-Neighbors
Opex benchmarkerEB Itdalow
Forecast managerNoah Klue
Hot takes advisorVin Dallo
Zoom productivity consultantDiana Calls
GTM efficiency expertCack Dadee
PE financing strategistLee Verup