Reinventing charity advertising; using machine learning to hyper-personalise point-of-sale donation solutions.

结账捐赠解决方案已被证明可以减少50%的买家流失（eBay，2013）。此外，人们选择给予的第一个原因是因为他们觉得与事业有个人联系（好童子军，2015）。然而，尽管存在解决办法，但这些办法缺乏人情味，没有综合性，而且效率低下。Twig解决了这些问题，** 为电子商务商店提供销售点捐赠解决方案，这些商店使用机器学习向客户建议超个性化的捐赠机会，增加了成功捐赠的可能性 **;想想Netflix的“因为你看了”，而是为了慈善。Twig的解决方案 ** 显著提高了非营利部门的营销/广告效率和技术采用率。

Checkout donation solutions have been shown to reduce buyer churn by 50% (eBay, 2013). In addition, the number one reason why people choose to give is because they feel a personal connection to the cause (Good Scout, 2015). However, whilst solutions exist, they are impersonal, not integrated and inefficient. Twig solves these problems, **offering point-of-sale donation solutions to e-commerce stores that use machine learning to suggest hyper-personalised giving opportunities to customers, increasing the likelihood of a successful donation**; think Netflix's "because you watched", but for charity. Twig's solutions **significantly improve marketing/advertising efficiency and technology adoption within the nonprofit sector.**