留存

留存 (retention)

概念
本站收录 3 集 · 9 条金句 · 关联 10 个

集里怎么说它

① 提到它的金句

9 条

从来都不是那个在当下拥有最大分发的人。而是那个拥有最好留存率和参与度的人。
it was never the person who had the biggest distribution at the moment of time. It was the one that had the best retention and engagement.
—— Brian Balfour · [32:05]

指向原始笔记的链接

而当你输掉一局时,用户留存率比当你赢一局时低 10%。
And when you lose a game, user retention is 10% worse than when you win a game.
—— Albert Cheng · [66:24]

指向原始笔记的链接

自从我们切换到 deep agents 以来,我们从第一周到第四周的留存率提高了四倍。
We have four times the retention from week one to week four since we switched over to deep agents.
—— 嘉宾 · [01:30]

指向原始笔记的链接

我在这点上有个强烈的看法:你不可能拿着同一个产品把 NDR 从 20 提到 40。留存几乎是从核心产品继承来的。
My strong view on this is that you can’t take the same product and take NDR from 20 to 40. I think you almost like inherit retention based off of the core product.
—— Keith Peiris · [12:54]

指向原始笔记的链接

我们做了很多 A-B 实验,在那里我们发现的令人惊讶的结果是,把三分之一的话轮路由到小模型,对留存率几乎没有可测量的影响。
And we do a bunch of A-B experiments, and the surprising result we found there is that routing a third of our turns to the small model has almost no measurable effect on retention.
—— Paula Dozsa · [06:57]

指向原始笔记的链接

我们有留存率较低的业务,也有留存率较高的业务,但我想不起来有任何一例在 Bending Spoons 接手后留存率变差的情况。
We have businesses with lower retention, businesses with higher retention, but I can’t recall a single instance where retention got worse after Benny Spoons took over.
—— Luca Ferrari · [44:22]

指向原始笔记的链接

我们实际上发现,当用户把至少一条敏感信息连接到 Instinct、真正信任 Instinct 时,会有大约 80% 的留存率——共享一条信息就有 80%。
We actually find that when users connect at least one piece of sensitive information to instinct and really trust instinct, there’s like an 80% retention rate, 80% if you share one piece of information.
—— Noah Shinn · [26:08]

指向原始笔记的链接

能看到一个不仅持平、而且随着产品改进和用户回流而实际上呈现微笑状的留存曲线,真的、真的非常罕见。
And it’s really, really rare to see a retention profile that not only flatlines but actually smiles as the product improves and people come back to it.
—— Alex Imerman · [29:50]

指向原始笔记的链接

我以前以为我有留存问题。结果发现我有的是信息传达问题。
I used to think I had a retention problem. Turns out I had a messaging problem.
—— Jan Oberhauser · [10:01]

指向原始笔记的链接

② 出现在这些集

3 集

③ 关联

点进去有真内容 —— 本页主要出口

Lenny · Claude · Facebook · Zynga · 智能体 · Brian Balfour · Mark Pincus · Hugging Face · ChatGPT · 已验证、更好、全新