There’s a huge difference between how companies with $30M ARR and those with $200M ARR think about pricing.

I’ve been lucky to work with both. Smaller companies have some real advantages: they’re scrappy, they keep things simple, and they’re often willing to price for adoption.

But there’s a flip side. Small companies are usually afraid to make pricing changes. They believe every increase will trigger massive churn. They nervously follow competitors. They stick to single-dimensional models because they don’t want to “break” anything.

The biggest pricing challenge small companies face isn’t the model—it’s confidence.

I’m working with a client right now who struggles with this. Their customers love them. They have an ambitious roadmap and deliver real value. But because they’re still building their core product while competitors have years of a head start, they’re hesitant to make any significant pricing change—convinced that moving from $30 to $35 a month will drive away half their users.

Building confidence to make a change comes down to three things:

1. Data. Win/loss analysis, willingness-to-pay research, NPS, and competitor benchmarks all give you a foundation to make informed decisions.

2. Results. All fears melt away once the first few customers say “yes” to new pricing. The smallest bit of validation can shift an entire mindset.

3. Prioritization. Pricing confidence starts at the top. When leadership treats monetization as a priority—not an afterthought—confidence trickles down. But when the founder doubts it, it gives everyone permission to avoid the hard conversations.

Whether you use an expert or go it alone, start small. Make a minor change—say, a 3–5% increase—and use that as a way to build the muscle.

Half the reason we’re in business is to help companies climb the hill of pricing confidence. Watching those early results roll in—and years of anxiety wash away—is always incredible.

True confidence allows startups to:

We’re all rooting for the underdog. They just need to believe they can win.

The standard AI pricing playbook for SaaS apps has gone something like this:

Notion, Slack, and others have followed this path. It’s safe. It’s low-risk. Introduce AI slowly, and you never have to take it away. You minimize pricing mistakes.

But there’s a new paradigm emerging: skip the first two steps. Start with a broad rollout. Bake AI directly into your core product from day one.

A few things have changed since companies first started experimenting with AI pricing a few years ago.

While using the latest GPT-5 will still cost a premium, older models—perfectly capable for most tasks—are now cheap. The risk of a margin blowup is fading. As token costs fall, gross margins improve, allowing companies to price AI more like traditional SaaS—based on value, not compute costs.

And remember, most SaaS apps aren’t chewing through tokens like Replit or Lovable. Sentence editing, summarization, and chart generation have vastly different cost profiles than full AI-native products.

AI is everywhere—baked into products from Google, Microsoft, and beyond. Over 800 million people use ChatGPT weekly.

In just a few years, AI has gone from “nice to have” to “must have.” Customers now expect it. They’ll raise an eyebrow if your app says AI is only for the enterprise tier. People can use ChatGPT for free—why should your product gatekeep it?

SSO took a decade to become table stakes. AI will get there in a couple of years.

Bundling AI in your core offering drives adoption and sends the right signal. Boards don’t want to be left behind in the AI race. Investors want to see traction. Customers want to experiment without a giant surprise bill.

By making AI accessible, you reduce friction, earn goodwill, and learn faster.

Two caveats.

You can spend two years running pricing experiments or you can start where the SaaS giants ended up.

AI is table stakes now. Skip the cautious playbook. Build it in. Price with confidence.

Open the citadel.

“Scared money don’t make money” - Unclear

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