Feb 2, 2024 · 28m · saastr

2025 State of SaaS: Trends and Predictions with SaaStr CEO and Founder, Jason Lemkin

Jason Lemkin · 25m spoken
0:00 / 0:00
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In this keynote presentation, SaaStr founder Jason Lemkin breaks down the structural transformation of the post-2024 SaaS industry, urging founders to reset organizational expectations, abandon artificial retention-driven growth, and build disciplined, lean companies focused on genuine new customer acquisition.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Jason holds 99.4% of the talking time here. How this is scored →

Jason as informed peer 7.8 Guest teaching 0.0 Guest disagreement 0.1 Jason pushing back 0.1
05100:0010:0020:000:04–2:39 · Jason as informed peer 7/10 The 2020 to 2024 SaaS Rollercoaster and Industry Reset Jason delivers an opening keynote detailing the whiplash of the SaaS cycle from 2020 through 2024. The audience member only provides a brief introductory greeting with no pushback or debate.2:40–5:50 · Jason as informed peer 8/10 Defining Real SaaS Efficiency and Headcount Math Jason shares precise math from his own portfolio investments and public SaaS benchmarks, demonstrating how headcount must scale relative to ARR (approaching $300k revenue per employee).6:08–10:44 · Jason as informed peer 8/10 Addressing Burnout and the Lost Generation of Talent Jason draws on data from interviewing over 50 VPs of sales and 40 CS leaders to diagnose a 'lost generation' of burned-out executives unwilling to perform frontline work.10:45–14:38 · Jason as informed peer 8/10 Decacorn Market Distortions and Sales Compensation Challenges Jason cites Eileen Lee's data on unicorns and Gartner's $1T cloud spend forecast to illustrate how decacorns like OpenAI distort compensation benchmarks and expectations for standard startups.14:39–16:48 · Jason as informed peer 7/10 AI Support Automation and Death of the Generalist Jason discusses the push toward automating 50% of support interactions with AI and explains why the generalist role in CS is rapidly disappearing as CS becomes weaponized for expansion.16:49–20:08 · Jason as informed peer 8/10 Navigating an Uneven Downturn and Macro Cloud Expansion Jason references public market data from Jamin Ball and Gartner to show that the downturn is unevenly distributed across SaaS. The audience member briefly chimes in with call-and-response answers.20:09–24:49 · Jason as informed peer 8/10 Confronting Product-Market Fit Loss and Rebuilding Competitiveness Jason gives candid strategic guidance to founders on recognizing when a product has fallen out of product-market fit, using Fastly's NRR dynamics and portfolio examples as case studies.24:50–28:36 · Jason as informed peer 8/10 Multiple Compression, Marketing Inefficiency, and Avoiding NRR Zombie Mode Jason analyzes multiple compression at 6x ARR and Benchmarks data showing that sales and marketing efficiency worsened despite layoffs, warning founders against becoming 'NRR zombies'.0:04–2:39 · Guest teaching 0/10 The 2020 to 2024 SaaS Rollercoaster and Industry Reset Jason delivers an opening keynote detailing the whiplash of the SaaS cycle from 2020 through 2024. The audience member only provides a brief introductory greeting with no pushback or debate.2:40–5:50 · Guest teaching 0/10 Defining Real SaaS Efficiency and Headcount Math Jason shares precise math from his own portfolio investments and public SaaS benchmarks, demonstrating how headcount must scale relative to ARR (approaching $300k revenue per employee).6:08–10:44 · Guest teaching 0/10 Addressing Burnout and the Lost Generation of Talent Jason draws on data from interviewing over 50 VPs of sales and 40 CS leaders to diagnose a 'lost generation' of burned-out executives unwilling to perform frontline work.10:45–14:38 · Guest teaching 0/10 Decacorn Market Distortions and Sales Compensation Challenges Jason cites Eileen Lee's data on unicorns and Gartner's $1T cloud spend forecast to illustrate how decacorns like OpenAI distort compensation benchmarks and expectations for standard startups.14:39–16:48 · Guest teaching 0/10 AI Support Automation and Death of the Generalist Jason discusses the push toward automating 50% of support interactions with AI and explains why the generalist role in CS is rapidly disappearing as CS becomes weaponized for expansion.16:49–20:08 · Guest teaching 0/10 Navigating an Uneven Downturn and Macro Cloud Expansion Jason references public market data from Jamin Ball and Gartner to show that the downturn is unevenly distributed across SaaS. The audience member briefly chimes in with call-and-response answers.20:09–24:49 · Guest teaching 0/10 Confronting Product-Market Fit Loss and Rebuilding Competitiveness Jason gives candid strategic guidance to founders on recognizing when a product has fallen out of product-market fit, using Fastly's NRR dynamics and portfolio examples as case studies.24:50–28:36 · Guest teaching 0/10 Multiple Compression, Marketing Inefficiency, and Avoiding NRR Zombie Mode Jason analyzes multiple compression at 6x ARR and Benchmarks data showing that sales and marketing efficiency worsened despite layoffs, warning founders against becoming 'NRR zombies'.0:04–2:39 · Guest disagreement 0/10 The 2020 to 2024 SaaS Rollercoaster and Industry Reset Jason delivers an opening keynote detailing the whiplash of the SaaS cycle from 2020 through 2024. The audience member only provides a brief introductory greeting with no pushback or debate.2:40–5:50 · Guest disagreement 0/10 Defining Real SaaS Efficiency and Headcount Math Jason shares precise math from his own portfolio investments and public SaaS benchmarks, demonstrating how headcount must scale relative to ARR (approaching $300k revenue per employee).6:08–10:44 · Guest disagreement 0/10 Addressing Burnout and the Lost Generation of Talent Jason draws on data from interviewing over 50 VPs of sales and 40 CS leaders to diagnose a 'lost generation' of burned-out executives unwilling to perform frontline work.10:45–14:38 · Guest disagreement 0/10 Decacorn Market Distortions and Sales Compensation Challenges Jason cites Eileen Lee's data on unicorns and Gartner's $1T cloud spend forecast to illustrate how decacorns like OpenAI distort compensation benchmarks and expectations for standard startups.14:39–16:48 · Guest disagreement 0/10 AI Support Automation and Death of the Generalist Jason discusses the push toward automating 50% of support interactions with AI and explains why the generalist role in CS is rapidly disappearing as CS becomes weaponized for expansion.16:49–20:08 · Guest disagreement 1/10 Navigating an Uneven Downturn and Macro Cloud Expansion Jason references public market data from Jamin Ball and Gartner to show that the downturn is unevenly distributed across SaaS. The audience member briefly chimes in with call-and-response answers.20:09–24:49 · Guest disagreement 0/10 Confronting Product-Market Fit Loss and Rebuilding Competitiveness Jason gives candid strategic guidance to founders on recognizing when a product has fallen out of product-market fit, using Fastly's NRR dynamics and portfolio examples as case studies.24:50–28:36 · Guest disagreement 0/10 Multiple Compression, Marketing Inefficiency, and Avoiding NRR Zombie Mode Jason analyzes multiple compression at 6x ARR and Benchmarks data showing that sales and marketing efficiency worsened despite layoffs, warning founders against becoming 'NRR zombies'.0:04–2:39 · Jason pushing back 0/10 The 2020 to 2024 SaaS Rollercoaster and Industry Reset Jason delivers an opening keynote detailing the whiplash of the SaaS cycle from 2020 through 2024. The audience member only provides a brief introductory greeting with no pushback or debate.2:40–5:50 · Jason pushing back 0/10 Defining Real SaaS Efficiency and Headcount Math Jason shares precise math from his own portfolio investments and public SaaS benchmarks, demonstrating how headcount must scale relative to ARR (approaching $300k revenue per employee).6:08–10:44 · Jason pushing back 0/10 Addressing Burnout and the Lost Generation of Talent Jason draws on data from interviewing over 50 VPs of sales and 40 CS leaders to diagnose a 'lost generation' of burned-out executives unwilling to perform frontline work.10:45–14:38 · Jason pushing back 0/10 Decacorn Market Distortions and Sales Compensation Challenges Jason cites Eileen Lee's data on unicorns and Gartner's $1T cloud spend forecast to illustrate how decacorns like OpenAI distort compensation benchmarks and expectations for standard startups.14:39–16:48 · Jason pushing back 0/10 AI Support Automation and Death of the Generalist Jason discusses the push toward automating 50% of support interactions with AI and explains why the generalist role in CS is rapidly disappearing as CS becomes weaponized for expansion.16:49–20:08 · Jason pushing back 1/10 Navigating an Uneven Downturn and Macro Cloud Expansion Jason references public market data from Jamin Ball and Gartner to show that the downturn is unevenly distributed across SaaS. The audience member briefly chimes in with call-and-response answers.20:09–24:49 · Jason pushing back 0/10 Confronting Product-Market Fit Loss and Rebuilding Competitiveness Jason gives candid strategic guidance to founders on recognizing when a product has fallen out of product-market fit, using Fastly's NRR dynamics and portfolio examples as case studies.24:50–28:36 · Jason pushing back 0/10 Multiple Compression, Marketing Inefficiency, and Avoiding NRR Zombie Mode Jason analyzes multiple compression at 6x ARR and Benchmarks data showing that sales and marketing efficiency worsened despite layoffs, warning founders against becoming 'NRR zombies'.

speaking balance: gold is Jason, purple is the guest (3 minute bins)

0:00 · Jason 99.4% · guest 0.6%0:00 · Jason 99.4% · guest 0.6%3:00 · Jason 99.9% · guest 0.1%3:00 · Jason 99.9% · guest 0.1%6:00 · Jason 99.4% · guest 0.6%6:00 · Jason 99.4% · guest 0.6%9:00 · Jason 99.9% · guest 0.1%9:00 · Jason 99.9% · guest 0.1%12:00 · Jason 99.5% · guest 0.5%12:00 · Jason 99.5% · guest 0.5%15:00 · Jason 99.6% · guest 0.4%15:00 · Jason 99.6% · guest 0.4%18:00 · Jason 98.1% · guest 1.9%18:00 · Jason 98.1% · guest 1.9%21:00 · Jason 99% · guest 1%21:00 · Jason 99% · guest 1%24:00 · Jason 99.6% · guest 0.4%24:00 · Jason 99.6% · guest 0.4%27:00 · Jason 99.2% · guest 0.8%27:00 · Jason 99.2% · guest 0.8%
Sharpest disagreement ▶ 18:28 Audience callout on Slack vs. Yammer

An audience member playfully interjects a comment during Jason's discussion on painkiller versus vitamin SaaS products.

Hardest push from Jason ▶ 18:30 Jason clarifying the vitamin vs painkiller distinction

Jason pushes past audience callouts to clarify why even 'vitamin' products grew to massive scale during previous SaaS market cycles.

Biggest teaching moment ▶ 18:07 Audience finishing the phrase 'Pain killing'

An audience member supplies the phrase 'Pain killing' when Jason pauses to recall the exact industry terminology.

Jason holds their own ▶ 3:15 Jason breaking down the 700-employee / $200M ARR efficiency math

Jason authoritatively demonstrates SaaS efficiency economics by breaking down the revenue-per-employee ratios across his portfolio companies and public comps.

the scores for every segment, with the reasoning behind each
ChapterTopicJason as informed peerGuest teachingGuest disagreementJason pushing backWhy
The 2020 to 2024 SaaS Rollercoaster and Industry Reset 7000 Jason delivers an opening keynote detailing the whiplash of the SaaS cycle from 2020 through 2024. The audience member only provides a brief introductory greeting with no pushback or debate.
Defining Real SaaS Efficiency and Headcount Math 8000 Jason shares precise math from his own portfolio investments and public SaaS benchmarks, demonstrating how headcount must scale relative to ARR (approaching $300k revenue per employee).
Addressing Burnout and the Lost Generation of Talent 8000 Jason draws on data from interviewing over 50 VPs of sales and 40 CS leaders to diagnose a 'lost generation' of burned-out executives unwilling to perform frontline work.
Decacorn Market Distortions and Sales Compensation Challenges 8000 Jason cites Eileen Lee's data on unicorns and Gartner's $1T cloud spend forecast to illustrate how decacorns like OpenAI distort compensation benchmarks and expectations for standard startups.
AI Support Automation and Death of the Generalist 7000 Jason discusses the push toward automating 50% of support interactions with AI and explains why the generalist role in CS is rapidly disappearing as CS becomes weaponized for expansion.
Navigating an Uneven Downturn and Macro Cloud Expansion 8011 Jason references public market data from Jamin Ball and Gartner to show that the downturn is unevenly distributed across SaaS. The audience member briefly chimes in with call-and-response answers.
Confronting Product-Market Fit Loss and Rebuilding Competitiveness 8000 Jason gives candid strategic guidance to founders on recognizing when a product has fallen out of product-market fit, using Fastly's NRR dynamics and portfolio examples as case studies.
Multiple Compression, Marketing Inefficiency, and Avoiding NRR Zombie Mode 8000 Jason analyzes multiple compression at 6x ARR and Benchmarks data showing that sales and marketing efficiency worsened despite layoffs, warning founders against becoming 'NRR zombies'.

Statements from this episode (19)

Assertion Supported
Lemkin: 2021 saw the creation of roughly 600 unicorns
“2021 comes in and somehow we have 600 unicorns.”
Jason Lemkin Feb 2, 2024 ▶ 0:53
Opinion
Lemkin: SaaS companies forced unearned price increases on customers in 2023
“Everyone raised prices, even though they didn't often, usually they didn't earn it. They jammed price increases down customers throats.”
Jason Lemkin Feb 2, 2024 ▶ 1:42
Assertion Not checkable as stated
Lemkin: $200M ARR SaaS startups converge at 700 headcount and breakeven
“Turns out in 20, 24, they're all, these three and a half companies, 200, they're all exactly the same. They're all breakeven, and they'll have 700 employees. Break even and set all of them.”
Jason Lemkin Feb 2, 2024 ▶ 3:29
Assertion Supported
Lemkin: Average Public SaaS Company Generates Over $300k Per Employee
“If you look at the average public SaaS company, they're the most efficient they've ever been in the history of SaaS. The average public SaaS company is now above 303 100,000 per employee.”
Jason Lemkin Feb 2, 2024 ▶ 4:15
Assertion Supported
Lemkin: Brex Laid Off 20% at $250M–$300M in Revenue
“And that's why even great companies like Brex just announced they had to lay off 20% at 253 hundred million in revenue.”
Jason Lemkin Feb 2, 2024 ▶ 5:37
Assertion Not checkable as stated
Lemkin: 40 of 50 VP Sales Candidates Refused Direct Selling
“I interviewed over 50 VPs of sales last year, both corporal companies and myself. 40 of them were not willing to do sales themselves anymore. Only 10 of them were willing.”
Jason Lemkin Feb 2, 2024 ▶ 6:11
Assertion Not checkable as stated
Lemkin: Majority of CS Candidates Refuse to Talk to Customers
“I interviewed almost 40 CS people last year. The majority of them are not willing to talk to customers anymore.”
Jason Lemkin Feb 2, 2024 ▶ 8:33
Insight
Lemkin: No Enterprise Customer Needs Another SaaS Product
“No one on planet Earth needs another SaaS product. They don't. Every company out there, all the Fortune 500 and Global 2000, they seem to work just fine. With whatever CRM, or marketing automation, or ABM, or whatever tool, they work just fine. They don't need…”
Jason Lemkin Feb 2, 2024 ▶ 10:04
Assertion Supported
Lemkin: OpenAI conducts annual tender offers paying engineers millions
“OpenAI for engineers does tender offers every year, where you make millions of dollars a year from working in Open.”
Jason Lemkin Feb 2, 2024 ▶ 11:10
Prediction Not checkable as stated
Lemkin: Decacorns will bifurcate SaaS and distort hiring expectations
“Now we're going to live in this bifurcated world where there's going to be whispers of folks working at Decacorns, and Decacorns, there'll be more snowflakes, and there'll be more ideas, and it's going to put a lot of pressure on the rest of us, because people…”
Jason Lemkin Feb 2, 2024 ▶ 14:06
Assertion Not checkable as stated
Lemkin: SaaS companies aim to automate at least 50% of customer interactions
“The real number everyone's trying to get to in the industry, and you can see it on things like the homepage of Intercom, is folks are trying to automate at least half of customer interactions. That's the goal across, if you talk to folks that are in support or…”
Jason Lemkin Feb 2, 2024 ▶ 15:43
Opinion
Lemkin: Integrating CS into sales weaponized teams and damaged customer relationships
“Now that CS became part of sales, CS became weaponized. CS became weaponized. CS's goal was to get blood out of the base last year. And it destroyed the relationship.”
Jason Lemkin Feb 2, 2024 ▶ 16:18
Opinion
Lemkin: The era of SaaS customer success generalists is likely over
“I just don't think that there's any great generalist role. There's no great role for, hey, I'm a generalist. I'm going to go into CS or support and just make customers happy. I'm worried this is gone. I'm worried the era of this generalist making customers hap…”
Jason Lemkin Feb 2, 2024 ▶ 16:29
Assertion Partly supported
Lemkin: ZoomInfo's annual growth collapsed from 59% to 9% in one year
“ZoomInfo, ZoomInfo went from 59% growth last year to nine percent in one year.”
Jason Lemkin Feb 2, 2024 ▶ 18:52
Prediction Not checkable as stated
Lemkin: Many founders will quit in 2024 after losing product-market fit
“And I know it's tough, and a lot of founders are going to quit this year. A lot of founders are going to quit this year, not because they're out of money, but because they fell out of product market fit, right?”
Jason Lemkin Feb 2, 2024 ▶ 21:30
Disclosure
Lemkin: A startup with $8M cash is selling for pennies
“I had a company that I invested in, eight million in the bank, Couple million in revenue. Almost no burden. They're selling their company for pennies on the dollar.”
Jason Lemkin Feb 2, 2024 ▶ 21:41
Insight
Lemkin: SaaS companies must rebuild themselves every five years
“Like, even in the good times, you have, you fall, you're constantly slowly falling out of product market fit, even in good times. And you have to rebuild yourself every five years in good times.”
Jason Lemkin Feb 2, 2024 ▶ 22:11
Disclosure
Lemkin: Invested heavily in public software stocks, believes they are 20-30% undervalued
“In fact, I put quite a bit of money for the first time ever into public stocks because I believe it. I believe they are undervalued by 20 to 30%.”
Jason Lemkin Feb 2, 2024 ▶ 25:28
Assertion Partly supported
Lemkin: Public SaaS profitability gains came from leaning on customer base, not sales efficiency
“Every single public company is radically more efficient than 18 months ago. They all were unprofitable, and now they're profitable, just cash flow positive, or positive operating margins. But we didn't get better at sales and marketing. We just leaned on our b…”
Jason Lemkin Feb 2, 2024 ▶ 26:41
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