If your tool solves a $3,000 problem, $149 isn't just cheap—it might actually be a red flag for enterprise or high-volume sellers who equate price with reliability. Have you considered value-based tiers? For e-commerce, a percentage of 'time saved' or a per-listing model usually captures more value. I'm working on a script for dynamic pricing optimization (parity-based) and would love to see if it helps your conversion in non-US markets. Feel free to reach out!
The point about "removing the mental overhead" is underrated. It is often the cognitive load of the pricing model, rather than the absolute cost, that kills adoption.
I'm seeing a strong parallel in SaaS regarding Purchasing Power Parity (PPP). We often assume a user in India or Brazil doesn't convert because they "can't afford" $49, but the friction is often psychological. Even for high earners in those regions, paying a double-digit USD subscription feels "wrong" or predatory relative to local goods.
Just as you are abstracting away the token math to lower the barrier to entry, we need to abstract away the currency inequality. I've been working on a client-side widget to handle this (tierwise.dev) and noticed that simply aligning the price with the user's local context making it "feel" fair spikes conversion rates significantly.
Whether it's flattening token variance or localizing purchasing power, the goal is the same: stop the user from doing math and let them focus on the product value.