Activation Metric
topic on 2 shows · 5 statements across 4 episodes
5 statements about Activation Metric, every show
Slonimski: Early Teams Must Optimize D1, D3, and D7 Activation First
“At the beginning, you optimize for D seven, and you look at D one and D three, because you can't really optimize for D 30, as you don't understand, like, what is happening in your activation process. So let's say the first six months up to 12 months, you're go…”
Gleit: Activation metric value comes from team clarity, not exact precision
“I think the majority of the value is in the latter, is just having extreme clarity around the goal and that allowed everybody to work towards optimizing the same goal. You're right, like, we did sort of just pick a point on the curve. I think it could have bee…”
Isford: Effective activation metrics must correlate with 6-month retention
“An activation metric should correlate with long-term retention. So if you activate this week, you should be more likely to be active in six months. It should also demonstrate both retention and also sophistication. Some sort of use that indicates that a habit …”
Isford: Narrow activation metrics measure company projections, not user value
“The reason why I don't like very, very narrow activation metrics is They tend to over focus to me on what the company projects as being value for the user rather than measuring if the user has found value themselves, which is often best measured by them coming…”
Early-stage startups must invest in behavioral data tracking to define activation
“But the reason I say invest early here is that to remember that it also takes time to accrue enough data that you can learn about and make some key decisions around retention, for example, or so that you have enough data to run regressions on, be able to infor…”