Topic

Retention and engagement

Whether people come back, upgrade, renew or reply. These guides show how real products define returning users and lifecycle movements, and which assumptions change the answer.

Questions in this topic

Are new visitors actually coming back?How this LookML project separates new and returning visitorsRetentionAcquisition How should upgrades, downgrades and renewals be modeled?Modeling upgrades, downgrades and renewals as daily movementsRetentionRevenue Which user interactions actually lead to replies?Measuring reply rates on proposals and messagesRetention

Best practices for this topic

Why do two reports disagree on the same metric?Filters that quietly change what a metric meansBest practicesAcquisitionRetention What is this count actually counting?Checking the primary key before you trust a countBest practicesRevenueRetention

Metrics used across these guides

New or returning in New vs returning visitors
Sessions from new visitors in New vs returning visitors
Sessions from returning visitors in New vs returning visitors
New visitor share, as named in New vs returning visitors
Visitors in New vs returning visitors
Leads in Upgrades, downgrades and renewals
Upgrades in Upgrades, downgrades and renewals
Downgrades in Upgrades, downgrades and renewals
Renewals in Upgrades, downgrades and renewals
Active subscription in Upgrades, downgrades and renewals
Proposals in Reply rates
Responses per proposal in Reply rates
Date responses per proposal in Reply rates
Messages in Reply rates

Source models

Source model LookML, Redshift SQL dating-platform: Product, revenue and customer analytics 17 views13 explores20 joins4 dashboards10 guides Source model LookML, MySQL SQL advertising-marketing-small: AdTech traffic quality 9 views9 explores0 joins1 dashboard7 guides