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40 contributions to PricingSaaS
best pricing page for agents
hi team! building out a tool that grades a pricing page on accessibility for agents. few principles so far: 1. discoverability --- llms can easily crawl site or convert into md files 2. completeness -- every plan has written overview (price if applicable, quotas/limits, triggers for upgrades / changes, overage behavior) 3. computability --- some formula or example on how to calculate a bill 4. edge cases --- definitions of specific terms, downgrades, comparisons etc 5. freshness -- changelog / version control of some sort what would you change?
0 likes • 1d
You may want to review this emerging standard on structuring pages for agents: https://openstandard.readinessindex.io/standard/
He said no to $1,500/month, then offered me more
I pitched a recruitment agency owner a weekly list of companies likely to hire soon. $1,500 a month. He said no: "I just can't pay that for a maybe." Then he offered me 10% of whatever he bills those companies instead. His last fee would have paid me about 30k. That's 20 months of the price he turned down. He said yes to 10%, paid after he gets paid. Not signed yet. My guess: a monthly fee feels like a bill. A percentage feels free until it works. Would you have held the line on the monthly price, or taken the cut?
0 likes • 1d
Long ago, I signed a contract with similar terms. Never got paid.
AI Consumption Gauge linked to capacity, and not credit usage
Hi all, Curious to get your input on this. I'm working with a couple of vertical saas editors on their AI credit structure and I’ve been noticing an interesting shift in SaaS pricing in the AI era: companies seem to be moving away from explicit usage units (credits, tokens, number of tasks) towards more abstract notions of capacity or simply a consumption gauge. ChatGPT, Claude and Notion are interesting examples of this. Upsell in the pricing page is summarized to "more AI" or "x5 more usage", but there is no real unit/metric (at least not on the pricing page) I find it surprisingly opaque for the customer, but it solves a lot of the hassle on the editor's side, and simplifies the commercial effort if go to market is done correctly. Do you think this is an emerging pricing trend?
0 likes • 3d
I'd argue that '2x' or '5x' is still tied to credits/tokens. and I agree, what it means is opaque to customers.
Charging per booked meeting. Thoughts?
I'm pricing my first cold email clients per booked meeting instead of a retainer. $250 for each meeting that actually happens, plus a one-time setup fee. No-shows are free. The hard part has been defining the unit. Rules I've written so far: - A meeting counts unless the client flags it within 48 hours (it didn't happen, or it was the wrong person). - For one deal where sales take 2 or 3 calls, only the first meeting with each company counts. The client handles the calls after that. It's the same problem you all talk about with credits. I do the counting, so how does the client trust the bill? If you've priced on outcomes: what did you count, and what did customers end up arguing about?
1 like • 17d
Attribution is the primary weakness of outcome-based pricing. The secondary weakness is not getting paid until after the fact. Can you go upstream 1 or 2 steps, and sell a bundle of leads against some matching criteria?
workshopping price... ?
is there a good place to start or workshop to go through to help build the price for my SaaS? It's ready to launch ver soon. thanks!
1 like • 21d
I've found the Van Westendorp questions are better for written surveys with 50+ respondents than in-person conversations. For in-person conversations it's more about answering, do they actually want to invest in solving the problem? and what's the quantified value of solving it. Here's a couple of my newsletter installments on how to get at price at this stage: https://forstarters.substack.com/p/for-starters-75-how-to-price-before https://forstarters.substack.com/p/for-starters-60-value-stacks
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Garrick van Buren
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@garrick-van-buren-1199
I help CEOs at B2B SaaS build revenue models from their customers' growth.

Active 1d ago
Joined Oct 10, 2025
Minneapolis, MN
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