Meaning
Statistical method of hypothesis testing where the sample size is not fixed in advance but depends on the cumulative results of sequential observations. In distributor trial periods, this wald sequential testing provides a framework for evaluating performance with the minimum possible number of transactions. It does not apply to static, retrospective performance audits.
Contractual Application
Distribution agreements can utilize this statistical method to structure flexible evaluation periods. By implementing wald sequential testing, the manufacturer can evaluate a new partner’s conversion rate continuously. If the partner’s performance is exceptionally high or exceptionally low, the trial period can be ended early, allowing for a faster transition to a permanent contract or termination.
Margin Optimization
Continuous evaluation reduces the financial risk of maintaining unproductive partners. The manufacturer can allocate marketing funds and inventory to partners who demonstrate high performance early in their trials. This sequential approach ensures that resources are directed where they are most likely to generate a positive return, which improves the overall efficiency of the distribution network.
Statistical Rigor
The method maintains the same statistical power as traditional fixed-size tests. It achieves this while requiring fewer observations on average, which reduces the operational cost of the evaluation.