This Week: June 22 - 29
The Hot Topic 
What’s your favorite real-world pricing case study?
- Zoom’s Freemium pivot: 40-minute meeting limit instead of seat limits: smart way to drive upgrades without cannibalizing.
- HubSpot’s 3-part tariff: Flat fee + usage-based pricing to fix churn and unlock expansion.
- Google One’s repositioning: From “extra storage” to “premium membership”- a shift that made people want to pay.
Which pricing decisions actually worked - and what can we steal from them?
Full convo here
LinkedIn Crossover 
- From Wes Bush: OpenAI’s 50-year old pricing method
- From Ulrik: One simple pricing shift that turned a good business into a great one
- From Rob: Why we’re building PricingSaaS
Events 
Webinar: Now on-demand [watch now]
Annual vs Monthly vs Multiyear - led by @Ulrik
- • Effect on sales, risk, cashflow & renewal operations
- • Which time period is best for me?
- • Should you offer options for multiple periods?
- • Discounts on annual and Multi-year contracts
New Features: Filter & bookmark your favorite companies
This week, we launched two upgrades for PricingSaaS members:
Smarter filters: You can now browse 500+ pricing pages by category, from AI to Marketing, Finance, DevOps, and more.
Bookmarks: Save your favorite pricing examples and build a go-to library of pricing inspiration.
Faster access. More relevant insights.
From the Good-Better-Best Newsletter 
The most overlooked skill in pricing and packaging
Any time I see two things in one week that point to the same truth, I feel compelled to write about it.
First, Michael Hoy tagged me in a LinkedIn post about Replit’s new pricing model. At a high level, Replit updated its Agent pricing to introduce more nuance—pricing now varies by task based on level of effort.
What stood out most wasn’t the pricing itself, but the rationale behind the change. If you can’t read the excerpt above, here’s the key snippet:
“The original $0.25-per-checkpoint pricing was designed for the early version of Replit Agent, which mostly handled short, simple tasks that took a consistent amount of time. As the agent has evolved, it’s now capable of solving both more complex, longer-running tasks (like self-debugging errors) and smaller tasks more quickly. As a result, the time and effort involved in addressing user requests can vary significantly from request to request.”
My first reaction: this won’t be the last email Replit sends about pricing changes. As their agents evolve, so will their pricing and packaging.
Help Our Community Grow! 
Share the benefits you’ve discovered with colleagues and friends who might find value here.
One simple share could connect someone with exactly the resources, insights, and connections they’ve been searching for. 