The full findings
Every question from the study, free to read and cite. Charts show the share of respondents (n=50).
How pricing models are set
"How did you arrive at your current pricing model?" (Open-ended; many named several methods, so totals exceed 100%.)
Customer conversations and sales feedback
Trial and error over time
Willingness-to-pay or conjoint research
"Over the 8 years it's been a mix of trial and error, historic data, benchmarking against competitors, and conversations with customers. I suspect GTM will always be a work in progress."CMO and co-founder, mid-market SaaS
Value-based pricing, the method most pricing books recommend, was named by only 16%. The aspirational method and the actual method are different for most of the market.
Pricing changes faster than ever, and AI is why
"When was the last time you made a significant change to your pricing or packaging? What prompted it?"
80%Changed pricing in the last 12 months or are changing it now
4%Pricing unchanged for 3+ years
The dominant trigger is AI: new AI features, token costs and outcome-based models forcing pricing rethinks. Other triggers: market consolidation, new capabilities, customer feedback about complexity, moving upmarket and bundling simplification.
"It's driven by market consolidation where products are now covering what used to be 4 separate markets. You can't charge 4x so you need to find ways to offer all-in-one pricing without giving the house away. We also have to come up with pricing for new capabilities, mainly driven by AI."VP Product Management, enterprise SaaS
Who owns pricing decisions
"Who owns pricing decisions at your company?"
Cross-functional committee
Other (ad-hoc mix of roles)
62% of companies have no single person accountable for pricing. The companies with the cleanest pricing stories had one trait in common: a single accountable owner.
Pricing research rigor
"Have you ever tested different pricing before rolling it out? If yes, how?"
Asked a few customers informally
Never tested before rollout
Live sales experiments (by rep or region)
A/B tests on the pricing page
Conjoint or willingness-to-pay studies
"Not really, mostly because we haven't had the time/resources to run tests. We have been aware that we are not pricing optimally but haven't really known how to improve. It is painful for us."VP Product Development, enterprise SaaS
Only 22% do anything that qualifies as rigorous pricing research. 62% either never test or ask a handful of friendly customers.
Pricing page transparency
"Does your pricing page show prices, or do you gate it behind 'contact sales'? Why did you make that choice?"
Hide pricing entirely ("contact sales")
Hybrid: SMB tiers visible, enterprise gated
Reasons for hiding pricing cluster around three anxieties: competitors seeing prices, complex pricing structures, and heavy discounting that makes list price fiction.
"Transparency is a core belief for us. Why hide the pricing? We have discounts available in certain scenarios that we mention, but our customers like the transparency."VP Marketing, mid-market SaaS
Pricing page testing
"Have you ever run qualitative pricing page tests or A/B tested significant changes to your pricing page? What did you learn?"
Never tested the pricing page
Qualitative research only
"While many of these were confirmatory, there were more failures than successes. That's the biggest learning. And usually the biggest wins required multiple iterations."CEO, enterprise SaaS, on running hundreds of pricing page tests
The most common reason for never testing: there is no pricing page to test. What gets gated doesn't get optimized.
Biggest pricing mistake
"What's the biggest pricing mistake you've made?"
Underpriced or raised prices too late
Wrong pricing model for the market
Rolled out pricing changes badly
Didn't do enough research
Over-discounted to win deals
"We priced too low for a long time, especially when we first launched our highest tier SKU. Had we started higher we would have grown faster and I feel confident that the market and customers would have borne it."CEO, enterprise SaaS
"Not pricing for enterprise buyers high enough thinking we didn't provide enough value to them. Fixing that allowed us to both increase price and convert at a much higher and faster rate."VP GM Product Management, mid-market SaaS
Underpricing is the #1 regret. In several stories, raising prices increased conversion rather than hurting it.
Pricing by segment
"How do you handle pricing for enterprise vs. mid-market vs. SMB?"
Same model for all segments, volume discounts
Same base model, packaged differently
Different pricing models per segment
"We tried to stretch the same model across all segments and it got messy. Enterprise, mid market, SMB all buy differently, but we were forcing them through the same structure. Created confusion, longer cycles, and mismatched expectations."Senior Vice President, mid-market SaaS
How much competitor pricing shapes yours
"How much does competitor pricing influence your own?"
Heavily: we benchmark constantly
Somewhat: aware, but go our own way
Barely: we price on value
90% let competitor pricing shape theirs. Many who answered "go our own way" described competitor benchmarking when asked how they set their pricing.
The pricing data leaders wish they had
"What's one thing about SaaS pricing you wish you had better data on?" (Top themes.)
Competitor pricing and real discounts
Willingness to pay and price elasticity
"Willingness to pay at the segment and feature level is data we are missing, especially at the feature level when we are in planning."VP GM Product Management, mid-market SaaS
Cross-question patterns
Inertia costs moneyCompanies whose pricing hadn't changed in years disproportionately named underpricing as their biggest mistake.
Benchmarking breeds its own regretThose who set pricing by benchmarking competitors were more likely to cite "race to the bottom" or "didn't capture value."
Gating and not testing reinforce each otherIf you don't publish prices, you can't test them, and without testing you have less confidence to publish.
Everyone wants competitor data, few publish their ownCompetitor pricing is the #1 data wish, while 62% hide their own pricing.
What this means for pricing teams
- Name one owner. Pricing run by committee doesn't get better over time, it gets older.
- Run one real pricing study this year. Not a few customer conversations: a structured study with 50-150 people in your ICP.
- Test your pricing page, or publish one. Check whether your reasons for gating still hold up.
- Raise prices before you think you should. Charging too much is fast to correct; charging too little is slow and expensive.
- Stop treating competitor benchmarking as a strategy. If everyone copies everyone, the category converges on a number nobody validated.