If you’re running experiments everywhere except pricing, you’re leaving growth on the table.
Most SaaS founders A/B test onboarding flows, emails, landing pages, and features - but pricing often gets treated as untouchable. Set once. Revisited maybe once a year. If ever.
That’s a mistake.
Pricing isn’t a decision. It’s a system. And the difference between static pricing and continuous pricing experiments is often the difference between stalled MRR and compounding growth.
Static Pricing: Set It and Forget It
Static pricing is exactly what it sounds like: you choose a price, publish it, and move on.
This approach feels safe because:
- There’s no risk of confusing users
- No engineering effort required
- No uncomfortable conversations
But static pricing has serious downsides:
- It ignores changes in demand
- It doesn’t reflect new features or value
- It reacts too slowly to competitors
- It provides zero learning
With static pricing, you don’t know whether your price is too high, too low, or just “acceptable.” You’re guessing - and guessing doesn’t scale.
Manual Pricing Experiments: Better, but Painful
Some founders move beyond static pricing by running manual experiments.
Examples include:
- Temporarily raising prices for new users
- Testing different tiers on different landing pages
- Offering discounts to certain cohorts
This is a big step forward. Manual experiments introduce learning.
But they come with tradeoffs:
- Slow to implement
- Hard to monitor continuously
- Easy to forget or abandon
- Risky without proper guardrails
Manual experiments work - but they require constant attention, discipline, and time. Most founders stop running them once things get busy.
Continuous Pricing Experiments: The Compounding Advantage
This is where modern SaaS pricing is heading.
Continuous pricing experiments treat pricing like any other growth lever:
- Test → measure → adjust → repeat
- Small changes instead of big jumps
- Data-driven decisions over gut feelings
Instead of asking, “Should we raise prices?” You ask, “What price maximizes MRR right now?”
Why Continuous Pricing Wins
Speed Markets move fast. Competitors change pricing weekly. Continuous systems react in near real time.
Feedback Loops Every adjustment creates data:
- Conversion changes
- Churn signals
- Revenue impact
You’re never guessing - you’re learning.
Guardrails Modern pricing experiments don’t mean chaos. You can set rules like:
- Never price below cost
- Maintain minimum margins
- Limit adjustment frequency
- Protect existing users
Pricing becomes controlled, predictable, and safe - not scary.
Why Founders Avoid Pricing Experiments
Many founders think pricing experiments are:
- Too risky
- Too complex
- Too “enterprise”
In reality, avoiding experimentation is the bigger risk. Static pricing is just an experiment you forgot to measure - and one that’s probably failing silently.
The PerfectPrice Perspective
Great pricing systems don’t guess. They learn.
PerfectPrice is built around the idea that pricing should:
- React to market data
- Adapt continuously
- Protect margins with guardrails
- Improve over time without constant manual effort
Pricing experiments shouldn’t require spreadsheets, late-night deployments, or gut checks. They should run quietly in the background - just like your infrastructure.
Final Takeaway
Static pricing feels stable - but it’s fragile.
Continuous pricing experiments create:
- Faster learning
- Better decisions
- Compounding MRR growth
If you already believe in experimentation, pricing is the most under-tested lever you have.