The effects of disruptive communication on the engagement of users - PowerPoint PPT Presentation

The effects of disruptive communication on the engagement of users in the collaborative consumption model DURI ABDURAHMAN DURI ADVISOR: CHRIS FERNANDES

Does notification affect whether or not users are engaged?

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DISTRIBUTION OF EVENTS Email Text No Notification 5000 Notification Number of type events 3750 Number of events Email 2690 2500 Text 5520 1250 No Notification 4913 0 Is this distribution different 1 2 3 4 5 6 7 to what I expected? Week since launch

EVALUATION What would i expect if all notifications produced the same level of events per person? Chi Squared Test Average number of events per person 32 Notification Type # of people Actual Expected Email 134 2690 4289 Text 173 5520 5537 No Notification 103 4913 3297 p-value < 2.2e-16

I can now say with 99% confidence that a user’s notification type correlated with whether they are engaged or not

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DISTRIBUTION OF “ENGAGEMENT” EVENTS Email Text No Notification 1600 Notification Number of type events 1200 Number of events Email 1154 800 Text 2829 400 No Notification 1343 0 Is this distribution different 1 2 3 4 5 6 7 to what I expected? Week since launch

What would i expect if all notifications produced the same level of “engagement” events per person? Chi Squared Test Average number of events per person 17 Notification Type # of people Actual Expected Email 134 1154 1741 Text 173 2829 1338 No Notification 103 1343 2247 p-value < 2.2e-16

FUTURE WORK Notification Type # of people allocated during signup Email 155 Text 167 No Notification 132 p-value = 0.124