SaaS Metrics School · 2026-07-02 · 5 min
Key moments - from our scoring
Substance score
46 / 100
Five dimensions, 20 points each
Ray Reich's latest SaaS Metrics Benchmark report reveals a significant decline in gross revenue retention across the SaaS industry. The median GRR dropped four percentage points to 84%, while the elite top quartile fell from the long-standing 95% benchmark to 91%. Ben Murray, who uses these benchmarks with his SoftwareMetrics AI app, attributes this pressure to shifting pricing models, the declining relevance of seat-based pricing, and AI-driven market dynamics. Notably, usage-based and hybrid subscription-plus-usage models outperform pure subscription models (median GRR of 83-85% versus 81%), while vertical SaaS companies significantly outperform horizontal SaaS (90% versus 84% median GRR). Most importantly, GRR benchmarking should be segmented by ACV rather than company size - enterprises with $50-100k annual contract values achieve 91% median and 96% top quartile GRR, while sub-$5k segments see only 80% median retention. Murray emphasizes that proper benchmarking requires context-specific comparison rather than aggregate data, making GRR one of his three most critical metrics for sustainable scaling.
The median GRR is 84%, down from 88% in the previous survey, representing a four-point decline indicating retention is under pressure.
The elite benchmark is 95% GRR, though this year's top quartile dropped to 91%, suggesting the long-standing 95% standard is no longer achievable for most top performers.
Usage-based pricing achieves the highest GRR with a median of 83% and top quartile of 92%, followed by subscription-plus-usage models at 85% median, while pure subscription models lag at 81% median.
Vertical SaaS significantly outperforms horizontal SaaS with a median GRR of 90% and top quartile of 97%, compared to horizontal SaaS at 84% median.
GRR should be benchmarked by ACV segment rather than company size, as enterprise segments ($50-100k ACV) achieve 91% median GRR while sub-$5k segments achieve only 80% median.
Our reviewer’s read on each dimension, with quotes from the episode.
The episode delivers solid benchmark data and meaningful segmentation (by pricing model, vertical, ACV), but relies heavily on presenting numbers without deeper analysis of *why* these shifts are happening or what operators should do about them. The claim that retention is 'under attack' is repeated but not substantiated with root cause analysis or actionable implications.
median gross revenue retention out of the entire population that he sampled in the survey is 84%. Where was that in the previous survey? 88%. So a four point drop at median
subscription based pricing model. Median at 81, top quartile at 90. The best performer was uh, let's see, we've got usage based with a median of 83
The episode simply reports existing benchmark data from Ray Reich's published report without adding original interpretation, contrarian analysis, or first-principles thinking. The segmentation by ACV and pricing model is standard industry practice, not novel insight. No counterintuitive claims or fresh frameworks are introduced.
my latest blog post, I'll put it in the show note links because I'll give you a bit of data here. But Ray Reich at BenchMarket AI just released his latest SaaS Metrics Benchmark report
this is why I love some of these rules of thumb, if we can support that with data like where did this rule of thumb come from? The rule of thumb's been 95%
This is a solo host episode with no guest. Ben Murray presents himself as a benchmarking expert and references Ray Reich's published data, but there is no expert guest interview, practitioner testimony, or operator perspective sharing real experience. The episode is purely data presentation without the caliber friction or depth that a relevant guest would bring.
Welcome. My name is Ben Murray
I use it in my app at SoftwareMetrics AI
The episode is heavy on named metrics and specific numbers (84% median GRR, 95% to 91% top quartile, 81%-92% by pricing model, 90% vertical SaaS), and includes a clear segmentation framework (by ACV size, pricing model, vertical vs. horizontal). However, it lacks named companies, specific case studies, timelines, or evidence of *how* these numbers were collected or their limitations.
median gross revenue retention out of the entire population that he sampled in the survey is 84%. Where was that in the previous survey? 88%
The best performer was uh, let's see, we've got usage based with a median of 83 and top quartile at 92
This is a monologue, not a conversation. There is no host-guest dialogue, no follow-up questions, no pushback, and no exploration of competing perspectives. The host simply presents data sequentially without drilling deeper into anomalies, trade-offs, or practical implications for operators.
So let's dive into some of these numbers
So really interesting. Another data point for consideration
Computed from the transcript - who did the talking, and the words that came up most.
Is gross revenue retention under attack at your SaaS company? The latest benchmark data says the ground has shifted under everyone. In episode #380, Ben Murray breaks down the latest SaaS gross revenue retention benchmarks from Ray Rike's Benchmarkit report, the same data set Ben uses to benchmark his own client base. GRR is one of the power three metrics, and it is hard to scale without it. Pricing models are changing; seat-based pricing is under pressure, and AI is reshaping how revenue holds. If your board still treats 88% median GRR as the baseline, you are benchmarking against last year's reality.
Transcribed and scored by The B2B Podcast Index.
Speaker A: Is gross revenue retention under attack? Well let's find out in today's edition of SAS Metric School. Welcome. My name is Ben Murray. So my latest blog post, I'll put it in the show note links because I'll give you a bit of data here. But Ray Reich at BenchMarket AI just released his latest SaaS Metrics Benchmark report. And this is the report that I use within my client base to benchmark my SaaS clients. I use it in my app at SoftwareMetrics AI. So when you're calculating metrics we have to provide context. So we need benchmarks to see how we're performing against our peers. So today let's talk gross revenue retention. We know retention is under attack, Retention is under pressure. Changing pricing models, the death of seat based pricing, we'll see. So let's dive into some of these numbers. So headline numbers here. And again I'm going to cover just gross revenue retention because he produces a lot of metrics benchmarks here. So in the latest report, the median gross revenue retention out of the entire population that he sampled in the survey is 84%. Where was that in the previous survey? 88%. So a four point drop at median, which I think is a big drop. So retention we know is under pressure. Pricing models are changing all the AI influence here and now. What about the top quartile? So we know that rule of thumb for Mid Market Enterprise SaaS, if you're targeting that larger client base in your B2B, the elite number has been 95% GRR. And in raised data and this is why I love some of these rules of thumb, if we can support that with data like where did this rule of thumb come from? The rule of thumb's been 95% and in Ray's survey, in the last, I'd say three surveys prior to this year, the top quartile gross revenue tension has been 95%. So that supports that rule of thumb that we see that if you're operating above 95% GRR, and this is annual retention, you are elite, you are in that ah, best group of software companies. This year the top quartile retention dropped from 95 to 91. So we did an 88 to 84 at median and then a 95 to 91 for top quartile. So definitely retention is under attack here. And I think this my forecast for next year. I think this will continue. I think we just have a shaking out of all these pricing plans and all the AI influence. So how about some more numbers here? So what about pricing model. Uh, I'm sorry gross revenue attention by pricing model. And this is the entire sample in the data set. Subscription. So the lowest gross revenue retention was for a subscription based pricing model. Median at 81, top quartile at 90. The best performer was uh, let's see, we've got usage based with a median of 83 and top quartile at 92 and subscription plus usage which we've seen a lot of these companies move to, especially AI companies kind uh, of that platform plus usage fee meeting an 85% top quartile at 90%. So really interesting. Another data point for consideration. We've seen the investment vertical SaaS. Vertical SaaS has always been an interesting funding play and the funding data supports that. But in this survey B2B SaaS applications, which I assume that category is just horizontal SAS, median gross revenue tension at 84%. But if you're vertical SAS. So for those companies who submitted their data and our vertical SAS plays, they actually had a median of 90%, top quartile of 97%. So vertical SaaS outperforming horizontal SaaS in the last one that I'll show here, our show. Well you can go to the link in the show notes if you want to read my blog post on this. Uh, gross revenue retention. Now how do I benchmark my clients? I it's a mix. We can't use aggregate benchmarks, those are dangerous to our health. So some benchmark sets or metrics we're going to use are ARR size like growth rates or our OPEX profile, that's relevant to the size of our company. But say gross revenue retention, that's not really relevant to the size of our company. I benchmark gross revenue retention by ACV segments. So if you have a low price point product, the expectations of retention are much different if you're offering a uh, 250k a year price point product. So more that enterprise side and this chart plays out how you'd expect it. So at the less than 5k annual segment median gross revenue retention is 80%. And for those companies offering say 50 to 100k so we could say the enterprise segment, their gross revenue retention at median is 91% but their top quartile is at 96%. So at that gold standard level. So this is the latest data from Ray Reich at Benchmarket. Uh AI, you can go to a site and get those benchmarks yourself and I'll have the link in the show notes. But really gross revenue detention is one of my Power 3 metrics. It's hard to scale without great gross revenue retention. So this is the latest data that we're seeing on gross revenue detention. Hope you enjoyed it today. Thanks.
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