0:03

In this brief dialogue, the speakers discuss a hands‑on approach to product pricing that leverages deep personalization and continuous testing. They argue that when offers can be customized for individual customer needs, it becomes easy to run extensive A/B price experiments. The recommended process is to iteratively raise prices until customers push back, then adjust downward if needed, while remaining emotionally detached. If a price change causes dissatisfaction, they suggest compensating the affected customer with a refund, a bonus product, or a special offer. The overall message emphasizes relentless testing over long periods, using data‑driven adjustments rather than gut feelings.

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