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

结帐捐赠解决方案已被证明可以减少50%的买家流失率（eBay, 2013）。此外，人们选择捐赠的首要原因是他们觉得自己与慈善事业有联系（Good Scout, 2015）。然而，虽然存在解决方案，但它们是非个人的、不完整的、效率低下的。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，使用机器学习为客户提供超个性化的捐赠机会，增加捐赠成功的可能性**；认为Netflix是“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**

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.**