Quick: check your SaaS prices on vendr.com before the tariffs kick in.
Consistent price, valuable product, faster sales. We see you, @figma.
There’s a common misconception that price transparency sparks a race to the bottom.
@figma proves otherwise.
On @VendrHQ, their pricing looks like this:
✅ Standardized Pricing — consistent as quantity increases
🚫 No Discount Levers — negotiation won’t change the outcome
They’re not slashing prices in response to competitive threats. They’re not hiding from transparency.
They’re just winning.
Not because they’re the cheapest — because they’ve built a world-class product that stands on its own.
Transparency doesn’t erode value. It reveals it.
If your product can’t defend its price, it’s either a commodity, or it’s just not good enough.
Mo' agent mo' discounts... to a point.
Prediction: AI agent pricing will follow the old SaaS playbook:
More agents = lower price per agent.
But here’s the catch: AI-native has a floor.
Unlike traditional SaaS (with 80%+ gross margins), AI-native products carry real infra costs—GPU, inference, bandwidth. That means tighter margins and less room to discount, especially at scale.
Take @Zendesk.
@VendrHQ data shows the per-agent price drops as volume grows, but bottoms out above 1,000 agents — and doesn’t move from there.
Even if buyers want steeper discounts, vendors can’t oblige. There’s a hard cost floor, and the pricing curve flattens fast.
If this pattern holds, it changes how we think about price elasticity in the AI era.
Vendr retweeted
People hating on @11x_official's GTM motion are missing the point.
I dug into @VendrHQ's data to better understand how they’re structuring their deals—and here’s what shows up:
Grace Period Discount
(spoiler: they use structured discounting to drive urgency and get signatures by a specific date)
-15% discount if signed on or before XX
-5% discount if signed between XX
-No discount after XX
Service Term
(spoiler: they put their money where their mouth is—if the product doesn’t deliver, you can walk)
-12-month term
-3-month minimum with a break clause
-To break, just send 1-week notice before the end of month 3
In the early days, you do whatever it takes to land the next customer. That often means flexing terms to make it a no-brainer. This isn’t an 11x thing—it’s just startup sales.
If anything, these guys should be rewarded for creating a buyer-friendly, transparent agreement.
Big news — you can now unlock three Buyer Guides of choice with your free Vendr account 🎉
Buyer Guides are the most comprehensive collection of #software pricing data and insights that help you get a fair deal every time.
Get started free: visit.vendr.com/4b0AliN
Wondering what it’s like to take advantage of free net new negotiations with Vendr? Meet Bree: one of our experts who will help ensure you get a fair deal.
With avg savings of $14,452 per transaction, free negotiation support is our ultimate no-brainer visit.vendr.com/3VkPSFz
Best way to drive max power from our free product? Connect it to the tools you rely on every day.
Our integrations do the heavy lifting to accelerate procurement, streamline comms, enhance security + surface insights.
Learn more ab/ integrations here: vendr.com/products/integrati…
Get everything you need to secure your software purchase — fast.
Free intakes, approval workflows, renewal management, and supplier management.
Your stakeholders are going to love you.
It’s all available for free in our product. Get started here: visit.vendr.com/3VkPSFz
Vendr retweeted
Replying to @chamath
@chamath predicted the future on @theallinpod: 80% feature-complete software at 90% discounts. @DavidSacks inspired us to make it happen at @VendrHQ, for procurement.
We tripled the amount of companies that use Vendr, essentially overnight.
Buying software with Vendr is like having the answers the night before the test.
Buyer Guides give you pricing benchmarks to discover how your price compares to others and ensure you get a fair deal.
Check out 50+ Buyer Guides today with a free account: app.vendr.com/create-account…
Our ultimate no-brainer — Vendr will now negotiate every new software purchase for you for free.
How much can Vendr help you save?
On average, we save users $14,452 per contract.
Never buy software alone again. Create a free account here: app.vendr.com/create-account…
Vendr retweeted
Is your business overpaying for software? You almost certainly are if you’re not using the new @VendrHQ marketplace. Craft discovered @VendrHQ during YC and love @ryanRNeu’s vision for changing how software is bought & sold by making the process, pricing & terms transparent.
Vendr retweeted
Replying to @B2Bsalesandmkg @OnlyCFO
We opened up @VendrHQ for free because we believe that universal access is required to change the game. Everyone deserves transparency, fair prices, and fast processes.
Disruption may be a byproduct but not the goal.
We dropped a big news yesterday: Vendr is now free.
Now, you can access pricing benchmarks, negotiation support, and #procurement automation for free.
Why?
We see fair pricing for #software not as a luxury, but as a right. Check out the blog for more: vendr.com/blog/stop-overpayi…
Vendr retweeted
Pretty cool that many features of vendr.com are now free.
—pricing benchmarks
—procurement automation
—negotiation support
Lot of people probably interested in diving into pricing benchmarks
Get bids on any #software in 24 hours - 100% free and anonymous.
Vendr Bids cuts the hassle of #SaaS sales, linking buyers with sellers for quick, competitive quotes. Now live on @ProductHunt!
producthunt.com/posts/vendr-…
Vendr retweeted
How does your company get on base?
@VendrHQ dropped a bombshell report on Q2 SaaS buying patterns. The chart that caught my eye analyzed average Annualized Contract Value x Transaction Count across the SaaS universe.
Most SaaS companies pick a lane, or decide what game they're playing, to increase either deal size or deal speed. They’re deciding if they want to optimize for home runs or base hits.
Typically speaking, high velocity sales motions have lower ACVs but faster sales cycles, and correspondingly low CAC Payback Periods.
And enterprise field sales motions require long lead times with heavy investments in expensive sales reps (sluggers). This plays out in delayed CAC Payback Periods, but higher net dollar retention rates, as big customers stick around longer and expand, making up for smaller, churning SMB accounts.
Each strategy has its merits. But you’d totally take the best of both worlds if you could.
I split Vendr’s graphic into 4 quadrants, remixing it with MLB namesakes:
*Mario Mendoza*: A light-hitting shortstop in the late 1970’s who failed to achieve a batting average above .200 five times in his nine big league seasons. The “Mendoza Line” was named after him, representing the absolute bare minimum you need to stick around in the big leagues, or theoretically any endeavor.
*Pete Rose*: The all-time leader in singles with 3,215 over his career. This guy got on base like an absolute banshee. He was a high velocity hitter who made first base his second home.
*Barry Bonds*: Hit a record 762 home runs in his career. That’s a lot of ding dongs. He was a power hitter, through and through.
*Babe Ruth*: Still has the best slugging percentage in MLB history at .6897%. Slugging percentage represents the total number of bases a player records per at-bat. In other words, he was the best mix of singles and homeruns.
Some observations:
-The Mario Mendoza Quadrant: What you don’t want to be is a low volume, singles hitter. This will get you sent back down to the Pawtucket Red Sox.
-The Pete Rose Quadrant: Docusign, 1Password, and Carta get on base at a remarkable clip. They are grinding out base hits at a high velocity, becoming ubiquitous apps for all SaaS companies. Although their deal sizes are smaller, they're table stake apps.
-The Barry Bonds Quadrant: DataDog, Zendesk, and Looker are smashing shots over the fence.
-The Babe Ruth Quadrant: This is the golden quadrant. Salesforce is closing DataDog sized deals at a Docusign velocity (nuts!)
***So how do I become Babe Ruth?***
You need one or more of the following:
-Quasi monopolistic powers for your product offering (Salesforce’s CRM)
-Competitive moats (ZoomInfo’s deep data moat)
-Critical infrastructure characteristics (Netsuite’s financial backbone)
-Powerful Network effects (Each LinkedIn user makes the network incrementally more valuable)
When I look at Vendr’s latest report, I see competitive moats.
Use your moat to get on base this quarter. Best of luck.
Mostlymetrics.com
👀🚀📊
How does your company get on base?
@VendrHQ dropped a bombshell report on Q2 SaaS buying patterns. The chart that caught my eye analyzed average Annualized Contract Value x Transaction Count across the SaaS universe.
Most SaaS companies pick a lane, or decide what game they're playing, to increase either deal size or deal speed. They’re deciding if they want to optimize for home runs or base hits.
Typically speaking, high velocity sales motions have lower ACVs but faster sales cycles, and correspondingly low CAC Payback Periods.
And enterprise field sales motions require long lead times with heavy investments in expensive sales reps (sluggers). This plays out in delayed CAC Payback Periods, but higher net dollar retention rates, as big customers stick around longer and expand, making up for smaller, churning SMB accounts.
Each strategy has its merits. But you’d totally take the best of both worlds if you could.
I split Vendr’s graphic into 4 quadrants, remixing it with MLB namesakes:
*Mario Mendoza*: A light-hitting shortstop in the late 1970’s who failed to achieve a batting average above .200 five times in his nine big league seasons. The “Mendoza Line” was named after him, representing the absolute bare minimum you need to stick around in the big leagues, or theoretically any endeavor.
*Pete Rose*: The all-time leader in singles with 3,215 over his career. This guy got on base like an absolute banshee. He was a high velocity hitter who made first base his second home.
*Barry Bonds*: Hit a record 762 home runs in his career. That’s a lot of ding dongs. He was a power hitter, through and through.
*Babe Ruth*: Still has the best slugging percentage in MLB history at .6897%. Slugging percentage represents the total number of bases a player records per at-bat. In other words, he was the best mix of singles and homeruns.
Some observations:
-The Mario Mendoza Quadrant: What you don’t want to be is a low volume, singles hitter. This will get you sent back down to the Pawtucket Red Sox.
-The Pete Rose Quadrant: Docusign, 1Password, and Carta get on base at a remarkable clip. They are grinding out base hits at a high velocity, becoming ubiquitous apps for all SaaS companies. Although their deal sizes are smaller, they're table stake apps.
-The Barry Bonds Quadrant: DataDog, Zendesk, and Looker are smashing shots over the fence.
-The Babe Ruth Quadrant: This is the golden quadrant. Salesforce is closing DataDog sized deals at a Docusign velocity (nuts!)
***So how do I become Babe Ruth?***
You need one or more of the following:
-Quasi monopolistic powers for your product offering (Salesforce’s CRM)
-Competitive moats (ZoomInfo’s deep data moat)
-Critical infrastructure characteristics (Netsuite’s financial backbone)
-Powerful Network effects (Each LinkedIn user makes the network incrementally more valuable)
When I look at Vendr’s latest report, I see competitive moats.
Use your moat to get on base this quarter. Best of luck.
Mostlymetrics.com
Well deserved: congrats @1Password team!
We are proud to announce that 1Password has been named the Top Purchased Password Manager by @VendrHQ in their Q2 2023 SaaS Report! 🥇
Learn about the top newly purchased products for the quarter and why 1Password topped the list: bit.ly/43yPiEo












