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Bayesian EXAWin-Rate Forecaster
Precisely predict sales success by real-time Bayesian updates of subtle signals from every negotiation. With EXAWin, sales evolves from intuition into the ultimate data science.
![BA02.[Appendix 3] Sales Success Probability Decision System](/_next/image?url=%2Fstatic%2Fimages%2FBA02_imp.png&w=3840&q=75)
BA02.[Appendix 3] Sales Success Probability Decision System
In the previous Parts 1 and 2 of the [BA02. Exa Bayesian Inference: The Invisible Hand of Sales—A 60-Day Gamble] episode, we explored how the Bayesian engine establishes 'prior beliefs' and tracks the trajectory of probabilities through 'signals' and 'silence.' Now, we hold in our hands the pure posterior probability $ P_{raw} $, precisely calculated by the Bayesian parameters α and β. However, it is not over yet. The final decision-making process remains. Even with a 60% probability, the weight of the decision can vary completely depending on whether it was derived from a single meeting or dozens of negotiations.