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Enhancing Adapter Conversion Models for Service Innovation

This project aims to develop a model to analyze and optimize the conversion of potential adapters into actual users of a service or product. Initially, the model will start with a population of 1,000,000 potential adapters, of which 0.5% are innovators who autonomously become adapters. Each adapter will actively engage with 100 individuals each month, with an expected 2% conversion rate among these contacts. The goal is to refine this model through iterative improvements based on observed interactions and conversion data.

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Enhancing Adapter Conversion Models for Service Innovation

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  1. Adaptersmodel

  2. Task I • Create a model, wherepotentialadaptersbecomeadapters of someserviceorproduct. • Model: • Initialpopulation: 1 000 000 (allbelong to potentialadapters). • 0.5 % of potentialadaptersbecomeadaptersbythemselves. Let’scalltheminnovators, sincetheygetknowledge of the product/servicebythemselves.

  3. Task II – word-of-mouth • Eachadaptercontacts 100 peopleeachmonth. • 2 % of contactedpotentialadaptersbecomeadapterseachmonth.

  4. Task III • Improve the modelbyyourself.

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