Startups should experiment with pricing strategies, especially when they have a small customer base, as it's easier to adjust prices than to raise them later.

Pricing should be iterative; continuously adapt and change it based on market feedback and data until you find the right price point.

Raising prices is often necessary for startups, as many technology companies underprice their products in hopes of gaining market share.

Experimentation is key in pricing strategy, especially for AI products. Testing different pricing models helps determine what resonates with customers and drives value.

Test your pricing to find out how much customers are willing to pay; as your product matures, your ideal customer profile may change, and you should adapt your pricing accordingly.

Pricing isn't permanent; you can adjust it over time as you learn more and add value to your product.

Start with a high price point to gauge market willingness; many founders are surprised by how much customers will pay for their product.

Expect your pricing strategy to evolve over time, typically every year or so, as you gather more data about your customers and market.

When setting pricing, it's important to guess a number that seems reasonable, and if you can close that sale, try doubling it the next time. Iterating based on feedback is key to finding the right price.