From 2db8d4d544e84153f60ebf4ec40a3c78a31fb50e Mon Sep 17 00:00:00 2001 From: mav Date: Thu, 11 Apr 2024 16:52:33 -0700 Subject: [PATCH] update --- pages/2024-03-11-retention-behaviors.mdx | 13 ++++++------- ...havioralproperties.png => retentionbp.png} | Bin public/retentionbp.png | Bin 2734841 -> 0 bytes 3 files changed, 6 insertions(+), 7 deletions(-) rename public/changelog/{retentionbehavioralproperties.png => retentionbp.png} (100%) delete mode 100644 public/retentionbp.png diff --git a/pages/2024-03-11-retention-behaviors.mdx b/pages/2024-03-11-retention-behaviors.mdx index 6b50a1e18a..2b6da75d50 100644 --- a/pages/2024-03-11-retention-behaviors.mdx +++ b/pages/2024-03-11-retention-behaviors.mdx @@ -1,6 +1,6 @@ --- -title: "Find you "Aha" moment with Behavioral Properties in Retention" -slug: "changelog-2024-03-11-retention-behaviors" +title: "See what actions lead to retention with Behavioral Properties in Retention" +slug: "changelog-2024-03-11-retention-behavioral-properties" hidden: false createdAt: "2024-03-11T14:59:02.165Z" updatedAt: "2024-03-11T14:59:02.165Z" @@ -14,16 +14,15 @@ date: "2024-03-11" -Now in Retention, we’ve made it possible to breakdown users by what they do, not just who they are. This unlocks the ability to find the actions you can influence that will increase the long term retention of a user finding value. +Now in Retention, we’ve made it possible to breakdown users by what they do, not just who they are. This unlocks the ability to find the actions you can influence that will increase the long term retention of a user finding value. At its core, Behavioral Properties in Retention allows you to: - Summarize user activity after the starting event, whether it is a count of events, or a summary of properties on those events. -- Set that summary of activity in a timeframe, for example, the number of times a user does the specified activity within 7 days / 1 hour / 30 minutes of the starting event. +- Set that summary of activity in a timeframe, for example, the number of times a user does the specified activity within 7 days / 1 hour / 30 minutes of the starting event. - Uncover what activities within a certain timeframe correlate with the how often your users do the action you want them to do in the long term. -A powerful use case for Behavioral Properties in Retention is finding the “aha” moment in your product, which describes the actions a new user does after signup that lead them to become an active user of your product. -A classic example is Facebook’s “aha" moment, which was “adding 10 friends within 7 days results in a huge jump in daily active usage”. +A powerful use case for Behavioral Properties in Retention is finding the “aha” moment in your product, which describes the actions a new user does after signup that lead them to become an active user of your product. +A classic example is Facebook’s “aha" moment, which was “adding 10 friends within 7 days results in a huge jump in daily active usage”. In our own example, you can dig into what actions a user does withn 7 days after signup that lead them to watch more videos long term. The result we find is that the more channels they subscribe to, the more likely they are to retain. 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