Startup metrics: Viral factors, Retention cohorts and Engagement metrics
In this blog I will cover how to calculate 3 main essentials for Startup metrics:
Viral Factors: A simple example is importing address book. If I import address book of 100 users and send out invites for 10000 users, the child registration conversation has to be over 100%, e.g. viral factor of 1.00 for a startup to be in a growth mode.

- Build a dashboard.
- Build summary tables.
- Measure # of users.
- # invites send out.
- # open.
- # clicked.
- # converted.
- # of child registrations.
- # calculate viral factor: total child registered/total parent registered.
- Google chart intervals of viral factors, 1 day, 3 days, 7 days, 15 days, 30 days, 60 days, 90 days.
Measure how many times your users are coming back to the site.
- Build a dashboard.
- Build summary tables.
- Measure # of users (newly registered).
- # of user logins.
- # calculate retention co-efficient (cohort): amount of logged in times/total users registered
- Google chart intervals of retention cohort, 1 day, 3 days, 7 days, 15 days, 30 days, 60 days, 90 days.
Engagement Metrics:
Measure by product/feature, how many uploads, viewed, etc. metrics on how the adoption is increasing or decreasing.
- Build a dashboard.
- Build summary tables.
- Measure # of users (newly registered).
- # of uploads, # of views, # of comments, etc. aggregate.
- # calculate engagement co-efficient (cohort): amount of users engaged in content/total registered.
- Google chart intervals of retention cohort, 1 day, 3 days, 7 days, 15 days, 30 days, 60 days, 90 days.
Lessons learned:
- Don't over complicate the problem: Hadoop is a solution; Metrics is about finding the problem. Learn how to read metrics and make decisions that impact the metrics directly.
- Build vs. Buy: Build in-house analytics solutions. It takes only a couple of days to build internal metrics. Building metrics helps understanding of analytics and making educated decisions.
- Analytics companies: Google analytics, Kissmetrics, Kontagent, Mixpanel, etc.
- Extra points: Add country, email domain, age, gender, locale, etc. to viral factors, retention cohorts and engagement metrics to really understand your user demographic.
- Syslogs can be essential data to determine additional engagement metrics.
Enjoy implementing your startup metrics!





Comments