Growing up
@[email protected]
Conception =
Product / Value Fit
Are we or are we not?
Is it working?
Customer XYZ loves it
“Did you see the article on us
on TC?”
Is it working?
“We’ve had over a Million
Downloads?”
“We have 100k Users”
Customer XYZ loves it
“Did you see the article on us
on TC?”
Most data points = Not good predictors
Two Words: Cohort Retention
“How many people that did X came back in the next week and did X again”
ADDICTIVE +
VALUABLE
NON-ADDICTIVE +
VALUABLE
NON-ADDICTIVE +
NON-VALUABLE
ADDICTIVE +
NON-VALUABLE
VALU
E
Stickyness
ADDICTIVE +
VALUABLE
NON-ADDICTIVE +
VALUABLE
ADDICTIVE +
NON-VALUABLE-> 0%
VALU
E
Stickyness
ADDICTIVE +
VALUABLE
NON-ADDICTIVE +
VALUABLE
-> 0%-> 0%
VALU
E
Stickyness
ADDICTIVE +
VALUABLE
-> 0%-> 0%
-> >10%
VALU
E
Stickyness
-> 0%-> 0%
-> >10% -> >50%
VALU
E
Stickyness
VALU
E
Stickyness
Version 1.0 Release of iOS
K = # Touch Points
Path of Infection
Infectious Pop. *
K =
# Invites / Shares
Conversion Rate
Active Users *
RetentionEa
sier
Intentional Incremental
Har
der
Viral Drivers
Conversion
Using Cohort Retention:
-> True measure for traction -> Helps you chase value instead of vanity -> Helps you focus -> Helps you test and manage features
IF > 25% THEN [email protected]