Instead of flat pricing, you treat user contributions as part of the product's growth engine. You can measure how much each user's data improves accuracy, retention, or model performance, then price tiers based on impact or consumption. Heavy contributors might pay less or even get credits, while passive users pay for access to the improved system. Tracking contribution frequency, data uniqueness, and downstream performance gains acts like a feedback loop for pricing adjustments. Over time, pricing evolves with the ecosystem rather than staying fixed.