通过智能定价降低人工智能成本

2作者: millereffect大约 1 个月前原帖
与客户合作实施RevTurbine(revturbine.com)。我们正在实施一个反向试用,该试用是通过关键的入职动作(连接用户的交易账户)触发的,即作为完成该动作的激励。 该试用在一个单独的非公开层级上(最低付费计划功能的子集),提供了极大的灵活性:可以调整限制以控制AI成本,随意进行细分(对潜力更强的客户设置更高的限制)等,这一切都与客户承诺相符:21天试用(未指定层级)。所有操作都可以立即完成(不会影响付费客户,避免繁琐的迁移等),并且可以进行AB测试。在试用期间,您还可以根据使用情况/功能进行付费层级的追加销售(在时间限制之外作为转化时刻)。 我觉得这可能适用于其他人,所以想分享一下。如果有任何评论或问题,也很乐意听取。
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Working with a customer to implement RevTurbine (revturbine.com). We are implementing a reverse trial which is triggered by the key onboarding action (connecting the user&#x27;s trading account), i.e. used as an incentive to complete it.<p>The trial is on a separate non-public tier (subset of lowest paid plan features) which provides great flexibility: play with limits to control AI costs, segment however you like (higher limits for stronger prospects), etc - which is all in line with the customer promise: 21 day trial (no tier specified). All can be done immediately (no impact on paid customers, messy migrations, etc) and AB tested. And you have usage&#x2F;feature based upsells to the paid tier during the trial (on top of the time limit as a conversion moment).<p>This feels like it could be applicable to other folks, so thought would share. Happy to hear any comments&#x2F;questions also.